- Stealth Startup | joinus@hypesafe.ai | Member of Technical Staff | Alamo Square, San Francisco, CA (ONSITE) | VISA sponsorship | Full Time
We have been quietly building a new type of general frontier model since mid 2024. We are reinventing the entire LLM stack for real work, focused on reliability and decision-making. We are well funded with a small and fast moving team previously from OpenAI, Google Brain, Meta and Scale.
What makes us exciting:
- You will be working with a small world-class team at the bleeding edge of AI Research
- You will be using AI to solve real world problems reliably (and get 9s of reliability)
- We are still a small group of AI veterans who are excited to mentor the next generation
Ideal Candidate:
- Has spent a lot of time trying to make LLMs useful and understands their limitations
- Has previously accomplished big things
- 11x coder: Has put in their 11,000 hours coding
- Obsessed with solving real-world problems with AI
- Loves being part of a team
- Thinks working with customers sounds fun
- Obsessed with making LLMs reliable
- Ready to go all-in
Open Roles:
We have roles open for extremely talented software engineers who want to transition into cutting edge AI research engineering
Please include the following in your email:
- Your resume + GitHub + LinkedIn
- What are some of your previous experiences that you feel proud to share?
- What do you think is the biggest bottleneck from LLMs automating more work? (Bonus points: go deeper than just “reliability”)
- If LLMs actually were reliable, which industries would you be the most excited to disrupt?
We have been quietly building a new type of general frontier model since mid 2024. We are reinventing the entire LLM stack for real work, focused on reliability and decision-making. We are well funded with a small and fast moving team previously from OpenAI, Google Brain, Meta and Scale.
Please check out our website: hypesafe.ai
If you are interested, please include the following in your email (to joinus@hypesafe.ai):
- Your resume + GitHub + LinkedIn
- What are some of your previous experiences that you feel proud to share?
- What do you think is the biggest bottleneck from LLMs automating more work? (Bonus points: go deeper than just “reliability”)
- If LLMs actually were reliable, which industries would you be the most excited to disrupt?
- What are you unusually good at? Tell us about something impactful that you made and loved making – feel free to brag a little ( :) ). What challenges/obstacles did you overcome, and how did you choose the solutions or approach you did? In an ideal world, how would you want to apply your unique talents to your next role?
- Tell us about a time you received some tough feedback professionally. What was it? How did you respond to that experience? What did you take away from it?