Top Machine Learning Jobs

Senior AI/ML Engineer responsible for designing, building, and deploying AI/ML systems, mentoring teams, and leading cross-functional collaborations to drive AI solutions.

The Staff Software Engineer will build and scale machine learning systems for personalization, collaborating with teams to enhance project quality and performance.

The Engineering Manager will lead ML teams in developing and deploying machine learning models for self-driving systems, overseeing model training, iteration cycles, and production deployment while managing technical staff and collaborating with OEM customers.

As a Senior Software Engineer, you'll build AI features focused on LLMs and RAG systems, collaborating across teams to ensure robust performance.

Define ML strategy and build production ML systems end-to-end (data pipelines, training, evaluation, inference). Own data strategy, integrate ML with product/backend, write production-quality code, and recruit and mentor the ML team while setting technical direction.

Design, develop, and implement machine learning models and algorithms, build scalable ML pipelines, and deploy models into production to enhance services and improve customer experiences.

Lead the design, development, and implementation of machine learning models to solve complex problems, collaborating with cross-functional teams to enhance services and deploy solutions in production environments.

The job involves developing and optimizing machine learning models, overseeing model risk, and collaborating with teams on AI-related projects.

As a Machine Learning Engineer at Shipwell, you'll build and scale AI-powered logistics solutions, maintaining data pipelines and ML infrastructure across the organization.

Seeking a Senior Machine Learning Engineer to design and implement ML systems, optimize deployment, and collaborate with data teams, focusing on scalability and performance.

The role involves solving customer problems by building ML solutions, engaging with various stakeholders, and taking ownership of the outcome through deployment.

Seeking a Machine Learning Engineer to build models from idea to delivery, maintain production models, and develop system architecture while collaborating on data-driven strategies.

Lead the development of RL training frameworks and data processing pipelines for AV models, ensuring quality and scaling training workflows.

The Principal Machine Learning Engineer leads the deployment of multi-modal AI models on mobile platforms, setting technical vision and optimizing inference performance, while mentoring a team and collaborating cross-functionally.

The AI/ML Software Engineer will design, develop, and deploy AI/ML solutions for the Department of War and Intelligence Community, focusing on enhancing operational capabilities and decision-making processes.

As a Staff Machine Learning Engineer, you will lead architecture and technical strategy for ML systems, drive multi-functional projects, and mentor engineers while ensuring excellence in ML design and deployment.

As a Staff Machine Learning Engineer, lead technical strategy and architecture for ML systems, oversee multi-person projects, establish engineering standards, and mentor team members.

Lead technical strategy and architecture for machine learning systems, mentor engineers, and design scalable solutions for data mining and real-time inference.

As a Staff Machine Learning Engineer at Motional, you'll define ML systems' architecture, lead projects, mentor engineers, and drive technical strategy to optimize data discovery and model improvement for autonomous vehicles.

The Data Scientist - Machine Learning will deploy, optimize, and manage machine learning systems, ensuring they are production-ready and integrated into business operations through collaboration and infrastructure management.

Develop and optimize machine learning models to enhance Spotify's content recommendations and listening experiences using LLMs and data-driven techniques.

The Machine Learning Engineer will develop and maintain ML pipelines, collaborate with Data Scientists, and enhance existing ML infrastructure for US-specific use cases.

Lead the development and operationalization of machine learning systems at Taco Bell. Manage a team, optimize models, and ensure performance and reliability in real-time applications.

We're looking for a Research Engineer to develop ML infrastructure and data systems for medical imaging, focusing on building data pipelines and model deployment.

Design and deploy machine learning models for creating HD maps, utilizing advanced ML techniques and collaborating with other teams to deliver reliable solutions.