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.

RN, Registered Nurse - Acute MedSurgical B

Company: Christus Health

Location: San Antonio, TX

Posted Jul 13, 2025

Continues to develop the ability to cope with and manage contingencies of clinical nursing. RN License in state of employment or compact.

Director of Nursing Training Program

Company: Belmont Village Senior Living Corporate

Location: San Jose, CA

Posted Jul 13, 2025

Must hold an active current LVN, LPN or RN Nursing license in applicable state(s). Participants are expected to actively drive their own learning, seek out…

Sales Professional

Company: Mattress Firm

Location: Sunnyvale, CA

Posted Jul 13, 2025

Leverage social media to positively impact brand awareness and increase sales. Provide technical and product knowledge information to customers and serve as…

Precision Frame Welder -2nd Shift

Company: Sanmina-SCI

Location: Fremont, CA

Posted Jul 12, 2025

Must be proficient with the use of measuring tools & validating own work to print specifications. Read, interpret and follow basic blueprints, diagrams,…

Lead Tax Accountant (Hybrid)

Company: Dexcom

Location: San Diego, CA

Posted Jul 13, 2025

Support the preparation and review all federal, state, and local income filings along with quarterly estimated payments in advance of all due dates.

Janitor

Company: Buffalo Wild Wings

Location: San Jose, CA

Posted Jul 12, 2025

You will be responsible for maintaining cleanliness, ensuring that we make a great impression with every guest. Shift meal discount and family dining discount*.

CNC Machine Operator

Company: Pacer Staffing

Location: San Diego, CA

Posted Jul 12, 2025

Hand tools, manufacturing machinery and equipment. Experience in manufacturing environments (preferred). CNC programming: 4 years (Preferred).

Housekeeping/EVS Tech - Encinitas

Company: Scripps Health

Location: Encinitas, CA

Posted Jul 12, 2025

The housekeeping team performs job functions to support environmental care: (patient care area cleaning, non-patient care area cleaning, linen service, waste…

Local City Driver

Company: Saia Inc.

Location: Vernon, CA

Posted Jul 12, 2025

Class A commercial driver's license. 1+ years of tractor trailer driving experience. Safe motor vehicle report and applicable endorsements, including hazmat,…

Community Relations Sales Assistant

Company: Belmont Village Los Gatos

Location: San Jose, CA

Posted Jul 13, 2025

As a Community Relations Sales Assistant with Belmont Village Senior Living, you will provide the Community Relations Sales team with administrative support…

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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