Top Machine Learning Jobs in Baltimore, MD

Lead the development of a robotics data platform, focusing on data enablement, API architecture, and mentoring engineers in complex system designs.

Lead the strategy and execution of AI and data products, focusing on sales and marketing initiatives while partnering with business teams to define and deliver impactful solutions across operational systems.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

Lead the development of AI-enabled tools that enhance educator interactions, managing product strategy, system development, and ensuring ethical AI use.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

Lead TELUS Digital's Google CES initiatives, managing team performance, delivering AI-powered customer engagement solutions, and ensuring client satisfaction while driving innovation.

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

This role involves identifying partnership opportunities within the AI ecosystem, developing strategies, negotiating agreements, and measuring pilot success metrics. You will work closely with product and engineering teams to align partnerships with growth priorities.

Intern Business Analyst on the Customer Success team: run client discovery, analyze requirements, define KPIs, develop business cases, recommend loyalty strategies, oversee GRAVTY implementation, create training and marketing collateral, manage documentation, and support product and go-to-market activities.

The Senior Product Manager will lead AI integration into products, collaborating cross-functionally to enhance user experiences, driving innovation and measurable impact for financial advisors.

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.

The Research Scientist at Yahoo will design machine learning solutions, analyze data, and collaborate with engineering teams to implement research results.

Develop and deploy production-grade AI/ML models, design end-to-end pipelines, and ensure compliance while collaborating with stakeholders in a federal environment.

The AI/ML Engineer develops models for skills inference and verification, creates recommendation systems, and integrates AI into Cengage's platforms to enhance career outcomes.

The Senior Customer Success Manager drives revenue growth by ensuring customer satisfaction, building strong relationships, managing renewals, and promoting product solutions aligned with client goals.

Manage and evolve content policies for AI systems, ensuring user safety and creative expression while adapting to cultural shifts and technological changes.

Design and build backend systems and APIs for AI-driven products, ensuring scalability, reliability, and integration of ML models while collaborating with engineering and product teams.

As an Associate Technical Architect in Machine Learning, you will design and develop advanced ML models on AWS, ensuring scalability and reliability while collaborating with cross-functional teams.

Lead a team of data scientists developing ML-driven products, managing infrastructure, training models, and ensuring production quality while collaborating with senior leadership.

The AI/ML Engineering Manager leads a team of ML engineers and architects, managing hiring, performance, and customer engagements while providing technical guidance in ML operations and architecture.

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

Lead the development of deep learning models for email data, optimize models, design evaluation frameworks, integrate products, and mentor junior researchers.

The ML Administrator will manage machine learning model governance, optimize ML infrastructure, and validate AI/ML pipelines to support DoD projects.