Top Machine Learning Jobs

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.

This role involves developing AI/ML applications, collaborating with teams, managing projects, innovating solutions, and mentoring peers while maintaining data quality and technical expertise.

The Senior Machine Learning Engineer will own the entire ML stack for the Counter Intrusion team, developing innovative solutions, training models, and optimizing algorithms for real-time applications.

Develop and deploy machine learning applications, collaborating with teams to solve business challenges. Create ML solutions, analyze data, and communicate results.

The AI Enterprise Engineer will work with enterprise customers to define model specifications, analyze agent behavior, and benchmark models using Bespoke Labs tools, requiring a strong foundation in AI/ML and production deployment.

As a Principal ML Engineer, you will establish the technical vision for personalization at Launch Potato and drive alignment across ML teams while solving complex challenges and mentoring engineers.

The Principal ML Engineer establishes the technical vision for personalization and designs ML solutions that drive company strategy. Responsibilities include solving ML challenges, leading cross-functional initiatives, and mentoring senior engineers.

Lead the technical vision for personalization at Launch Potato, architecting ML solutions and influencing strategy while mentoring senior engineers.

Lead the technical vision and strategy for personalization at Launch Potato, solving complex ML challenges and mentoring senior engineers.

Lead the development and implementation of machine learning solutions, providing strategic direction and fostering an innovative engineering culture. Ensure alignment with business objectives and deliver impactful models.

The role involves designing and building ML applications, leading teams, and collaborating on data-intensive solutions using various technologies, while ensuring optimal performance and governance of ML systems.

The Senior Manager in ML Engineering will lead design and implementation of ML applications, optimize systems, and collaborate with cross-functional teams for data solutions.

The role involves designing and deploying ML models for domain search, including ranking and personalization, while collaborating with cross-functional teams.

As a Senior Staff Machine Learning Engineer, you'll develop machine learning models and algorithms for advertising platforms, improve ad targeting and engagement, and lead projects across teams.

The Senior Staff Machine Learning Engineer will drive the development of machine learning solutions to enhance customer experience in e-commerce, leveraging data to solve complex problems.

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.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

The Machine Learning Engineer will scale core infrastructure, manage data pipelines and model evaluation, and improve benchmarking systems. Collaborate with teams to enhance AI evaluation methodologies.

The Machine Learning Engineer will develop intelligent features to enhance code security using LLMs, collaborate with researchers, and manage ML models on AWS.

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.

Manage and lead a team in developing machine learning algorithms for driving models. Oversee strategy, technical guidance, performance monitoring, and resource allocation for Offline ML models.

The Principal ML Engineer will define and lead the ML architecture and strategy, solve complex challenges, and mentor engineers across the company.

Seeking an experienced Machine Learning Engineer to design and deploy scalable machine learning and NLP solutions, mentor junior engineers, and collaborate on data-driven projects with cross-functional teams.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.