Top Machine Learning Jobs in Richmond, VA

As the founding ML Engineering Manager, you'll develop and execute ML strategies, lead engineers, prototype LLM-powered features, and enhance engineering practices within a diverse team.

The Director of Data & Analytics will define and execute the data strategy, lead a team, and collaborate across departments to ensure data is a strategic advantage for the company.

Lead the Site Reliability Engineering team by mentoring engineers, setting strategic directions, improving system reliability, and driving SRE principles across the organization.

Equilibrium Energy seeks motivated individuals for various roles including Software Engineering, Data Science, Energy Trading, and Product Management. Candidates are invited to submit resumes and cover letters for future openings.

Lead the transformation of Clinical and Customer Operations at Hims & Hers by driving technology and AI strategy while managing teams, defining product vision, and ensuring alignment with business goals.

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.

Wealthsimple is seeking experienced Canadian leaders abroad in Engineering, Product & Design, Data & Machine Learning, Finance & Strategy, and Leadership roles to help build impactful financial tools in Canada.

Drive and execute the AI/ML strategy at 6sense, leading teams in data science and ML engineering to develop innovative AI-native products and solutions, while fostering partnerships and thought leadership in the industry.

The role includes developing B2B marketing strategies, collaborating with sales, creating targeted materials, and conducting market research to support growth.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.

The DeFi Researcher will lead client engagements, perform research on DeFi mechanisms, develop predictive models, and publish insights while managing a team to ensure client success.

Lead the vision and strategy for ML personalization, enhancing user experience through recommendation systems and data-driven insights; drive product outcomes and collaboration across teams.

Lead the implementation of AI-driven supply chain solutions, collaborating with clients to enhance their business processes and ensure seamless technology integration.

Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.

The R&D Intern will work on NLP projects, develop algorithms, write academic papers, and collaborate with researchers on novel solutions.

Responsible for developing product strategies, collaborating with cross-functional teams, conducting research for product opportunities, and ensuring shipment of product features quickly.

Lead strategic growth and sales efforts in enterprise SaaS for identity and fraud solutions across financial services verticals.

Drive enterprise sales growth across emerging verticals, manage full-cycle sales, and build relationships with C-level stakeholders at innovative companies.

As Government Affairs Manager, you'll drive advocacy strategy, engage with policymakers, and align internal teams on public policy issues affecting identity and technology.

The Principal Partner Marketing Manager will lead strategic co-marketing initiatives, develop joint marketing plans, execute integrated campaigns, enable field teams, and collaborate cross-functionally to drive awareness, demand, and revenue growth through partnership with Microsoft.

The Program Manager will oversee a large-scale social impact program, managing project timelines, deliverables, and collaborations with internal and external partners to drive impact and operational excellence.

Design, build, and improve ML and generative AI solutions for healthcare. Collaborate across teams, lead AI initiatives, and mentor junior members.

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.