Machine Learning Jobs in San Francisco, CA

294,979 open positions · Updated daily

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.

Sales Consultant- Cavender Grande Ford

Company: Cavender Auto Group

Location: San Antonio, TX

Posted Jul 15, 2025

Valid driver's license and clean driving record. _We are an equal opportunity employer and prohibit discrimination/harassment without regard to race, color,…

Machine Operator

Company: Priority Workforce

Location: Los Angeles, CA

Posted Jul 15, 2025

Communicate effectively with supervisors and fellow operators. Report any safety concerns or incidents promptly. Follow proper storage and handling procedures.

Route Sales Driver

Company: Aramark

Location: Fremont, CA

Posted Jul 15, 2025

? Must possess a valid driver?s license. ? Must be able to obtain DOT license. ? Report on necessary maintenance or repairs needed on the vehicle to management…

Engineering Manager, Machine Learning / Los Angeles On-site / Full-time

Company: Motion Recruitment

Location: Los Angeles, CA

Posted Jul 15, 2025

Background in avatar creation, creative tools, or social gaming ecosystems. 2+ years managing technical teams or leading engineering initiatives.

Solutions Engineer (Remote)

Company: Careers at Drata

Location: San Diego, CA

Posted Jul 15, 2025

Experience running trials and POCs and serving as the technical partner of the prospective customer throughout their evaluation.

RN, Registered Nurse - Acute MedSurgical A

Company: Christus Health

Location: San Antonio, TX

Posted Jul 15, 2025

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

CNC Operator IV, Index Machine

Company: Howmet Aerospace

Location: Torrance, CA

Posted Jul 15, 2025

Our products are also critical components of industrial gas turbines, automobiles, commercial transportation vehicles, and construction and industrial equipment…

Production Operator

Company: Kelly Services

Location: Union City, CA

Posted Jul 15, 2025

In addition, employees are entitled to earn paid sick leave under the applicable state or local plan. Engage in development/review of procedures, documentation,…

RN, Registered Nurse - Alamo Heights Surgery Center

Company: Christus Health

Location: San Antonio, TX

Posted Jul 15, 2025

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

Customer Service Representative (Bilingual)

Company: Community Choice Financial Family of Brands

Location: San Jose, CA

Posted Jul 15, 2025

Valid driver's license, auto insurance, and personal vehicle to use throughout the workday (mileage compensated). Company-Sponsored Life and AD&D Insurance.

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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