Exciting Opportunity Jobs in San Francisco, CA

Entry‑level ML Engineer: $90k–$120k; Mid‑level: $120k–$160k; Senior: $160k–$220k. Growth Product Manager: Entry $80k–$110k; Mid $110k–$140k; Senior $140k–$190k. Lead Front‑end Engineer: $110k–$160k; Senior $160k–$210k.

Machine Learning Engineer: Python, PyTorch/TensorFlow, Kubernetes, AWS SageMaker or GCP AI Platform, and SQL. Certifications: AWS Certified ML – Specialty, Google Professional Data Engineer, CSPO for product roles. Front‑end Lead: React, TypeScript, GraphQL, Jest, and advanced CSS. UX Researcher: Figma, Lookback, usability testing, and HCI coursework.

Yes. Approximately 70% of listings allow full remote work, 20% are hybrid (remote 3 days + office 2 days), and 10% require on‑site presence. Remote roles typically include flexible hours, global collaboration tools, and virtual onboarding.

Typical path for engineers: Associate → Senior → Lead → Principal → Distinguished Engineer. For product managers: Associate → Product Manager → Senior PM → Lead PM → Director of Product. For UX roles: Associate Designer → Designer → Senior Designer → Lead Designer → Head of Design. Each step involves increased ownership, cross‑functional influence, and strategic impact.

AI democratization pushes more teams to adopt no‑code ML tools and edge inference. Edge computing and low‑latency streaming open roles for real‑time analytics specialists. Remote‑first culture expands candidate pools globally. Product analytics, micro‑services, and sustainability‑focused tech are also driving demand for data‑driven and eco‑conscious solutions.