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.

(USA) Coach/Ops Mgr Trainee

Company: Walmart

Location: Ontario, CA

Posted Jan 30, 2025

Senior Events Manager

Company: BlackLine

Location: Los Angeles, CA

Posted Jan 30, 2025

BlackLine is a leading provider of cloud software that automates and controls the entire financial close process. The company is committed to modernizing the finance and accounting function and delivering innovative solutions to empower accounting and finance leaders worldwide. BlackLine is seeking an experienced event manager with 7-10+ years in sponsor and event management, preferably in a B2B SaaS software company. The ideal candidate will have advanced skills in Cvent and/or RainFocus, Excel, PowerPoint, On24, and Wrike. They will partner with internal stakeholders to align on event strategy and goals, manage event budgets, coordinate with vendors, and oversee onsite supervision. BlackLine offers a culture that is kind, open, and accepting, with opportunities for professional development and growth.

Illustration Manager- Disney Publishing

Company:

Location: Glendale, CA

Posted Jan 30, 2025

Senior Security Engineer, Threat Response

Company: Klaviyo

Location: San Francisco, CA

Posted Jan 30, 2025

Klaviyo is seeking a Senior Security Engineer to join their Detection & Response Team. The role involves responding to cyber threats, leading incident response investigations, and automating threat response workflows. The ideal candidate should have 6+ years of hands-on security operations experience in modern cloud environments, experience in log analysis, incident response, and digital forensics, and proficiency in programming languages for automation. Klaviyo values diverse backgrounds and offers a collaborative work environment with competitive benefits.

Senior Site Reliability Engineer - FedRamp

Company: BlackLine

Location: Los Angeles, CA

Posted Jan 30, 2025

BlackLine is a leading provider of cloud software that automates and controls the entire financial close process. They are committed to modernizing the finance and accounting function and delivering innovative solutions. They are looking for a self-driven, detail-oriented, and passionate engineer to join their Data Engineering team. The role involves developing cloud-based data platforms and services, leveraging Google Cloud Platform and open-source technologies. The ideal candidate should have a degree in computer science, 5+ years of data engineering experience, and expertise in ETL, big data technologies, and Agile software development processes.

Immediately Hiring - Assistant Station Manager

Company:

Location: Corte Madera, CA

Posted Jan 30, 2025

Machine Learning Engineer

Company: Atlassian

Location: San Francisco, CA

Posted Jan 30, 2025

Atlassian is seeking a Machine Learning Engineer to join their Core Machine Learning team in Mountain View, CA. The role involves developing and implementing cutting-edge machine learning algorithms, collaborating with business engineering and analytics teams, and building large-scale recommendation systems. The team works cross-functionally with stakeholders in various departments, providing machine learning infrastructure and modeling applications. The ideal candidate should have a Master's or PhD in a quantitative subject, 3+ years of experience in machine learning, expertise in Python, and familiarity with SQL and cloud data environments. Atlassian offers competitive compensation and a variety of perks and benefits.

Presales Solutions Architect

Company: Moveworks

Location: San Francisco, CA

Posted Jan 30, 2025

Moveworks is a leading AI copilot for business applications, offering a universal platform for search and automation across various systems. The company, founded in 2016, has raised $315 million in funding and is valued at $21 billion. Moveworks is trusted by major brands like Databricks, Broadcom, and Palo Alto Networks. The company is seeking a Presales Solutions Architect with over 6 years of experience in presales and customer-facing technical roles. The role involves collaborating with sales and presales engineering teams, building innovative solutions, and leading cross-functional projects to secure enterprise-level clients.

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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