Top Machine Learning Jobs in Baltimore, MD

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

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

The Product Tax Lead will manage tax requirements in product lifecycles, ensuring compliance and collaboration between Tax, Product, and Engineering teams.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

Lead the AI Platform team to design and develop multi-agent frameworks, harnessing AI technologies and ensuring compliance while collaborating across teams.

The Fraud & Safety Risk Manager develops and executes strategies to mitigate risks associated with fraud and safety. This role involves strategic thinking, operational oversight, and collaboration across teams to enhance user experience while managing risks.

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

The Staff Machine Learning Engineer will architect and scale ML pipelines for clinical decision-making, ensuring technical standards and global collaboration.

Design and deploy AI/ML systems, optimize deep learning models, and convert requirements into technical solutions while documenting work for stakeholders.

The Director, Project Management oversees multiple projects, ensures timely delivery, manages a team of project managers, and collaborates on business development and process governance.

The Head of Fintech Solution Consulting leads a team to drive product adoption and client success, collaborating across departments to enhance business performance.

The Product Manager will drive customer retention and engagement through strategy execution, cross-functional collaboration, customer insights, and AI integration to enhance Teachstone's educational offerings.

The role involves designing and building scalable messaging systems, providing technical leadership, and improving system observability, performance, and reliability.

The position involves building, training, fine-tuning, and evaluating advanced language models with an emphasis on natural language processing and full-stack development.

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

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 Account Executive will drive sales in the Federal (DoD) sector by identifying and closing new business, managing relationships, and overseeing the sales cycle, while ensuring compliance with federal procurement processes.

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.

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

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

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.

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.