Top Machine Learning Jobs in Richmond, VA

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

In this role, you will design and build a platform for large-scale machine learning model training and optimize its operations. You'll create APIs for both ML practitioners and non-experts, focusing on enhancing cost-effectiveness and reliability in machine learning applications.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Research, develop, and productize Multilingual Live Caption and Translation models while collaborating with a cross-functional team to enhance localization.

Lead a team to build big data pipelines using distributed computing tools, collaborate with cross-functional teams, and drive technical and business priorities.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

As a Senior Data Scientist, you will leverage machine learning and statistical techniques to solve complex business problems and drive product innovations. You will collaborate with cross-functional teams and analyze data to help shape product strategies and decisions.

The AI/ML Principal Engineer leads technical projects, supports product strategy, and manages complex engineering issues while mentoring staff and contributing to business strategies.

The SIGINT Systems Engineer will guide SIGINT programs through Agile practices, Cloud migration, and automation, focusing on systems engineering and integration.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

The Solutions Engineer will provide technical support for customers, ensure satisfaction, communicate with sales, and analyze customer needs for product enhancements.

As the Engineering Lead, you will guide product strategy, manage and mentor engineers, and ensure successful execution in product areas, focusing on machine learning and technical expertise across teams.

The Product Manager will lead product development, working with cross-functional teams, driving growth, and creating user experience frameworks.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

The Business Strategy Director will explore new business opportunities, lead transformational projects, and enhance organizational effectiveness while collaborating with senior leadership.

Design tailored AI solutions for supply chain resilience, lead proof of concepts, provide technical advisory support, and enable teams through training.

The Senior AI Research Engineer will develop AI-based solutions for cybersecurity, applying machine learning technologies to protect data and solve real-world problems within a collaborative team environment.

Hypergiant seeks experienced engineering professionals for future opportunities in software development, systems engineering, and data science, requiring active U.S. national security clearance.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.

Assist in designing, implementing, and evaluating AI/ML models for cyber projects, developing prototypes, and automating analysis tools within a multidisciplinary team.

The ML Ops Engineer will enhance ML infrastructure by productionizing models, implementing CI/CD, ensuring observability, and collaborating with data scientists to improve ML workflows.

The Machine Learning Engineer will build and optimize internal tools, frameworks, and performance measurement systems, collaborating with Data Science to enhance model deployment in a dynamic environment.

The Machine Learning Consultant will structure, enrich, and connect data for Suzy's AI-driven applications, design frameworks, and implement systems for efficient data retrieval and processing.