AI Jobs in San Francisco

Find top AI jobs in San Francisco across machine learning, generative AI, and data roles. All opportunities are curated and updated hourly from companies hiring nationwide.

Check out 125 new AI opportunities posted on The Homebase

Software Engineer, macOS Core Product - Intl, Non-USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

United States
Maybe global
Remote

Software Engineer, macOS Core Product - Virginia Beach, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability, then design and implement solutions addressing the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

Software Engineer, macOS Core Product - Rialto, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to their customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to gain visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

Software Engineer, macOS Core Product - Waco, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability, and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

Software Engineer, macOS Core Product - South Bend, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

VP of Customer Strategy

New
Top rated
Cresta
Intern
Full-time
Posted

As an AI Quality Assurance Intern, you will execute structured test plans for AI Agent implementations, validate that intents, entities, and workflows trigger correctly, identify behavioral inconsistencies, misclassifications, or hallucinations, review and validate AI-generated suggestions, summaries, and classifications, provide actionable feedback to improve intent models and redaction/PII handling, run bias, redaction, and transcription accuracy checks, spot patterns or emerging issues across test sets, and contribute ideas for improving internal QA processes and tools. You will help ensure that AI systems act as intended, follow correct business logic, and provide accurate and safe outputs to end users.

$30 – $50 / hour
Undisclosed
HOUR

(USD)

United States
Maybe global
Hybrid

Forward Deployed Engineer (FDE), Life Sciences

New
Top rated
OpenAI
Full-time
Full-time
Posted

Design and ship production systems around models, owning integrations, data flows, reliability, and on-call readiness. Lead discovery and scoping from pre-sales through post-sales, including problem framing, constraints, trade-offs, and a delivery plan. Define launch criteria for regulated contexts, outcome metrics, and drive adoption until production impact is proven. Build in sensitive data environments where auditability, validation, and access controls drive architecture decisions. Run evaluation loops that measure model and system quality in life science workflows to drive model and product improvements. Distill production learnings into hardened primitives, reference architectures, and templated workflows that scale across regulated life sciences environments.

$220,000 – $280,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Hybrid

Sr. Director, Sales Development

New
Top rated
Cresta
Intern
Full-time
Posted

As an AI Quality Assurance Intern, you will execute structured test plans for AI Agent implementations, validate that intents, entities, and workflows trigger correctly, identify behavioral inconsistencies, misclassifications, or hallucinations, review and validate AI-generated suggestions, summaries, and classifications, provide actionable feedback to improve intent models and redaction/PII handling, run bias, redaction, and transcription accuracy checks, spot patterns or emerging issues across test sets, and contribute ideas for improving internal QA processes and tools.

$30 – $50 / hour
Undisclosed
HOUR

(USD)

San Francisco or New York
Maybe global
Onsite

Partner Sales Manager, Five9

New
Top rated
Cresta
Intern
Full-time
Posted

As an AI Quality Assurance Intern, you will execute structured test plans for AI Agent implementations, validate that intents, entities, and workflows trigger correctly, identify behavioral inconsistencies, misclassifications, or hallucinations, review and validate AI-generated suggestions, summaries, and classifications, provide actionable feedback to improve intent models and redaction/PII handling, run bias, redaction, and transcription accuracy checks, spot patterns or emerging issues across test sets, and contribute ideas for improving internal QA processes and tools. You will help ensure the AI systems act as intended, follow correct business logic, and provide accurate and safe outputs to end users.

$30 – $50 / hour
Undisclosed
HOUR

(USD)

United States
Maybe global
Hybrid

Full Stack Software Engineer - Enterprise Agents

New
Top rated
OpenAI
Full-time
Full-time
Posted

Own the full product development lifecycle for new platform capabilities and product experiences end-to-end. Collaborate closely with internal customers to understand their problems and implement effective solutions. Work with the research team to share relevant feedback and iterate on applying their latest models.

$255,000 – $405,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Onsite

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[{"question":"What types of AI jobs are available in San Francisco?","answer":"San Francisco offers diverse AI career paths across startups and established tech firms. Common roles include Machine Learning Engineers building algorithms, AI Engineers developing models and infrastructure, and Lead AI/DevOps Engineers managing deployment pipelines. You'll also find specialized positions like AI Training Specialists working with data annotation, Senior People Partners in R&D teams, and Lead Product Designers focused on AI-powered user experiences. The Bay Area stands out with 42% of tech postings being AI-related, representing a significant increase from just 20% in mid-2022. This surge aligns with San Francisco capturing approximately 50% of global AI funding."},{"question":"Are there remote or hybrid AI jobs available in San Francisco?","answer":"San Francisco does offer remote and hybrid AI positions, though recent trends show a shift toward office returns. Remote tech job postings have decreased to 10% in the Bay Area, down from 24% in mid-2022, indicating companies are increasingly valuing in-person collaboration for AI development. This office return coincides with the AI industry surge, as companies set up physical spaces to foster innovation. Many listings explicitly mention hybrid arrangements, giving engineers flexibility while maintaining team cohesion. The trend toward office work is further evidenced by strong AI-driven office leasing activity, with 2.8 million square feet of demand expected to reduce vacancy rates by 2025."},{"question":"What skills are most in demand for AI jobs in San Francisco?","answer":"San Francisco employers prioritize a blend of technical expertise and applied AI capabilities. Python programming tops the requirements list, alongside machine learning frameworks and practical experience building AI systems. Specialized skills in data analytics, cloud infrastructure, and A/B testing methodology are frequently requested. Fintech knowledge proves valuable across financial AI applications, while statistical metrics analysis helps quantify model performance. Robotics experience appeals to automation-focused companies. Beyond technical abilities, employers value software design principles and cross-functional collaboration skills to implement AI at scale. Dashboarding capabilities demonstrate your ability to visualize AI insights for stakeholders across technical and business teams."},{"question":"What is the salary range for AI jobs in San Francisco?","answer":"AI salaries in San Francisco reflect the region's competitive tech market and high cost of living. Mid-level AI designers can expect $160K-$200K annually, while senior AI/ML solutions roles command $140K-$277K. Senior Machine Learning Engineers earn premium compensation in the $200K-$290K range. Several factors influence these figures, including specialized expertise in generative AI or automation, company size and funding stage, and whether the position involves team leadership. Venture-backed AI startups like OpenAI and Anthropic (each with over $1B in funding) often offer competitive packages to attract top talent. Experience level creates significant salary differentiation, with senior positions receiving substantially higher compensation."},{"question":"What experience levels are companies hiring for AI jobs in San Francisco?","answer":"San Francisco AI hiring primarily targets mid-to-senior professionals who can immediately contribute to complex projects. Lead and Senior Machine Learning Engineer positions dominate listings, reflecting the industry's maturity and specialized needs. Companies seek candidates who can deploy AI at scale, mentor junior team members, and collaborate across engineering, product, and business functions. While entry-level positions exist, particularly at larger organizations and for AI Training Specialists, the competitive landscape favors experienced practitioners. Startups with substantial funding like OpenAI and Anthropic particularly value experienced AI talent who can navigate cutting-edge challenges in generative AI, reinforcement learning, and responsible AI deployment."},{"question":"How often are new AI jobs posted in San Francisco?","answer":"San Francisco maintains an exceptionally high AI job posting volume, with Q1 2024 data showing 49.3 AI jobs per 100,000 residents—among the highest per-capita rates nationally. The city currently lists over 6,500 AI positions on major job boards, representing about 7.5% of all San Francisco job listings. This momentum shows no signs of slowing, with projections indicating sustained growth through 2025-2026. The frequency reflects San Francisco's position as the epicenter of AI development, capturing approximately half of global AI funding. New opportunities emerge daily across startups, established tech companies, and industries adopting AI, creating a dynamic job market for machine learning professionals."},{"question":"What is the difference between The Homebase and other job boards?","answer":"The Homebase specializes in curating quality AI positions tailored to San Francisco's unique ecosystem, unlike general boards that list thousands of unfiltered results. While platforms like Indeed offer 6,500+ AI listings including tangential roles like AI Training Operators, The Homebase focuses exclusively on core technical positions requiring substantial AI expertise. Our platform provides granular filtering by skills (Python, machine learning, generative AI), experience level, and compensation ranges specific to Bay Area standards. We emphasize transparency with detailed salary information for senior roles ($140K-$290K) and highlight positions at well-funded AI startups like OpenAI and Anthropic that might get lost on broader platforms."}]