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.

Operations & Reporting Coordinator - Talent Acquisition

Company: The Wonderful Company

Location: Los Angeles, CA

Posted Feb 03, 2025

The Wonderful Company is seeking an Operations & Reporting Coordinator to join their Talent Acquisition team. The role involves optimizing recruitment processes, managing Applicant Tracking System (ATS) operations, and providing data-driven insights through detailed reporting and analytics. The company fosters a collaborative workforce that encourages an entrepreneurial spirit and openness to change. The ideal candidate should have 2+ years of experience in a recruiting coordinator, analyst, administrative, or related role with a strong emphasis on ATS management and reporting. They should be proficient with ATS platforms, preferably SmartRecruiters, and have advanced Excel, Word, and PowerPoint skills. The company offers a competitive pay range, comprehensive benefits, and opportunities for career advancement and learning development.

Assistant Management

Company:

Location: Pacheco, CA

Posted Feb 03, 2025

SerDes Micro Architect

Company: Apple

Location: San Diego, CA

Posted Feb 03, 2025

E-Commerce Manager - Kohler Ventures

Company:

Location: Palo Alto, CA

Posted Feb 03, 2025

Legal Counsel

Company: Checkout.com

Location: San Francisco, CA

Posted Feb 03, 2025

Checkout.com, a leading global payments platform, is seeking a Legal Counsel with a strong commercial background to join their team in San Francisco. The role involves drafting, reviewing, and negotiating various commercial agreements, resolving legal issues, and advising on commercial legal issues and risks. The ideal candidate should be admitted to practice in California or New York with 3-7 years of experience, preferably in FinTech, payments software, ecommerce, or banking. They should have excellent time management skills, strong communication skills, and the ability to work autonomously and collaboratively. The company offers competitive salaries, comprehensive benefits, and a supportive work environment that values diversity and inclusion.

Display Optical Engineer

Company: Apple

Location: Cupertino, CA

Posted Feb 03, 2025

(USA) Software Engineer III

Company: Walmart

Location: Sunnyvale, CA

Posted Feb 03, 2025

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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