Top Machine Learning Jobs
Seeking a Machine Learning Infrastructure Engineer to deploy data-driven models into production for drug discovery and materials science. Responsibilities include optimizing development processes, building validation tools, and ensuring machine learning models run efficiently on various platforms.
Join Warner Bros. Discovery as a Senior Staff Machine Learning Engineer to build a scalable Machine Learning platform for personalized experiences across global brands. Work on training, evaluating, deploying, serving, and monitoring ML models.
We are hiring Senior Machine Learning Engineers to join the ML Platform team. As part of a rapidly growing team, you will own complex systems that will provide a personalized and unique experience for millions of users across over 200 countries for all the WBD brands.
System1 is seeking a Senior Machine Learning Scientist to develop new ML and AI products for a real-time acquisition marketing platform. Responsibilities include algorithm development, software engineering guidance, staying updated on ML trends, and contributing to the wider ML community. Requires 4+ years of hands-on experience with LLMs for text generation, experience with RAG and embedding capabilities, proficiency in Python, and cloud computing experience with AWS and Docker.
Featured Jobs
Grainger Technology Group is seeking a Manager of Applied Machine Learning to build scalable ML models for customer data insights and sales team effectiveness. Responsibilities include building predictive models, deploying ML endpoints, and collaborating with cross-functional teams.
Build systems to detect and address problematic content on Roblox, including predatory behavior and child endangerment. Develop ML models, backend services, and platform features to ensure safety across the platform. Collaborate with product teams to prioritize safety and shape long-term strategies for content safety on Roblox.
Lead teams in driving strategic direction through collaboration with Applied Science, Engineering, and Product leaders. Partner with cross-functional team to deliver AI-powered products, build AI foundation models, engage in high impact applied research, and translate complex work into tangible business goals.
Build, orchestrate, and monitor model pipelines, scaling machine learning algorithms, build and enhance ML engineering platforms, implement ML Ops, write production-ready code, collaborate with teams, participate in scrum calls, research latest technologies.
Design and implement technical features leveraging best practices for technology stack being used. Collaborate with client-facing teams to understand solution context and contribute to technical requirement gathering and analysis. Write production-ready code, write unit tests, participate in scrum calls, and research and evaluate the latest technologies.
Atlassians have flexibility in where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is ...
The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for challenges related to Perception and Object Tracking on urban roads. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team effectiveness through design and code.
The Principal Machine Learning Engineer will be responsible for implementing machine learning features in collaboration with the Data Science and Analytics team. They will ensure the scalability and reliability of production systems and have excellent communication skills to interact with other teams. The ideal candidate will have 10+ years of experience in machine learning and a strong understanding of algorithms, model architectures, and training techniques.
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