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.

Outpatient Staff Pharmacist

Company: UC San Diego Health

Location: San Diego, CA

Posted Sep 01, 2025

Demonstrate knowledge of pharmacy state and federal regulations; interpersonal and customer service skills; supervisory skills to include workload management;…

Solutions Architect, DGX Cloud

Company: NVIDIA

Location: Santa Clara, CA

Posted Sep 01, 2025

Provide technical education and facilitate field product feedback to improve DGX Cloud. Linux-based configuration management and monitoring solutions, system…

Retail Sales Associate

Company: Verizon

Location: Los Angeles, CA

Posted Sep 01, 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…

Graphic Designer , Machine Operator

Company: Print Press Packaging

Location: Los Angeles, CA

Posted Sep 01, 2025

Work with web design tools such as Figma, Sketch, HTML, CSS, and WordPress to enhance user interface (UI) design. Los Angeles, CA 90013 (Required).

Registry Data Systems Analyst- Remote

Company: UC San Diego Health

Location: San Diego, CA

Posted Sep 01, 2025

Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.

CNC Machine Operator

Company: Aerotek

Location: North Hollywood, CA

Posted Sep 01, 2025

Aerotek Skilled-Trades Division is seeking CNC MACHINE OPERATOR to perform CNC machine operation on various manufactured components in the Aerospace…

Business Process & Data Analyst - Contract

Company: UC San Diego

Location: San Diego, CA

Posted Sep 01, 2025

Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.

Marketing Analyst

Company: jacobyandmeyerscareers

Location: Los Angeles, CA

Posted Sep 01, 2025

Monitor and track incoming leads across all platforms, ensuring they meet firm case criteria. Knowledge of digital marketing tools and strategies (SEO, paid…

Optical Sales Representative

Company: E&S Management LLC dba Stanton Optical

Location: San Antonio, TX

Posted Sep 02, 2025

Participating in continuing education practices such as role plays, training courses, and reviewing Company Communications on the Franchise Field Inform on a…

Marketing Associate - Remote Work

Company: BairesDev

Location: Los Angeles, CA

Posted Sep 02, 2025

The Marketing Associate at the VC fund will manage the fund's marketing initiatives, including social media, events, and PR, to enhance brand visibility and…

Sr. Custodian - TP128773

Company: UC San Diego

Location: San Diego, CA

Posted Sep 01, 2025

Under supervision, performs semi-skilled and skilled cleaning of College Residences /Dining Halls facilities, meeting rooms, study rooms, laundry facilities,…

Sous Chef

Company: UC San Diego

Location: San Diego, CA

Posted Sep 01, 2025

Decision-making, reasoning, ability to develop original ideas to solve problems, operations analysis, and quality control analysis. Days, 8 hrs/day, Variable.

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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