- The Walt Disney Company (Nicasio, CA)
- …allocation. + Familiarity with tools like MLflow, DVC, Weight+Biases, or similar for data and model tracking and versioning. + Solid understanding of security ... Group is seeking a highly skilled Sr ML Ops Engineer to build and maintain the infrastructure powering our...monitoring tools like Prometheus, Grafana, or custom solutions for model drift and data quality checks. +… more
- Walmart (Sunnyvale, CA)
- …efficient scaling and load balancing strategies for ML workloads + Collaborate with data scientists to optimize model serving performance **What you'll bring:** ... **Position Summary ** As a Senior Machine Learning Engineer , you are a technical leader working at...solutions. **What you'll do:** + Design and implement scalable model serving platforms for both batch and real-time inference… more
- CVS Health (Sacramento, CA)
- …Designs and implements scalable and efficient machine learning systems, including data pipelines, preprocessing, feature engineering, and model training, ... Health is seeking a well experienced Staff Machine Learning Engineer to join and technically lead our growing team....analysis. + Advises on the optimization and improvement of data pipelines, model training processes, and infrastructure… more
- Genentech (South San Francisco, CA)
- …or equivalent experience and 4+ years of professional experience in backend or data engineering roles(Senior Software Engineer ) ; 7+ (Principal Software ... love. That's what makes us Roche. Advances in AI, data , and computational sciences are transforming drug discovery and...and optimize workflows. We also work on scaling up model training and inference, evaluating the quality of AI/ML… more
- Amgen (Thousand Oaks, CA)
- …frictionless, enterprise-grade AI developer experience. **Roles & Responsibilities:** + ** Engineer end-to-end ML pipelines** - data ingestion, feature ... ideation** on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness. + **Partner with data scientists to prototype and… more
- Nelnet (Sacramento, CA)
- …environments. * Implement detection mechanisms to identify adversarial AI threats such as model abuse, prompt injection, data poisoning, and model theft. ... where they live, learn, and work. The Cybersecurity AI Engineer at Nelnet plays a critical role in securing...and operations, focusing on protecting machine learning models, LLMs, data pipelines, and associated services from evolving threats. The… more
- LinkedIn (Mountain View, CA)
- …Learning, Online Learning and Serving performance optimizations across billions of user queries. Model Training Infrastructure: As an engineer on the AI Training ... complex models across LLM and Personalization models. As an engineer , you will build compute efficient infra on top...scale (10s of thousands of QPS, multiple terabytes of data , billions of model parameters), agility (experiment… more
- Google (Mountain View, CA)
- …development. + 5 years of experience with ML design and ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine tuning). ... Staff Software Engineer , Google Maps, Machine Learning _corporate_fare_ Google _place_...technical direction. + Experience with ML development lifecycle, including data preprocessing, model training, evaluation, and deployment.… more
- Skyworks (Irvine, CA)
- …creativity, mutual respect, and technical excellence. Responsibilities As a Machine Learning Engineer on the Data Analytics and AI Enablement team, you ... Machine Learning Engineer Apply now " Date:Sep 25, 2025 Location:... data + Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training,… more
- Google (Sunnyvale, CA)
- …project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine ... Senior Staff Software Engineer , Machine Learning, Cloud AI _corporate_fare_ Google _place_...+ Architect and develop highly scalable ML systems, including model training pipelines, serving infrastructure, and data … more