Top Machine Learning Jobs

Develop technologies for optimizing AI models in autonomous driving. Collaborate on parallel algorithms and influence compute platform architecture.

The ML Researcher / Modeling Quant will develop and optimize ML models for trading strategies, ensuring they are production-ready for real-time markets.

This role involves designing, deploying, and optimizing fraud detection models, integrating AI solutions, and maintaining machine learning systems.

Drive cross-team engineering efforts to improve user experience on Homefeed by implementing large-scale machine learning systems and enhancing data processing efficiency.

As a Machine Learning Engineer, you will enhance video solutions, scale AI/ML systems, and improve model performance. You'll work with experimentation, deployment, and technical optimization.

Design and implement learning-based algorithms for robotic manipulation and navigation. Build reliable software, collaborate with teams, and conduct experiments.

The Lead AI/ML Engineer will develop AI systems, optimize ML models, collaborate with teams, and mentor junior members while ensuring quality in software projects.

As a Senior Applied Machine Learning Engineer at Upwork, you'll leverage advanced machine learning techniques to enhance search and recommendation systems, analyze data to improve user experience, and develop large language models.

The Applied Machine Learning Scientist II will design experiments, develop AI models, optimize manufacturing processes, and document findings for stakeholders at Blue Origin.

The Sr. AI/ML Engineer III role involves building and maintaining AI/ML models, analyzing complex datasets, and supporting architectural leadership with a focus on security requirements.

Build and deploy machine learning pipelines, improve model performance, integrate data science with software, and support clients with data analysis.

The Senior Machine Learning Engineer will lead ML initiatives, design scalable systems for data processing, and mentor colleagues to build robust ML infrastructure.

Lead the design and deployment of ML systems to enhance customer experiences, mentor engineers, and drive AI initiatives, collaborating closely across teams.

As an ML Engineer, you will develop and deploy machine learning models, collaborate on research, and mentor team members in materials science applications.

The ML Engineer will design and automate evaluation pipelines, curate datasets, deploy voice models, and ensure model performance while scaling workloads.

The Senior Machine Learning Engineer will design and implement ML solutions, collaborate with teams, and contribute to scalable infrastructure enhancements.

As a Machine Learning Engineer, you will build AI applications for the food industry, focusing on ML methodologies, solution development, and team collaboration.

As a Machine Learning Engineer, you will build AI applications for the food industry using machine learning methodologies. Responsibilities include developing solutions, creating tools for machine learning access, and collaborating with teams to drive innovation.

Design and implement machine learning systems for optimizing ad performance, collaborating with cross-functional teams to enhance user experiences.

The Staff Machine Learning Engineer will design, develop, and optimize machine learning applications, mentor junior engineers, and conduct research to enhance Quantcast's ML systems.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

As a Senior Machine Learning Engineer, you'll own the ML lifecycle, build scalable data pipelines, and collaborate cross-functionally to enhance Cognitiv's deep learning infrastructure.

This role involves designing and delivering machine learning models for search and ranking systems, collaborating on architecture and code, and evaluating performance metrics.

As a Machine Learning Research Engineer, you will research and train models, build agents using proprietary algorithms, and apply techniques to real enterprise datasets.

Lead the development and deployment of machine learning solutions that enhance content discovery on Netflix, partnering with engineering and creative teams.