Top Machine Learning Engineer Jobs

As a Senior Staff Data Scientist/Machine Learning Engineer, you will develop machine learning models to enhance Autodesk's eCommerce platforms, drive data-informed decisions, and mentor junior team members.

The Data Scientist will lead the implementation of advanced analytics solutions, mentor teams, drive business development, and evaluate project impact.

The Staff Machine Learning Engineer develops generative AI applications, collaborates across teams to support product execution, and optimizes AI solutions for performance and monitoring. Responsible for research, strategy, planning, and quality assurance of AI systems in production.

The Machine Learning Engineer will design and implement advanced ML models for energy systems, collaborating with R&D teams to tackle challenges in battery technology.

The role involves designing and implementing ML models for battery and energy systems, collaborating with R&D teams, and conducting rigorous experimentation.

The Machine Learning Engineer will design high-throughput data pipelines, productionize ML models, and collaborate with researchers and QA teams to enhance model performance and scalability in financial data processing.

The Machine Learning Engineer will build models, manage data pipelines, and work with LLMs to enhance predictive capabilities in the (re)insurance domain.

The role involves building and scaling machine learning systems for content moderation, designing evaluation frameworks, and developing multimodal models for policy enforcement, while mentoring other engineers.

Design and build interactive ML features, collaborate with cross-functional teams, and prototype new solutions for enhanced user experiences in audio streaming.

The Machine Learning Engineer will develop and deploy computer vision models, manage ML data infrastructure, and integrate systems for autonomous aerial platforms.

As a Machine Learning Engineer, you will design and develop scalable AI inference systems, collaborate on innovative solutions, and enhance distributed infrastructure using Kubernetes and other technologies.

The Senior Machine Learning Engineer will develop and optimize production machine learning models, implementing MLOps practices, monitoring performance, and collaborating across teams.

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

Design, train, and maintain machine learning models for aerial target detection and classification. Oversee dataset pipeline and deployment of models, ensuring performance in real-world operations.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Senior Data Engineer will develop real-time streaming data pipelines for pricing algorithms and machine learning models, ensuring low-latency data delivery and system reliability. Responsibilities include collaborating with other teams, defining architectural standards, and mentoring junior engineers.

The Senior AI/ML Capacity Engineer will develop capacity planning models, design analytical tools, and collaborate with teams to optimize costs and efficiencies.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

As a Machine Learning Engineer, you will design, build, and improve ML models for Spotify's subscription services, collaborating with cross-functional teams to enhance user experience and increase subscriber retention.

As a Staff Software Engineer, you will lead the development of computer vision systems for sidewalk inspection, overseeing model lifecycle, system architecture, and mentoring while improving deployment practices.

The role involves building and deploying machine learning models, collaborating with engineers and product teams, and enhancing customer experience through ML solutions.

The Senior Staff ML Engineer will define technical strategy, develop scalable ML systems for generative AI, mentor engineers, and lead initiatives across teams, impacting the company's AI solutions.

Responsible for fine-tuning state-of-the-art LLMs, optimizing models for deployment, and driving AI architectural decisions. Collaborate with cross-functional teams to develop impactful AI products.

The Principal Machine Learning Engineer will lead AI product development, integrating AI frameworks into financial planning, collaborating cross-functionally, and mentoring engineers while managing AI model lifecycles and optimization tasks.

Lead the 3D Mapping team in designing ML models and algorithms for 3D perception and mapping, coordinating with cross-functional teams and driving development metrics.