…We're looking for a Staff Machine Learning Engineer to help lead the technical direction of our recommendation systems. This is a hands-on…

…A degree in human factors engineering or psychology, cognitive systems engineering, applied cognitive science, industrial and systems engineering, or a related field, or equivalent…

…Mentor engineers and promote best practices in applied machine learning and system design. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years…

…Experience building AI and machine learning solutions, machine learning operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM…

…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…

…As a Staff Machine Learning Engineer and Tech Lead Manager in Google Display Ads, you will lead the team powering generative retrieval, and LLM…

…to real-world problems at scale. - Experience in building machine learning systems, recommendation engines, or large-scale data pipelines. - Experience with AWS services or…

…From amazon.com to world-class machine learning pipelines, from innovative digital healthcare to no-checkout retail, we push the boundaries of technology in…

…systems and/or machine learning, with a track record of impact in search, recommendations, feeds, or conversational AI. Proven experience as a Principal Engineer…

…This includes AI-powered systems and agent-based workflows that proactively surface risk, recommend interventions, and accelerate customer outcomes. You will set product vision…

…About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals…

…About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals…

…machine learning - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems…

…models for various recommendation & search systems using deep learning, online learning, and optimization methods - Work closely with other scientists, engineers and product managers to…

…We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed networking, and multi-modal…

…a Staff Data Scientist, GTM to provide technical leadership for Snowflake’s next generation of AI & Machine Learning powered GTM decision systems. You will…

…customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by ML, as are the paths that…

…recommendation Comfort partnering closely with engineering and commercial teams under deal-timeline pressure Passion for Anthropic's mission to build safe, transformative AI systems…

…Our service areas span Hardware Fabrication, Electrical Integration, Systems Hardware Development, DVT and Qualification Testing, and Quality Assurance. Our learnings are directly applied to…

…scalable, and production‑ready for advanced machine‑learning workloads. The role requires strong systems and software engineering fundamentals, hands‑on execution, and the ability…

…applications, marketplace systems, recommendation engines, ad-tech platforms, or e-commerce/shopping infrastructures at scale. Solid understanding of core machine learning algorithms, their applications…

…8+ years of experience in machine learning engineering, with a strong focus on large-scale ML systems and recommendation or personalization systems. Expertise in…

…architectures and learning strategies 8+ years of experience applying machine learning and statistical modeling at scale, preferably in ad tech, recommender systems, or web…

…design, or large-scale recommendation/auction systems Strong background in auction theory, mechanism design, optimization, statistics, or machine learning. Ability to apply and implement…

…recommender systems and their evaluation. - Proven ownership of a large-scale production ranking system or a substantial class of quality problems. - Strong machine-learning…