Top Machine Learning Engineer Jobs

As a Senior Machine Learning Engineer, you will build and optimize pipelines, ensure model quality, and collaborate with teams to enhance fraud detection systems.

Develop ML solutions for image processing on AR/VR/MR products, collaborate on system integration, and maintain core ML pipelines.

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

The AI/ML Engineer will design and deliver scalable ML solutions, improve existing tools, write maintainable code, and collaborate with teams.

Develop and deploy AI-driven solutions, collaborate with teams, and communicate technical concepts effectively, focusing on national security challenges.

As a Senior Machine Learning Engineer, you will develop and scale machine learning models for Rovo Chat, ensuring reliability and utility, while communicating solutions across teams.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead the design and deployment of machine learning models to detect fraud, collaborating with teams to optimize performance and effectiveness while integrating solutions into existing systems.

As a Lead Software Engineer, you will develop software solutions, ensure operational stability, manage teams, and drive the adoption of innovative technologies across the organization.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

The role involves improving Python development workflows, leading projects across teams, mentoring engineers, and enhancing developer productivity using various tools and systems.

The role involves deploying and scaling machine learning models, optimizing systems for ML applications, and collaborating with various teams to support data science functionalities at Squarespace.

As a Senior Manager of Software Engineering, lead technical teams, mentor engineers, oversee project execution, and deliver AI-powered solutions. Focus on operational efficiency and collaboration across functions.

As a Forward Deployed Engineer in ML, you will design and implement machine learning solutions for enterprise clients, ensuring successful deployment and client satisfaction while collaborating with numerous technical teams.

As a Forward Deployed Engineer for ML at Sonar, you will engage with clients to implement and deploy machine learning solutions, ensuring successful integration and production-grade deployments while leading technical discussions and building client relationships.

The role involves building awareness of technologies, mentoring talent, promoting a culture of engineering excellence, and collaborating on critical business issues.

Develop large-scale Foundation Models for Autonomous Driving & Robotics, collaborating with teams, optimizing model performance, and mentoring junior members.

Join Braze's Engineering team to design, improve, and scale their self-learning AI platform using best software engineering practices and data architecture.

Lead the development and deployment of machine learning models, collaborate with cross-functional teams, mentor juniors, and innovate product features.

The AI/ML Platform Engineer will design and scale AI and ML infrastructure, collaborating with teams to deploy machine learning models and enhance user experience across Whatnot's marketplace.

The Lead AIML Security Engineer will develop technical controls solutions in AI/ML, produce secure code, and ensure architectural integrity across cloud platforms.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

The role involves designing and deploying machine learning models, optimizing large language models, and collaborating with cross-functional teams to enhance data management for alternative investments.

Design, implement, and improve modular components for a self-learning AI platform. Collaborate with teams to leverage big data and enhance Braze's product strategy, ensuring customer success.