- Gap Inc. (San Francisco, CA)
- …in designing and executing compensation strategies for a large, distributed retail workforce across geographies and roles. Strong cross-functional collaboration ... with HRBPs, Finance, Talent Acquisition, and Field Leadership to support strategic workforce planning and retention. Partnered with senior leadership to align compensation programs with brand identity and integrate into broader Total Rewards initiatives. Led… more
- UNCF (San Francisco, CA)
- …inception in 1944, UNCF has raised over $6 billion in private support, distributed scholarships to help students attend school, and enabled more than 500,000 ... scholars and low-income students to graduate from UNCF's member historically black colleges and universities (HBCUs) and launch professional careers. UNCF is committed to closing the educational attainment gap by increasing postsecondary access and success for… more
- Google (San Francisco, CA)
- …ideal candidate will have a Bachelor's degree, with extensive expertise in distributed systems and cloud-scale services. This position offers a competitive salary ... and opportunities for growth within a dynamic environment. #J-18808-Ljbffr more
- Goliath Partners Inc. (San Francisco, CA)
- …→ data pipelines → production) Experienced in Python, modern ML frameworks, and distributed systems High‑quality standards but able to move fast and ship iteratively ... Excited about working in a high-ownership, early‑stage startup environment This is a rare opportunity to join a mission‑driven team led by a repeat founder with multiple successful exits. #J-18808-Ljbffr more
- Capital One (San Francisco, CA)
- …projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet ... regulatory needs for the company* Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and… more
- Goodfire (San Francisco, CA)
- …research and engineering boundaries. Expertise in Python, PyTorch or Jax, and distributed systems. Experience deploying and maintaining ML systems at scale. You care ... about understanding how models work internally and using that to make them more reliable and useful in the real world. Preferred qualifications Startup or frontier lab experience in fast-moving teams. Our values Goodfire is looking for individuals who embody… more
- Toma (San Francisco, CA)
- …engineering Strong background in system design, operating systems, and distributed systems Deep expertise with AWS services (ECS/EKS, IAM, VPC, ... S3, RDS) Experience with containerization and orchestration (Docker, Kubernetes) Track record of building and maintaining production ML/LLM infrastructure Experience with observability tools (Prometheus, Grafana, ELK stack) Solid understanding of TypeScript… more
- Hinge Health (San Francisco, CA)
- …assistance Experience mentoring or onboarding junior engineers Familiarity with distributed systems, cloud infrastructure, or scalable architectures Experience with ... healthcare technology or regulated environments Experience with Agile development practices Compensation This position will have an annual salary, plus equity and benefits. The annual salary range for this position is $148,000 - $222,000 , and total… more
- Atlassian (San Francisco, CA)
- …entity. Interviews and onboarding are conducted virtually, a part of being a distributed -first company. This is a remote position. To help our teams work together ... effectively, this role requires you to be located in the Pacific / Mountain timezones. Your future team You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners… more
- The Walt Disney Company (Santa Monica, CA)
- …diffusion models, or other generative image/video models. Experience in distributed training, model parallelism, and deployment of large‑scale generative models. ... Knowledge of techniques such as quantization, distillation, and efficient inference; experience with deploying large ML models in real‑world products. Strong background in conducting experiments, analyzing results, and iterating model improvements. Preferred… more
