Top Machine Learning Jobs

Design, train, and evaluate machine learning models for various tasks, optimize pipelines for embedded systems, and collaborate on AI solutions.

As a Senior Machine Learning Engineer, you will architect and build scalable ML infrastructure, influence technical direction, mentor engineers, and ensure effective production deployment, collaborating closely with AI teams.

The Senior Staff Machine Learning Engineer will improve Coupang's search and discovery systems using advanced algorithms, addressing bottlenecks, proposing solutions, and leading projects involving personalization and recommendations.

The role involves designing scalable distributed systems using Scala, enhancing feature stores for performance, and collaborating with ML engineers to resolve challenges.

The Machine Learning Engineer will develop secure AI capabilities, collaborate with teams, and build ML systems while evaluating technologies for government sponsors.

In this role, you will design and develop AI and machine learning models, maintain data pipelines, evaluate model performance, and collaborate with cross-functional teams to integrate AI capabilities into web-based applications.

The role involves improving machine learning ranking models, implementing algorithms, and taking full ownership of machine learning systems within Quora's product.

As a Machine Learning Engineer, you'll design and implement detection systems, enhance model efficacy, and analyze datasets to improve email detection against security threats.

As a Lead Machine Learning Engineer, you will operationalize ML models, collaborate with teams, solve complex problems, optimize data pipelines, and implement best practices in ML deployment.

The Machine Learning Scientist will build and integrate ML models, analyze data, design scalable pipelines, and ensure robust model testing.

As an ML Engineering Intern, you'll support the perception and learned-behavior teams, developing code for automation and working with real field data on projects involving model training, optimization, and simulation.

The Senior AI/ML Engineer will build scalable AI systems, work with LLMs, optimize models, and deploy solutions using AWS while ensuring ethical standards.

As an Applied Machine Learning Engineer, you'll design and deploy ML systems for document processing and workflow automation, owning the entire ML lifecycle.

The Head of Machine Learning will manage 9 ML engineers, coordinate projects, contribute to system architecture, and promote team growth. Responsibilities include strategic leadership, project management, and technical mentorship to align ML initiatives with business goals.

As a Senior Machine Learning Scientist, you will develop multimodal foundation models using large-scale single-cell datasets to advance drug discovery, applying deep learning methods and collaborating with biologists and engineers.

As a Staff Machine Learning Engineer at Twilio, you will build and maintain data pipelines and ML infrastructure, ensuring high-quality data and model performance while collaborating with product and security teams.

The ML Engineer will build, deploy, and iterate on ML systems, focusing on classification, human feedback loops, and working with real-world data.

Lead ML projects, guiding technical direction and platform capabilities. Collaborate across teams to deliver production ML systems impacting customers. Advocate for AI-first tools and mentor engineers.

The role involves leading research in probabilistic ML, collaborating with other experts, scaling experimentation, and deploying models. Candidates should have a strong research background and publications in top ML conferences.

As a Senior Machine Learning Engineer at FINNY, you will design, train, and improve ML models for various applications, and work closely with other teams to optimize performance and ensure effective deployment.

Develop and implement machine learning models for evaluating disputes and chargebacks, and create a model orchestration layer. Collaborate on data use for enhanced user experiences.

The role involves developing advanced machine learning algorithms, solving complex optimization problems using reinforcement learning techniques, and leading technical projects while optimizing solutions for operational efficiency.

The Senior Machine Learning Engineer will enhance HP's retrieval systems and recommendation algorithms, focusing on AI-driven user interactions and system performance improvements.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

Join Sajix as a Machine Learning Engineer Trainee to assist in building and deploying ML models for healthcare solutions, collaborating with data scientists, and gaining hands-on experience.