Top Machine Learning Engineer Jobs

Develop and maintain machine learning models and pipelines as part of a cross-functional data team. Build/operate ML platforms, use data processing frameworks, apply software engineering practices, obtain Security+ and support classified (Top Secret/SCI) environments while working onsite in Oahu with travel up to 30%.

Develop, scale, and monitor ML and perception systems for autonomous vehicles. Analyze real-world ML behavior, root-cause issues, create automated detection and debugging tools, and maintain safety-critical metrics.

Apply AI/ML and data-driven techniques to accelerate NAND flash controller design verification. Build models and tooling for failure triage, anomaly detection, and root-cause analysis, integrate ML solutions with verification pipelines, and collaborate with design, DV, firmware, and infrastructure teams to improve debug efficiency and coverage closure.

Design, build, and maintain scalable AI/ML architectures; collaborate with data scientists, engineers, product, and compliance to integrate models; evaluate tools and processes; monitor performance and ensure industry-standard compliance and ethical practices.

Design and build core ML systems for AI agents, managing the lifecycle from problem framing to deployment, ensuring solutions are scalable and enterprise-ready.

Develop intelligent AI solutions for enterprise operations, design robust ML architectures, and mentor junior engineers. Collaborate with teams to deliver results.

Design, deploy, and maintain production-grade agentic and ML systems. Build evaluation, monitoring, and experimentation tooling; automate ML lifecycle and retraining; QA agent behaviors; collaborate cross-functionally and communicate findings to stakeholders.

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.

As the first Developer Advocate at Encord, you will educate the community, create technical content, and engage in ML/CV networks and events.

As a Machine Learning Engineer, you will develop deep generative models, create efficient data pipelines, and evaluate complex biological models in a biotech startup.

As an intern, support the development of AI-assisted systems analyzing procedural data, creating metrics, and prototyping reports for robotic-assisted medical procedures.

The AI/Machine Learning Engineer II designs and develops models to analyze health data, ensuring efficient deployment in Masimo products.

The Sr Engineer, AI & ML designs and develops algorithms and models for health monitoring devices, utilizing advanced ML techniques and data analysis to improve medical technology and diagnostics.

The Sr Engineer will design and develop AI and ML models for health monitoring devices, analyze data, and implement algorithms for biomedical signal processing.

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

The Senior AI/ML Engineer designs and implements AI/ML solutions to enhance profitability, while collaborating across teams and communicating insights to business leaders.

The ML Platform/MLOps Engineer will build and maintain infrastructure for large-scale ML systems, ensuring efficiency, reliability, and security while supporting the research team from experiments to production models.

Design, build, and scale ML and Generative AI systems. Develop applications using ML architectures and monitor model performance.

The Senior Machine Learning Engineer will lead ML projects from ideation to production, focusing on ranking and recommendation systems and collaborating with cross-functional teams for robust AI solutions.

The role involves improving Picture and Audio Quality using Machine Learning, applying advanced techniques to enhance streaming experiences, and collaborating with engineering teams.

The Senior Machine Learning Engineer will design tools for agent development, optimize AI systems, and collaborate with teams to implement production-ready solutions.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.