Machine Learning Software Engineer Intern - AI/CAD Integration

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.

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!

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.

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 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 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.

Join ClarityPay as the Director of Data Science, where you will lead groundbreaking data initiatives and drive strategic decision-making through data-driven insights. In this pivotal role, you will manage a talented team of data scientists and analysts, fostering innovation and collaboration to enhance our data capabilities.Key responsibilities include developing and implementing advanced analytical models, overseeing data collection and management processes, and collaborating with cross-functional teams to identify opportunities for leveraging data to enhance business outcomes. Your expertise will be crucial in guiding the company’s data strategy and ensuring alignment with our business objectives.

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

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.

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.

JOIN OUR TEAMWe are excited to announce an opening for a Data Product Manager in our Data Products team at FanDuel. This pivotal role is situated in a dynamic environment, working collaboratively with various teams and stakeholders across the organization to spearhead the development and improvement of our Data Science and Machine Learning products. You will be instrumental in enhancing our ML Platform, which encompasses experiment tracking, model lifecycle management, observability, and feature engineering capabilities. These tools empower our data scientists to efficiently build, deploy, and monitor models at scale. If you're ready to embrace this challenge and thrive in a vibrant company, we want to hear from you!YOUR ROLEEvery member of our team plays a vital part in our success.Own data products that provide key insights and influence future business strategies.Lead requirement gathering via user stories and acceptance criteria, prioritizing the product backlog to optimize program execution.Collaborate closely with cross-functional teams—data scientists, engineers, and business stakeholders—to ensure alignment of our platform with business goals and delivery of advanced ML solutions.Work in partnership with Data Science and Machine Learning Data Engineering teams to maximize value derived from data.Bring innovative ideas to address business challenges, leveraging your commercial acumen to create effective solutions.Collaborate with Engineering teams to define solutions and approaches.Develop and maintain user guides, technical documentation, and best practices for the Machine Learning platform, including tools for experiment tracking, model deployment, feature engineering, and observability.Monitor platform performance, model accuracy, and data quality, identifying and resolving issues to enhance platform efficiency.Serve as a catalyst for effective and sustainable change, guiding the organization through transformation.Contribute significantly to the PM community at FanDuel by sharing industry best practices and fostering a culture of knowledge exchange and cross-skilling.

Join our dynamic team at Further, where your passion for data can drive meaningful change! We are thrilled to announce an opening for a Data Science Analyst who is eager to leverage their expertise in an environment rich with growth opportunities. At Further, we specialize in transforming raw data into actionable insights utilizing cutting-edge cloud and AI technologies. Our award-winning culture is built upon a foundation of exceptional talent dedicated to fostering growth for both individuals and businesses. We believe that your work should not only be professionally satisfying but also contribute positively to the success of our clients. As a Data Science Analyst, you will not only report on performance metrics but also interpret complex data to facilitate informed decision-making, ensuring that our clients achieve tangible business outcomes.

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.

About UsAt Smarsh, we empower our clients to effectively manage risk and harness intelligence from their digital communications. With a robust community of over 6500 organizations operating in regulated sectors, we assist our clients in identifying compliance, legal, and reputational risks across more than 80 communication channels, helping them avoid costly regulatory penalties and adverse media coverage. Our commitment to relentless innovation has earned us consistent recognition as leaders by esteemed analysts such as Gartner and Forrester, and we are proud to be featured on the annual Inc. 5000 list of America’s fastest-growing companies since 2008.Position OverviewWe are seeking a Lead Data Scientist specializing in NLP and Financial Compliance to lead the development of cutting-edge natural language processing (NLP) and large language model (LLM) solutions that drive next-generation compliance and surveillance systems. In this role, you will tackle complex challenges at the nexus of NLP, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications can reveal instances of misconduct and risk.Your responsibilities will include collaborating with fellow Senior Data Scientists and mentoring Associate Data Scientists to analyze intricate datasets, derive actionable insights, and develop solutions across various tools and platforms. This position requires both technical proficiency in NLP modeling and a comprehensive understanding of financial domain behaviors, such as insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate will excel in performing independent and collaborative research, generating insights from extensive datasets, and proactively managing daily data requests and analyses.This role presents a unique opportunity to engage with various challenges and solutions related to deploying machine learning and analytics research into production. On any given day, you will be part of groundbreaking projects that shape the future of compliance technology.

Role Overview CRB is hiring an Electrical Engineer III for the Life Sciences division in Atlanta. This position focuses on designing and implementing electrical systems for biotechnology and pharmaceutical projects. The work involves close collaboration with professionals from other disciplines to solve technical challenges in the life sciences field.

Anduril Industries stands at the forefront of defense technology, dedicated to revolutionizing U.S. and allied military capabilities through state-of-the-art technology. Our innovative approach integrates the expertise and business models of the 21st century’s leading companies into the defense sector, fundamentally altering how military systems are conceived, constructed, and marketed. Our advanced systems are driven by Lattice OS, an AI-enhanced operating system that transforms vast data streams into a dynamic, real-time 3D command and control center. As global strategic competition intensifies, Anduril is resolute in delivering pioneering autonomy, AI, computer vision, sensor fusion, and networking technologies to military operations in a matter of months, not years.ABOUT THE TEAMThe Tactical Recon and Strike (TRS) team at Anduril specializes in developing small aerial drones (Group 1-3) alongside all necessary equipment for testing, deployment, and operation. Our team is instrumental in transforming concepts like Ghost, Anvil, Bolt, and Altius into actionable systems. We collaborate closely with specialized teams to tackle some of the most challenging problems faced by our clients. We seek passionate software engineers, hardware engineers, roboticists, and mobile developers eager to build a robust robotics platform that can be managed and monitored in real-time via various interfaces.The guidance, navigation, and control (GNC) team within TRS is tasked with the implementation, analysis, testing, and validation of GNC software solutions that support our autonomous drone fleet. This includes applications such as attitude and position control, waypoint guidance, and navigation in contested environments, including situations where communication and GPS signals are unavailable.ABOUT THE JOBThis position entails the responsibility for developing and validating guidance and control laws, conducting hardware and software in-the-loop testing and analysis, and creating cutting-edge navigation solutions for our diverse range of drones within TRS.What You’ll DoAerodynamic Design & Analysis:Conduct aerodynamic design for fixed-wing, rotary-wing, and hybrid VTOL platforms across conceptual, preliminary, and detailed design phases.Perform aerodynamic analysis of unmanned aerial vehicles using both low and high-order methods, while enhancing analysis tools as necessary.Execute comprehensive analyses to forecast and improve aerodynamic performance.Employ Computational Fluid Dynamics (CFD) tools and low-order methods for performance evaluation.Establish and sustain an in-house suite of aerodynamic analysis tools.

Chart Your Journey at SecretariatJoin a collaborative environment where your career can flourish alongside your ambitions. Make your mark at Secretariat. ABOUT THE FIRMAt Secretariat, our professionals are trusted advisors in critical legal, risk, and regulatory issues worldwide.When you become part of Secretariat, you join a dynamic team of innovative thinkers and dedicated problem-solvers. From day one, your talents will be put to use addressing complex challenges faced by leading law firms, corporations, and influential institutions that shape significant financial, economic, and strategic business decisions.Our globally integrated teams are driven by ambition, energy, and a commitment to excellence. We foster an open, collaborative culture that prioritizes ongoing professional growth, recognition, diversity, and above all, you.Make a difference at Secretariat.ABOUT OUR ENGINEERING SCIENCES TEAMAs part of our rapidly growing Global Engineering and Scientific Consulting team, you will tackle some of today’s most intricate engineering challenges. Your role will involve analyzing failures across various industries, with a primary focus on large-scale industrial facilities such as power plants, oil and gas operations, chemical processing plants, construction, and more. Additionally, your expertise will extend to automotive, consumer products, consumer electronics, and medical devices.Secretariat utilizes a wealth of technical knowledge and industry expertise to deliver exceptional client value, identifying solutions that enhance performance and safety.As a globally recognized expert services firm with over 500 professionals in more than 20 cities worldwide, Secretariat has been ranked as the leading firm in the Global Arbitration Review’s GAR 100 Expert Witness Firms’ Power Index, with more than 90% of our top experts acknowledged as leaders in their fields by independent Lexology rankings.RESPONSIBILITIESExceptional analytical skills, problem-solving abilities, communication proficiency, and creativity are paramount for success at Secretariat.Engage in hands-on failure analysis and contribute to innovative solutions.