Top Machine Learning Engineer Jobs

As an Autonomy Engineer, you will design and implement scalable data pipelines, manage ML workflows, and improve AI training infrastructure for drones.

The Machine Learning Engineer will develop production-grade ML pipelines, optimize research code, and implement cloud infrastructure for ML workloads at Harmonic.

The Senior Software Engineer is responsible for designing, developing and maintaining AI-powered services, enhancing ML capabilities, and leading cross-functional teams in a collaborative environment to innovate and implement best practices in document intelligence.

The role involves designing and implementing production-grade machine learning systems for conversational AI experiences, focusing on user engagement and context management.

The Staff ML/AI Platform Engineer will design, prototype and deploy AI/ML models, optimize pipelines, mentor junior engineers, and collaborate closely with other teams to develop machine learning solutions.

The AI ML Operations Engineer will design and manage machine learning systems from data collection to deployment, ensuring system reliability and optimizing workflows.

The role involves designing and implementing AI-driven quality automation and performance engineering solutions across enterprise-grade platforms, collaborating with engineering teams and integrating automation into the software development lifecycle.

Design and maintain datasets, build and evaluate domain-specific ML and vision-language models for real-time privileged access threat detection; deploy and optimize Python/Docker inference services integrated with WebSocket/WebRTC and protocol-level interfaces; monitor and document production models.

Design and implement AI solutions to automate workflows, enhance decision-making, and ensure security in sensitive environments, requiring deep technical expertise.

Develop innovative machine learning algorithms for modeling proteins, collaborate with biologists, and refine predictions through experiments.

As a Machine Learning Engineer at FanDuel, you'll develop scalable ML applications, enhance user experience through intelligent systems, and collaborate across teams to validate AI insights.

The Machine Learning Engineer will design and implement search systems, develop scalable serving systems for ML, and collaborate with teams to productionize AI insights, requiring engagement with big data and machine learning frameworks.

The role involves developing ML models for 3D computer vision, collaborating across teams, and deploying models on embedded devices.

The MLOps Engineer will operationalize and scale AI/ML applications, manage CI/CD pipelines, develop ML pipelines, and collaborate closely with data scientists and ML engineers.

Build and maintain the ML "Laboratory": interactive training systems, evaluation and benchmarking tools, data processing and orchestration pipelines, and internal tooling to accelerate model research-to-production for robotic systems.

As an AI/ML Systems Engineer, you will build on-device inference engines, integrate AI technologies, optimize performance, and collaborate with model authors to enhance LM Studio.

Design and build machine learning models for Zillow's product features, optimize AI components, and mentor engineers within a cross-functional team.

Lead the Snowflake Machine Learning Platform development, ensuring operational excellence and collaborating on innovative ML solutions to enhance customer capabilities.

The Software Engineer III designs and develops complex software solutions, provides application support, and improves operations through systems analysis and recommendations.

The Senior ML Engineer will develop and optimize machine learning solutions for audience intelligence, build production pipelines, and collaborate with cross-functional teams to enhance user engagement and revenue.

The MLOps Engineer focuses on developing tools and processes for ML workflows, empowering engineers, and ensuring high-quality model deployment. Key responsibilities include managing distributed systems, improving observability, and advocating best practices across teams.

Design and build scalable, fault-tolerant ML serving platforms for robotics. Optimize computer-vision and foundation-model pipelines for cloud GPUs, develop observability and monitoring, conduct architecture reviews, and lead end-to-end projects integrating research and production.

The Staff Software Engineer will lead ML infrastructure, architect systems for model training and deployment, and mentor engineers on best practices.

Seeking a Senior Machine Learning Engineer with expertise in Generative AI and MLOps to design and maintain AI solutions for telecom, focusing on performance and scalability.

Join Spotify's Personalization team to enhance music recommendations using cutting-edge ML and AI technologies, collaborating across teams and prototyping new features.