Top Machine Learning Jobs

The Tech Lead Manager will oversee the applied ML work for Voxel's perception systems, guiding technical direction, managing a team, and ensuring successful model deployment in various customer environments.

The role involves designing and implementing AI and ML solutions for Defense sectors, requiring experience in ML engineering and cloud environments.

Design and build core ML systems for Workday's AI agents, manage the full lifecycle from data strategy to deployment, and collaborate across teams.

The Applied AI Scientist will design and implement ML models to decode brain signals, contribute to data platforms, and ensure interpretable results for medical applications.

Design and develop machine learning solutions, build ML pipelines, apply NLP and deep learning techniques, ensure model reliability, and mentor junior engineers.

The AI/Machine Learning Summer Intern will design and build AI prototypes, applying ML techniques, collaborating with teams, and delivering a working tool and presentation by summer's end.

Lead the design, development, and deployment of foundational ML systems, influence architecture, mentor engineers, and drive strategic initiatives within SailPoint's AI team.

Lead a team of machine learning scientists to develop models and systems for fraud prevention in the online travel industry, enhancing security and innovation.

As a Machine Learning Engineer, you'll define, measure, and improve integrity signals using machine learning methods while innovating new signal frameworks to combat fraud, ensuring real users rely on your solutions.

The role involves developing advanced AI solutions for e-commerce scenarios, designing algorithms, optimizing ML systems, and collaborating cross-functionally to drive innovations that enhance user experience.

The Senior Staff Machine Learning Engineer will lead innovative AI engineering projects and optimize algorithms for e-commerce applications, collaborating across teams to drive significant business impact.

Lead the development of ML models and prototypes for Edge AI/ML, integrate with mixed-signal systems, and optimize deployment. Collaborate with cross-functional teams and mentor engineers while exploring new ML trends and applications.

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.

The Senior Machine Learning Engineer will design innovative machine learning models for drug discovery, leveraging large-scale single-cell datasets and collaborating with ML Scientists to develop optimized models.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

The role involves improving Picture and Audio Quality using Machine Learning, applying advanced techniques to enhance streaming experiences, and collaborating with engineering teams.

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

Lead a team of applied researchers, data scientists, and analysts to develop and deploy machine learning models for fraud detection and compliance. Drive business impact through data-driven solutions while ensuring model performance and collaboration across functions.

The role involves building and deploying ML-driven data products for law enforcement, ensuring production-ready systems and managing data pipelines.

You will design and implement high-performance software while applying machine learning techniques to complex problems in electronic design automation.

The Machine Learning Engineer will design, develop, and implement advanced recommendation systems, collaborating with cross-functional teams to enhance personalization for a global audience.

The role involves developing advanced AI/ML solutions for mission domains, optimizing models, and deploying scalable systems, with a focus on intelligent automation.

As an AI Weather Scientist, you will develop advanced weather forecasting models, utilizing machine learning and numerical methods to enhance climate prediction systems.

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.