Top Machine Learning Engineer Jobs

Design, train, and implement domain-specific LLMs for automation in restoration companies. Collaborate with teams, coordinate AI engineering, and ensure model reliability.

As a Senior Machine Learning Engineer, you will design ML infrastructure, build AI features, and collaborate with cross-functional teams while managing large data sets.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

As a Senior Machine Learning Engineer at Axon, you'll develop AI solutions for public safety, collaborating on training and deploying machine learning models, while ensuring ethical AI development.

Design and build backend systems for credit insights products, collaborating with various teams, and mentoring junior engineers.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Join the Waymo ML Infrastructure team to build and enhance ML-powered tools and web applications while collaborating with Google to improve developer efficiency.

Join a team to engineer high-efficiency deep learning architectures for molecular machine learning, focusing on optimization and scaling across GPUs for drug discovery.

The ML Research Engineer will develop training pipelines for atomistic simulation models and collaborate with researchers to optimize training workflows.

Develop, evaluate, and deploy AI systems and machine learning models, focusing on NLP and multimodal models. Collaborate with teams and publish research.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

Build and maintain ML infrastructure for robot manipulation, including data pipelines, training systems, and real-time inference, collaborating with researchers.

The role focuses on educating ML practitioners on leveraging Hugging Face Cloud solutions by driving visibility through technical content, public speaking, and partnerships with strategic cloud providers.

Develop and improve C++ systems interacting with hardware sensors, build scalable data pipelines, and design deep learning algorithms for chemical data insights.

The Senior Machine Learning Engineer will develop and deploy ML models for the electric grid, mentor junior engineers, and collaborate across teams to tackle complex energy challenges.

The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.

Join the AI team to build automation features in AI/ML, owning projects from concept to integration, and collaborating with leadership.

Design and deploy deep learning models for autonomous rail vehicles, focusing on machine learning and computer vision challenges. Collaborate with cross-functional teams to integrate ML into real-world applications.

Design and deploy reliable ML models for drone navigation using deep learning. Collaborate across teams and mentor on ML adoption.

As a Senior Engineer, you will design and scale ML models for fraud detection, develop MLOps pipelines, and collaborate with cross-functional teams.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

The Senior Machine Learning Operations Engineer will build and operationalize the ML Ops platform to deploy and monitor machine learning models, focusing on infrastructure, automation, and integrating ML workloads within the AWS-native architecture.

As a Principal Software Engineer, you'll architect version 2 of an AI claims management platform, designing complex systems for insurance claims handling while mentoring engineers and collaborating with leadership.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.