Top Machine Learning Engineer Jobs

Rocket Lawyer seeks an experienced AI/ML Software Engineer to enhance AI features in their platform, mentor developers, and collaborate across teams.

The role involves developing AI/ML features, mentoring junior developers, and collaborating with product teams to integrate AI capabilities into Rocket Lawyer's platform.

Design and optimize machine learning platforms for heart disease diagnosis, ensuring compliance and scalability within healthcare regulations. Lead the integration of innovative ML systems and workflows to enhance operational efficiency and clinical outcomes.

As a Lead Data Scientist, you will design end-to-end analytical solutions, develop ML infrastructure, and collaborate with clients to deliver insights and manage solutions.

As an MLOps/ML Platform Engineer, you will build and manage ML systems, optimize workloads, and ensure production model reliability while collaborating across teams.

The Senior Machine Learning Engineer will design, implement, and scale advanced foundation models, collaborate with researchers, and build AI systems. Requires hands-on experience with distributed training pipelines and proficiency in AI frameworks.

The Senior Machine Learning Engineer will design innovative machine learning models for drug discovery, leveraging large-scale single-cell datasets and collaborating with ML Scientists to develop optimized models.

Design and build machine learning models and infrastructure, optimize performance, and deploy systems with low-latency requirements.

Lead and build data pipelines for Backflip's foundation model, driving data architecture, augmentation, and evaluation to enhance model performance in manufacturing and CAD.

The Senior Machine Learning Engineer will build and operate ML systems, manage the model lifecycle, and mentor team members while ensuring sustainability data accuracy.

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

Develop innovative machine learning algorithms for protein modeling and design, collaborating with experimental biologists and refining predictions.

The role involves designing and developing machine learning infrastructure, enhancing core ML components, and collaborating with ML engineers on robust model pipelines.

The Senior Machine Learning Engineer will build machine learning models and innovative web applications for Generative AI, collaborating with teams to drive design and implementation.

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.

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

Develop and deploy Machine Learning models as part of a data team. Collaborate with engineers, analysts, and scientists. Innovate across ML fields.

Design and build scalable machine learning systems, mentor ML engineers, and collaborate with internal teams to enhance the ML platform.

Develop ML infrastructure for monetization, integrate systems, collaborate with scientists, and ensure model performance and reliability.

Develop and optimize ML infrastructure and APIs for monetization platforms, ensuring seamless integration, performance monitoring, and real-time processing for Twitch's ecosystem.

This role involves owning and evolving the ML platform, driving architecture standards, leading initiatives, and mentoring engineers to enhance ML capabilities at Faire.

The Sr. Machine Learning Engineer will analyze data, develop risk control strategies, prepare reports, and partner with teams for implementing risk strategies using ML tools.

Build and operate high-throughput pipelines for data, develop ML platform components, and implement observability for production ML systems while collaborating cross-functionally.

As an ML Solutions Architect, design, implement, and lead machine learning solutions for Conversation AI, collaborating with cross-functional teams to address complex business challenges.