Top Senior Machine Learning Jobs

Lead the development of machine learning models for autonomous vehicles, improve data systems, and collaborate across teams to enhance technology and performance.

The role involves designing and deploying AI systems for a SaaS platform, focused on operational automation using machine learning models and APIs.

Lead the development of machine learning systems in agricultural applications, managing a team to deliver scalable pipelines and model operations.

As a Senior AI/ML Engineer, you will design and deploy LLM systems, collaborate with cross-functional teams, and manage model deployment in production environments.

The Senior Machine Learning Engineer will manage the full ML lifecycle, collaborating with teams to develop scalable systems that improve product decisions and empower monetization strategies.

The role involves leading machine learning initiatives to enhance automated testing for autonomous vehicles, improve model interpretability, and collaborate with cross-functional teams.

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

The AI/ML Software Engineer will design, implement, and maintain AI features and ML models for Rocket Lawyer's platform, working closely with cross-functional teams.

Design and implement CTR/CVR prediction models for ad ranking systems, ensuring high performance and accuracy while leading engineering projects and collaborating across teams.

The role involves designing ML models for autonomous driving, collaborating on stack requirements, and mentoring team members on high-quality code and ML practices.

Design, build, and deploy machine learning solutions. Collaborate with teams to transform research into practical applications using large datasets.

Develop and deploy machine learning models for decision-making in autonomous trucks, focusing on learned behavior systems and model performance improvements.

The Applied AI/ML Engineer will design, implement, and scale models for urban simulations, collaborating with teams to ensure alignment with customer needs and product requirements.

Lead design, development, and production deployment of ML and algorithmic solutions. Own end-to-end ML systems, support distributed production reliability, communicate tradeoffs, and apply generative AI, LLM fine-tuning, RAG, and agentic techniques to product problems.

As a Lead Machine Learning Engineer, you will develop and implement ML models, optimize data pipelines, and collaborate with cross-functional teams to enhance business solutions.

Develop and optimize machine learning models and pipelines for autonomous vehicles, focusing on behavior prediction. Collaborate with teams, lead projects, and ensure high-quality implementations.

Responsible for designing, building, deploying, and maintaining production-grade AI and ML solutions in a cloud-native environment, while collaborating with engineering and data teams.

The Applied Machine Learning Scientist will develop insitro's ChemML platform and integrate AI for drug discovery, collaborating cross-functionally.

The Senior Machine Learning Engineer will design, train, and evaluate ML models to solve complex problems, mentor others, and optimize production systems.

As AI/ML Technical Lead, you'll lead the design and implementation of ML/AI solutions, foster collaboration between teams, and optimize performance while mentoring teams.

The Senior Machine Learning Engineer will develop AI products, support feature implementation, and troubleshoot ML services to enhance customer experiences.

The Staff Machine Learning Engineer will develop ML platforms, design predictive models, and automate workflows for improved decision-making and user experience at GEICO.

The role involves applying AI/ML techniques to develop model systems for healthcare, collaborating across teams, and conducting R&D.

The Staff ML Engineer will define and build ML capabilities, focusing on production systems, strategy, and infrastructure in a cybersecurity context.

As a Senior ML Engineer, you will implement and optimize ML models for production, ensuring performance and scalability while collaborating with data and backend engineers.