Top Machine Learning Jobs

Join Celonis' 12-month Orbit program to consult with customers, prototype AI/ML and LLM-based solutions on the Celonis platform, build data models using SQL and PQL, run proofs-of-concept, present value to senior stakeholders, and collaborate cross-functionally to drive customer value realization.

This internship focuses on researching low-latency ML inference and hardware acceleration, involving project ownership, collaboration with engineers, and presenting findings.

The role involves deploying machine learning to enhance Chewy's advertising solutions, developing models for product ranking and prediction, and collaborating with product leaders. Responsibilities include leading new models, publishing research, mentoring, and driving technical strategies.

Lead WHOOP's strategy for transforming sensor data into real-time intelligence, managing teams, delivering features, and driving technical direction in machine learning and embedded systems.

As a Principal Applied Scientist, you'll define the technical vision for offer optimization and conversion modeling systems, ensuring alignment across teams while overseeing large technical initiatives and contributing to real-world machine learning solutions.

The role involves developing LLM applications for automated silicon design, optimizing models, curating datasets, and collaborating with other experts to integrate LLMs into EDA workflows.

The Machine Learning Engineer will enhance search relevance for an AI-powered platform by optimizing ranking features, developing frameworks for experiments, and analyzing query logs to improve search quality.

Manage a team of ML engineers to build and optimize Affirm's economic decisioning engine using advanced ML techniques. Collaborate across teams, provide technical leadership, and mentor engineers while driving a cohesive long-term ML strategy.

As a Senior Machine Learning Engineer, you'll develop and optimize models for Chewy's Sponsored Ads to enhance product selection and advertising effectiveness. You will collaborate with cross-functional teams, lead model deployment, and publish research to elevate machine learning applications while mentoring junior scientists.

Develop and deploy high-performance quantitative and predictive models for trading, portfolio optimization, and research. Build prototypes and proofs-of-concept, perform model testing and surveillance planning, document model development, and communicate complex methodologies to stakeholders to advance firm analytics and product coverage.

As a Machine Learning Engineer, you will build and deploy models for Snapchat, applying modern ML techniques to solve problems and lead the full ML lifecycle.

As a Staff Machine Learning Engineer, you'll enhance credit products through advanced modeling techniques, data analysis, and ML operations, supporting robust decision-making processes.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

The Staff Machine Learning Engineer will develop machine learning models to enhance advertising strategies, improving relevance, ranking and customer engagement for Chewy's sponsored ads.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

The Senior Machine Learning Engineer designs and develops ML systems, collaborates with teams to meet analytical needs, and optimizes large-scale ML solutions while setting monitoring and best practices.

Lead development, validation, and deployment of statistical and AI/ML models for credit and operational risk. Perform stochastic and spread analysis, oversee model documentation and MDLC compliance, collaborate with auditors and regulators, operationalize models with production teams, and share ML/NLP expertise across teams.

Develop AI strategies and innovative ML solutions for healthcare; design, implement, and deploy advanced models; collaborate across teams and publish research.

Lead the design, development, and deployment of advanced machine learning solutions at Optum Tech, mentoring junior engineers and collaborating across teams.

Contribute to machine learning model design, training, and evaluation for fraud detection. Communicate findings, develop metrics, and support production ML workflows while ensuring compliance and model governance.

Partner with senior data scientists and engineers to explore large datasets, prototype and validate interpretable ML models, support deployment and monitoring, translate business requirements into analytics, build dashboards and visualizations, and adopt best practices for model development, testing, and productionization to support Corporate & Institutional Banking decisions.

Lead EHS data strategy and advanced analytics to identify risks and enable proactive decision-making. Build predictive models, dashboards, and AI/ML solutions (NLP, anomaly detection, forecasting). Partner with EHS, IT, and stakeholders to standardize metrics, ensure data quality, drive adoption, and implement responsible, explainable AI across production and virtual environments.

Lead the development of healthcare data products using machine learning. Design models, collaborate with teams, and mentor others in statistical methods.

Develop and scale machine learning systems to enable AI coaching, collaborate across teams for member insights, and contribute to architectural decisions.

The Director of Data & AI will lead strategies for data engineering, machine learning, and AI integration to enhance operations and automation for rocket manufacturing and launches.