Top Machine Learning Jobs

AI and ML Engineer responsible for training, testing, deploying, and maintaining ML models. Collaborate with data teams to deliver solutions and guide clients on ML technologies and algorithms.

Develop innovative machine learning algorithms for modeling proteins, collaborate with biologists, and refine predictions through experiments.

The role involves developing and maintaining machine learning models for robotics, creating training and deployment pipelines, and collaborating on product needs.

Lead the ML research and engineering teams at Wispr, focusing on developing multimodal speech recognition models and RL-based personalization of LLMs. Oversee model training, serving, and team growth.

The role involves developing ML-driven infrastructure for complex physics simulations, enabling autonomous agent behaviors and integrations with large-scale computational systems.

The Machine Learning Engineer will fine-tune and deploy Large Language Models, optimize ML models, maintain data pipelines, and collaborate on AI features.

As a Machine Learning Engineer, you will design, train, and deploy ML models for motion planning, develop data pipelines, and integrate models for real-time use in autonomous vehicles.

The Machine Learning Engineer will design and implement advanced ML models for energy systems, collaborating with R&D teams to tackle challenges in battery technology.

The role involves designing and implementing ML models for battery and energy systems, collaborating with R&D teams, and conducting rigorous experimentation.

The role involves developing and optimizing scalable AI/ML systems, collaborating across teams, and enhancing workflows to support drug discovery.

Develop machine learning models to predict molecular properties, create novel algorithms for new molecules, and collaborate with chemists and engineers to optimize performance and integrate models into software.

The AI/ML Engineer designs and deploys machine learning models, processes datasets, automates data pipelines, and supports testing in simulation environments.

As an AI/ML Systems Engineer, you will build on-device inference engines, integrate AI technologies, optimize performance, and collaborate with model authors to enhance LM Studio.

The AI/ML Engineer will develop AI/ML solutions, drive business impact, and collaborate across teams to enhance profitability through advanced analytics.

The ML Engineer will develop applications for biomarker and target discovery, supporting scientists with multi-step workflows and analyses in drug development.

The Machine Learning Engineer will build tools for interpretable AI, optimize infrastructure, and integrate workflows into products, ensuring reliability and performance.

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.

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.

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.

As a Machine Learning Engineer at FanDuel, you'll develop scalable ML applications, enhance user experience through intelligent systems, and collaborate across teams to validate AI insights.

The Machine Learning Engineer will design and implement search systems, develop scalable serving systems for ML, and collaborate with teams to productionize AI insights, requiring engagement with big data and machine learning frameworks.

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.

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.

Lead and mentor the Machine Learning Science team, driving innovation in algorithms for personalization and search while shaping the scientific community.

As a Senior Machine Learning Engineer, you'll design and implement ML models for personalization, collaborate across teams, and enhance recommendation systems.