- 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 training and inference fleet through an observable,… more
- DoorDash (San Francisco, CA)
- …logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the AI/ ML to power DoorDash growing ... Merchant and Consumers. You'll be conceptualizing, designing, and evaluating A/ ML solution. You will be expected to demonstrate a...+ Lead with engineering and product leaders to build ML -driven product roadmap. + Own the modeling life cycle… more
- Silvus Technologies (Los Angeles, CA)
- …experts in wireless communications, DSP, networking, and embedded systems to develop ML -driven features that solve real-world problems in dynamic and challenging RF ... insights and develop predictive models. + Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack. + Collaborate… more
- Amazon (San Francisco, CA)
- …foundation models run at production scale. As a Senior Machine Learning Engineer embedded in our science team, you'll be instrumental in transforming cutting-edge ... and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers - Maintain high engineering standards through proper testing,… more
- LinkedIn (Mountain View, CA)
- …performance optimizations across billions of user queries Model Training Infrastructure: As an engineer on the AI Training Infra team, you will play a crucial role ... the process for model training and serving. As an engineer in the team, you will explore and innovate...of model parameters), agility (experiment with hundreds of new ML models per quarter using thousands of features), and… more
- Zscaler (San Jose, CA)
- …and agility with a cloud-first strategy. We're hiring a talented Sr. Staff Machine Learning Engineer to join our growing ML /AI team at Zscaler. The team focuses ... detection. In this role, you'll have the opportunity to work on innovative ML /AI projects that address important cybersecurity challenges. This is a hybrid work… more
- LiveRamp (San Francisco, CA)
- …analytics and AI capabilities, we're looking for a Senior Analytics & Insights Engineer to develop scalable data solutions and intuitive tools that bring insights ... directly to business teams. The Senior Analytics & Insights Engineer plays a critical role in delivering trusted, scalable...decisions - powered by platforms like Vertex AI, BigQuery ML , and Tableau. You will: + Collaborate with data… more
- MongoDB (San Francisco, CA)
- …next-generation, AI-powered applications. **About the Role** We're looking for a Staff Engineer to join our team building the inference platform for embedding models ... Atlas and optimized for developer experience. As a Staff Engineer , you'll be hands-on with design and implementation, while...and model health monitoring + Collaborate with peers across ML , infra, and product teams to define architectural patterns… more
- Meta (Menlo Park, CA)
- **Summary:** Meta is seeking an experienced software engineer to join our Accelerator Solutions & Technologies group, supporting the development of Meta's ... accelerators collective communications software library and optimizing distributed AI/ ML workloads' performance. This is an opportunity to work with a highly skilled… more
- DoorDash (Sunnyvale, CA)
- …engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace ... time series. About the Role As a Machine Learning Engineer , you will have the opportunity to leverage our...our robust data and machine learning infrastructure to develop ML models that impact millions of users across our… more