Top Machine Learning Engineer Jobs

Develop and optimize ML models for ad-serving and search solutions, manage AI/ML projects, and implement best practices in MLOps.

The Lead Machine Learning Engineer will manage AI/ML project lifecycles, collaborate with teams on model optimizations, implement best practices in MLOps, and mentor juniors while ensuring model reliability.

As a Machine Learning Engineer, you will build models and agents to accelerate scientific discovery, collaborating with researchers and developing efficient infrastructure.

The Machine Learning Engineer will manage AI/ML projects on AWS, optimize data systems and databases, and enhance data architecture for predictive insights.

The Machine Learning Engineer will design, build, and deploy ML models for data-driven products, collaborating with teams to optimize pipelines and improve performance.

Develop tools and services for the Anyscale platform, focusing on ML Ops, user interfaces, and critical infrastructure for scalable applications.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

Join Bot Auto to work on AI-driven autonomous technologies, focusing on SLAM systems, localization algorithms, and deep learning for robust perception in self-driving vehicles.

The Machine Learning Engineer will design, build, and operate core recommendation systems, innovating ML/AI solutions, collaborating with a tech team, and driving project ideas based on business needs.

The Staff Machine Learning Engineer will build recommendation systems, lead ML projects, collaborate with teams, and mentor junior engineers, focusing on scalable AI solutions for dating outcomes.

As an Applied Machine Learning Engineer, develop, deploy, and optimize machine learning models while collaborating with cross-functional teams to enhance customer solutions.

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

Design and implement high-performance APIs and microservices using Python and AWS, focusing on generative AI and scalable applications.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As a Senior ML Engineer at Torc, you will develop and maintain ML frameworks, enabling advanced solutions for autonomous vehicles and improving ML platforms.

The Machine Learning Engineer will develop machine learning algorithms for data pattern recognition and anomaly detection, improve automated processing methods, and work on R&D projects involving data from sensors.

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.

The Principal Machine Learning Engineer will lead the design and implementation of ML models and data architectures for HelloData, ensuring production readiness and system scalability while collaborating with product teams.

Lead the development of the Wildfire Fuel Detection Model using ML techniques and geospatial data, collaborating with teams to ensure accuracy and robustness. Mentor engineers and drive architectural decisions.

The Staff Machine Learning Engineer will enhance Quora's recommendation systems, lead machine learning projects, and own end-to-end ML processes.

The role involves leading technical directions for recommendation systems and AI initiatives, driving adoption of AI technologies, and mentoring others in system-level thinking.

Lead the design and implementation of advanced ML systems at Airbnb, mentoring engineers and shaping concepts into impactful products.

The Staff Machine Learning Engineer will lead the development of advanced AI models, collaborate with teams, conduct research, and mentor junior engineers.

The Principal Data Scientist will develop algorithms using extensive datasets to improve vehicle and driver safety, mentor junior data scientists, and communicate complex concepts to stakeholders.

As a Machine Learning Engineer, you will develop and enhance ML methods for 3D object detection and monitor ML systems in production, focusing on real-world applications and optimizing task performance.