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.

Graphic Production Artist - Flex

Company: Hogarth Worldwide

Location: Sunnyvale, CA

Posted Feb 27, 2025

Photoshop expertise, particularly setting up files for web production and adhering to graphic design standards. Support training of newer team members.

Consultant - Analytics

Company: Tredence

Location: San Jose, CA

Posted Feb 22, 2025

Position Requirements: Master’s degree (or foreign equivalent) in Business Analytics, Data Science, or related field, PLUS demonstrable knowledge of: Python; R;…

SMB Account Executive

Company: Benchling

Location: San Francisco, CA

Posted Feb 25, 2025

Benchling, a biotechnology company, is seeking a motivated SMB Account Executive to drive new business and expand their customer base. The role involves pipeline generation, sales forecasting, solution selling, negotiation, account engagement, collaboration, continuous learning, and process management. The ideal candidate should have a life sciences degree, 2-3 years of experience in sales, knowledge of the life sciences industry, strong sales forecasting skills, and experience with diverse personas. Benchling offers a flexible hybrid work arrangement, competitive salary, equity, comprehensive benefits, and opportunities for professional growth.

TikTok Shop - Data Scientist - Shopping Center

Company: TikTok

Location: San Jose, CA

Posted Feb 28, 2025

Join us as we inspire creativity and bring joy to millions of users worldwide…

Corporate Accounting Lead

Company: Canva

Location: Los Angeles, CA

Posted Feb 28, 2025

Canva is seeking a Corporate Accounting Lead to scale and improve their accounting operations. The role involves leading a team, mentoring, strengthening internal controls, introducing automation, driving process improvements, and partnering with cross-functional teams. The ideal candidate should have proven experience in corporate accounting, strong leadership skills, deep expertise in GAAP, SOX compliance, and internal controls. They should also have excellent communication skills and a passion for automation and improving workflows. Canva offers competitive compensation, benefits, and a positive work culture.

Software Engineer, Data Platform (Lead)

Company: Benchling

Location: San Francisco, CA

Posted Mar 01, 2025

Benchling, a leading biotechnology company, is seeking a Senior Software Engineer to design and implement scalable multitenant services and APIs. The role involves end-to-end project ownership, defining technical vision, collaborating with cross-functional teams, and ensuring high availability, performance, and security. The ideal candidate should have at least 8 years of platform experience, strong technical vision, cross-functional partnership skills, and expertise in distributed systems, real-time data technologies, infrastructure management, and database expertise.

Data Scientist

Company: Midland Credit Management

Location: San Diego, CA

Posted Feb 27, 2025

The Data Scientist is also responsible for the score-based valuation of existing collections portfolios at all levels of aggregation and/or the development of…

Software Engineer

Company: Interclypse, Inc.

Location: San Antonio, TX

Posted Feb 26, 2025

This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite…

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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