Machine Learning Jobs in San Francisco, CA

295,247 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.

Janitorial Overnight

Company: Walmart

Location: San Antonio, TX

Posted Jan 29, 2025

Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates.

Communications Manager, Social & Content

Company: Scale AI

Location: San Francisco, CA

Posted Jan 29, 2025

Scale AI is seeking a Communications Manager for Social and Content to lead and execute social media and owned content strategies. The role involves developing and managing a comprehensive social media strategy, publishing content showcasing Scale AI's technology and industry insights, fostering relationships with followers and influencers, and tracking and reporting on social media and content performance. The ideal candidate should have experience in B2B or enterprise tech communications, strong writing and storytelling skills, and familiarity with analytics tools. The role offers a competitive compensation package, including base salary, equity, and benefits.

Senior Software Engineer - Backend

Company: Pano

Location: San Francisco, CA

Posted Jan 29, 2025

Pano is a climate tech startup specializing in wildfire early detection. They leverage IoT, AI, satellites, and SaaS software to provide real-time fire images to asset owners and first responders. Pano is partnering with major utilities, fire authorities, and government agencies in the USA and Australia. They are seeking a Software Engineer with 5+ years of experience in backend development, proficient in Java and Python, and familiar with SQL RDBMS and ORMs. The ideal candidate should have experience in a fast-paced SaaS environment, be able to troubleshoot complex systems, and communicate effectively within the team.

Lead Software Engineer (Front End, Roku, TV OS, Android TV, Fire TV)

Company: The Walt Disney Company

Location: San Francisco, CA

Posted Jan 29, 2025

Disney Entertainment & ESPN Technology is a dynamic team that reimagines viewing experiences for beloved stories and transforms Disney's media business. They build infrastructure for Disney's media, advertising, and distribution businesses, reaching millions daily through platforms like Disney+, Hulu, and ESPN+. The role involves architecting, developing, and integrating business-critical features, contributing to product designs, and driving technology innovation. The ideal candidate has a Bachelor's degree in Computer Science or related field, 7+ years of hands-on Living Room Device development experience, and expertise in Roku, tvOS, Android TV, Fire TV, or Browser-Based Devices.

Assistant Store Manager

Company: Staples

Location: Granite Bay, CA

Posted Jan 30, 2025

(USA) Prepared Food Lead

Company: Walmart

Location: San Dimas, CA

Posted Jan 30, 2025

Sr Production Engineer

Company: The Walt Disney Company

Location: San Francisco, CA

Posted Jan 29, 2025

Lucasfilm is seeking an experienced infrastructure engineer with fullstack Python development skills to join their Production Software team. The ideal candidate will have a strong background in DevOps, SRE, and infrastructure engineering, with expertise in designing and building AWS infrastructure and cloud-native applications. They should also have 5+ years of broader professional software development experience, with a strong Python skillset and experience with Python web and API frameworks. The role involves enhancing scalability, developing and extending AWS infrastructure, and collaborating with other parts of IS and the broader IT and software development community at Lucasfilm and Disney. The position is considered hybrid, requiring 23 days onsite at a company-designated location and occasional remote work. The hiring range for this position in San Francisco, CA is $152,100 to $203,900 per year.

Retail Sales Specialist

Company: Staples

Location: Petaluma, CA

Posted Jan 30, 2025

Director, Marketing Operations

Company: Udemy

Location: San Francisco, CA

Posted Jan 29, 2025

Udemy is seeking a Director of Marketing Operations to strategize, architect, and manage the marketing infrastructure. The role involves leading inbound pipeline generation, owning and maintaining the marketing database, identifying inefficiencies in workflows, configuring and optimizing the marketing tech stack, and driving closed-loop reporting. The ideal candidate should have 8+ years in marketing operations, proficiency in Marketo, Salesforce, and understanding of GDPR, CANSPAM, and other email privacy laws. Udemy values diversity and inclusion, offering comprehensive benefits including medical, dental, vision, life, AD&D, disability coverage, HSA, commuter benefits, transgender benefits, parental benefits, whole U memberships, learning benefits, retirement benefits, flexible vacation, holidays, and more. The hiring compensation range is $175,000 - $250,000 USD.

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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