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Experience Level
Senior
Qualifications
Design Scalable ML Systems: Architect and develop comprehensive machine learning infrastructure, facilitating the transition of experimental Data Science models into production-grade, high-availability services. Implement Real-Time Inference at Scale: Create automation systems for deploying low-latency services that deliver model inferences in milliseconds, supporting real-time decision-making across the platform, from dynamic odds creation to risk assessments and intelligent deposit defaults. Feature Engineering & Data Strategy: Lead the development and optimization of a centralized feature store essential for training sophisticated models across various business domains. Oversee End-to-End MLOps: Collaborate with the Infrastructure team to construct and maintain essential components of the ML platform, ensuring seamless operations and reliability.
About the job
PrizePicks stands out as a major player in Daily Fantasy Sports, offering contests across leagues like the NFL, NBA, and popular Esports titles. The company has grown rapidly, earning recognition as North America's fastest-growing sports company by Inc. 5000. With a team of over 550, PrizePicks values an inclusive workplace that welcomes people from all backgrounds, regardless of their sports interests.
Role overview
The Senior Machine Learning Platform Engineer will focus on building and advancing the machine learning platform at PrizePicks. This role is central to scaling and deploying machine learning capabilities that shape user experiences on the platform.
Key impact areas
Integrate low-latency machine learning models into systems for sports betting and daily fantasy sports
Improve core metrics, including Time-to-Bet, Deposit Velocity, and Platform Integrity
Location
This position is based in Atlanta, GA, though remote work is also supported.
About PrizePicks
PrizePicks is recognized as the leading platform for Daily Fantasy Sports, rapidly expanding its reach across North America. Our inclusive work environment champions diversity, empowering talented individuals to innovate and thrive within a collaborative setting.
Full-time|$160K/yr - $210K/yr|Remote|Atlanta, GA preferred, Remote
PrizePicks stands out as a major player in Daily Fantasy Sports, offering contests across leagues like the NFL, NBA, and popular Esports titles. The company has grown rapidly, earning recognition as North America's fastest-growing sports company by Inc. 5000. With a team of over 550, PrizePicks values an inclusive workplace that welcomes people from all backgrounds, regardless of their sports interests. Role overview The Senior Machine Learning Platform Engineer will focus on building and advancing the machine learning platform at PrizePicks. This role is central to scaling and deploying machine learning capabilities that shape user experiences on the platform. Key impact areas Integrate low-latency machine learning models into systems for sports betting and daily fantasy sports Improve core metrics, including Time-to-Bet, Deposit Velocity, and Platform Integrity Location This position is based in Atlanta, GA, though remote work is also supported.
Role overview FanDuel seeks a Staff Machine Learning Engineer based in Atlanta to lead projects that use advanced artificial intelligence and machine learning methods. This role centers on designing and developing scalable ML solutions that enhance FanDuel’s products and services. What you will do Design and implement machine learning systems that support product and user experience objectives Set technical direction for major projects and initiatives Mentor engineers, sharing knowledge and encouraging professional growth Deliver solutions that directly affect FanDuel’s growth and user satisfaction Who succeeds in this role Engineers with deep experience in machine learning and artificial intelligence Leaders who value mentoring and shaping technical strategy Individuals motivated by seeing their work influence product direction and company outcomes
Full-time|$220K/yr - $280K/yr|Remote|Atlanta, GA preferred, Remote
Join PrizePicks, the fastest-growing sports company in North America as recognized by Inc. 5000. As the premier platform for Daily Fantasy Sports, we engage fans across various sports leagues, including the NFL, NBA, and popular Esports titles such as League of Legends and Counter-Strike. Our diverse team of over 550 employees flourishes in an inclusive culture that celebrates individuals from all backgrounds, regardless of their level of sports enthusiasm. Are you ready to transform the DFS landscape with us?As a Staff Machine Learning Engineer, you will take the lead in developing, maintaining, and testing projects related to our global search functionality. You will design and implement a native Search & Discovery Module powered by our Dataverse Stack, with the aim of delivering a search experience that is not only fast (
Join Our Team as a Machine Learning Engineer! At FanDuel, we consider data to be the driving force behind our success. As a Machine Learning Engineer, you will play a pivotal role in harnessing our extensive real-time and relational data to deliver exceptional insights to our business and create tailored experiences for our customers. Every action taken by our users—be it a click, a bet, or a play—is an opportunity for us to extract valuable knowledge and make swift, informed decisions that keep us ahead of the competition. Collaboration is essential in this role. You will serve as the crucial link between engineering teams focused on enhancing our online applications and data teams responsible for sourcing the necessary data for feature engineering. Additionally, you will work closely with Data Scientists and Analysts to implement, evaluate, and validate AI-driven insights. Your task will involve organizing, modeling, and presenting our data cohesively to stakeholders, enabling FanDuel to adapt intelligently to developments on the field and in the market. If you are a Machine Learning Engineer eager to transition into a big data environment, we want to hear from you!
As a Lead Machine Learning Engineer at CapTech, you will be at the forefront of designing and implementing innovative, data-driven solutions for our clientele. Your primary focus will be on developing and deploying scalable machine learning systems within enterprise environments. At CapTech, we foster a collaborative atmosphere, offering numerous opportunities to engage with and learn from fellow analysts, architects, and clients.Key responsibilities for the Lead Machine Learning Engineer role include: Collaborating with clients, data scientists, engineers, and cross-functional teams to devise end-to-end machine learning solutions and explore new methodologies in data science to fulfill business objectives.Providing technical leadership and ensuring alignment of technical solutions with client requirements across teams.Translating client needs into data-driven processes, models, and analytical metrics.Conducting analysis and transformation of large datasets leveraging various enterprise-level data platforms such as AWS, Azure, and GCP.Designing, developing, and deploying advanced analytical solutions utilizing client data, including recommender systems, natural language processing, and risk scoring.Optimizing and scaling machine learning systems to meet client specifications.Enhancing CapTech’s Machine Learning and Data Science capabilities through client presentations, proposal writing, participation in business development events, and mentoring junior data scientists and engineers.
About GBGEmpowering Safe and Rewarding Digital Experiences for Real People WorldwideAt GBG, we are dedicated to broadening access to digital opportunities for authentic individuals, while enabling businesses to connect with genuine customers. Our advanced technology leverages diverse and credible data sources to establish a definitive reference point for identity and address verification.With over three decades of industry experience, our team is committed to fostering safe and rewarding digital interactions for everyone. We believe that people of all ages, locations, and backgrounds should have the ability to digitally validate their identity and residence.About the Team and RoleThe CVML TeamsAs a core component of GBG's Documents and Biometrics portfolio, our team is dedicated to developing innovative and robust artificial intelligence models aimed at transforming KYC verification for our clients. We are at the forefront of advancing these state-of-the-art technologies, striving to deliver exceptional solutions for document verification and digital trust. Our collaborative approach harnesses a wide range of expertise to achieve collective success, and we operate within an Agile framework to enhance efficiency through automation.Senior Machine Learning EngineerThe Senior Machine Learning Engineer is a pivotal contributor responsible for architecting, building, deploying, and continuously refining machine learning and computer vision models that drive production-grade systems. This position demands a blend of hands-on technical proficiency, mentorship, collaborative efforts, and data-driven problem-solving capabilities.Working in an Agile setting, the Senior ML Engineer collaborates with the machine learning team and cross-functional partners to translate product requirements into robust ML solutions. The role necessitates deep expertise in contemporary ML and computer vision methodologies, experience in operating models in production environments, and the ability to mentor junior engineers through the entire ML lifecycle while driving significant improvements in model performance and product quality.Key ResponsibilitiesTechnical Development & InnovationDesign, implement, and optimize cutting-edge machine learning and computer vision models to elevate product capabilities.Conduct research, evaluation, and application of modern architectures and techniques, including CNNs, transformers, and vision-language models.Implement and benchmark newly developed algorithms on large-scale datasets, validating both accuracy and throughput.Refine large-scale models utilizing efficient adaptation techniques such as LoRA and QLoRA.Model Evaluation & Data AnalysisDefine, implement, and monitor suitable evaluation metrics (e.g., precision, recall, ROC-AUC, confusion matrices).Analyze training data and model performance to drive improvements.
Role Overview ServiceNow is hiring a Staff Machine Learning Engineer focused on VoIP Infrastructure in Atlanta. This position centers on developing and refining machine learning models to strengthen VoIP services. The work involves close collaboration with teams across the company to bring advanced algorithms into current systems. The goal: improve reliability and quality for users.
As a Machine Learning/Data Science Engineer at CapTech, you will play a pivotal role in crafting and executing innovative data-driven solutions for our clients. Your main focus will be on architecting and deploying scalable machine learning systems within enterprise settings. At CapTech, we foster a collaborative culture that encourages continuous learning and knowledge sharing among analysts, architects, and clients.Key Responsibilities:Collaborate effectively with clients, data scientists, engineers, and cross-functional teams to deliver comprehensive end-to-end machine learning solutions while exploring new methodologies to fulfill business objectives.Translate client needs into actionable data-driven processes, models, and analytical metrics.Perform in-depth analysis and transformation of extensive datasets hosted on various enterprise-level data platforms, including AWS, Azure, and GCP.Design, develop, and implement advanced analytical solutions utilizing client data, such as recommender systems, natural language processing models, and risk assessment frameworks.Operationalize machine learning systems with an emphasis on optimization and scalability to meet client expectations.Contribute to the growth of CapTech’s Machine Learning and Data Science practices by delivering engaging client presentations, crafting proposals, participating in business development events, and mentoring junior data scientists and engineers.
Join our dynamic team at Turnitin as a Senior Machine Learning Scientist, where your expertise in Machine Learning will be pivotal to our innovative product roadmap. Collaborate with a global community of inquisitive scientists and engineers dedicated to developing advanced, well-engineered Machine Learning systems. You will closely partner with our product and engineering teams to seamlessly integrate Machine Learning into a comprehensive suite of tools for learning, teaching, and academic integrity.With a robust user base consisting of hundreds of thousands of educators and millions of students worldwide, your work will have a significant global impact. Our platform has facilitated the submission of billions of papers, with numerous assessments graded using our technology. Machine Learning underpins various aspects of our offerings, including AI Writing detection, automated feedback systems, authorship analysis, and innovative assessment solutions.Key Responsibilities:Develop novel and effective ML models and algorithms in a fast-paced applied science environment.Utilize your deep understanding of machine learning mathematics to create unique model architectures and training methodologies.Stay updated on the latest research in AI and Deep Learning, applying relevant advancements to your projects.Write production-ready code and conduct model training on large-scale datasets, leveraging distributed computing resources.Engage in dataset generation, exploration, and analysis, ensuring efficient handling of extensive datasets.Participate in model maintenance, code optimization, and prepare models for deployment in production environments.
Internship|On-site|Atlanta, Georgia, United States
Are you driven by the challenge of harnessing machine learning to reshape the semiconductor design landscape? Join Falcomm, where we are dedicated to pioneering advancements in semiconductor technologies by infusing AI solutions into the creation and optimization of our energy-efficient power amplifier products. As a Machine Learning Software Engineer Intern specializing in AI/CAD Integration, you will work alongside a talented team to design and implement AI/ML models that enhance CAD workflows, automate design processes, and expedite innovations in RFIC design.This internship presents a remarkable chance to engage at the crossroads of software engineering, machine learning, and semiconductor design, directly contributing to the development of tools and methodologies that will lead the charge in next-generation hardware solutions.
Full-time|Remote|Remote (Atlanta, Austin, San Francisco, Seattle)
Role overview ditto is seeking a Senior Platform Engineer, Operator for a fully remote role. This position is open to candidates located in Atlanta, Austin, San Francisco, or Seattle. The focus is on designing, building, and maintaining systems that keep company operations running smoothly and efficiently at scale. What you will do Design and implement systems that improve platform scalability, performance, and reliability. Maintain and enhance the existing infrastructure to support ongoing business operations. Work closely with cross-functional teams to address technical challenges and streamline processes. Use technical expertise and leadership to drive key platform initiatives. Requirements Extensive experience in platform engineering. Strong problem-solving abilities and a collaborative mindset. Proven ability to contribute technical insights and lead engineering projects. Location This is a remote position. Candidates must be based in Atlanta, Austin, San Francisco, or Seattle.
Turnitin is a pioneering force in the global education sector, having collaborated with educational institutions for over two decades to foster honesty, consistency, and fairness across diverse subject areas and assessment types. Our products and services are utilized by more than 16,000 academic institutions, publishers, and corporations worldwide.At Turnitin, we embrace a remote-first culture as our default working model. We honor local cultures, promote diversity, and respect personal choices. Our headquarters is based in Oakland, with additional offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), and Amsterdam (Netherlands). Our united team of diverse professionals is driven by a common goal to enhance the educational landscape. This remote-first environment ensures that every team member has equal access to learning and career advancement opportunities, allowing us to innovate by recruiting talent from various backgrounds.Machine Learning is pivotal to our company's ongoing success. Join our dynamic global team of inquisitive, collaborative, and self-sufficient scientists and engineers, all dedicated to creating state-of-the-art Machine Learning systems. You will collaborate closely with product and engineering teams across Turnitin, integrating Machine Learning into an extensive range of learning, teaching, and integrity products.We are uniquely positioned to leverage Machine Learning for the benefit of countless instructors teaching millions of students globally. Your work will have a far-reaching impact. Billions of papers have been submitted to Turnitin's platform, with hundreds of millions of assessments graded via our Gradescope and Examsoft solutions. Machine Learning drives our AI Writing detection system, automates feedback on student writing, analyzes authorship, transforms assessment design and grading, and plays a vital role in many backend processes.
Senior Platform Support EngineerJoin our SRE Operations team as a Senior Platform Support Engineer, where you will play a pivotal role in maintaining the seamless operation of Saviynt’s Enterprise Identity Cloud around the clock. This position emphasizes the importance of platform stability, performance, and reliability with a focus on application layer support and operational accountability. Collaborating with fellow operations team members, development, and engineering, you will tackle issues, implement enhancements, and deliver outstanding support. This is an ideal opportunity for individuals who relish operational challenges and enjoy problem-solving in a fast-paced cloud environment, seeing their projects through to fruition.KEY RESPONSIBILITIESExhibit strong pod-level troubleshooting capabilities in AKS/EKS (going beyond mere pod restarts).Analyze performance issues pertaining to applications and databases (RDS, MySQL).Conduct thorough investigations into application performance issues (Java, Grails, Hibernate), identifying root causes and proposing solutions.Supervise monitoring of our SaaS applications and their underlying infrastructure (Kubernetes on AWS and Azure, VPN connections, customer applications, Elastic Search, MySQL) for alerts and performance discrepancies.Possess a solid understanding of fundamental computing concepts such as DNS, IP addressing, Networking, and LDAP.
At Turnitin, Machine Learning is a cornerstone of our ongoing success and innovation. Join us on an exciting journey as we strive to push the boundaries of technology in education. As a Principal Machine Learning Scientist, you will be part of a diverse and dynamic global team comprised of inquisitive scientists and engineers, all dedicated to developing and implementing state-of-the-art Machine Learning systems.Your role will involve collaborating closely with product and engineering teams across Turnitin to seamlessly integrate advanced Machine Learning capabilities into a wide range of educational and integrity tools. Your work will impact hundreds of thousands of educators and millions of students globally. With billions of papers processed and countless assessments graded on our platforms, your contributions will resonate on a grand scale.Machine Learning underpins our AI Writing detection system, automates feedback on student assignments, investigates authorship, and transforms how assessments are created and graded. You will play a pivotal role in this transformative process.Key Responsibilities:Design and develop innovative and deployable Machine Learning models and solutions tailored to unique challenges.Possess a deep understanding of Machine Learning mathematics and theory, enabling the design of novel model architectures, loss functions, and training methodologies.Stay updated on the latest advancements in AI and Deep Learning, applying relevant findings to your work.Write production-level code and ensure models are deployable within our products.Manage the training of large models, leveraging multiple GPUs and nodes while optimizing for performance and cost.Conduct dataset exploration, generation, design, and analysis, often dealing with large data sets.Present findings internally and contribute to publications in peer-reviewed journals.
Smarsh seeks a Senior Platform Engineer I based in Atlanta. This position centers on building and refining platform features that enable reliable software delivery across the organization. Role overview This engineer will play a key part in shaping the systems that support Smarsh’s software teams. The focus is on both development and improvement of core platform capabilities. Collaboration Work involves close coordination with teams throughout the company. Expect to contribute to system design and architecture discussions, sharing insights and helping guide technical decisions.
Who are we?At Smarsh, we empower organizations to manage risks and harness insights within their digital communications. Our robust community of over 6,500 clients in regulated sectors relies on us daily to identify compliance, legal, and reputational risks across more than 80 communication channels, preventing potential regulatory penalties and negative press. Our commitment to relentless innovation has earned us consistent recognition from esteemed analysts like Gartner and Forrester, and our rapid growth has placed Smarsh on the Inc. 5000 list of fastest-growing American companies since 2008.Position OverviewJoin the SMB Platform Engineering team at Smarsh as we drive the reliability, automation, and advancement of the infrastructure supporting our SMB Product—a vital archiving and communication surveillance platform currently operating on-premises. In the coming year, our team will expand to include cloud infrastructure responsibilities as part of Smarsh's extensive platform modernization initiative.As a Senior Platform Engineer, you will have ownership over the design, implementation, and management of infrastructure automation and platform tooling within our on-premises environment, with cloud responsibilities anticipated to be integrated soon. You will independently tackle complex projects and act as a technical liaison to other Smarsh platform teams. Success in your first year will include a measurable decrease in operational toil, the completion of at least one major automation or migration project, and the development of comprehensive runbooks for the systems you manage.
Smarsh supports over 6,500 organizations in regulated industries as they manage risk and extract insights from digital communications. Clients use Smarsh to identify compliance, legal, and reputational risks across more than 80 channels, helping them avoid regulatory penalties and negative press. Industry analysts, including Gartner and Forrester, have recognized Smarsh’s work, and the company has appeared on the Inc. 5000 list every year since 2008. Role overview This Senior Platform Engineer II position (IC4 level) is based in Atlanta and centers on AWS cloud networking, hybrid connectivity, and regulated cloud environments. The role involves designing, automating, and managing secure, scalable network infrastructure across multiple AWS environments. A significant focus is maintaining compliance with FedRAMP standards. Key responsibilities Design secure, scalable network architectures within AWS Automate deployment and management of cloud networking solutions Support hybrid connectivity between AWS and on-premises systems Ensure all network solutions comply with FedRAMP requirements Collaborate with Platform, Security, and CI/CD teams to deliver highly available, auditable solutions Requirements Extensive experience with AWS cloud networking Background in hybrid connectivity and regulated cloud environments Understanding of FedRAMP compliance Strong ability to work with Platform, Security, and CI/CD teams
About SaviyntSaviynt is at the forefront of identity security, offering an innovative AI-driven platform designed to govern and protect access to applications, data, and business processes for enterprises and government bodies worldwide. In this AI era, Saviynt empowers organizations to accelerate their operations securely and in compliance with regulations. Importance of This RoleAs a Staff Platform Engineer at Saviynt, you will be pivotal in maintaining the high availability, scalability, and security of our complex, cloud-native systems that underpin our SaaS platform as we continue to expand.This is a hands-on engineering position with a focus on technical leadership. You will take charge of the reliability of major platform domains, devise scalable solutions using Kubernetes and AWS, and spearhead automation and reliability enhancements across various teams. Your ResponsibilitiesIn this crucial role, you will design, build, and maintain the foundational infrastructure services and platforms critical for our product and application teams.Your efforts will be directed towards developing reusable, reliable, and scalable solutions that simplify complexity, enabling teams to concentrate on their core business logic and expedite feature delivery in a multi-cloud environment.Key responsibilities include:Designing and developing core platform components and shared infrastructure services for integration with development teams.Architecting, implementing, and managing highly available Kubernetes platforms as a service for internal users.Creating robust internal tools and automation for infrastructure provisioning and management, primarily utilizing Go (Golang).Optimizing foundational solutions within cloud environments (AWS, Azure, etc.) by establishing reusable patterns and modules.Designing and implementing shared Event-Driven Architecture components and messaging platforms using technologies like Kafka or Google Pub/Sub.Developing and maintaining reliable CI/CD pipelines (e.g., GitLab CI and ArgoCD) to provide standardized and automated deployment workflows.Building resilient Distributed Systems components that enhance reliability, fault tolerance, and performance.Managing and optimizing shared infrastructure across Multi-Region Cloud Environments to ensure global availability and performance.Establishing and refining centralized observability systems to monitor and enhance platform services.
Full-time|Remote|Remote (Atlanta, Austin, San Francisco, Seattle)
ditto is hiring an Engineering Manager to lead the Platform team. This remote role is available to candidates based in Atlanta, Austin, San Francisco, or Seattle. The Platform team focuses on building and integrating solutions that support both user experience and the company’s operational needs. Role overview The Engineering Manager will oversee a group of engineers dedicated to platform systems. This position involves guiding the team’s technical direction and ensuring that platform solutions are both scalable and reliable. What you will do Lead and mentor engineers working on platform systems Guide the development of scalable, reliable solutions Work closely with cross-functional teams to align on project goals and deliverables Encourage continuous improvement and technical excellence within the team Ensure platform integrations operate smoothly and support business objectives Requirements Experience managing engineering teams Strong background in building scalable systems Skilled in project management and working across teams Comfortable working remotely and leading distributed teams Proven commitment to team growth and maintaining high standards
Join AbbVie, a global biopharmaceutical company, as a Senior DevSecOps Engineer focusing on Platform and Tooling. This remote position invites you to lead initiatives that enhance our software security and operational efficiency within the DevSecOps framework. Collaborate with cross-functional teams to integrate security practices into the DevOps processes, ensuring a seamless and secure delivery pipeline.
Full-time|$160K/yr - $210K/yr|Remote|Atlanta, GA preferred, Remote
PrizePicks stands out as a major player in Daily Fantasy Sports, offering contests across leagues like the NFL, NBA, and popular Esports titles. The company has grown rapidly, earning recognition as North America's fastest-growing sports company by Inc. 5000. With a team of over 550, PrizePicks values an inclusive workplace that welcomes people from all backgrounds, regardless of their sports interests. Role overview The Senior Machine Learning Platform Engineer will focus on building and advancing the machine learning platform at PrizePicks. This role is central to scaling and deploying machine learning capabilities that shape user experiences on the platform. Key impact areas Integrate low-latency machine learning models into systems for sports betting and daily fantasy sports Improve core metrics, including Time-to-Bet, Deposit Velocity, and Platform Integrity Location This position is based in Atlanta, GA, though remote work is also supported.
Role overview FanDuel seeks a Staff Machine Learning Engineer based in Atlanta to lead projects that use advanced artificial intelligence and machine learning methods. This role centers on designing and developing scalable ML solutions that enhance FanDuel’s products and services. What you will do Design and implement machine learning systems that support product and user experience objectives Set technical direction for major projects and initiatives Mentor engineers, sharing knowledge and encouraging professional growth Deliver solutions that directly affect FanDuel’s growth and user satisfaction Who succeeds in this role Engineers with deep experience in machine learning and artificial intelligence Leaders who value mentoring and shaping technical strategy Individuals motivated by seeing their work influence product direction and company outcomes
Full-time|$220K/yr - $280K/yr|Remote|Atlanta, GA preferred, Remote
Join PrizePicks, the fastest-growing sports company in North America as recognized by Inc. 5000. As the premier platform for Daily Fantasy Sports, we engage fans across various sports leagues, including the NFL, NBA, and popular Esports titles such as League of Legends and Counter-Strike. Our diverse team of over 550 employees flourishes in an inclusive culture that celebrates individuals from all backgrounds, regardless of their level of sports enthusiasm. Are you ready to transform the DFS landscape with us?As a Staff Machine Learning Engineer, you will take the lead in developing, maintaining, and testing projects related to our global search functionality. You will design and implement a native Search & Discovery Module powered by our Dataverse Stack, with the aim of delivering a search experience that is not only fast (
Join Our Team as a Machine Learning Engineer! At FanDuel, we consider data to be the driving force behind our success. As a Machine Learning Engineer, you will play a pivotal role in harnessing our extensive real-time and relational data to deliver exceptional insights to our business and create tailored experiences for our customers. Every action taken by our users—be it a click, a bet, or a play—is an opportunity for us to extract valuable knowledge and make swift, informed decisions that keep us ahead of the competition. Collaboration is essential in this role. You will serve as the crucial link between engineering teams focused on enhancing our online applications and data teams responsible for sourcing the necessary data for feature engineering. Additionally, you will work closely with Data Scientists and Analysts to implement, evaluate, and validate AI-driven insights. Your task will involve organizing, modeling, and presenting our data cohesively to stakeholders, enabling FanDuel to adapt intelligently to developments on the field and in the market. If you are a Machine Learning Engineer eager to transition into a big data environment, we want to hear from you!
As a Lead Machine Learning Engineer at CapTech, you will be at the forefront of designing and implementing innovative, data-driven solutions for our clientele. Your primary focus will be on developing and deploying scalable machine learning systems within enterprise environments. At CapTech, we foster a collaborative atmosphere, offering numerous opportunities to engage with and learn from fellow analysts, architects, and clients.Key responsibilities for the Lead Machine Learning Engineer role include: Collaborating with clients, data scientists, engineers, and cross-functional teams to devise end-to-end machine learning solutions and explore new methodologies in data science to fulfill business objectives.Providing technical leadership and ensuring alignment of technical solutions with client requirements across teams.Translating client needs into data-driven processes, models, and analytical metrics.Conducting analysis and transformation of large datasets leveraging various enterprise-level data platforms such as AWS, Azure, and GCP.Designing, developing, and deploying advanced analytical solutions utilizing client data, including recommender systems, natural language processing, and risk scoring.Optimizing and scaling machine learning systems to meet client specifications.Enhancing CapTech’s Machine Learning and Data Science capabilities through client presentations, proposal writing, participation in business development events, and mentoring junior data scientists and engineers.
About GBGEmpowering Safe and Rewarding Digital Experiences for Real People WorldwideAt GBG, we are dedicated to broadening access to digital opportunities for authentic individuals, while enabling businesses to connect with genuine customers. Our advanced technology leverages diverse and credible data sources to establish a definitive reference point for identity and address verification.With over three decades of industry experience, our team is committed to fostering safe and rewarding digital interactions for everyone. We believe that people of all ages, locations, and backgrounds should have the ability to digitally validate their identity and residence.About the Team and RoleThe CVML TeamsAs a core component of GBG's Documents and Biometrics portfolio, our team is dedicated to developing innovative and robust artificial intelligence models aimed at transforming KYC verification for our clients. We are at the forefront of advancing these state-of-the-art technologies, striving to deliver exceptional solutions for document verification and digital trust. Our collaborative approach harnesses a wide range of expertise to achieve collective success, and we operate within an Agile framework to enhance efficiency through automation.Senior Machine Learning EngineerThe Senior Machine Learning Engineer is a pivotal contributor responsible for architecting, building, deploying, and continuously refining machine learning and computer vision models that drive production-grade systems. This position demands a blend of hands-on technical proficiency, mentorship, collaborative efforts, and data-driven problem-solving capabilities.Working in an Agile setting, the Senior ML Engineer collaborates with the machine learning team and cross-functional partners to translate product requirements into robust ML solutions. The role necessitates deep expertise in contemporary ML and computer vision methodologies, experience in operating models in production environments, and the ability to mentor junior engineers through the entire ML lifecycle while driving significant improvements in model performance and product quality.Key ResponsibilitiesTechnical Development & InnovationDesign, implement, and optimize cutting-edge machine learning and computer vision models to elevate product capabilities.Conduct research, evaluation, and application of modern architectures and techniques, including CNNs, transformers, and vision-language models.Implement and benchmark newly developed algorithms on large-scale datasets, validating both accuracy and throughput.Refine large-scale models utilizing efficient adaptation techniques such as LoRA and QLoRA.Model Evaluation & Data AnalysisDefine, implement, and monitor suitable evaluation metrics (e.g., precision, recall, ROC-AUC, confusion matrices).Analyze training data and model performance to drive improvements.
Role Overview ServiceNow is hiring a Staff Machine Learning Engineer focused on VoIP Infrastructure in Atlanta. This position centers on developing and refining machine learning models to strengthen VoIP services. The work involves close collaboration with teams across the company to bring advanced algorithms into current systems. The goal: improve reliability and quality for users.
As a Machine Learning/Data Science Engineer at CapTech, you will play a pivotal role in crafting and executing innovative data-driven solutions for our clients. Your main focus will be on architecting and deploying scalable machine learning systems within enterprise settings. At CapTech, we foster a collaborative culture that encourages continuous learning and knowledge sharing among analysts, architects, and clients.Key Responsibilities:Collaborate effectively with clients, data scientists, engineers, and cross-functional teams to deliver comprehensive end-to-end machine learning solutions while exploring new methodologies to fulfill business objectives.Translate client needs into actionable data-driven processes, models, and analytical metrics.Perform in-depth analysis and transformation of extensive datasets hosted on various enterprise-level data platforms, including AWS, Azure, and GCP.Design, develop, and implement advanced analytical solutions utilizing client data, such as recommender systems, natural language processing models, and risk assessment frameworks.Operationalize machine learning systems with an emphasis on optimization and scalability to meet client expectations.Contribute to the growth of CapTech’s Machine Learning and Data Science practices by delivering engaging client presentations, crafting proposals, participating in business development events, and mentoring junior data scientists and engineers.
Join our dynamic team at Turnitin as a Senior Machine Learning Scientist, where your expertise in Machine Learning will be pivotal to our innovative product roadmap. Collaborate with a global community of inquisitive scientists and engineers dedicated to developing advanced, well-engineered Machine Learning systems. You will closely partner with our product and engineering teams to seamlessly integrate Machine Learning into a comprehensive suite of tools for learning, teaching, and academic integrity.With a robust user base consisting of hundreds of thousands of educators and millions of students worldwide, your work will have a significant global impact. Our platform has facilitated the submission of billions of papers, with numerous assessments graded using our technology. Machine Learning underpins various aspects of our offerings, including AI Writing detection, automated feedback systems, authorship analysis, and innovative assessment solutions.Key Responsibilities:Develop novel and effective ML models and algorithms in a fast-paced applied science environment.Utilize your deep understanding of machine learning mathematics to create unique model architectures and training methodologies.Stay updated on the latest research in AI and Deep Learning, applying relevant advancements to your projects.Write production-ready code and conduct model training on large-scale datasets, leveraging distributed computing resources.Engage in dataset generation, exploration, and analysis, ensuring efficient handling of extensive datasets.Participate in model maintenance, code optimization, and prepare models for deployment in production environments.
Internship|On-site|Atlanta, Georgia, United States
Are you driven by the challenge of harnessing machine learning to reshape the semiconductor design landscape? Join Falcomm, where we are dedicated to pioneering advancements in semiconductor technologies by infusing AI solutions into the creation and optimization of our energy-efficient power amplifier products. As a Machine Learning Software Engineer Intern specializing in AI/CAD Integration, you will work alongside a talented team to design and implement AI/ML models that enhance CAD workflows, automate design processes, and expedite innovations in RFIC design.This internship presents a remarkable chance to engage at the crossroads of software engineering, machine learning, and semiconductor design, directly contributing to the development of tools and methodologies that will lead the charge in next-generation hardware solutions.
Full-time|Remote|Remote (Atlanta, Austin, San Francisco, Seattle)
Role overview ditto is seeking a Senior Platform Engineer, Operator for a fully remote role. This position is open to candidates located in Atlanta, Austin, San Francisco, or Seattle. The focus is on designing, building, and maintaining systems that keep company operations running smoothly and efficiently at scale. What you will do Design and implement systems that improve platform scalability, performance, and reliability. Maintain and enhance the existing infrastructure to support ongoing business operations. Work closely with cross-functional teams to address technical challenges and streamline processes. Use technical expertise and leadership to drive key platform initiatives. Requirements Extensive experience in platform engineering. Strong problem-solving abilities and a collaborative mindset. Proven ability to contribute technical insights and lead engineering projects. Location This is a remote position. Candidates must be based in Atlanta, Austin, San Francisco, or Seattle.
Turnitin is a pioneering force in the global education sector, having collaborated with educational institutions for over two decades to foster honesty, consistency, and fairness across diverse subject areas and assessment types. Our products and services are utilized by more than 16,000 academic institutions, publishers, and corporations worldwide.At Turnitin, we embrace a remote-first culture as our default working model. We honor local cultures, promote diversity, and respect personal choices. Our headquarters is based in Oakland, with additional offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), and Amsterdam (Netherlands). Our united team of diverse professionals is driven by a common goal to enhance the educational landscape. This remote-first environment ensures that every team member has equal access to learning and career advancement opportunities, allowing us to innovate by recruiting talent from various backgrounds.Machine Learning is pivotal to our company's ongoing success. Join our dynamic global team of inquisitive, collaborative, and self-sufficient scientists and engineers, all dedicated to creating state-of-the-art Machine Learning systems. You will collaborate closely with product and engineering teams across Turnitin, integrating Machine Learning into an extensive range of learning, teaching, and integrity products.We are uniquely positioned to leverage Machine Learning for the benefit of countless instructors teaching millions of students globally. Your work will have a far-reaching impact. Billions of papers have been submitted to Turnitin's platform, with hundreds of millions of assessments graded via our Gradescope and Examsoft solutions. Machine Learning drives our AI Writing detection system, automates feedback on student writing, analyzes authorship, transforms assessment design and grading, and plays a vital role in many backend processes.
Senior Platform Support EngineerJoin our SRE Operations team as a Senior Platform Support Engineer, where you will play a pivotal role in maintaining the seamless operation of Saviynt’s Enterprise Identity Cloud around the clock. This position emphasizes the importance of platform stability, performance, and reliability with a focus on application layer support and operational accountability. Collaborating with fellow operations team members, development, and engineering, you will tackle issues, implement enhancements, and deliver outstanding support. This is an ideal opportunity for individuals who relish operational challenges and enjoy problem-solving in a fast-paced cloud environment, seeing their projects through to fruition.KEY RESPONSIBILITIESExhibit strong pod-level troubleshooting capabilities in AKS/EKS (going beyond mere pod restarts).Analyze performance issues pertaining to applications and databases (RDS, MySQL).Conduct thorough investigations into application performance issues (Java, Grails, Hibernate), identifying root causes and proposing solutions.Supervise monitoring of our SaaS applications and their underlying infrastructure (Kubernetes on AWS and Azure, VPN connections, customer applications, Elastic Search, MySQL) for alerts and performance discrepancies.Possess a solid understanding of fundamental computing concepts such as DNS, IP addressing, Networking, and LDAP.
At Turnitin, Machine Learning is a cornerstone of our ongoing success and innovation. Join us on an exciting journey as we strive to push the boundaries of technology in education. As a Principal Machine Learning Scientist, you will be part of a diverse and dynamic global team comprised of inquisitive scientists and engineers, all dedicated to developing and implementing state-of-the-art Machine Learning systems.Your role will involve collaborating closely with product and engineering teams across Turnitin to seamlessly integrate advanced Machine Learning capabilities into a wide range of educational and integrity tools. Your work will impact hundreds of thousands of educators and millions of students globally. With billions of papers processed and countless assessments graded on our platforms, your contributions will resonate on a grand scale.Machine Learning underpins our AI Writing detection system, automates feedback on student assignments, investigates authorship, and transforms how assessments are created and graded. You will play a pivotal role in this transformative process.Key Responsibilities:Design and develop innovative and deployable Machine Learning models and solutions tailored to unique challenges.Possess a deep understanding of Machine Learning mathematics and theory, enabling the design of novel model architectures, loss functions, and training methodologies.Stay updated on the latest advancements in AI and Deep Learning, applying relevant findings to your work.Write production-level code and ensure models are deployable within our products.Manage the training of large models, leveraging multiple GPUs and nodes while optimizing for performance and cost.Conduct dataset exploration, generation, design, and analysis, often dealing with large data sets.Present findings internally and contribute to publications in peer-reviewed journals.
Smarsh seeks a Senior Platform Engineer I based in Atlanta. This position centers on building and refining platform features that enable reliable software delivery across the organization. Role overview This engineer will play a key part in shaping the systems that support Smarsh’s software teams. The focus is on both development and improvement of core platform capabilities. Collaboration Work involves close coordination with teams throughout the company. Expect to contribute to system design and architecture discussions, sharing insights and helping guide technical decisions.
Who are we?At Smarsh, we empower organizations to manage risks and harness insights within their digital communications. Our robust community of over 6,500 clients in regulated sectors relies on us daily to identify compliance, legal, and reputational risks across more than 80 communication channels, preventing potential regulatory penalties and negative press. Our commitment to relentless innovation has earned us consistent recognition from esteemed analysts like Gartner and Forrester, and our rapid growth has placed Smarsh on the Inc. 5000 list of fastest-growing American companies since 2008.Position OverviewJoin the SMB Platform Engineering team at Smarsh as we drive the reliability, automation, and advancement of the infrastructure supporting our SMB Product—a vital archiving and communication surveillance platform currently operating on-premises. In the coming year, our team will expand to include cloud infrastructure responsibilities as part of Smarsh's extensive platform modernization initiative.As a Senior Platform Engineer, you will have ownership over the design, implementation, and management of infrastructure automation and platform tooling within our on-premises environment, with cloud responsibilities anticipated to be integrated soon. You will independently tackle complex projects and act as a technical liaison to other Smarsh platform teams. Success in your first year will include a measurable decrease in operational toil, the completion of at least one major automation or migration project, and the development of comprehensive runbooks for the systems you manage.
Smarsh supports over 6,500 organizations in regulated industries as they manage risk and extract insights from digital communications. Clients use Smarsh to identify compliance, legal, and reputational risks across more than 80 channels, helping them avoid regulatory penalties and negative press. Industry analysts, including Gartner and Forrester, have recognized Smarsh’s work, and the company has appeared on the Inc. 5000 list every year since 2008. Role overview This Senior Platform Engineer II position (IC4 level) is based in Atlanta and centers on AWS cloud networking, hybrid connectivity, and regulated cloud environments. The role involves designing, automating, and managing secure, scalable network infrastructure across multiple AWS environments. A significant focus is maintaining compliance with FedRAMP standards. Key responsibilities Design secure, scalable network architectures within AWS Automate deployment and management of cloud networking solutions Support hybrid connectivity between AWS and on-premises systems Ensure all network solutions comply with FedRAMP requirements Collaborate with Platform, Security, and CI/CD teams to deliver highly available, auditable solutions Requirements Extensive experience with AWS cloud networking Background in hybrid connectivity and regulated cloud environments Understanding of FedRAMP compliance Strong ability to work with Platform, Security, and CI/CD teams
About SaviyntSaviynt is at the forefront of identity security, offering an innovative AI-driven platform designed to govern and protect access to applications, data, and business processes for enterprises and government bodies worldwide. In this AI era, Saviynt empowers organizations to accelerate their operations securely and in compliance with regulations. Importance of This RoleAs a Staff Platform Engineer at Saviynt, you will be pivotal in maintaining the high availability, scalability, and security of our complex, cloud-native systems that underpin our SaaS platform as we continue to expand.This is a hands-on engineering position with a focus on technical leadership. You will take charge of the reliability of major platform domains, devise scalable solutions using Kubernetes and AWS, and spearhead automation and reliability enhancements across various teams. Your ResponsibilitiesIn this crucial role, you will design, build, and maintain the foundational infrastructure services and platforms critical for our product and application teams.Your efforts will be directed towards developing reusable, reliable, and scalable solutions that simplify complexity, enabling teams to concentrate on their core business logic and expedite feature delivery in a multi-cloud environment.Key responsibilities include:Designing and developing core platform components and shared infrastructure services for integration with development teams.Architecting, implementing, and managing highly available Kubernetes platforms as a service for internal users.Creating robust internal tools and automation for infrastructure provisioning and management, primarily utilizing Go (Golang).Optimizing foundational solutions within cloud environments (AWS, Azure, etc.) by establishing reusable patterns and modules.Designing and implementing shared Event-Driven Architecture components and messaging platforms using technologies like Kafka or Google Pub/Sub.Developing and maintaining reliable CI/CD pipelines (e.g., GitLab CI and ArgoCD) to provide standardized and automated deployment workflows.Building resilient Distributed Systems components that enhance reliability, fault tolerance, and performance.Managing and optimizing shared infrastructure across Multi-Region Cloud Environments to ensure global availability and performance.Establishing and refining centralized observability systems to monitor and enhance platform services.
Full-time|Remote|Remote (Atlanta, Austin, San Francisco, Seattle)
ditto is hiring an Engineering Manager to lead the Platform team. This remote role is available to candidates based in Atlanta, Austin, San Francisco, or Seattle. The Platform team focuses on building and integrating solutions that support both user experience and the company’s operational needs. Role overview The Engineering Manager will oversee a group of engineers dedicated to platform systems. This position involves guiding the team’s technical direction and ensuring that platform solutions are both scalable and reliable. What you will do Lead and mentor engineers working on platform systems Guide the development of scalable, reliable solutions Work closely with cross-functional teams to align on project goals and deliverables Encourage continuous improvement and technical excellence within the team Ensure platform integrations operate smoothly and support business objectives Requirements Experience managing engineering teams Strong background in building scalable systems Skilled in project management and working across teams Comfortable working remotely and leading distributed teams Proven commitment to team growth and maintaining high standards
Join AbbVie, a global biopharmaceutical company, as a Senior DevSecOps Engineer focusing on Platform and Tooling. This remote position invites you to lead initiatives that enhance our software security and operational efficiency within the DevSecOps framework. Collaborate with cross-functional teams to integrate security practices into the DevOps processes, ensuring a seamless and secure delivery pipeline.
Mar 23, 2026
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