Role overview
- Location: This role is based 3 days per week out of our San Francisco HQ and is not eligible for full-time remote work.
- Compensation: The annual cash compensation range for this position is $190,000–$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.
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.
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What you'll work on
- Experience applying AI/ML in production environments, especially with LLMs
- Hands-on knowledge of retrieval and search systems, including query understanding, ranking, and relevance optimization
- Familiarity with vector databases and embedding models for AI applications
- Understanding of retrieval architectures and their implementation
- Pragmatic approach to AI. You find the right balance between cutting-edge techniques and scalable, maintainable solutions
What we're looking for
- Prior startup experience (especially 0→1 product)
- Prompt and context engineering skills or experience with LLM fine-tuning
- Background in information retrieval, NLP, or recommendation systems
- Experience implementing feedback loops to improve search quality over time
- Track record of shipping AI features that balance product craftsmanship with technical rigor
How We Work
We've intentionally invested in removing development friction:
- Local development with Vite boots instantly with hot-reload
- CI finishes in about 10 minutes, and commits deploy to production immediately
- We ship quickly and iterate based on customer feedback
We take pride in having an unusually good engineering culture:
- Reasonable working hours
- Weekly team activities and happy hours
- Regular hackathons where we build experimental features
- Work with a world class team from Meta, Uber, and Dropbox
Benefits
- 10-year stock option exercise window
- Flexible Time Off and 16 paid holidays (including company wellness days)
- Best-in-class medical, dental, and vision coverage
- $1,200 annual learning and development stipend
- 16 weeks paid parental leave for all parents, plus $1,500 new-parent perk and flexible return-to-work options