Top Senior Machine Learning Jobs

Lead Machine Learning Engineer responsible for implementing data-driven solutions, providing technical leadership, and developing scalable machine learning systems in enterprise environments.

The Lead Machine Learning Engineer at CapTech designs and implements data-driven solutions, providing technical leadership while collaborating with clients and teams to optimize and scale machine learning systems.

Lead the design and implementation of machine learning solutions, providing technical leadership and mentoring in developing scalable systems for clients.

The Lead Machine Learning Engineer will design and implement scalable machine learning solutions, lead teams, and analyze large datasets using cloud technologies.

The Lead Machine Learning Engineer at CapTech designs and implements scalable machine learning systems, collaborates with teams, and provides technical leadership while optimizing enterprise data-driven solutions.

Lead Machine Learning Engineer is responsible for designing and implementing data-driven solutions, optimizing and deploying machine learning systems, and mentoring junior staff while working collaboratively across teams.

The Lead Machine Learning Engineer will design, implement, and optimize machine learning solutions while providing technical leadership and mentoring to junior staff. Responsibilities include managing large datasets, developing data-driven solutions, and collaborating with clients to align ML systems with business needs.

Develop auto-labeling and data augmentation solutions for perception and mapping. Collaborate on algorithms, analyze data, and deploy ML models.

Design and maintain datasets, build and evaluate domain-specific ML and vision-language models for real-time privileged access threat detection; deploy and optimize Python/Docker inference services integrated with WebSocket/WebRTC and protocol-level interfaces; monitor and document production models.

The Senior ML Engineer will develop and optimize machine learning solutions for audience intelligence, build production pipelines, and collaborate with cross-functional teams to enhance user engagement and revenue.

Lead the development of machine learning solutions for video personalization, enhancing user experience through data-driven insights and collaboration across teams. Drive technical strategy in building scalable systems and partnerships to innovate customer recommendations.

Seeking a Senior AI/ML Engineer with expertise in machine learning frameworks to support a U.S. Government customer on critical software systems.

Develop and optimize machine learning models and workflows to enhance insurance processes. Collaborate on model integration, monitoring, and improvement while driving innovation in modeling techniques.

Develop and improve machine learning models for Pinterest's various product surfaces, utilizing deep learning and advanced data processing.

Design and build machine learning models for Zillow's product features, optimize AI components, and mentor engineers within a cross-functional team.

As a Machine Learning Engineer at PayPal, you will develop and optimize ML models, analyze datasets, deploy solutions, and collaborate across teams to enhance product search capabilities.

As a Scientist in Machine Learning, you will develop novel models for RNA structure and drug targeting, advancing the R&D platform and collaborating with interdisciplinary teams.

Lead the strategy and development of state-of-the-art end-to-end autonomous driving research, optimizing ML models and collaborating across teams to influence technical decisions.

Responsible for designing and implementing predictive models for monetization and learner engagement, integrating machine learning systems into existing products, and collaborating with cross-functional teams to deliver measurable business outcomes.

The Senior Machine Learning Engineer will build and operate ML systems end-to-end, focusing on production-grade ML platforms, feature pipelines, and MLOps practices while collaborating with cross-functional teams.

Design, build, and maintain machine learning systems and fraud-detection solutions. Collaborate with product and engineering teams, perform code reviews and testing, optimize performance and maintainability, and deliver data-driven business solutions while producing technical documentation and ensuring security and architectural compliance.

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.

The role involves architecting Agentic AI products, driving optimization algorithms, developing AI frameworks, and managing the full ML lifecycle while collaborating with cross-functional teams.

The Senior Machine Learning Engineer will design, deploy, and operate ML systems for advertising, collaborating with cross-functional teams to enhance performance and reliability. Responsibilities include mentoring, promoting best practices, and owning ML project lifecycles.

As a Senior Machine Learning Scientist for Payments, you'll lead ML initiatives, develop production models, and collaborate with cross-functional teams to optimize data-driven solutions.