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.

Machine Operator Production - Lead Operator

Company: PepsiCo Beverages North America

Location: San Antonio, TX

Posted Jun 05, 2025

Experience with minor mechanical repairs (e.g., jams, using tools, making basic adjustments to equipment, etc.). Ensure package and product quality.

Project Manager

Company: The Shipyard

Location: San Diego, CA

Posted Jun 06, 2025

The Project Manager loves collaborating with partners, inspiring creative solutions, driving progress, evolving processes, and seeks the feeling of getting…

Research Engineer - AI Infrastructure

Company: Applied Intuition

Location: Mountain View, CA

Posted Jun 05, 2025

Create robust benchmarking and continuous evaluation systems to track model progress across diverse, real-world driving distributions.

Machine Operator Production - Lead Operator/ Nights

Company: PepsiCo Beverages North America

Location: San Antonio, TX

Posted Jun 05, 2025

Experience with minor mechanical repairs (e.g., jams, using tools, making basic adjustments to equipment, etc.). Ensure package and product quality.

Aerospace Machine Operator- Driller

Company: Operation Support Inc

Location: Commerce, CA

Posted Jun 05, 2025

Strong mechanical or technical aptitude. Prior experience in a manufacturing or technical role is a plus. Replace drills and maintain basic machine setup.

Countertop Fabricator (Solid Surface)

Company: EJG Custom Carpenter LLC

Location: San Antonio, TX

Posted Jun 06, 2025

Experience working with power tools, table saw, miter saw, etc. Willing to learn how to read and understand cut list and shop drawings to cut and assemble…

Lead SoC Architect, Automotive (R&D Lab)

Company: LG Electronics

Location: Santa Clara, CA

Posted Jun 06, 2025

Familiarity with software-hardware co-design methodologies and tools to optimize performance and efficiency. Familiarity with EDA tools (e.g., Cadence, Synopsys…

Injection Molding Technician

Company: Moldex-Metric, Inc

Location: Culver City, CA

Posted Jun 05, 2025

Follow and enforce safety rules and regulations, housekeeping and good shop practices within the manufacturing area. Must speak English and Spanish.

Software Engineer

Company: ManTech

Location: San Antonio, TX

Posted Jun 05, 2025

Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (…

Software Engineer

Company: ManTech

Location: San Antonio, TX

Posted Jun 05, 2025

Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (…

Pharmacist

Company: Shriners Children's

Location: Pasadena, CA

Posted Jun 06, 2025

In addition, upon hire all employees are eligible for a 403(b) and Roth 403 (b) Retirement Saving Plan with matching contributions of up to 6% after one year of…

Customer Service Advisor

Company: Æ Realty Group

Location: San Antonio, TX

Posted Jun 05, 2025

Humility – We will listen to others, practice mindfulness, have gratitude for what we have, ask for help when we need it, seek feedback from others, and…

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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