Machine Learning Jobs in San Francisco, CA

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Looking for Machine Learning jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the San Francisco, CA area.

CNC Machinist

Company: Solar Turbines

Location: Gardena, CA

Posted Jun 24, 2025

Use a variety of hand tools, gauges and dial indicators to install involute cams, yokes, arbors, work piece, etc. High School Diploma, GED or equivalent.

CNC Swiss Screw Machinist (2nd Shift)

Company: ITT Cannon LLC

Location: El Cajon, CA

Posted Jun 22, 2025

High School diploma or GED required; technical training or certification preferred. Ability to read and interpret blueprints and technical drawings.

Preschool Teacher-Multi-Campus

Company: Stratford School

Location: Milpitas, CA

Posted Jun 23, 2025

Each day may look a little different, whether assisting with classroom supervision, supporting instruction, or stepping in as a lead teacher when needed, your…

Animal Facilities Maintenance & Welder Technician

Company: Texas Biomedical Research Institute

Location: San Antonio, TX

Posted Jun 23, 2025

Must have valid driver’s license and meet Texas Biomed driving standards. Skills in operation and use of general carpentry and metal working tools required.

Welder

Company: Nucor Corporation

Location: Los Angeles, CA

Posted Jun 24, 2025

Position and secure parts, using hoists, cranes, wire, and banding machine hand tools. Must possess the ability to work with hand tools.

Data Analyst - Marketing & Sales, Periscope

Company: McKinsey & Company

Location: San Jose, CA

Posted Jun 25, 2025

This entails using application administration tools (combination of proprietary tools), validating raw data quality (develop test cases, battery of QA scripts)…

Tile setter/ Jack of all trades

Company: Southern California Construction and Restoration

Location: San Diego, CA

Posted Jun 24, 2025

\*Must own all your own tools required to work. It’s important for us to have the right person that has experience in multiple skill sets, flexible in learning…

Associate Manager, Brand Marketing

Company: Warner Bros. Discovery

Location: Burbank, CA

Posted Jun 24, 2025

Bachelor’s Degree in business or a related field. Assist in the development and execution of marketing strategies for assigned titles or franchises, under the…

Cutting And Threading Machine Operator

Company: EPS

Location: San Jose, CA

Posted Jun 23, 2025

Use measuring tools (such as tape measures or calipers) to mark where the pipe or metal needs to be cut or threaded. Expected hours: 40 per week.

Plumber

Company: San Diego State University

Location: San Diego, CA

Posted Jun 24, 2025

Knowledge: Work requires thorough knowledge of the methods, materials, tools and equipment used in the plumbing trade; a base knowledge of the operation of…

Child Care Teacher / Floater (Flexible Schedule)

Company: Guardian Angel Child Development Center

Location: San Antonio, TX

Posted Jun 24, 2025

Maintains office services by organizing office operations and procedures; preparing payroll; controlling correspondence; designing filing systems; reviewing and…

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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