Top Machine Learning Jobs in Richmond, VA

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

Lead cross-functional Fund Finance projects, manage timelines, communicate with senior leadership, mitigate risks, and mentor junior team members.

The Machine Learning Engineer will develop and enhance ML-powered products focusing on models, metrics, pipelines, and collaboration with product teams.

As a Machine Learning Engineer, you will focus on user-behavioral modeling, collaborate with teams, and engage in data processing and model deployment.

As a Software Engineer at Yobi, you will enhance build systems, deployments, and ML integrations while working within product teams.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.

Develop machine learning driven products and tools for Firefox, lead design and integration of AI models, and mentor junior engineers.

Join Articul8 AI as an Applied AI Researcher to conduct research, design AI models, and advance generative AI capabilities. Collaborate with teams and publish findings.

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

As a Principal Product Designer & Product Manager, you will drive product creation, merging strategy and design while integrating AI tools to enhance workflows. You will lead user research, design processes, and cross-functional collaborations to meet business goals and improve user experiences.

Lead AI engineering initiatives to develop and implement innovative AI/ML solutions while enhancing software development processes across Owlet's products.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

As a Senior Product Manager, you will refine data architecture for SKU-level retail media, collaborate with engineering teams, ensure data quality, and lead product initiatives that drive revenue.

The role involves designing and implementing production-grade ML systems, developing generative AI models, and collaborating on technical solutions in a remote environment.

As a Junior AI/ML Engineer, you will work on delivering machine learning projects, gain hands-on experience, and receive mentorship from senior engineers. Responsibilities include working with various AI technologies and improving ML pipelines.

Lead the full-cycle recruitment for the Machine Learning team, develop sourcing strategies, and improve hiring processes while ensuring a positive candidate experience.

The Training & Education Specialist will design and deliver training programs for customers and internal teams, enhancing client adoption of Vividly's platform using modern tools including AI and automation.

Lead product strategy for core distribution products, manage product managers, drive user engagement, and collaborate across teams to optimize product-market fit.

As a Postdoctoral Researcher, develop and implement AI/Machine Learning radiology solutions, engage in collaborations, and analyze complex imaging data to enhance drug discovery in healthcare.

Seeking a senior product designer for AI/ML platform development, responsible for transforming user experiences, leading projects, and mentoring designers. Emphasis on design impact and collaboration with cross-functional teams.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Senior Machine Learning Engineer will design and implement ML solutions, collaborate with teams, and contribute to scalable infrastructure enhancements.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.