Staff Machine Learning Engineer - VoIP Infrastructure

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

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 (

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.

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.

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.

Aerovect is seeking a dedicated and skilled Staff Software Engineer specializing in Infrastructure to join our dynamic team in Atlanta. As a critical member of our engineering department, you will be responsible for designing, building, and maintaining robust infrastructure systems that support our innovative technology solutions.Your expertise will play a vital role in enhancing system performance, scalability, and reliability. You will work closely with cross-functional teams to ensure seamless integration and deployment of our systems, driving efficiency and effectiveness in our operations.

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.

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.

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.

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.

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.

Join the GTM Engineering Team at TRACTIANAt TRACTIAN, our Go-To-Market (GTM) Engineering Team plays a vital role in supporting our operations across the US, Brazil, and Mexico. We are at the forefront of creating the data infrastructure, systems, and processes that enhance our GTM efforts and directly influence our customer interactions.Your RoleAs a Software Engineer specializing in Demo Infrastructure at TRACTIAN, you will be responsible for overseeing the technical demo infrastructure that showcases our product to clients. This role requires you to perform as a full-stack engineer, developing and maintaining the systems, data pipelines, and integrations necessary for creating realistic and scalable demo environments. Your contributions will empower our sales teams to deliver exceptional demos that secure client agreements.

Join Valorem Reply, an award-winning digital transformation firm, where we lead the way in delivering innovative solutions centered around data-driven enterprises, IT modernization, and enhanced customer experiences. Our focus on product transformation and the digital workplace harnesses the power of Microsoft technologies to deliver hyper-scale and agile digital business services. We are dedicated to securely and rapidly transforming the way our clients engage with their businesses.We seek a skilled DevOps Engineer to architect, automate, and scale cloud-native infrastructures that support enterprise-level applications. In this pivotal role, you will manage Kubernetes environments, develop CI/CD pipelines, and oversee cloud platform operations specifically within Google Cloud Platform (GCP). The ideal candidate will possess a strong background in automation and experience with production-grade distributed systems.

Join Nagarro as a Senior Staff Engineer specializing in Delivery, where you'll play a pivotal role in shaping the future of our engineering projects. Your expertise will drive innovation and ensure the successful implementation of cutting-edge solutions.

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.

Join our dynamic team at Sonsoft Inc. as an AWS Cloud Infrastructure Engineer. We are seeking a dedicated professional who excels in designing, implementing, and managing cloud-based infrastructures. In this role, you will leverage your expertise in AWS technologies to drive innovation and efficiency across our projects.

Join our dynamic team at Nagarro as a Senior Staff Engineer, Delivery. In this pivotal role, you will drive innovative solutions and lead engineering projects that impact our clients and their industries. You will collaborate with cross-functional teams to ensure timely and efficient delivery of high-quality software solutions.

Speechify builds tools that turn reading materials into audio, helping over 50 million people access content in new ways. Our products work across iOS, Android, Mac, Chrome Extension, and Web. Google named us Chrome Extension of the Year, and Apple recognized us with the 2025 Design Award for Inclusivity. Our remote team includes nearly 200 professionals from leading tech companies and top universities. Collaboration happens across frontend and backend engineering, AI research, and more, without a central office. About the Role The Data team in Speechify’s AI group is hiring a Software Engineer focused on data infrastructure and acquisition. This role is central to collecting and managing the large-scale datasets that support our model training. The work combines infrastructure, engineering, and research to deliver high-quality data at petabyte scale and low cost. What You Will Do Find and source new audio data for our ingestion pipeline. Manage and improve our cloud infrastructure for data ingestion, currently on Google Cloud Platform (GCP) and maintained with Terraform. Work with Scientists to optimize cost, throughput, and data quality, supporting larger and richer datasets for advanced models. Partner with the AI team and company leadership to shape the dataset roadmap for future consumer and enterprise products. Location This position is based in Atlanta, GA, USA.