Top Machine Learning Jobs

Assist in developing AI and ML solutions, write Python code, support model integration, and participate in agile processes under guidance from senior engineers.

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

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

The Senior Machine Learning Engineer will enhance search relevance in an AI-driven platform, focusing on ranking features, metrics, and collaboration with cross-functional teams to improve answer quality.

The Machine Learning Engineer Senior will design and develop ML algorithms to enhance analytics and decision-making, optimizing model performance, and ensuring reliability and data quality.

Lead innovative machine learning solutions for Chewy's advertising ecosystem, improving product relevance, ranking, and customer engagement through data-driven methodologies.

The Staff Machine Learning Engineer will develop ML models to enhance ad offerings, collaborate on product improvements, and publish research findings.

The role involves developing machine learning models for sponsored ads, improving selection and ranking, and collaborating with product teams to optimize advertising solutions.

The Senior Machine Learning Engineer at Chewy will develop and deploy ML models for sponsored ads, collaborating across teams to optimize advertising strategies. Responsibilities include model ideation, experimentation, and mentoring junior scientists while communicating insights to leadership.

As a Staff Machine Learning Engineer, you will set the technical direction for the Ad Ranking team, design and deploy machine learning solutions, and mentor engineers while driving large cross-team initiatives.

Lead the technical roadmap for the Ad Marketplace, design and optimize machine learning models, and collaborate with teams to meet objectives.

Lead a team to build large-scale machine learning indexing and ranking systems while collaborating with product teams and enhancing team performance.

The role involves designing and deploying machine learning systems for a search platform, focusing on ranking and retrieval while collaborating with cross-functional teams.

As a Staff Machine Learning Engineer, you will develop and maintain ML models for decision-making, optimize pipelines, and collaborate with a diverse engineering team.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

The Principal Machine Learning Engineer will drive technical roadmaps, optimize video recommendation systems, lead technical initiatives, and collaborate on machine learning strategies with cross-functional teams, ensuring scalability and performance.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

Develop and maintain ML solutions for AR/VR/MR products. Translate sensor capabilities into robust ML models, impacting defense technology.

The role focuses on developing data-driven models for optimizing catalyst materials via machine learning and quantum mechanical simulations, collaborating on catalysis research.

The role involves deploying ML models for ads, collaborating with teams to enhance solutions, and mentoring junior scientists, requiring advanced technical and communication skills.

The Research Engineer will develop and benchmark ML algorithms, optimize transformer architectures for edge devices, and collaborate on research projects across teams.

Build and maintain AI-powered, time-aware forecasting and pattern-discovery models for front-office rates trading. Apply statistical learning and time series techniques, productionize ML/AI models, and collaborate with trading, risk, and governance teams to integrate predictive intelligence into business processes.

As a Principal Quantitative Modeler, you will develop econometric and machine learning models for credit risk management, providing insights and solutions across Capital One's business. Responsibilities include partnering with different teams, applying quantitative methods, and delivering clear communication and documentation of modeling processes.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.