Top Machine Learning Jobs

The Senior Staff Machine Learning Engineer will lead system development for personalization and ranking, mentor engineers, and influence technical direction within large-scale systems.

The Applied AI/ML Engineer will design, develop, and deploy AI and machine learning solutions while collaborating with cross-functional teams to optimize processes and enhance operational efficiency.

The Staff Machine Learning Engineer at IAS leads innovation in machine learning systems, managing a team to develop scalable AI solutions for advertising, leveraging deep learning and advanced infrastructure.

As a Staff Machine Learning Engineer, you'll oversee data science systems, manage a team, and innovate AI/ML-based services with large-scale infrastructure for predictions in advertising.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

As a Senior Machine Learning Engineer, you will design and implement ML applications, optimize models, and collaborate in an Agile environment to solve business challenges using machine learning techniques.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

Lead the development and deployment of AI and machine learning models, mentor junior data scientists, and collaborate with cross-functional teams to align solutions with business goals.

Assist in developing AI technologies by implementing algorithms, building systems, debugging software, and participating in testing sessions. Collaborate with teams on project goals and documentation.

Lead and mentor a team of ML engineers in defining technical roadmaps and building ML systems for chip design, focusing on state-of-the-art techniques.

The Senior ML Engineer for Perception will manage the end-to-end pipeline of ML perception models, focusing on design, optimization, and deployment for real-time applications in vehicles.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

Lead machine learning projects from conception to production, enhance ranking systems, mentor team members, and implement high-performance distributed systems.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

The Lead Machine Learning Engineer will design, develop, and deploy AI software components, collaborate with cross-functional teams, and enhance machine learning models and infrastructure.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

Lead innovation in machine learning recommendations, mentor engineers, and collaborate with teams to enhance user experiences on Pinterest. Oversee large-scale ML systems and deliver strategic results.

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

As an Open-Source Machine Learning Engineer, you'll improve the ML ecosystem using existing libraries and engage with the community, enhancing accessibility to AI tools.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.

As a Senior AI Engineer, you'll develop and deploy innovative AI solutions for the fashion industry, collaborate with cross-functional teams, and refine machine learning models to enhance product offerings.

As an Applied Machine Learning Engineer, you'll design and optimize LLM models and pipelines, improve permitting workflows, and manage the ML lifecycle.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

The Staff Machine Learning Engineer will apply advanced ML techniques to enhance automation and productivity at Coinbase, mentoring junior engineers and managing projects.