- ManpowerGroup (Dearborn, MI)
- …seeking a Software Engineer to lead and advance our internal Data Science and AI/ ML platform strategy. In this role, you will be part of a dynamic, cross-functional ... machine learning and generative AI applications, as well as creating reusable AI/ ML components. Position Responsibilities * Work closely with Tech Anchor, Product… more
- UKG (Atlanta, GA)
- …a team of 10+ software engineers working on a wide range of AI/ ML /GenAI-driven initiatives. You will be responsible for the end-to-end delivery of AI solutions, ... **Leadership and Mentorship:** Lead, mentor, and develop a team of 10+ AI/ ML software engineers, fostering a culture of growth, collaboration, and technical… more
- Publicis Groupe (New York, NY)
- …challenges to drive business transformation through media. **Overview** As an ML /AI engineer, you'll develop and deploy both GenAI applications and traditional ... ML systems that help media planners, strategists, and analysts...vector search, semantic retrieval, and output optimization + Own ML features end-to-end from requirements gathering and experimentation to… more
- Google (Mountain View, CA)
- …You'll have the opportunity to lead model building and development across diverse ML domains such as time series analysis, planning and reinforcement learning, multi ... role, you will be responsible for end to end ML model training and deployment, working with and mentoring...environments. + Lead the end to end development of ML systems for one or more of planning and… more
- Microsoft Corporation (Redmond, WA)
- …you will define scientific vision and lead the development of both ML and LLM components. This includes designing robust models, driving experimentation, ensuring ... generative AI. You will set the direction on which problems to tackle with ML (eg predictive modeling, anomaly detection, clustering) and how to leverage LLMs to… more
- Meta (Seattle, WA)
- …team, you will be responsible for delivering significant business value through ML innovations and development of State of the Art Ads Recommendation technologies. ... You will work with Infra and ML Ranking teams of experienced ML engineers, product managers, data scientists, and other cross-functional team members to build… more
- DoorDash (San Francisco, CA)
- …their subscription. We are forming a new team that will leverage AI and advanced ML to power decision making in real-time - from personalized sign up promotions to ... Learning Engineer to drive the design and development of large-scale ML /optimization systems to target personalization efforts across the DashPass Subscriber… more
- Meta (Menlo Park, CA)
- …path of multi-GPU distributed training. In other words, nearly every distributed GPU-based ML workload in Meta Production goes through the SW stack the team owns.At ... the high level, the team aims to enable Meta-wide ML products and innovations to leverage our large-scale GPU...around NCCL and PyTorch to improve the full-stack distributed ML reliability and performance (eg Large-Scale GenAI/LLM training) from… more
- Meta (Menlo Park, CA)
- …path of multi-GPU distributed training. In other words, nearly every distributed GPU-based ML workload in Meta Production goes through the SW stack the team owns.At ... the high level, the team aims to enable Meta-wide ML products and innovations to leverage our large-scale GPU...around NCCL and PyTorch to improve the full-stack distributed ML reliability and performance (eg Large-Scale GenAI/LLM training) from… more
- Microsoft Corporation (Redmond, WA)
- …our training of generative models in close collaboration with Maching Learning ( ML ) researchers, software engineers, and domain experts. This is a hands-on technical ... and reliability. + Define technical strategy and architecture for ML pipelines, including data ingestion, feature engineering, model training, evaluation,… more
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