Top Machine Learning Jobs

As a Staff Machine Learning Engineer, you'll define technical strategies, design ML models, implement real-time ML pipelines, and deploy systems at scale to enhance Coinbase's operations and user protection.

The Machine Learning Engineer III will enhance Chewy's advertising solutions using ML models for relevance and performance, collaborate with teams, and lead projects from ideas to production.

Lead and mentor a team of data scientists and engineers in delivering personalized machine learning systems, aligning projects with business goals, and promoting best practices.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

Lead the development and deployment of machine learning models for sponsored ads at Chewy. Collaborate with product leaders, mentor junior scientists, and publish research to enhance advertising solutions.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

As a Machine Learning Engineer, you will develop AI/ML systems for robotics and manufacturing, adapt architectures for complex applications, and engage in research contributions.

The Risk Program Senior Associate will identify and enhance machine learning algorithms for fraud detection, collaborating with business teams and utilizing big data for predictive modeling.

As a Sr. Machine Learning Engineer, you will develop and implement models to enhance customer products, manage ML Ops, and oversee data analysis.

As a Machine Learning Engineer, you will analyze complex datasets, develop models, manage ML Ops, and enhance customer products using machine learning techniques.

As a PhD Intern, you will design, develop, and implement software solutions for automated trading systems, collaborating with quantitative researchers.

As a Principal Machine Learning Engineer, you will design and productionize ML models, collaborating with teams to address business challenges using advanced machine learning techniques.

The Senior Machine Learning Engineer will design and deploy AI solutions, mentor team members, and improve machine learning products through collaboration and technical leadership.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

As a Principal Java Engineer, you will design and deploy AI applications, integrate LLM models, develop large scale applications, and troubleshoot complex issues.

The Senior Director will lead teams in developing and evaluating machine learning models, focusing on innovation and collaboration across functions to enhance AI capabilities.

Develop and enhance machine learning models, mentor juniors, maintain standards, and build client relationships while navigating complex situations.

The role involves developing machine learning models to minimize fraud losses, conducting analysis, and collaborating across business units to improve data-driven modeling solutions.

The Staff Machine Learning Engineer will create models for users and advertisers, perform code reviews, and build scalable products while collaborating with internal and external partners.

The role involves developing predictive models, applying machine learning for marketing insights, and executing experiments to evaluate campaign impacts.

As a Machine Learning Engineer II at Klaviyo, you will build and deploy machine learning models, create AI interfaces, and collaborate on high-impact projects, using advanced techniques to enhance product value.

Design and build complex machine learning systems, lead technical capabilities, and provide oversight on multiple machine learning work streams while collaborating on advanced research initiatives.

Lead the Machine Learning Platform team at Coinbase. Responsibilities include managing engineers, collaborating on roadmaps, coaching, and ensuring high system availability.

The role entails driving innovation in machine learning solutions, developing production code, and influencing project design decisions while serving as a subject matter expert.

The ML Engineer will manage the infrastructure for training ML models, optimize performance, and ensure scalability for large datasets in collaboration with research teams.