Top Machine Learning Jobs

As an AI/ML Engineer, you'll design, develop, and maintain AI solutions, mentor junior engineers, and ensure alignment with business objectives, while leveraging expertise in various AI technologies and programming languages.

The role involves developing LLM-based machine learning models, deploying AI applications, collaborating with stakeholders, mentoring juniors, and ensuring AI solutions' scalability and reliability.

Lead machine learning initiatives at Vetcove, designing, building, and deploying ML models to improve decision-making in veterinary practices. Collaborate with teams to integrate models and establish best practices, while mentoring peers and enhancing real-world outcomes.

Analyze complex challenges and enhance AI infrastructure through advanced machine learning, while mentoring engineers and developing production-grade systems.

As a Senior Machine Learning Engineer, you will design and implement advanced machine learning models and solutions, collaborate with stakeholders, mentor junior engineers, and enhance product capabilities using AI technologies.

The AI/ML Engineer will design, build, and deploy machine learning systems, optimize workloads, and ensure scalability and compliance of the ITMS platform.

Lead the development and deployment of machine learning solutions, mentoring engineers, driving revenue growth through AI-driven insights, and collaborating cross-functionally.

The Software Engineer will design data pipelines, build CI/CD pipelines, evaluate technologies, and optimize machine learning models as part of the ML team.

As a Senior Staff Machine Learning Engineer, you will design and implement infrastructure for AI workloads, collaborate with teams to ensure system performance, and contribute to software engineering best practices while mentoring colleagues.

Lead the development of AI-powered systems at Capital One, collaborating with cross-functional teams to deliver innovative machine learning solutions and optimize data pipelines.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

The Senior Software Engineer, Machine Learning will develop, deploy, and maintain production-ready ML solutions, collaborating with data scientists and business stakeholders to ensure alignment with company goals.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Lead Machine Learning Engineer, you'll design, build, and optimize machine learning models and systems, ensuring high performance and scalability while collaborating with cross-functional teams.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

You will design, train, and evaluate machine learning models for fraud detection, support production workflows, and collaborate with cross-functional teams.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

As a Staff AI/ML Engineer, you will design advanced machine learning algorithms for autonomous driving, mentor teams, and represent GM in publications and conferences.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

As a Senior AI/ML Engineer, you'll build and deploy ML systems for fraud detection, collaborate with teams, and mentor peers while shaping AI/ML practices.

Lead a team of machine learning scientists and engineers to develop scalable ML solutions that enhance business operations and decision-making.

Lead the design, development, and deployment of scalable machine learning solutions to influence business decisions and capabilities, applying advanced ML methods and collaborating with cross-functional teams.

Lead the design, development, and implementation of machine learning applications. Collaborate with teams to solve business problems using ML technologies and ensure high availability of ML systems.

Lead the development of AI/ML systems in robotics and manufacturing, designing ML architectures, and collaborating with cross-functional teams.