Top Machine Learning Engineer Jobs

As a Senior Machine Learning Engineer, you will develop and deploy ML models for health data analysis, collaborating with cross-functional teams to ensure reliability and regulatory compliance.

Design and implement ML infrastructure for scalable deployment, collaborate across teams, optimize ML systems, and enhance tooling.

As a Senior Machine Learning Engineer, you'll design, build, and deploy ML models, improve algorithms, mentor juniors, and ensure code quality.

The Senior Machine Learning Engineer will design, implement, and deploy ML models, contribute to engineering standards, and mentor junior engineers.

Design and optimize pre-training pipelines for VLM models, conduct research on pre-training techniques, and evaluate performance for autonomous driving.

Design and develop Bird’s Eye View fusion models for autonomous driving using multimodal sensor inputs like LiDAR, focusing on performance, robustness, and scalability.

Nagarro is looking for an Associate Staff Engineer specializing in Machine Learning to tackle client challenges and enhance team collaboration, while pushing solutions further.

Develop and deploy large-scale, fault-tolerant agentic AI systems, lead initiatives, and ensure trustworthy AI agent interactions. Require 5+ years experience and advanced degree in relevant fields.

Develop and maintain software for grasping in robotics, integrate ML models, collaborate with a technical team, and participate in simulation testing.

The Senior Engineer II, Machine Learning will develop and implement machine learning models, analyze multiomic/single-cell data, and apply image processing techniques for research projects.

The role involves shaping the CV strategy, building ML solutions in production, and integrating them with software systems, focusing on computer vision applications.

Design, build, and productionize ML models; maintain data pipelines; collaborate with teams to deliver AI features and enhance product experiences.

Lead the development of a robotics data platform, focusing on data enablement, API architecture, and mentoring engineers in complex system designs.

The ML Engineer will develop and deploy machine learning models, collaborate with teams, analyze datasets, and improve model performance.

The R&D Engineer will design and implement performance workloads on Cerebras' wafer-scale hardware, collaborating across teams to advance AI and scientific computing. Responsibilities include optimizing performance models, contributing to the technology roadmap, and publishing research findings.

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

The Senior Machine Learning Engineer will design, develop, and deploy machine learning solutions for Vitol, working across trading and operations with various stakeholders.

Design and build a production-grade agentic workflow platform, integrating large language models and implementing orchestration, reliability, and extensibility for real-world business use.

Oligo seeks a Software Engineer with expertise in ML/AI to develop algorithms for generative design and optimization in spacecraft systems, collaborating with engineers to apply cutting-edge AI to hardware.

As a Senior Machine Learning Engineer, you'll design data pipelines, develop prediction systems, and optimize model deployment processes while collaborating with cross-functional teams.

The Senior Machine Learning Engineer at GEICO will design, develop, and deploy AI solutions, mentor junior staff, and collaborate with cross-functional teams to drive business value and innovation in generative AI workflows.

Develop and deploy production-grade AI/ML models, design end-to-end pipelines, and ensure compliance while collaborating with stakeholders in a federal environment.

Support customer network operations with systems engineering and project management by analyzing AI/ML proposals, coordinating activities, and improving processes.

Design, develop, and implement ML pipelines and collaborate with teams to integrate models, optimize techniques, mentor engineers, and communicate effectively.

The ML Research Engineer will implement and deploy deep-learning models for perception AI, manage data pipelines, and design user interfaces.