AI Product Engineer (San Francisco)

Join to apply for the AI Product Engineer (San Francisco) role at Gem

Join to apply for the AI Product Engineer (San Francisco) role at Gem

Role Details

Location: San Francisco, CA. This role is based out of our San Francisco HQ and is not eligible for full-time remote work.

Compensation: The annual salary range for this position is $150,000–$260,000 based on level in addition to equity & benefits.

The range displayed on this job posting reflects the minimum and maximum compensation. Factors including location, level, job-related knowledge, skills, and experience will determine compensation.

Join Gem and Transform Recruiting with AI

At Gem, we're revolutionizing the recruiting industry with AI-first solutions that help companies find the right talent faster. We're looking for an Applied AI Engineer who's passionate about building practical, impactful AI features while also contributing to our full product stack. This is a chance to apply cutting-edge AI technologies to solve real business problems at a company that thousands of recruiters rely on every day.

About Gem

Gem is the only AI-first all-in-one recruiting platform. Over 1000 industry leaders including Anthropic, Reddit, Figma, Zillow, Robinhood, and Doordash trust Gem to fuel their growth and recognize Gem as one of the highest-satisfaction products on G2 with a 4.8/5.0 rating. The company has raised $148M from renown investors including Accel, Greylock, ICONIQ, Sapphire, and Meritech.

Just As We Strive To Help Our Customers Find Great Talent, We Also Invest In Our Own People And Culture. We Are Proud Of The Culture We’ve Built And Have Recently Been Recognized As

• Forbes America's Best Startup Employers 2024
• Great Place to Work Certified, 2024
• Fortune Best Workplaces for Millennials, 2023
  
  

Role Overview

As An AI Product Engineer At Gem, You'll Build AI Features That Directly Impact How Companies Find And Hire Talent. You'll Work On Challenges Like

• Creating intelligent search and matching systems that surface the perfect candidates from massive talent pools
• Building AI products that help recruiters create engaging messages and identify promising candidates
• Implementing systems that automatically extract insights from candidate profiles
• Designing delightful experiences that make AI accessible and valuable to recruiting teams
  
  

You'll own these features end-to-end, from conceptualization and prototype to production deployment and iteration.

What You'll Do

• Build products powered by LLMs: Design and implement features that integrate AI capabilities into our product, working across the entire stack from backend to frontend
• Develop and optimize intelligent search: Create advanced algorithms for query understanding, result ranking, and candidate recommendations
• Ship rapidly and iterate quickly: Take new AI features from concept to production, gathering user feedback and continuously improving
• Mentor team members: Share AI expertise with colleagues and help establish best practices (depending on experience level)
• Work from our San Francisco office: Collaborate in-person with product managers, designers, and other engineers to create cohesive user experiences
  
  

About You

• You have experience applying AI/ML in production environments, especially with LLMs
• You have hands-on experience with search systems and understand how to optimize relevance and ranking
• You have knowledge of vector databases and embedding models for AI applications
• You're familiar with RAG architectures (Retrieval-Augmented Generation) and their implementation
• You're pragmatic about AI implementation, finding the right balance between cutting-edge techniques and practical solutions
• You're excited about iterative development and continuously improving based on user feedback
• You are energized by collaborating in-office with your peers.
  
  

Bonus Points For

• Prompt and context engineering skills and experience with LLM fine-tuning
• Cross-stack technical versatility with Python, Node, TypeScript, React, and Elasticsearch
• Background in information retrieval, NLP, or recommendation systems
• Feedback loop implementation for improving search quality
• End-to-end product development experience collaborating with product and design teams
• Clear communication skills to explain complex AI concepts to non-technical stakeholders
• Velocity-focused approach with strong ownership from start to finish
• Collaborative mindset and enjoyment working closely with teammates
  
  

Benefits

• Highly competitive salary & equity
• 10-year window to exercise your stock options
• Supportive Flexible Time Off program
• 16 paid holidays, including regular company-wide wellness days
• Best-in-class medical, dental & vision insurance
• $1,200 annual stipend for learning and development opportunities
• 16 weeks of Paid Parental Leave for birthing and non-birthing parents
• New Parent Perks totaling $1,500 and flexibility upon return to work
  
  

Gem is an equal opportunity employer. We celebrate our inclusive work environment and encourage folks of all backgrounds and perspectives to apply. At Gem, we’re committed to having an inclusive and transparent environment where every voice is heard and acknowledged. We embrace our differences, and know that our diverse team is a strength that drives our success.

Gem is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please email us at accommodations@gem.com and we’ll work with you to meet your accessibility needs.

Gem’s Candidate Privacy Notice

By clicking “Submit Application”, you acknowledge and agree that you have read and understand Gem’s Candidate Privacy Statement, including the information provided on how Gem processes your personal data and your related rights as set forth therein.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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