Top Machine Learning Jobs

Train personalized ML models, create synthetic data pipelines, evaluate model quality, and develop safeguards for AI privacy and misuse.

The Principal AI/Machine Learning Engineer will lead the adoption of AI/ML in manufacturing by defining use cases, driving implementation, and ensuring organizational readiness.

The Machine Learning Engineer role at Patreon involves developing machine learning models, analyzing data, collaborating across teams, and deploying solutions to enhance creator support.

The role involves developing advanced ML models for scene understanding and managing the end-to-end ML pipeline from data gathering to deployment.

Design, train, and deploy machine learning models for detecting malicious content, working with large datasets and collaborating with teams to enhance system scalability.

Develop and implement large-scale machine learning models to enhance user ad predictions and better understand user interests through data mining and collaboration with product teams.

Lead the development of pricing algorithms for vehicle valuation at CarMax, managing a team of data scientists to implement strategies and maintain optimal pricing models.

As a Staff Machine Learning Engineer, you'll lead AI product development, leveraging LLMs and embeddings, collaborating on technical strategy and coding performance enhancements.

As a Quantitative Research Intern, you will research and develop autonomous trading strategies using AI and machine learning on large datasets, collaborating with experts in the field.

Lead and mentor a machine learning team, develop and deploy ML solutions, and ensure high-quality execution aligned with business goals.

Lead the Applied ML team's experimentation efforts, mentoring scientists and engineers to improve AI-driven methodologies and collaboration across various product areas.

Design and deploy machine learning models to estimate weather conditions using camera, lidar, and radar data. Collaborate with teams to address weather-related needs and build evaluation systems for rapid deployment.

As a Staff Machine Learning Engineer, you will optimize Quora's ad products by applying machine learning algorithms, taking ownership of systems, and collaborating across teams.

As Director of AI/ML, lead the ML organization, set technical vision, mentor a high-performing team, and contribute to model development and production deployment.

As a Machine Learning Engineer, you'll develop and ship models for an AI platform, own projects from start to finish, and work closely with customers to enhance product features.

The AI Enterprise Engineer will work with enterprise customers to define model specifications, analyze agent behavior, and benchmark models using Bespoke Labs tools, requiring a strong foundation in AI/ML and production deployment.

The Machine Learning Engineer will develop intelligent features to enhance code security using LLMs, collaborate with researchers, and manage ML models on AWS.

Lead the development and implementation of machine learning solutions, providing strategic direction and fostering an innovative engineering culture. Ensure alignment with business objectives and deliver impactful models.

As an Applied Scientist II, you will work with cross-functional teams on projects that optimize software systems and improve ML components, while analyzing inefficiencies and proposing solutions.

Design and implement agent architectures, build LLM powered services, optimize infrastructure, ensure safety protocols, and collaborate across teams.

Build and enhance ML systems for custom model training, oversee projects from data intake to model delivery, ensure model quality at scale, create evaluation frameworks, and collaborate with engineers.

As a Machine Learning Researcher, you will research and experiment with new architectures, optimize models, and validate findings through rigorous experiments, enhancing AI models for clients.

The ML Researcher / Modeling Quant will design, train, and optimize ML models for trading strategies, ensuring efficient production and integration with trading operations. The role emphasizes teamwork and rapid prototyping under real trading constraints.

Implement and optimize production-ready analytics code, maintain Python repositories, research data sources, build predictive models, and collaborate with teams.

The Machine Learning Engineer will design and develop ML systems, implement algorithms, and improve product performance. They will work with data to build efficient self-learning applications.