Top Machine Learning Jobs

The role involves optimizing machine learning models, developing infrastructure for model life cycles, and collaborating across teams to enhance Nuro's autonomy technology.

Summer ML engineering intern to assist in designing, training, and evaluating models, build RAG systems and data pipelines, perform EDA and research, collaborate cross-functionally, document results, and contribute to testing and QA.

Develop machine learning models and pipelines for fish farms, interacting with databases, conducting data analytics, and building statistical models.

As a Machine Learning Engineer, develop ML models, data pipelines, conduct analytics, and work on image and video inference for fish health and behavior.

The role involves building and deploying machine learning solutions, collaborating with stakeholders, and ensuring production-ready systems, with responsibilities across the ML lifecycle.

As a Senior Machine Learning Engineer on the Perception Mapping team, you'll develop ML models for semantic map detection, integrate them into autonomy systems, and lead technical efforts in model validation and best practices.

Collaborate with engineers and data scientists to develop, evaluate, and deploy ML models and agentic pipelines for search, recommendations, and discovery. Work on experimentation, performance monitoring, documentation, and production-ready systems while gaining hands-on experience in large-scale ML.

Responsible for designing and implementing reinforcement learning algorithms, conducting experiments, and optimizing models for robotic applications, collaborating with multiple teams.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

Lead the development of machine learning models for lending products, manage a data science team, and ensure compliance with regulations.

The Senior Machine Learning Engineer will build and optimize ML systems for CRM marketing, collaborating with cross-functional teams to impact customer engagement and product functionality.

As a Machine Learning Engineer, design and validate ML models, run experiments, collaborate with teams, and produce maintainable code in a clinical context.

The Applied Machine Learning Engineer will build end-to-end ML pipelines, extract insights from data, and optimize systems, primarily using Python and SQL.

The Machine Learning Engineer will develop AI capabilities, improve data processing methods, and focus on machine learning algorithms for data analysis and target detection.

Oversee machine learning projects, build ML pipelines, deploy models, collaborate with teams, mentor engineers, and ensure data quality.

Lead the strategy and development of AI-driven autonomous shopping experiences, optimizing machine learning models and overseeing large datasets.

Lead initiatives in model-based autonomous driving, developing ML-driven behaviors from assisted to autonomous driving, collaborating across teams and mentoring engineers.

The Senior Staff Machine Learning Scientist will drive AI-driven solutions, develop ML frameworks for recommendations, and lead technical direction for personalized customer experiences.

Lead the development and deployment of ML models for personalized consumer experiences, pricing optimization, and fraud detection. Collaborate across teams to drive business impact and mentor others in ML techniques.

As a Sr. AI/ML Engineer III, you will design and implement reinforcement learning algorithms, integrate them into simulation environments, and evaluate their performance. Collaborating with engineering teams, you will ensure the maintainability and transparency of AI components while communicating results and recommendations clearly.

Assist in designing, developing, and deploying machine learning models for creating high-quality 3D assets while collaborating with cross-functional teams.

Partner with a mentor to develop and apply ML methods on large multi-modal biological datasets (omics, imaging, genetics). Prototype, productionize, and deploy models, analyze results, and collaborate with cross-functional scientists over an 11–12 week summer internship.

Citizen Health seeks AI/Machine Learning Engineers to develop AI solutions for healthcare using advanced ML techniques, focusing on rare diseases and patient care. Responsibilities include designing ML models, optimizing LLMs, and ensuring compliance.

As a Machine Learning Research Intern, you will develop and evaluate prediction models for biological impact using large-scale datasets, collaborating closely with the ML team.

The Senior ML Engineer will develop and optimize machine learning solutions for audience intelligence, build production pipelines, and collaborate with cross-functional teams to enhance user engagement and revenue.