Machine Learning/Data Science Engineer at CapTech | Atlanta

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.

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.

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.

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 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 (

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

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.

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!

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.

About the Team: The Sensors Division at Systems Technology Research (STR) is dedicated to pioneering advanced sensor systems and platforms to fulfill national security demands. Our key areas of focus encompass airborne, spaceborne, and surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and electro-optical/infrared (EO/IR) sensing technologies. Our Division’s initiatives span various technical domains, including RF analog and digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation. The Algorithms, Processing, and Experimentation (APEX) Group specializes in the development of RF and radar modes, skills, and applications, emphasizing sophisticated signal processing chains and related algorithm research. We advance these technologies with the aim of implementation, integration, and practical application in RF-based systems, typically customized to meet the specific needs of Defense organizations such as the Air Force, Space Force, Navy, DARPA, and the Intelligence Community. About the Role: As a Lead Principal Signal Processing Researcher, you will be responsible for assembling and guiding technical teams in the creation, testing, integration, and demonstration of innovative signal processing, optimization, and machine learning algorithms tailored for advanced electronic warfare and sensor applications. The ideal candidate will possess proven leadership capabilities and extensive expertise in several areas, including optimization, electronic warfare, adaptive signal processing, machine learning, algorithm development, integration, test & evaluation, modeling & simulation, systems engineering, radar systems, or communications systems. This role necessitates proficiency in collaborating within and leading multidisciplinary teams focused on designing, analyzing, integrating, and demonstrating signal processing algorithms for complex systems. What You Will Do: Innovate electronic warfare and radar system concepts, signal processing, and machine learning algorithms, addressing remote sensing challenges. Provide technical leadership to small, multidisciplinary teams developing, implementing, testing, and integrating novel sensing, electronic warfare, and signal processing systems. Oversee modeling and simulation activities of advanced RF systems to support algorithm development, testing, and integration. Plan and facilitate algorithm testing and evaluation activities, assessing performance in both laboratory and field settings. Effectively communicate with customers, stakeholders, sponsors, prime contractors, and subcontractors.

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.

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.

Join a global team of visionaries and trailblazers at New Relic, where we are committed to redefining the future of observability. Our intelligent platform empowers businesses to excel in an AI-driven landscape by providing unmatched insights into their intricate systems. As we grow our global presence, we are eager to find passionate individuals ready to help elite companies optimize their digital applications. If you’re prepared to be part of this transformative journey, we encourage you to consider a career with us!Your opportunityAs a Lead Data Scientist, you will play a pivotal role within the analytics organization, spearheading the creation of sophisticated data products and machine learning solutions that drive strategic decisions. Collaborating closely with product, engineering, and strategy teams, you will extract profound insights from our extensive telemetry data. In this impactful individual contributor position, you will establish benchmarks for technical excellence, design scalable data science frameworks, and mentor junior data scientists, all while addressing complex challenges in the observability domain.What you’ll doLead the design, development, and implementation of advanced machine learning models and predictive algorithms to tackle essential business challenges, including churn prediction, user segmentation, and product usage forecasting.Act as a technical subject matter expert, advising the team on best practices in statistical analysis, experimental design, and code quality.Collaborate with Product Managers and Engineers to transform vague business inquiries into structured data science projects with tangible results.Promote the adoption of MLOps best practices, ensuring that models are scalable, reproducible, and effectively monitored in production.Conduct in-depth analyses of user behavior and product performance to uncover optimization and growth opportunities.Mentor and nurture fellow data scientists and analysts, fostering a culture of ongoing technical learning and innovation.Effectively communicate complex technical insights to non-technical stakeholders through engaging data storytelling and visualization.

About Us:Geotab Inc. is a global frontrunner in the Internet of Things (IoT) and connected transportation, proudly recognized as a certified “Great Place to Work™.” Our diverse and talented team collaborates to empower businesses to thrive while enhancing the safety and sustainability of our communities.At Geotab, we are revolutionizing security by connecting commercial vehicles to the internet and providing web-based analytics that enable our customers to optimize their fleets. With our open platform and the Geotab Marketplace®, which features hundreds of third-party solutions, we facilitate seamless operations for businesses of all sizes by integrating vehicle data with existing data assets. Processing billions of data points daily, we leverage advanced data analytics and machine learning to enhance productivity, reduce fuel consumption, improve driver safety, and ensure compliance with regulatory changes.As we expand our team, we seek passionate individuals who think outside the box and aim to make a significant impact. Our fast-paced, dynamic environment encourages Geotabbers to embrace challenges and take on diverse responsibilities that may extend beyond the initial job description. Join us for a rewarding career filled with opportunities for innovation, excellent benefits, and a fun, inclusive work culture. Discover your full potential with Geotab. To learn more about our culture, visit our blog and follow us @InsideGeotab on Instagram. Join our talent network to stay updated on job opportunities.

About PrizePicks PrizePicks stands as the fastest-growing sports company in North America, according to Inc. 5000. As a leader in Daily Fantasy Sports, the platform covers a wide range of leagues, including the NFL, NBA, and top Esports titles such as League of Legends and Counter-Strike. The company employs over 550 people and values an inclusive culture where individuals from all backgrounds can thrive. Role Overview: Senior Data Scientist - Acquisition Marketing The Senior Data Scientist will join the Acquisition Marketing Analytics team to strengthen strategic measurement efforts. This position focuses on managing and advancing tools like media mix modeling and ongoing incrementality testing with paid partners. The goal: optimize how PrizePicks invests across acquisition channels. Key Responsibilities Oversee and improve measurement frameworks for acquisition marketing, including media mix modeling. Lead continuous incrementality testing with paid media partners. Analyze data from various acquisition channels to guide investment decisions. Translate complex model results into clear, actionable recommendations for marketing strategy. What We’re Looking For Strong background in causal inference and applied statistics. Experience working at the intersection of data science and marketing strategy. Ability to communicate technical findings in ways that drive business decisions. Location Atlanta, GA preferred. Remote considered.

The Southern Poverty Law Center is looking for a dedicated Senior Analyst for Evaluation and Research, who is passionate about advancing racial justice, democracy, and civic engagement!As a Senior Analyst, you will design and implement processes and criteria that facilitate organizational learning and measure our progress towards strategic impact goals.

Who We AreSamsara (NYSE: IOT) is a leader in the Connected Operations™ Cloud, empowering organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational improvements. We are committed to enhancing the safety, efficiency, and sustainability of critical sectors, including agriculture, construction, field services, transportation, and manufacturing, which together represent over 40% of the global GDP. Our goal is to facilitate a large-scale digital transformation of these industries.At Samsara, you will play a pivotal role in defining the future of physical operations, contributing to a diverse range of innovative product solutions such as Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a publicly traded company, you will have the support and autonomy to make a meaningful impact as we build for the long term.About the Role:Are you passionate about developing high-impact AI applications that enhance workplace efficiency? Samsara’s Integrations, Data Engineering, and AI (IDEA) team is a crucial segment of our Business Technology organization, driving innovation through data and AI solutions. Our mission is to equip every Samsara employee with powerful AI tools to enhance productivity. We connect technology, innovation, and business requirements to integrate AI-driven solutions throughout our organization.We are searching for a proactive AI Engineer to design, implement, and scale Samsara’s AI applications from end to end. As an AI Engineer IV, you will manage the entire lifecycle of AI systems—from initial design and prototyping to production deployment, monitoring, and continuous improvement. Collaboration with architects, engineers, and cross-functional stakeholders will be essential as you brainstorm, design, rapidly prototype, and deploy AI-enabled features that integrate seamlessly into our operational workflows.

OverviewShift4 Payments, Inc. (NYSE: FOUR) is revolutionizing the world of commerce by streamlining intricate payment ecosystems globally. As a frontrunner in commerce-enabling technology, Shift4 facilitates billions of transactions each year for countless businesses across diverse industries. For more details, visit www.shift4.com. Senior User Experience ResearcherShift4 Payments, Inc. (NYSE: FOUR) is at the forefront of redefining commerce by simplifying complex payment systems worldwide. As the leader in commerce-enabling technology, Shift4 supports billions of transactions annually for a wide array of businesses.What We’re Looking ForOur Merchant Experience team is establishing a research practice within Shift4 Labs™, a customer-driven product incubator designed to create products that elevate our Merchants. We seek a seasoned, human-centered User Experience Researcher to bolster current product initiatives and lay the groundwork for the Shift4 Labs design research practice.Initially, our focus will be on developing agile usability evaluation processes and formalizing customer insights. Ultimately, we envision expanding the research practice within Shift4 Labs to include more generative research activities.

Join Headlands Research, a pioneering organization committed to enhancing the landscape of clinical trial delivery in our communities. As a prominent network of advanced clinical trial sites, we utilize state-of-the-art technology and exemplary support services to expand outreach and participation. Since our inception in 2018, we have rapidly scaled to operate over 20 sites across the United States and Canada, with ambitious plans for further growth.The CompanyClinical Research Atlanta (CRA), based in Stockbridge, Georgia, is a distinguished multi-specialty research center recognized for its commitment to excellence. With an impressive track record of over 300 clinical trials across diverse therapeutic areas such as addiction, dermatology, and infectious diseases, CRA is known for its stellar recruitment performance and operational efficiency. Our strong community presence and dedication to advancing medical innovation play a crucial role in developing new therapies that enhance patient health and outcomes. Championing Diversity in Clinical TrialsAt Headlands Research, diversity is not merely a checklist item; it is ingrained in our mission. We are dedicated to advancing medical science through promoting diversity across all aspects of clinical trial research, ensuring that inclusivity is at the core of our efforts. The Role of a LifetimeAre you prepared to make a significant impact? In our collaborative and supportive environment, you will flourish where your contributions are valued. A high standard of professionalism is a hallmark of our culture at Headlands. Responsibilities:Lead and manage clinical trials, ensuring adherence to protocol requirements, regulatory standards, and ethical guidelines.Provide mentorship and leadership to site staff, fostering a culture of inclusivity, diversity, and professionalism within the research team.Engage in investigator meetings and educational initiatives to stay current with advancements in clinical research and diversity initiatives.Secure IRB approval for study initiation and any protocol modifications.Oversee subject safety, trial conduct compliance, and the informed consent process.Efficiently communicate with stakeholders including sponsors, monitors, regulators, and research network leadership.Deliver ongoing training and support to research staff.