Top Senior Machine Learning Jobs

The Senior Analyst in Predictive Analytics and Machine Learning develops and maintains statistical models to support business decisions, monitors model performance, and collaborates with stakeholders across the company.

Own end-to-end ML projects focused on recommendation and LTV signals: develop, evaluate, and deploy models; build training/scoring pipelines; run A/B tests; monitor production models; collaborate with product and analytics; mentor colleagues.

Lead a team of machine learning data scientists, overseeing model development for fraud detection and risk assessment, and ensuring quality throughout the model lifecycle while mentoring the team.

Design, build, and deploy scalable AI and machine learning solutions, leading full AI lifecycle, collaborating with teams, and ensuring systems align with client needs.

The Sr Engineer, AI/Machine Learning will design and develop AI and ML models for health monitoring devices, analyzing data and collaborating across teams to enhance product capabilities.

The Senior ML Engineer will design and build ML systems, optimize ML pipelines, implement RAG systems, collaborate with engineering teams, and contribute to ML infrastructure. Requires experience in shipping production ML systems and proficiency in modern ML tools.

The Staff Machine Learning Engineer will lead ML initiatives, develop AI systems, optimize pipelines, and mentor team members to automate healthcare processes.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

The ML Research Scientist will design Bayesian optimization frameworks, collaborate with lab scientists, and integrate ML models with experimental data.

The role involves designing de novo frameworks for molecular engineering, collaborating across teams to optimize data-driven biological experiments and integrating ML models with experimental systems.

The role involves designing, developing, and deploying machine learning models for healthcare solutions, optimizing data processing pipelines, and collaborating with cross-functional teams to enhance patient care.

The Senior Machine Learning Engineer will lead ML projects from ideation to production, focusing on ranking and recommendation systems and collaborating with cross-functional teams for robust AI solutions.

The Machine Learning Engineer will execute the full ML lifecycle, collaborating on model implementation and improving customer experiences through data-driven insights.

Responsible for developing and deploying AI/ML models to solve scientific and industrial challenges, collaborating with experts to drive business impact.

The role involves designing, training, and validating machine learning models for semantic mapping in autonomous vehicles, while collaborating with validation teams and ensuring coding best practices.

Develop machine learning solutions to enhance performance in wireless communication systems, utilizing signal processing and statistical modeling.

The Staff AI/ML Engineer will lead the development of AI systems for regulatory compliance, focusing on ML architecture, implementation, and oversight of model reliability.

The Senior Machine Learning Engineer will develop and enhance ML systems for content resolution and work on multimodal understanding involving music, video, and metadata. Responsibilities include leading ML pipeline evolution, experimentation for quality improvements, and mentoring team members.

The Senior Machine Learning Engineer will design and build scalable ML systems, mentor junior engineers, oversee ML model productionization, and ensure overall engineering best practices are followed.

The role involves leading machine learning initiatives to enhance automated testing for autonomous vehicles, improve model interpretability, and collaborate with cross-functional teams.

The Senior Machine Learning Engineer will manage the full ML lifecycle, collaborating with teams to develop scalable systems that improve product decisions and empower monetization strategies.

Lead the development and deployment of large-scale machine learning models, optimize model performance, and enhance collaboration across teams while mentoring junior engineers.

The Senior Machine Learning Engineer will develop and deploy models for 3D reconstruction from videos, integrate CAD, and work with cloud infrastructures to ensure clinical accuracy.

As a Senior Machine Learning Engineer, you will build machine learning models, define processes for AI, and ensure the security of AI systems while collaborating with government sponsors.

Design, build, and deploy machine learning solutions. Collaborate with teams to transform research into practical applications using large datasets.