Top Machine Learning Jobs

The Software Engineer will collaborate with researchers to develop and deploy ML models for pricing, handling model operations and challenges.

The AI/ML Engineer will design and deliver scalable ML solutions, improve existing tools, write maintainable code, and collaborate with teams.

The Senior Software Engineer - Machine Learning at Celonis focuses on designing and developing AI/ML product features and customer solutions, ensuring high quality and scalability while collaborating with various teams.

Responsible for designing and developing AI/ML product features and infrastructure to empower intelligent business decisions and operational excellence for customers.

As a Machine Learning Engineer, you'll design, build, and deploy ML applications, collaborate with teams, and optimize models and data pipelines. You'll focus on both model development and ensuring high performance in production environments.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

As a Senior Machine Learning Engineer, you will design, build, and deploy large-scale ML systems to enhance Dropbox's AI features, collaborating with teams and mentoring peers.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

As a Machine Learning Intern, you will work on advanced AI solutions, collaborate with teams to design ML systems, and analyze data to enhance user experiences at Dropbox.

The role involves enhancing developer tools for GM's AV engineers, addressing pain points, and mentoring team members to improve productivity and maintain quality code efficiency.

Lead the technical direction for User Match Prediction, develop models to increase incremental conversions, and manage an ML engineering team while collaborating with several teams to improve Ads performance.

Lead a local AI/ML team, drive AI innovations, mentor team members, and manage projects within the ML development lifecycle using Agile methodology.

The role involves leading AI/ML initiatives, developing machine learning models, collaborating across teams, and operationalizing models in production.

Lead development of machine learning systems for fraud detection, driving strategy, managing initiatives, and collaborating with business and technical partners.

Lead the development and deployment of machine learning models for fraud detection, manage teams, drive AI strategies, and enhance engineering practices.

Join Phonic as a Machine Learning Research Engineer to develop scalable infrastructure for training and deploying audio models, focusing on performance and reliability.

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

The Senior Machine Learning Engineer will design, deploy, and validate ML systems, mentor teams, and integrate models into infrastructure while driving improvements through experimentation.

Chloris Geospatial seeks experienced individuals with diverse skills in areas such as forest carbon, remote sensing, machine learning, and software engineering, to support their mission of fostering a sustainable economy.

The Head of Venmo AI Personalization will define and drive the strategic vision for machine learning at Venmo, overseeing model development and optimizing user personalization and ranking systems while mentoring a world-class team.

The role involves building fraud prediction models using machine learning techniques, collaborating with cross-functional teams, ensuring data integrity, and driving a data-driven culture.

Drive the strategic vision for machine learning initiatives, lead development of ML models, oversee data analysis, deploy ML solutions, and mentor junior staff.

Lead a team of data scientists and ML engineers to build forecasting systems that drive data-driven decision-making for business metrics like revenue and user growth.

Lead research and development of advanced machine learning solutions, optimizing large-scale infrastructure and providing technical guidance on high-impact projects.

Lead a machine learning engineering team to develop data-driven solutions for programmatic advertising, focusing on algorithms for bidding and ad optimization while collaborating across teams.