Top Machine Learning Jobs

The Data Engineer will be responsible for building data pipelines and infrastructure for ML models, analyzing data processing requirements, troubleshooting production issues, and collaborating with different teams at Stanford Health Care. Preferred skills include knowledge of multiple programming languages, resource management, and a collaborative mindset.

The Data Scientist will develop and implement AI and ML models to improve patient care and administrative services. They will collaborate with clinicians and researchers, evaluate healthcare data tools, and ensure the safe application of machine learning algorithms in clinical settings.

Join Talroo as a Principal Machine Learning Scientist to scale and expand high-value business initiatives using cutting-edge AI technologies and A/B testing. Work with a top-tier team to improve job recommendation processes and provide real, measurable revenue impact. Ideal candidate will have a passion for technology and solid background in computer science.

As an AI Research Scientist, you will advance AI/ML algorithms for robotics, integrate solutions into robotic applications, and publish research findings. The role requires collaboration with cross-functional teams and focuses on innovation in AI technologies for autonomous robots.

As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.

The Senior Machine Learning Engineer will develop advanced algorithms for humanoid robotics using imitation learning and reinforcement learning. Responsibilities include designing machine learning models, optimizing training processes, and contributing to team collaborations to push the boundaries of robotics technology.

As a Senior Data Scientist on Walmart's fraud detection team, you will design and implement predictive models using machine learning and data mining techniques. Collaborating with cross-functional teams, you will address fraud risks in products, create data visualizations, and propose insights to optimize operations.

The Senior Machine Learning Engineer will build automated pipelines for AI/ML models, collaborating with data scientists and engineers to deploy solutions. They will lead model deployment, enhance personalization, mentor team members, and conduct experiments to optimize algorithms, while designing reliable distributed systems and maintaining high-performance ETL processes.

The Senior Software Engineer will build systems and tools to enable data scientists in creating machine learning applications, improve frameworks for scalable pipeline development, collaborate with product owners, and mentor junior team members within the C3 AI Platform engineering team.

The Staff AI Scientist will develop and deploy AI and machine learning methods for analyzing large healthcare datasets. Responsibilities include designing algorithms for automation of clinical tasks, statistical analysis to ensure algorithm accuracy, researching new technologies, and collaborating on innovative AI capabilities.

The ML Research Scientist role involves developing and optimizing machine learning techniques for scene retrieval and search, working with large data sets for effective application in autonomous driving systems. Key responsibilities include building efficient ML data pipelines, applying advanced deep retrieval techniques, and collaborating with teams to deploy solutions that enhance the NuroDriver's performance.

As a Senior/Staff ML Research Scientist at Nuro, you will research and develop advanced machine learning techniques to enhance scene retrieval and search capabilities for autonomous driving systems. In this role, you'll create ML data pipelines, collaborate with infrastructure teams, and implement innovative solutions while maintaining a focus on practical applications for real-world impact.

The Senior Machine Learning Engineer will design and develop NLP applications to enhance data analytics software. Responsibilities include creating annotated datasets, implementing cutting-edge technology, developing algorithms, and collaborating with various teams to optimize model performance and efficiency.

The Machine Learning Engineer will design and implement advanced machine learning solutions to automate manual processes and improve data analysis. Responsibilities include developing machine learning models, software specifications, optimizing performance, and collaborating with cross-functional teams for continuous improvement and innovation.

The Machine Learning Engineer will develop and optimize algorithms for Multi-Agent Planning, 3D Reconstruction, and World Model tasks in autonomous driving. Responsibilities include designing path planning algorithms, improving 3D reconstruction, collaborating across teams, conducting performance analysis, and staying updated on research.

As a Machine Learning Engineer at WeRide, you will work on developing and enhancing predictive modeling and anomaly detection within autonomous driving technologies. Collaborating with a team, you will implement active learning strategies and distributed learning algorithms to tackle complex problems and advance mobility solutions.

As a Machine Learning Engineer, you will develop and deploy machine learning models to tackle complex business problems. Responsibilities include collaborating with cross-functional teams, analyzing data, optimizing models, and ensuring production-quality deployments while staying updated on machine learning advancements.