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.

Young Preschool Teacher

Company: SJB Child Development Centers

Location: San Jose, CA

Posted Jul 21, 2025

Effectively communicate with regulatory agents, parents, staff, and community representatives. Update First Aid and CPR certification annually.

Machine Operator

Company: Visby Medical

Location: San Jose, CA

Posted Jul 21, 2025

Report machine issues to machine technicians and manufacturing supervisor. Minimum 5 years of related experience, preferably including highly complex volume…

Toddler Teacher

Company: SJB Child Development Centers

Location: San Jose, CA

Posted Jul 21, 2025

Effectively communicate with regulatory agents, parents, staff, and community representatives. Update First Aid and CPR certification annually.

Machine Operator 2

Company: DOT Metals

Location: San Antonio, TX

Posted Jul 21, 2025

Technical Skills: Use of hand tools, troubleshooting on mechanical equipment, knowledge of hydraulic systems, working knowledge of PLC, AC and DC inverters as…

AM Junior Sous Chef

Company: Flagship Facility Services, Inc.

Location: Menlo Park, CA

Posted Jul 21, 2025

No two days are the same and our Jr. Sous enjoy a work/life balance with a set schedule, weekends off and on-the-job-training for continuing your career in the…

Network Defense and Security Analyst

Company: CACI

Location: San Antonio, TX

Posted Jul 21, 2025

Perform network event correlation and advanced traffic analysis, vulnerability analysis, IDS/IPS sensor maintenance, IDS/IPS database & VPN technical support,…

Preschool Master Teacher

Company: SJB Child Development Centers

Location: San Jose, CA

Posted Jul 21, 2025

Complete, supervise and monitor continual evaluation of each child’s progress using assessments to develop goals and objectives for the child.

Retail Sales Associate

Company: Verizon

Location: San Diego, CA

Posted Jul 21, 2025

Potential to grow your customer base by placing outbound calls and sending text messages to current Verizon customers who are interested in our products and…

Substitute Teacher(Full-Time)

Company: SJB Child Development Centers

Location: San Jose, CA

Posted Jul 21, 2025

Effectively communicate with regulatory agents, parents, staff, and community representatives. Support in designing interest areas to provide choices,…

Construction Landscape Laborer

Company: Landsystems

Location: Encinitas, CA

Posted Jul 21, 2025

Knowledge of concepts, practices and procedures commonly used in the field. Sick Pay in accordance with applicable state or local ordinance.

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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