Top Machine Learning Engineer Jobs

Design and optimize pre-training pipelines for VLM models, conduct research on pre-training techniques, and evaluate performance for autonomous driving.

Interns will own ML platform projects to improve dataset creation, distributed training, and model evaluation pipelines. Tasks include profiling and benchmarking, enhancing observability, integrating MLOps tools, writing integration tests, and documenting and presenting results to improve reliability, scalability, and developer productivity.

The role involves designing ML models for autonomous driving, collaborating on stack requirements, and mentoring team members on high-quality code and ML practices.

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

The Research Engineer will design and implement improvements for member-facing algorithms, focusing on large language models and quality evaluation metrics, leading initiatives in applied research and product development.

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.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

The Software Engineer L5 will design, build, and maintain developer productivity tools for machine learning teams, requiring strong software engineering and design skills with a focus on large CI/CD systems.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

Research Engineer to develop efficient training and serving of large language models. Focus on engineering improvements for deep neural networks.

Develop and improve the Metaflow platform for machine learning applications, collaborating with researchers and ensuring high software design and reliability.

The Data Engineer will build and scale data systems and machine learning models, collaborate with team members, and enhance data pipelines and quality systems for Netflix's Knowledge Graph.

Design and implement CTR/CVR prediction models for ad ranking systems, ensuring high performance and accuracy while leading engineering projects and collaborating across teams.

Design and develop Bird’s Eye View fusion models for autonomous driving using multimodal sensor inputs like LiDAR, focusing on performance, robustness, and scalability.

The Senior Machine Learning Engineer will develop advanced NLP solutions, lead data science projects, and collaborate with teams, focusing on security and compliance standards.

The AI/ML Software Engineer will design, implement, and maintain AI features and ML models for Rocket Lawyer's platform, working closely with cross-functional teams.

The Research Engineer will analyze AI systems, develop AI training platforms, collaborate with teams, and enhance educational applications using generative AI.

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

The Data Engineer will modernize Business Intelligence capabilities, design data pipelines, deploy ML solutions, and collaborate across teams to improve data processes.

As a Senior ML Ops Engineer, partner with teams to build DevOps solutions, automate processes, integrate infrastructure, and drive quality improvements to enhance products and services.

As a Lead Machine Learning Engineer, you will develop and implement ML models, optimize data pipelines, and collaborate with cross-functional teams to enhance business solutions.

The Senior Machine Learning Engineer will lead applied research projects, design and implement ML models, maintain data pipelines, and mentor junior members for defense-focused missions.

The Software Engineer will develop and optimize LLM applications for conversational agents, working with ML teams to enhance user experience and system performance.

As a Staff Software Engineer on the Machine Learning team, you'll build scalable systems, integrate ML models, and oversee code quality and project mentorship.

Responsible for designing and implementing scalable ML software solutions for Search & Discovery, processing massive datasets, and optimizing ML pipelines for real-time applications.