Top Machine Learning Engineer Jobs

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.

Lead the architecture, development, and deployment of machine learning systems. Collaborate with teams to integrate models into products and drive the technical roadmap for core ML infrastructure.

The Senior Machine Learning Engineer will design and maintain ML solutions for fraud detection, collaborating across teams and establishing MLOps best practices.

The Lead Machine Learning Engineer will design and develop ML evaluation systems, translate research to production, and mentor engineers. They must engage with various teams and stay updated on ML advancements.

As an ML Platform Engineer, you will enhance our core ML platform's performance and scalability, collaborating with teams to innovate solutions.

Design and deploy machine learning models for pricing decisions, implementing backend services and collaborating with teams to influence pricing strategy.

As an AI/ML Platform Engineer, you will develop APIs, data pipelines, and workflows to support AI capabilities for scientific research, ensuring system reliability and scalability.

As a Senior Machine Learning Engineer at Unity, you will design and implement advanced prediction models for ad ranking, ensure model quality, and collaborate with teams on engineering strategy.

The Senior Machine Learning Engineer will build Next-gen AI based search systems, optimize ML architectures, and collaborate on search-related projects within a dynamic team.

As a Staff ML Ops Engineer, you'll architect high-performance systems for AI/ML, manage Kubernetes infrastructure, and develop scalable backend APIs, enabling scientific discoveries across the materials science industry.

Lead the development of an AI-powered analytics platform focusing on data systems, ML, and natural language interfaces to enhance cloud security.

As a founding ML engineer, you'll build the core intelligence layer of our platform, focusing on model evaluation, SLM training pipelines, and real-time model routing, with opportunities for publishable research.

The role involves developing advanced machine learning algorithms, solving complex optimization problems using reinforcement learning techniques, and leading technical projects while optimizing solutions for operational efficiency.

Design and build Machine Learning libraries, implement CI/CD pipelines, and support Ray-based compute environments, collaborating with ML experts.

Design and implement machine learning models to enhance user experiences, collaborate with teams, and contribute to scalable ML solutions.

Responsible for productizing software stack for AI compute engine; focusing on development, optimization, and scaling of AI deployment software, collaborating with hardware and software teams.

As a Senior Staff Software Engineer, you will develop and maintain AI deployment software, optimizing hardware-software co-design, and work closely with various experts to enhance infrastructure.

Responsible for improving Zoox's HPC infrastructure, optimizing cloud/storage systems for ML workloads, designing APIs, and investigating distributed paradigms.

Design and develop auto-labeling algorithms for autonomous driving, collaborating with ML engineers to enhance data quality and efficiency in model training.

Design and implement models for spatial-temporal visual reasoning in autonomous driving, collaborating with ML engineers to optimize LLM/VLM performance.

Design, develop and deploy AI/ML solutions; oversee end-to-end AI projects; implement ML pipelines; advocate for responsible AI practices.

As a Senior Machine Learning Engineer, you will develop real-time computer vision and tracking algorithms on edge devices, optimize performance for airspace security, and collaborate closely with various engineering teams to integrate and deploy solutions.

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

As a Machine Learning Engineer, you will design, develop, and deploy voice and digital agents to manage customer interactions, focusing on reliability and efficiency.

The role involves designing and implementing transformer-based perception models, handling multi-sensor data fusion, and ensuring real-time system integration.