Top Machine Learning Jobs

Conduct ML and deep learning research to build, test, and deploy predictive models for trading. Collaborate with traders, researchers, and engineers to engineer features, preprocess data, prototype algorithms, and improve production research tooling to enhance trading performance.

Lead development and deployment of ML models for trading, drive research and prototyping, oversee data and feature engineering, mentor researchers, and build scalable ML research infrastructure.

The Senior Machine Learning Engineer will architect the ML infrastructure, productionize models, maintain data platforms, and ensure system health, collaborating closely with data scientists and data engineers.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

As an Applied Machine Learning Engineer, you will develop AI and ML models to improve healthcare outcomes. Collaborate with teams to implement and optimize machine learning techniques and algorithms.

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.

Develop and optimize machine learning models for fraud detection. Collaborate on model deployment and conduct experiments, ensuring data quality and driving innovation in digital trust.

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

The Machine Learning Engineer will develop, implement, and maintain machine learning applications, collaborating with teams to solve complex problems and optimize ML infrastructure and performance.

As a Robotics ML Research Engineer, you will develop algorithms for robot manipulation, lead software infrastructure, and innovate in robotics learning research.

Develop core AI technologies for robotics, focusing on advanced learning algorithms, simulations, data collection, and staying updated on ML and robotics advancements.

Lead the design and operation of analytical and machine-learning systems, define AI/ML strategy, and ensure model reliability and compliance in production.

Transform foundational research into scalable systems and algorithms, implement efficient learning methods and optimize high-performance data pipelines.

Lead the design and implementation of machine learning applications, collaborate with cross-functional teams, optimize ML systems, and ensure responsible AI practices.

As a Senior Machine Learning Engineer, you will develop machine learning models, automate data pipelines, and collaborate with teams to meet customer needs.

Lead Visa's North America Analytics team to develop machine learning models for fraud prevention, ensuring high-quality outputs and strong customer relationships. Manage, coach, and create processes for team effectiveness while consulting directly with customers to implement analytics and risk strategies.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.

Develop and apply machine learning models using data from HPC simulations, focusing on plasma and electromagnetic simulations in the semiconductor industry.

You will lead technical strategy and engineering for ML-powered messaging features at Airbnb, integrating solutions and collaborating with teams to enhance user communication. Responsibilities include system design, mentoring, and establishing engineering standards.

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.

Engineer III, Machine Learning develops ADAS driving models using reinforcement learning and multimodal data. Collaborates with cross-functional teams for model training and evaluation.

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.

Design, build, and deploy scalable ML systems in healthcare, mentor junior engineers, and collaborate with cross-functional teams to solve clinical challenges.

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.

The Staff Machine Learning Engineer will lead AI initiatives, architect LLM systems, design evaluation frameworks, and mentor engineers.