Top Machine Learning Jobs

Develop and implement cutting-edge machine learning models for vision, audio, and text processing to enhance home security products. Collaborate with stakeholders and integrate advanced capabilities into existing systems.

As a Machine Learning Engineer Intern, you'll tackle challenges in ML including training models, optimizing inference on GPU, and documenting findings.

As a Senior Data Scientist/Machine Learning Engineer, you'll develop and deploy machine learning solutions, engage with clients, and optimize data processes.

Pioneering machine learning solutions for the defense sector, developing and deploying production-grade ML models, tackling complex data challenges, and collaborating with engineers.

As a Machine Learning Intern, you'll develop models, manage projects end-to-end, and collaborate with customers to improve AI solutions.

Collaborate on designing recommendation systems, develop ML models, build infrastructure for deployment, conduct A/B tests, and ensure system reliability.

The Machine Learning Engineer will prototype and evaluate LLM features, collaborate with teams, contribute to technical design, and measure success metrics.

The Senior Engineer in AI & ML will design and productionalize machine learning models, collaborating with Data Scientists to implement scalable solutions and enhance customer experiences at CarMax.

The role involves developing efficient end-to-end driving models, collaborating with teams on infrastructure work, and improving system performance in machine learning applications.

Lead team efforts in developing machine learning evaluation metrics and algorithms, enhance generative models, and ensure project alignment across multiple teams.

Develop and deploy machine learning systems, engage in the design and training of models, collaborate across teams, and learn new technologies.

As a PhD Machine Learning Engineer Intern, you'll develop and deploy machine learning systems, collaborate across teams, and enhance Stripe's financial products.

As a Senior Machine Learning Engineer, you will develop and optimize AI-powered features, enhancing insights from diverse data types using advanced ML and NLP techniques.

The intern will work on machine learning for perception in autonomous driving, developing models, collaborating with teams, and presenting results.

The Machine Learning Intern will enhance the autolabeling pipeline by integrating ML components, preparing datasets, and collaborating with engineers on innovative projects.

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.

Lead the architecture, development, and deployment of machine learning systems. Collaborate with teams to integrate models into products and drive the technical roadmap for core ML infrastructure.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

The Senior Machine Learning Engineer will design and maintain ML solutions for fraud detection, collaborating across teams and establishing MLOps best practices.

As a Machine Learning Engineer, you'll design and implement predictive analytics systems, optimize modeling processes, and maintain production systems while collaborating with teams.

The Lead Machine Learning Engineer will design and develop ML evaluation systems, translate research to production, and mentor engineers. They must engage with various teams and stay updated on ML advancements.

The Machine Learning Engineer will lead the ML lifecycle, deploy deep learning models, enhance model reliability, and mentor team members while collaborating with domain experts.

Develop and productionize ML models for assessing autonomous vehicle behavior, build ML infrastructure, and collaborate across teams for deployment.

The Senior Software Engineer will evaluate and launch machine learning models for mapping, build backend infrastructure, and manage data processing on a large scale.

Lead a team of machine learning engineers to improve infrastructure efficiency through ML and optimization algorithms at Databricks.