Top Remote Senior Level Machine Learning Jobs in Richmond, VA

Lead the Machine Learning Platform team at Coinbase. Responsibilities include managing engineers, collaborating on roadmaps, coaching, and ensuring high system availability.

The Principal Machine Learning Engineer at Workiva leads ML initiatives, architects scalable systems, mentors teams, and drives the adoption of ML methodologies, while ensuring production readiness and sustainability.

Lead machine learning initiatives at Vetcove, designing, building, and deploying ML models to improve decision-making in veterinary practices. Collaborate with teams to integrate models and establish best practices, while mentoring peers and enhancing real-world outcomes.

Drive cross-team engineering efforts to improve user experience on Homefeed by implementing large-scale machine learning systems and enhancing data processing efficiency.

Lead the design and deployment of machine learning models for personalized healthcare, mentor engineers, and collaborate across teams to improve ML infrastructure.

Lead a team of ML engineers and software engineers focused on Ads Content Understanding, driving innovation and efficiency in Ads Monetization.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

As a Senior Machine Learning Engineer, you will design, build, and deploy ML systems at scale, collaborating closely with teams to optimize ticket pricing, demand forecasting, and fraud detection while maintaining high standards in software development.

As a Senior Applied Machine Learning Engineer at Upwork, you'll leverage advanced machine learning techniques to enhance search and recommendation systems, analyze data to improve user experience, and develop large language models.

As a ML Optimization Engineer, you will optimize and deploy CV algorithms on edge devices, ensuring performance and cost-effectiveness while collaborating with teams.