Top Machine Learning Engineer Jobs

The Machine Learning Engineer will design and implement scalable machine learning solutions while collaborating with clients and cross-functional teams. Responsibilities include analyzing datasets, developing analytical solutions, and growing CapTech's practices.

The Machine Learning Engineer designs and implements scalable machine learning systems, collaborates with cross-functional teams, analyzes large datasets, and develops data-driven solutions for clients.

Lead the design and implementation of machine learning solutions, providing technical leadership and mentoring in developing scalable systems for clients.

The Lead Machine Learning Engineer will design and implement scalable machine learning solutions, lead teams, and analyze large datasets using cloud technologies.

CapTech seeks a Machine Learning Engineer to design and implement scalable ML systems, analyze large datasets, and collaborate with cross-functional teams for data-driven solutions.

The Machine Learning Engineer will design and implement scalable ML systems, analyze large datasets, and collaborate with teams to meet client needs.

Lead Machine Learning Engineer is responsible for designing and implementing data-driven solutions, optimizing and deploying machine learning systems, and mentoring junior staff while working collaboratively across teams.

The Lead Machine Learning Engineer will design, implement, and optimize machine learning solutions while providing technical leadership and mentoring to junior staff. Responsibilities include managing large datasets, developing data-driven solutions, and collaborating with clients to align ML systems with business needs.

The Lead Machine Learning Engineer at CapTech designs and implements scalable machine learning systems, collaborates with teams, and provides technical leadership while optimizing enterprise data-driven solutions.

The Machine Learning Engineer designs and implements scalable solutions for clients, analyzing datasets, productionizing ML systems, and leading teams.

Lead Machine Learning Engineers at CapTech design and implement data-driven solutions, focusing on scalable systems, client collaboration, technical leadership, and mentoring.

The Machine Learning Engineer designs and implements data-driven solutions, develops scalable ML systems, analyzes datasets, and leads client collaborations.

Develop ML-first behavior modules for predicting future motions of road users. Collaborate with perception and planning teams to enhance autonomous systems.

Design and implement distributed cloud GPU training for ML, build end-to-end pipelines, collaborate on data problems, and uphold ML best practices.

The ML Perception Software Engineer will develop perception modules for autonomous vehicles, focusing on machine learning and computer vision to enhance navigation capabilities.

The Senior Machine Learning Engineer will develop NLP applications, build models, optimize data processes, and integrate advanced algorithms into production systems.

This role involves designing budget pacing systems, integrating Generative AI for creative assets, and building a marketplace experimentation engine, ensuring high accuracy in billing pipelines while mentoring senior engineers.

The role involves architecting GenAI systems, designing budgeting algorithms, and building infrastructure for experimentation in advertising technology.

The role involves designing and maintaining ML infrastructure, building serving pipelines, collaborating with ML engineers, and enhancing system performance for Unity's advertising platform.

Design and operate backend services for large-scale ML inference systems, ensuring performance and reliability at billions of requests daily.

The Senior Machine Learning Infrastructure Engineer will design and maintain infrastructure for ML model serving, ensure systems run reliably, and collaborate with teams to optimize performance and cost-efficiency.

As a Senior Machine Learning Infrastructure Engineer, you'll design and maintain the infrastructure for ML models, ensuring reliable performance and optimizing serving pipelines in a high-scale environment.

The job involves building responsive web dashboards, advanced data visualizations, and analytics tools for unmanned aircraft systems, requiring a deep understanding of UI/UX design and data presentation.

The Software Engineer II, Machine Learning will productionize ML models, build tools for ML democratization, and maintain current platforms.

The Senior ML Software Engineer will create and improve capabilities for mapping data using machine learning, collaborating with engineers and data scientists, developing models, and writing production code.