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 Lathe Operator/Setup Machinist 2, 2nd and/or Weekend Shifts

Company: Permaswage

Location: Gardena, CA

Posted Mar 25, 2025

Perform inspection tasks of intermediate complexity interacting with drawings and more advanced inspection tools. Typically, 2-4 years of experience.

Accountant III / Sr. Accountant (Bilingual Korean Required)

Company: Lotte Chemical CA, Inc.

Location: La Palma, CA

Posted Mar 25, 2025

Valid driver’s license (required for business trips). Professional accounting training or certification is a plus. Monitor fixed and lease asset management.

RN Clinical (Cardiac) - Surgery

Company: Keck Medical Center of USC

Location: Los Angeles, CA

Posted Mar 28, 2025

OBSERVES REGULATORY AGENCY REQUIREMENTS: National Patient Safety Goals Patient identifiers Unapproved abbreviations Universal Protocol (Procedural Time Out)…

Bioinformatician/Research Data Analyst 1

Company: Stanford University

Location: Stanford, CA

Posted Mar 26, 2025

The lab integrates cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics and early phase clinical trials.

Yard Goat/ Yard Spotter

Company: Key Container Company

Location: South Gate, CA

Posted Mar 26, 2025

_Do not apply unless you have an active Class A license _. Maintain three (3) years of clean driving record. Six months to one year spotter or driver experience…

Preschool Teacher (North Central San Antonio)

Company: Country Home Learning Center

Location: San Antonio, TX

Posted Mar 31, 2025

Child development knowledge and experience to support children's advancement in the following areas: sensory play, gross and fine motor skills, language…

Door Welder JM2

Company: SOUTHCOAST WELDING

Location: Chula Vista, CA

Posted Mar 26, 2025

Welder JM2 must possess trade specific tools. For E-verify and contract security purposes, all employees MUST present a valid export document.

Preschool Teacher (Leon Valley)

Company: Country Home Learning Center

Location: San Antonio, TX

Posted Mar 31, 2025

Child development knowledge and experience to support children's advancement in the following areas: sensory play, gross and fine motor skills, language…

Welder Operator I

Company: Veridiam

Location: El Cajon, CA

Posted Mar 28, 2025

Citizens, lawful permanent residents of the United States and properly licensed foreign persons. Applicants receiving a conditional offer of employment will be…

Custodial Supervisor - Fitness Centers

Company: Diversified Building Services

Location: Los Angeles, CA

Posted Mar 27, 2025

Identify and address the root causes of operational issues, applying root cause analysis techniques, and ensuring preventive measures are in place to avoid…

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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