Top Senior Machine Learning Jobs

Lead the development of ML models for autonomous vehicle behavior planning, mentor junior engineers, and advance machine learning technology for safe navigation.

The Machine Learning Engineer will develop and maintain ML deployment pipelines, operationalize AI models, and ensure system reliability and scalability.

Lead Data Scientist will develop and deploy machine learning models, monitor performance, guide team members, and analyze data for insights. Requires extensive experience in machine learning and deep learning frameworks.

As a Senior Vice President at AlixPartners, you will lead complex projects focusing on performance improvement, data analysis, and machine learning applications to enhance business outcomes.

The role involves creating models for machine learning accelerators, analyzing workloads, and collaborating with engineering teams to optimize performance and functionality.

Lead collaboration to improve ML workloads on cloud and self-driving cars, optimize models, and mentor junior engineers.

Lead the Safety ML team as a technical lead, driving ML systems development for safety, collaborating with cross-functional teams, and tackling complex safety challenges.

The ML Engineer will develop and enhance machine learning models for credit decisioning, drive technical innovation, and collaborate across teams to deliver impactful solutions for small businesses.

The Senior Machine Learning Engineer will design and build systems for processing social media data, implementing infrastructure for ML systems, and working with advanced AI models.

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.

The Machine Learning Engineer will develop the internal ML environment, partnering with research to ensure models are production-ready and optimizing infrastructure performance.

Develop AI models for edge computing, collaborate on AI/ML application design, and implement solutions using a variety of programming languages and frameworks.

The Senior Machine Learning Engineer will implement and enhance ML solutions, working closely with various business departments to deliver scalable applications and improve MLOps practices.

As an AI/ML Engineer, you will design and deploy models for data processing, support intelligence clients, and ensure data compliance standards.

Join Amplifier as a Senior ML Engineer to optimize and manage the deployment of our Large Acoustic Model, focusing on performance and pipeline architecture.

The Principal Machine Learning Engineer will develop multimodal technologies, mentor engineers, and drive product innovation in agentic AI systems.

As a Staff Machine Learning Engineer, you will design scalable ML systems, mentor engineers, solve complex problems, and optimize models in a fintech environment.

Design, develop, and deploy scalable ML software systems for healthcare. Collaborate with teams to improve products and ensure performance and reliability.

Design and develop scalable ML systems for healthcare, collaborating with teams to enhance products and maintain efficient infrastructures.

As a Senior Software Engineer, you'll build AI features focused on LLMs and RAG systems, collaborating across teams to ensure robust performance.

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 Senior Software Engineer II at Aledade will develop scalable AI/ML solutions, mentor junior engineers, and collaborate with cross-functional teams in the healthcare industry.

Lead ML engineering team to develop and manage AI/ML models and production systems, ensuring quality, compliance, and collaboration across teams.

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.

Lead the development of ML algorithms for robotic manipulation, focusing on multimodal perception and real-world deployment, integrating with other robotics functionalities.