Top Senior Machine Learning Jobs

The Machine Learning Engineer will design, build, and deploy ML models for data-driven products, collaborating with teams to optimize pipelines and improve performance.

Design, develop, and implement machine learning models and collaborate with teams to enhance services with AI/ML solutions.

As a Senior Machine Learning Engineer, you will build and operate scalable ML systems, oversee projects from inception to deployment, and improve system performance while collaborating with cross-functional teams and mentoring junior engineers.

As a Senior Machine Learning Engineer, you will design and operate scalable ML systems for real-time personalization, collaborating with teams and mentoring engineers.

The role involves leading ML strategy, architecting systems, designing algorithms, collaborating with teams, and mentoring engineers in AI for enterprise analytics.

As a Staff Machine Learning Engineer, you will enhance recommendation systems using ML, collaborate with teams, and refine reward signals for user satisfaction.

The AI/ML Engineer designs and deploys production AI applications, leads technical design of AI systems, and collaborates with cross-functional teams.

Design and implement machine learning models, analyze data, deploy ML solutions, and collaborate with teams to enhance products.

As a Senior Machine Learning Engineer, you will create scalable simulation scenarios for autonomous vehicle testing, integrating AI solutions and collaborating with stakeholders.

As a Senior ML Engineer, you'll own ML-driven features from modeling to deployment, drive innovation in generative AI, and mentor junior members.

The Staff Machine Learning Engineer will lead the development of advanced AI models, collaborate with teams, conduct research, and mentor junior engineers.

As a Senior ML Engineer at Torc, you will develop and maintain ML frameworks, enabling advanced solutions for autonomous vehicles and improving ML platforms.

As a Machine Learning Software Engineer, you will architect ML pipelines, collaborate cross-functionally, optimize systems, and mentor team members in Netflix's Promo Media and Marketing workflows.

The Staff Machine Learning Engineer will enhance Quora's recommendation systems, lead machine learning projects, and own end-to-end ML processes.

As a Senior Machine Learning Engineer, you'll design and implement large-scale ML systems to enhance ad relevance and performance, mentor engineers, and collaborate with cross-functional teams in Mandarin.

The Principal Machine Learning Engineer leads the design and development of advanced ML models, overseeing their lifecycle and collaborating with teams to optimize performance and ensure regulatory compliance.

The Senior Machine Learning Scientist will lead R&D in AI applications, focusing on LLM, CV, and GenAI technologies, collaborating with teams to develop and optimize innovative models and algorithms.

The Senior Machine Learning Scientist will develop LLM and CV models, mentor junior scientists, and advance AI technologies applicable to law enforcement.

The Machine Learning Engineer designs, builds, deploys, and maintains machine learning models, optimizing their performance for business value. Responsibilities include managing ML pipelines and collaborating with data teams to implement MLOps best practices.

Design and develop retrieval systems for AI workflows at Zoom, involving machine learning, information retrieval, and multi-tenant architecture. Collaborate with teams to enhance AI capabilities across enterprise data sources.

The role involves improving recommendation systems using machine learning, developing end-to-end ML systems, and collaborating with engineers.

The role involves designing, building, and scaling machine learning platforms to enhance user experiences through personalized content recommendations. Responsibilities include maintaining platform services and conducting online AB tests for optimization.

Lead research and development of advanced fraud detection ML models, experiment design, productionizing prototypes, and mentoring engineers.

The role involves developing machine learning algorithms, optimizing LLM deployments, and managing deployment pipelines while mentoring team members.

As a Senior Machine Learning Engineer, you will develop scalable infrastructure for distributed LLMs, optimize performance, and lead innovation in AI deployment while collaborating with cross-functional teams.