Top Machine Learning Jobs

The Machine Learning Researcher at Virtu will develop and implement innovative deep learning models to solve complex market problems, collaborating with cross-functional teams and directly impacting business outcomes.

Develop and maintain machine learning models for robotics applications, collaborate across teams, and contribute to innovative solutions in AI and mobility.

The ML Engineer will design and implement AI solutions for Axon's devices, collaborating with scientists to enhance model efficiency and ensure responsible AI deployment.

The AI/Machine Learning Engineer will design, develop, and deploy AI models for healthcare, collaborating with teams to enhance patient outcomes using advanced data analytics and machine learning techniques.

As a Senior Machine Learning Engineer, you will design and maintain ML systems for content recommendations, search, and spam detection, while augmenting user experience and system performance.

The Staff ML Engineer will lead the architecture and development of AI/ML features, oversee complex systems, mentor teams, and enhance product experiences through ML solutions.

As an AI and ML Engineer, you'll develop secure, scalable AI solutions, enhance data pipelines, and operationalize ML models in an Agile team environment.

The role involves preparing traffic data, developing and deploying machine learning models on Google Vertex AI, and collaborating with teams to improve project workflows.

The role involves designing and maintaining CTR and CVR models, enhancing user behavior models, ensuring model performance, and collaborating with stakeholders.

Lead the design, development, and implementation of advanced machine learning models, collaborating with teams to enhance services through AI/ML solutions.

Develop and deploy machine learning pipelines to extract structured data from unstructured oncology documents, iterating for accuracy and customer integration.

The role involves designing and refining reward signals for recommendations, collaborating with teams, and implementing ML solutions to enhance user satisfaction.

The Staff Machine Learning Engineer (Pricing) will design and deploy ML systems for pricing optimization at GoFundMe, including model development, real-time inference, and metrics evaluation while collaborating with cross-functional teams.

The ML/LLM Engineer will optimize pipelines for ML and LLM systems, fine-tune models, collaborate on healthcare applications, and enhance model quality and safety.

As a Machine Learning Engineer, you'll design and build ML models, manage the ML lifecycle, collaborate with teams, and mentor peers based on experience level.

Develop machine learning models to automate tasks, focusing on LLM-based AI agents. Responsibilities include design, deployment, and maintenance of AI systems.

The Machine Learning Engineer will research and develop AI-driven solutions to analyze customer data, optimize ML models, and collaborate with cross-functional teams.

The Machine Learning Engineer will develop ML models, maintain data pipelines using Databricks, and collaborate with Data Scientists to productionize models while ensuring data quality and reliability.

Lead the transition from teleoperation to autonomy in robots by developing Vision-Language-Action models and deploying ML systems. Collaborate on data processing and model integration for robotics applications.

The AI/ML Engineer will design, build, and maintain AI components and data pipelines, support applied AI use cases, and collaborate with teams to enhance AI and data engineering expertise.

The Senior Machine Learning Research Engineer will develop and deploy deep learning pipelines, optimize model training, and collaborate with scientists to enhance AI/ML capabilities for cancer detection.

Lead the development of machine learning models for maritime autonomy, focusing on Radar and EO/IR object detection and semantic segmentation. Collaborate on multi-target tracking and SLAM, and optimize models for edge deployment.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

The Forward Deployed ML Engineer will integrate AI/ML models into clinical software, assist in model fine-tuning, and engage with clients to ensure success in healthcare deployments.

The role involves applying machine learning techniques to circuit design, analyzing datasets, building and optimizing models, and collaborating with teams on various projects in VLSI and circuit design.