Top Machine Learning Engineer Jobs

The role involves shaping the CV strategy, building ML solutions in production, and integrating them with software systems, focusing on computer vision applications.

Develop and apply deep learning and data analysis techniques to create scalable vehicle simulation models, collaborating with teams to advance autonomous technology.

Design, implement, and scale web and data pipeline solutions focused on generative AI and LLMs. Improve AI/ML infrastructure for model development, training, deployment, and prompt engineering. Partner with product and stakeholders to prioritize applied AI use cases, ensure PHI security and regulatory compliance, mentor junior engineers, and contribute APIs and integrations to embed generative AI into healthcare applications.

Develop and optimize 3D graphics algorithms for sensor simulation, leveraging GenAI/ML techniques. Collaborate with various teams to enhance simulation realism and generate high fidelity data.

The role involves managing ML infrastructure, building scalable data pipelines, operating training frameworks, leading projects, and ensuring best DevOps practices for machine learning.

The Staff Software Engineer will lead ML infrastructure, architect systems for model training and deployment, and mentor engineers on best practices.

The role involves building data infrastructure for ML models, managing petabytes of camera data, and collaborating with cross-functional teams to enhance model quality.

Lead development and optimization of the compiler stack for ML systems, collaborate across teams, integrate and deploy products, map ML operations to hardware, and drive compiler infrastructure innovation and performance debugging.

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.

The Senior Machine Learning Engineer will build and own production ML systems, manage end-to-end workflow, debug issues, and mentor others.

The role involves developing and deploying machine learning models for forecasting within the Camus platform, requiring collaboration and technical depth in ML.

Design, develop, and deploy end-to-end AI/ML applications (RAG, chatbots, agentic workflows). Build scalable data pipelines, apply graph analytics, entity resolution, and NLP for risk scoring, anomaly detection, and investigative prioritization. Develop models, REST APIs, and deploy/manage solutions in AWS to support federal mission use cases.

Develop and implement online mapping models and algorithms for robotics, focusing on machine learning and data management within uncertain environments.

The Senior Software Engineer is responsible for designing, developing and maintaining AI-powered services, enhancing ML capabilities, and leading cross-functional teams in a collaborative environment to innovate and implement best practices in document intelligence.

Design and implement ML infrastructure for scalable deployment, collaborate across teams, optimize ML systems, and enhance tooling.

Develop machine learning models for multi-object tracking and road feature estimation, transitioning solutions from lab to production. Collaborate on algorithm design and maintain software best practices.

The Lead Machine Learning Engineer will design and implement data-driven solutions, provide technical leadership, and deploy machine learning systems for clients.

Lead Machine Learning Engineer at CapTech focuses on designing and deploying scalable machine learning systems and providing technical leadership.

Lead Machine Learning Engineers at CapTech design and implement data-driven solutions, build machine learning systems, mentor teams, and analyze large datasets.

The Machine Learning Engineer designs and implements data-driven solutions, optimizes ML systems, and collaborates with teams to meet client needs.

Lead Machine Learning Engineer at CapTech will design data-driven solutions, implement machine learning systems, and provide technical leadership. Responsibilities include collaborating with clients and teams, analyzing large datasets, and managing ML practices.

The Lead Machine Learning Engineer will design and deploy machine learning systems, lead technical strategies, and collaborate with teams to solve data-driven problems.

Design and implement data-driven machine learning solutions. Lead teams, strategize with clients, and optimize scalable ML systems for business needs.

The Lead Machine Learning/Data Science Engineer at CapTech designs and deploys machine learning solutions, providing technical leadership and collaborating with teams to meet client needs using large datasets and cloud platforms.

Responsible for designing and implementing scalable machine learning solutions, providing technical leadership, and collaborating with clients to meet business needs in data engineering.