Top Remote Machine Learning Jobs in Richmond, VA

The Lead Machine Learning Engineer will develop scalable ML systems for optimizing advertising performance, collaborating with global teams and applying advanced ML techniques.

Build and optimize recommendation systems, deploy ML models for personalization, enhance data pipelines, and run A/B tests to drive business growth.

The Senior Machine Learning Engineer will develop and deploy ML models for personalizing user experiences and optimizing content discovery, driving significant revenue growth.

The Lead ML Engineer will design and deploy complex ML systems to optimize ad performance, working with global teams to enhance user engagement and drive revenue.

Lead the design, deployment, and scaling of machine learning systems for real-time user recommendations, improving engagement and revenue at scale.

As a Machine Learning Engineer, you will design, build, and optimize ML models for ad ranking, bidding, and measurements, ensuring effectiveness across Reddit's advertising solutions.

Lead the architecture and development of Reddit's ML Feature Platform, overseeing real-time feature store design, team mentorship, and infrastructure optimization.

As a Senior Machine Learning Engineer, you will design, implement, and optimize ML models for ad ranking and bidding, driving value for Reddit's advertisers.

As a Software Engineer for ML Feature Platform at Reddit, you'll architect and maintain infrastructure for ML features affecting user engagement. Responsibilities include working with large-scale systems, coding in Python, Scala, and Golang, and utilizing Kubernetes and big data technologies.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.

The Lead Product Manager will define and execute product strategy for Machine Learning at ClassPass, collaborating with teams to enhance business through ML applications. Responsibilities include managing product roadmap, analyzing data products, and coordinating with cross-functional teams for successful rollouts.

Lead the development of the Wildfire Fuel Detection Model using ML techniques and geospatial data, collaborating with teams to ensure accuracy and robustness. Mentor engineers and drive architectural decisions.

As a Staff Machine Learning Engineer, you will design ML systems for location analysis, collaborate with teams to integrate ML into products, and mentor others while ensuring optimal system performance and reliability.

Lead machine learning platform strategy, scale ML infrastructure, mentor engineers, and drive cross-functional initiatives to enhance product features.

Lead computer vision projects and develop ML models for power grid analysis while mentoring engineers and ensuring software quality standards.

As a Machine Learning Engineer, you will lead end-to-end ML projects, integrate solutions, and collaborate with cross-functional teams to drive data science solutions that align with business objectives.

As a Senior Staff Machine Learning Engineer, drive AI safety initiatives, design monitoring systems, and collaborate cross-functionally to ensure robust, safe AI usage in community support products.

As a Machine Learning Engineer, you will design, develop, and deploy machine learning systems, collaborate on AI features, and ensure reliable production performance.

The Director drives the predictive modeling strategy, mentors others, leads initiatives, and advises on data strategy and innovation in credit risk and collections.

The role leads predictive modeling and machine learning initiatives, mentors team members, and drives innovations in data science for credit risk and operations.

Lead a team of ML engineers to deliver AI/ML solutions on AWS, focusing on practice strategy, operational excellence, and building partnerships.

As a Cloud Machine Learning Engineer at Hugging Face, you will build ML solutions leveraging cloud technologies, integrate models, design APIs, and contribute to documentation and community advocacy.

Develop, optimize, and deploy ML solutions to improve content strategy and performance at Netflix, collaborating with teams across analytics and engineering.

Machine Learning Systems Engineers will develop end-to-end 3D machine learning systems, optimize training pipelines, and improve model performance within a collaborative team.

Lead the design and execution of ML-based targeting products, improving advertiser outcomes while mentoring junior engineers and collaborating with cross-functional partners.