Top Senior Machine Learning Jobs

Drive advanced modeling and analytics for fraud detection and identity theft. Lead technical initiatives and manage full model lifecycle.

Lead design and build scalable data ingestion and feature pipelines for foundation models; implement data quality monitoring; model and integrate new data sources; run experiments measuring data impact; optimize ML training and hyperparameters; collaborate with ML, platform, and infra teams; lead technical initiatives and mentor team members.

Responsible for developing machine learning capabilities, partnering with Data Scientists, and enhancing customer experiences through AI solutions.

The Head of ML will define the technical vision, mentor a team of ML engineers, and lead the production of automation products using survey data.

The Senior ML Engineer will develop and deploy full-stack AI solutions, manage LLM integration, and collaborate closely with defense clients to enhance real-world applications in secure environments.

Responsible for designing and optimizing VLSI circuits, translating requirements into data science problems, and building machine learning solutions. Collaborate on hardware design and integrate models into existing tools.

The role involves developing and deploying machine learning models for forecasting within the Camus platform, requiring collaboration and technical depth in ML.

As a Machine Learning Engineer, you will own the full lifecycle of ML from model development to production deployment, collaborating with teams to drive ML processes.

Lead the scientific direction and machine learning development for climate modeling. Manage model training, evaluation, and collaboration across teams to develop predictive systems based on hydrology and climate data.

As a Founding Engineer, you'll enhance AI/ML performance, build infrastructure for model training, and improve user experience at a fast-paced startup.

The Senior Machine Learning Engineer will design and deploy ML models, mentor junior engineers, and contribute to project architecture, enhancing security applications.

The Machine Learning Engineer will lead applied AI research initiatives, optimize deep learning architectures, collaborate across teams, and mentor others while ensuring model deployment aligns with MLOps constraints.

As the founding Machine Learning Engineer, you'll own end-to-end credit risk modeling, from data pipeline design to production deployment, collaborating with cross-functional teams to shape modeling decisions and define future hires.

The role involves developing AI/ML models to predict organoid growth and optimizing differentiation protocols through computational methods, collaborating with experimental teams.

Develop machine learning models for multi-object tracking and road feature estimation, transitioning solutions from lab to production. Collaborate on algorithm design and maintain software best practices.

The Senior AI/ML Engineer will develop AI systems for enterprise decision-making, focusing on LLMs and real-time data processing. Responsibilities include building detection systems, insight engines, evaluation frameworks, and collaborating with engineers to ensure robust AI product engineering.

This role involves developing recommendation systems, creating metrics for model performance, mentoring, and collaborating with cross-functional teams to enhance data-driven insights and algorithm efficiency.

Lead the machine learning team to develop scalable AI solutions, mentor engineers, and oversee complex ML projects within the Ad Platforms organization.

The Manager of Machine Learning Engineering will lead a team to develop and deploy scalable ML solutions, oversee project direction, and ensure responsible AI practices while fostering cross-functional collaboration at Disney.

As a Senior Staff Machine Learning Engineer, you will lead the development and deployment of machine learning models, ensuring they drive business growth and meet performance requirements. You will collaborate with teams, manage data pipelines, and implement state-of-the-art solutions while continuously improving model performance.

As a Staff Machine Learning Engineer, you'll build production-scale ML models for personalization and risk management, mentor junior scientists, and collaborate with cross-functional teams to drive impactful product features.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

As a Senior Machine Learning Engineer, you'll design and deploy ML models, build cloud-native solutions, and mentor junior engineers within healthcare technology.

Lead the development and deployment of ML models for personalized consumer experiences, pricing optimization, and fraud detection. Collaborate across teams to drive business impact and mentor others in ML techniques.

As a Senior Machine Learning Engineer on the Perception Mapping team, you'll develop ML models for semantic map detection, integrate them into autonomy systems, and lead technical efforts in model validation and best practices.