Machine Learning Jobs

This full-time Data Scientist Level 3 role supports a Department of Defense client in Suitland, Maryland, within a high-performing science team. The position focuses on applying advanced machine learning, deep learning, and natural language processing to build sophisticated data models. Key responsibilities include leading and mentoring junior data scientists, deploying projects on cloud platforms like AWS and Azure, and establishing metrics to evaluate AI performance while adhering to responsible AI policies. The role offers up to 10% local travel and requires a TS/SCI clearance. It is appealing due to CACI's culture of integrity and trust, which provides autonomy through flexible time off and robust learning resources. The position emphasizes continuous career growth and the opportunity to contribute to critical national missions alongside a collaborative, mission-driven environment.

The Associate Director, in vitro Pharmacology role leads target validation efforts for Deep Genomics' RNA editing therapeutic pipeline within a multidisciplinary AI-driven drug discovery team. Key responsibilities include designing and executing liver biology studies, serving as the senior subject matter expert for in vitro models, and collaborating with Target Identification to translate AI nominations into go/no-go decisions. This leadership position involves mentoring scientists and presenting data-driven strategies to advance the therapeutic portfolio. The role is appealing due to its position at the frontier of computational biology and genetic medicine, offering a collaborative culture with flexible work arrangements, significant growth opportunities, and locations in Toronto and Cambridge, MA.

This senior AI and data science role at Cargill leads the end-to-end development of artificial intelligence models to optimize supply chain decision-making. The position involves extracting and integrating complex data, performing advanced forecasting and optimization, and deploying machine learning solutions into core business workflows. Key responsibilities include ensuring model accuracy, establishing engineering patterns for generative AI, and communicating technical results to diverse stakeholders. The role appeals to candidates seeking to drive measurable business impact within a global organization committed to sustainable food and agricultural solutions. It offers the opportunity to work with expansive data sources while collaborating across cross-functional teams to operationalize data science. The position is based in Minnesota and supports a culture that prioritizes people and continuous learning.

This Data Scientist role at ManTech supports critical national security missions for the U.S. intelligence community and federal agencies. The position involves developing predictive models and algorithms to drive data-driven decisions while cleaning, validating, and interpreting complex structured and unstructured datasets. Key responsibilities include collaborating with cross-functional teams to define analytics strategies and communicating technical findings to non-technical stakeholders. The role appeals to candidates seeking to contribute to national security through advanced AI and machine learning work. It offers a collaborative environment with opportunities for professional growth and certification, requiring proficiency in Python, R, and SQL. A security clearance is preferred due to the sensitive nature of the work.

This entry-level R&D Software Engineer role focuses on VLSI physical design within NVIDIA's hardware innovation team. The position involves developing advanced C++ algorithms to optimize chip performance, power consumption, and frequency through techniques like gate-level sizing, buffering, and incremental place and route. Key responsibilities include inventing new optimization engines that fuse independent design tools and collaborating directly with design teams to deploy solutions. The role is appealing due to the high intellectual freedom to explore cutting-edge processes without legacy constraints, the opportunity to work at the intersection of machine learning and hardware, and the chance to see software contributions directly realized in world-class AI hardware. The position is based on-site and targets recent graduates with a Master's or PhD in Electrical Engineering or Computer Science.

This hybrid AI Project and Delivery Manager role, based in Nashville, focuses on leading the planning and execution of artificial intelligence and machine learning initiatives across the enterprise. The position bridges technical implementation and business impact by overseeing the full project lifecycle, from business case development to deployment. Key responsibilities include managing agile delivery processes, coordinating cross-functional teams of data scientists and engineers, and translating complex technical concepts into clear business value for executives. The role also involves mitigating delivery risks, managing third-party AI vendors, and establishing metrics to track model adoption and ROI. This opportunity appeals to professionals seeking to drive strategic AI transformation within a collaborative environment that values clear communication and operational excellence.

This senior network engineering role supports a federal government client in Huntsville, Alabama, focusing on secure, multi-enclave enterprise networks. The position involves designing complex network solutions, gathering technical requirements, and providing Tier 3 support to resolve advanced LAN and WAN issues. Key responsibilities include maintaining Cisco routing platforms, conducting feasibility analyses, and driving process improvements for national security missions. The role appeals to professionals seeking to contribute to critical government operations within a collaborative culture that values innovation and excellence. It offers comprehensive benefits, professional development opportunities, and flexible work arrangements while requiring an active Top Secret clearance and U.S. citizenship.

The Talent Development Consulting Manager role within the Talent and Organization team focuses on co-creating future-ready workforces for diverse clients. Key responsibilities include developing holistic talent transformation strategies, integrating AI and emerging technologies into human-centric solutions, and driving change initiatives to sustain workforce innovations. The position also involves shaping skilling approaches and supporting business development efforts. This opportunity appeals to experienced strategists seeking to lead workforce evolution in a collaborative environment that values digital fluency and forward-thinking leadership. The role requires travel as needed and offers a dynamic setting to influence talent strategy, learning, and employee experience across industries.

The Director, Digital & AI Consumer Engineering role leads engineering teams within Ford Motor Credit to develop AI-powered financial platforms and e-commerce solutions. Key responsibilities include architecting scalable, secure systems for high-volume transactions, driving the adoption of cloud-native architectures and microservices, and mentoring a diverse group of 25 to 35 engineers. The position emphasizes strategic partnership with executive leadership to align technical roadmaps with business goals. This opportunity appeals to candidates seeking to shape the future of mobility through innovative technology in a collaborative culture. The role offers a hybrid work arrangement requiring onsite presence at a Ford hub location four or more days per week, alongside access to comprehensive benefits and professional growth resources.

The Data Center Site Selection Manager role leads acquisition and lease contracting negotiations for Meta's global data center infrastructure. Key responsibilities include performing technical due diligence to validate site viability, managing supplier relationships, and developing strategic leasing plans based on market analysis. The position requires collaborating with legal, finance, and engineering teams to navigate complex lease structures and regulatory environments. This opportunity appeals to professionals seeking to shape organizational strategy while integrating AI tools to optimize workflows. The role offers a dynamic environment focused on efficiency and innovation, with a work arrangement that includes domestic travel ranging from 10 to 25 percent.

This full-time software engineering role supports NASA's Aeronautics and Exploration Technology directorates at the Ames Research Center, focusing on the Advanced Methods project. The position involves developing natural language processing capabilities and fine-tuning large language models to extract structured data from aviation documents and speech for the National Airspace System. Key responsibilities include automating the digitization of airspace constraints, creating NLU models for operational information, and presenting technical innovations at peer-reviewed conferences. The role offers the appeal of working on high-impact federal missions that enhance national safety and efficiency within a collaborative culture that values innovation and professional growth. While the position is based in Mountain View, California, remote or hybrid work arrangements may be available depending on project requirements.

This Software Engineer role supports NASA's Aeronautics and Exploration Technology directorates at the Ames Research Center, focusing on the Advanced Methods project to modernize the National Airspace System. Key responsibilities include developing natural language processing models and fine-tuning large language models to extract structured data from aviation documents, automating the digitization of airspace constraints, and presenting technical innovations at peer-reviewed conferences. The position appeals to professionals seeking to solve complex, high-impact challenges within a collaborative culture that values scientific excellence and mission-driven work. The role offers opportunities for technical leadership, mentorship, and professional growth while working with cutting-edge AI technologies. While the position is based in Mountain View, California, remote or hybrid work arrangements may be available depending on project requirements.

This Senior Manager role within PwC's Data and Analytics Engineering team focuses on leading the development of innovative AI and machine learning solutions specifically for health systems. The position involves designing and implementing advanced algorithms, building RAG pipelines, and managing model governance in regulated environments to transform clinical data into actionable insights. Key responsibilities include serving as a strategic advisor to clients, fostering high-performing diverse teams, and navigating complex healthcare challenges to drive operational excellence. The opportunity is appealing for its focus on cutting-edge generative AI applications in healthcare, offering significant professional growth through continuous learning and the chance to shape industry standards. The role requires up to 80% travel and operates within a hybrid work arrangement.

The Manager, Data Science – Agentic AI role leads the design and delivery of autonomous AI solutions within the Content Agentic Platform at LexisNexis Legal & Professional. The position involves managing technical teams to develop advanced agentic technologies, collaborating with cross-functional groups to align AI strategies with business goals, and mentoring junior data scientists on best practices. Key responsibilities include analyzing large datasets, establishing governance frameworks for model development, and translating complex technical concepts for stakeholders. This opportunity appeals to professionals seeking to shape ethical AI in the legal market while driving innovation in large language models and machine learning. The role offers a chance to work with a global team of technologists in a culture that prioritizes responsible AI principles and professional growth.

The Data Scientist II role at JPL focuses on developing artificial intelligence and autonomous systems for critical space missions. The position involves creating planning and scheduling algorithms for spacecraft, designing optimization systems for resource allocation, and building machine learning models to interpret remote sensing imagery. This opportunity appeals to candidates driven by scientific discovery and innovation within a collaborative, campus-like environment in Pasadena. The team works on high-impact projects that support real-time decision-making for various NASA missions. The role offers a flexible schedule and a comprehensive benefits package designed to support work-life balance and professional growth.

This entry-level opportunity targets recent graduates and career switchers seeking roles as Java microservices developers, data analysts, or data scientists. The position involves building scalable microservices, analyzing complex datasets, and developing machine learning models for U.S.-based employers. The role is appealing due to its focus on placing candidates in full-time positions with major tech and finance leaders rather than outsourcing. It offers a pathway for professionals with limited experience to launch careers in high-demand technical stacks. The arrangement supports various visa statuses and provides end-to-end placement assistance to connect talent with active hiring companies.

The Manager, IT Data role leads the Information Technology Team within the Information Technology Division at American Airlines. The position focuses on designing, implementing, and managing a cloud-based enterprise data analytics ecosystem, including data delivery, storage, and machine learning initiatives. Key responsibilities involve leading a team of data engineers to build scalable data pipelines, developing enterprise data strategies, and collaborating with cross-functional leaders to ensure secure and resilient data solutions. The role offers the appeal of working with emerging cloud technologies within a global aviation leader, providing opportunities for professional growth and mentorship. Employees benefit from extensive travel perks, comprehensive health and wellness programs, and a culture that prioritizes inclusion and diversity.

The VP, Credit Model Development role leads the design and innovation of risk models for Synchrony's Credit Account Management division. Key responsibilities include managing the full model development lifecycle, leveraging machine learning and AI for fraud detection and customer profiling, and overseeing model validation, monitoring, and regulatory compliance. This position appeals to candidates seeking to drive technical strategy in a high-impact environment while utilizing advanced tools like Python, AWS, and GenAI. The role offers a hybrid work arrangement with flexibility to work from home near a hub or in an office, supported by an inclusive culture that values diverse perspectives and professional growth.

This entry-level position is part of SynergisticIT's Job Placement Program, designed to bridge the gap between academic training and real-world hiring expectations for data analysts and engineers. The role involves providing interview-focused coaching and technical training to recent graduates and career changers, emphasizing hands-on project development and end-to-end system design skills. Key responsibilities include preparing candidates for technical rounds through practical exercises in data structures, API design, and cloud deployment while offering support for visa processing and resume optimization. The opportunity is appealing for its targeted approach to transforming candidates from 'almost hired' to offer-ready, leveraging a track record of placing professionals with major technology and finance firms. The program operates remotely with a focus on high-demand technology stacks including Python, Java, and machine learning.

This role is an entry-level position within SynergisticIT's Job Placement Program, designed to bridge the gap between academic training and real-world hiring expectations for Java microservices and data science candidates. The program focuses on developing hands-on experience through end-to-end project work, covering system design, API development, and cloud deployment to prepare candidates for technical interviews. It appeals to recent graduates and professionals seeking to overcome interview barriers by providing structured coaching on problem-solving and project narratives. The opportunity offers a pathway to employment with major technology and finance firms, featuring support for career transitions and potential visa processing assistance.

This role is a junior-level position within the Data Science and Engineering track at SynergisticIT, designed to bridge the gap between academic learning and real-world hiring expectations. The position focuses on developing hands-on experience through end-to-end project work, including API design, system architecture, and cloud deployment, while preparing candidates for technical interviews. It appeals to recent graduates and professionals seeking to refine their problem-solving skills and master current technology stacks. The opportunity offers a structured path to employment with top-tier companies and includes support for career advancement and visa processing where applicable. The work arrangement is remote.

This entry-level position targets Java microservices development and data engineering roles within the technology sector. The role focuses on bridging the gap between academic training and industry expectations by providing hands-on experience with modern tech stacks, including API design, backend architecture, and cloud deployment. Key responsibilities involve developing end-to-end solutions, mastering system design fundamentals, and preparing candidates for technical interviews at major employers. The opportunity is appealing due to its structured approach to career advancement, offering mentorship that transforms theoretical knowledge into job-ready skills. The program supports recent graduates and professionals returning to the workforce, with a focus on high-demand tracks like Java, Python, and data science. While the specific work arrangement is not detailed, the program emphasizes real-world project narratives and interview readiness to secure offers from top-tier companies.