Top Machine Learning Engineer Jobs

The role involves enhancing a search-based question-answering platform through ranking features, algorithm frameworks, and performance metrics while collaborating with various teams to solve engineering challenges.

Seeking a Senior Machine Learning Engineer to enhance generative AI-driven search platforms, mentor engineers, and lead solution development in information retrieval and ranking.

As a Staff Machine Learning Engineer, lead teams in designing AI solutions, managing projects, and interfacing with clients while ensuring technical excellence and operational effectiveness.

Lead the design and advancement of AI platform infrastructure, focusing on distributed training, efficiency, and optimization of ML models. Collaborate with teams and guide architectural decisions.

Lead the development of automated ML-driven map reconstruction systems. Architect and implement pipelines to validate and maintain map primitives, ensuring reliability across large-scale deployments.

The Senior Lead Machine Learning Engineer will design, implement, and scale ML applications, ensuring performance and high availability while collaborating with cross-functional teams.

Lead the design and implementation of AI/ML systems, collaborating with cross-functional teams to deliver scalable solutions and mentor engineers.

Responsible for shipping production ML systems, designing robust architectures, maintaining data pipelines, and collaborating to translate product goals into ML solutions.

The role involves providing technical support for clients on digital banking platforms, managing customer relationships, and ensuring compliance with internal procedures.

Lead and mentor MLOps engineers in developing scalable machine learning infrastructure. Collaborate cross-functionally to ensure reliable production systems and drive best practices in ML workflows.

The Senior Machine Learning Engineer will design, build, and deploy AI agents at scale, enhancing Dropbox Dash's search and organization features. Requires extensive ML experience and proficiency in Python and ML libraries.

Lead design and implementation of LLM observability features: prototype and scale product capabilities for tracing, evaluating, and debugging generative AI systems. Work cross-functionally to influence architecture, mentor engineers, prioritize customer pain points, and drive product and engineering decisions for reliable, high-performance AI observability.

The role involves designing and optimizing ML infrastructure for large language models, collaborating with teams, and implementing best practices in ML and data engineering.

As a Lead Machine Learning Engineer, you'll design, build, and implement ML applications, collaborating with agile teams and focusing on optimizing systems at scale.

The Senior Lead Machine Learning Engineer will design, develop, and implement machine learning systems, collaborating with teams to solve business problems using machine learning applications.

The Machine Learning Engineer will apply machine learning techniques to improve advanced MIMO radios' performance, analyze RF datasets, collaborate on ML use cases, and stay updated on ML research.

The Senior AI/ML Engineer develops and deploys ML models for map content enhancement, leading technical guidance and collaboration with various teams.

Lead AI/ML engineer responsible for developing and deploying AI solutions in healthcare, collaborating with teams, and designing ML models.

The role focuses on developing machine learning models, enhancing data pipelines, and ensuring robust data infrastructure for AI/ML solutions, including collaboration and continuous model improvement.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

The Lead MLE will design, build, and deploy ML applications, collaborating with cross-functional teams and ensuring high performance and governance of models.

As a Lead Machine Learning Engineer, you will design, implement, and optimize ML systems, collaborate with teams, and ensure model performance.

As a Lead Machine Learning Engineer at Capital One, you'll design and implement ML applications, collaborate with teams, and maintain production models, leveraging cloud technologies and best practices.

The Senior ML Inference Engineer will design and operate a deployment platform for ML models onto autonomous vehicle hardware, collaborating with teams to enhance tools and address deployment issues.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.