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.

Field Gutter Installer

Company: Leaf Home

Location: San Jose, CA

Posted Aug 06, 2025

Must hold an active and valid driver’s license and be able to operate a box truck safely. Must hold active and valid driver’s license and be able to operate a…

Security Officer - Varied - La Jolla

Company: Scripps Health

Location: La Jolla, CA

Posted Aug 06, 2025

The Security Officer supports Scripps Health through the performance of duties which provide a reasonably safe and secure environment for patients, visitors,…

Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training

Company: Annapurna Labs (U.S.) Inc.

Location: Cupertino, CA

Posted Aug 06, 2025

Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations.

Machine Learning - Compiler Engineer II, AWS Neuron, Annapurna Labs

Company: Annapurna Labs (U.S.) Inc.

Location: Cupertino, CA

Posted Aug 06, 2025

As you design and code solutions to help our team drive efficiencies in compiler architecture, you’ll create compiler optimization and verification passes,…

Data Scientist - USDS

Company: TikTok

Location: Los Angeles, CA

Posted Aug 06, 2025

Responsibilities - Partner with product, operations, policy, and engineering teams to scope, design, execute, measure, and improve the impact of US Safety…

CNC Setup Machinist - 1st Shift

Company: 5TH Axis Inc

Location: San Diego, CA

Posted Aug 06, 2025

Perform setups using probes and tool setters, ensuring tools are accurately measured. Interpret mechanical blueprints, parts lists, specifications, and client…

Custodial Laborer

Company: UC San Diego

Location: San Diego, CA

Posted Aug 06, 2025

Required to hold valid driver's license, have a driving record that is in accordance with local policies/procedures, and/or enroll in the California Employer…

Machine Operator II/III - 2nd Shift (Tue-Sat)

Company: CAES

Location: San Diego, CA

Posted Aug 06, 2025

In order to be eligible for this position, you must be a “US Person” under US export laws (or eligible for approval under a U.S. Government export license).

Data Scientist - USDS

Company: TikTok

Location: San Jose, CA

Posted Aug 06, 2025

Responsibilities - Partner with product, operations, policy, and engineering teams to scope, design, execute, measure, and improve the impact of US Safety…

Experienced or Senior Financial Analyst

Company: BOEING

Location: San Antonio, TX

Posted Aug 06, 2025

Industry leading benefits: Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package…

Housekeeping/EVS Tech - Encinitas

Company: Scripps Health

Location: Encinitas, CA

Posted Aug 06, 2025

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

Machine Operator II/III (Tue-Sat)

Company: CAES

Location: San Diego, CA

Posted Aug 06, 2025

In order to be eligible for this position, you must be a “US Person” under US export laws (or eligible for approval under a U.S. Government export license).

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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