Top Machine Learning Jobs in Richmond, VA

The Senior Forward-Deployed Engineer will build and maintain software solutions, integrate systems, debug issues, and participate in customer success initiatives while collaborating with engineering teams.

The Quantitative Analyst will analyze models and model risk practices, applying statistical and machine learning methods while collaborating with cross-functional teams to enhance business strategies and performance.

The Senior Product Manager will develop risk management strategies, build scalable solutions, manage product roadmaps, and ensure compliance with financial regulations, while leading cross-functional teams.

As a Staff Machine Learning Engineer, you'll define technical strategies, design ML models, implement real-time ML pipelines, and deploy systems at scale to enhance Coinbase's operations and user protection.

Drive transformation in fraud management at Capital One by leveraging technology, leading cross-functional teams, and focusing on customer-oriented product solutions.

As a Director of Financial Risk Management, you will oversee risk analytics, lead AI initiatives, manage risk frameworks, and ensure regulatory compliance while mentoring teams and collaborating across departments.

Lead the development of Computer Vision and Machine Learning projects at Dandy, focusing on 3D geometric problems and automation in dental manufacturing.

The Senior Software Engineer will design and build innovative software products, tackle complex problems across multiple systems, and work closely with various teams to enhance customer outcomes in physical operations.

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

Lead the product strategy for the Data and AI Platform, focusing on customer-oriented AI features, roadmap execution, and collaboration across teams to enhance identity security solutions.

As a Software Engineer at Upstart, you will develop scalable APIs for data retrieval and decisioning while collaborating with teams to enhance ML models' performance, ensuring data quality and reliability through testing.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

Manage and lead a team of Analysts, focusing on marketing measurement, optimizations, and utilizing machine learning to enhance campaign performance for clients.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

The Principal Quantitative Analyst will apply quantitative analysis, machine learning, and statistical modeling to analyze risk, build data-driven solutions, and communicate insights across teams.

As a Machine Learning Security Researcher, you will conduct research on security for machine learning systems, develop security frameworks, and engage with AI organizations to assess and improve their security posture.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

As a Senior Staff Engineer at Samsara, you will define technical strategies, lead system designs, influence engineering standards, and mentor staff engineers to build AI and ML based solutions that enhance driver safety in physical operations.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

Lead and grow a data science team to optimize customer service operations through advanced analytics, modeling, and real-time insights. Collaborate across departments to improve user experiences and drive measurable business impact.

Lead technical programs focused on AI/ML products at Capital One, ensuring robust platform development and execution across teams. Drive team growth and promote the TPM discipline while managing complex programs and mitigating risks.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

Lead strategy for growth data platform and personalization systems. Collaborate with teams to optimize customer experiences and drive product engagement.