DevRel Lead - Restate
Restate is building durable infrastructure for AI agents and backends. We're looking to hire our first DevRel Lead to spread the word and bring Restate to developers.
Founding Applied AI Lead - Paxos Health
Stanford-founded Seed-stage healthcare AI startup with >$5M in VC funding and AI agents deployed in production with customers. You will build/own our agent patterns, prompt chains, structured outputs, evals, etc. for documentation, voice AI, and computer-use agents. You'll sit at the intersection of product, engineering, ops, and AI at a fast-moving startup.
The best description of the job is in our official job posts (please apply there):
- NYC: https://jobs.ashbyhq.com/Pear-VC/489d22ab-558f-4702-975b-e44c4d413205
- Toronto: https://jobs.ashbyhq.com/Pear-VC/2a4a4733-3471-4718-b11e-dea1e70a27bd
Team
We Thought This Would Be a Fun Weekend Activity
Project Concept
Tamagotchi that finds you friends.
Entry
Status: Submitted
Last saved: February 16 at 1:22 PM EST
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Brendan Werth Team Lead RSVP Approved
Solution Analyst at Deloitte
frontend
I am 26 years old, always knew AI and robotics would be the future of work, and although I only began studying CS when I was 20 it came very easy to me. My background before then was mostly art and physics and I love bringing design and theory to my work. I am interested in doing more hackathons and breaking into the start-up scene. I am fascinated by AI's ability to solve advanced both physical and informational problems, and where they intersect possibly into a unified theory of everything. I also am interested in providing useful, ethical, and free products to people. I am inspired by the internet companies of old that provided free scaleable and cutting edge resources.
I am interested in providing any free scalable and free tools for people, as well as low-level AI application coding. They are sort of on the opposite ends of the spectrum but they're simply what interest me the most in this space. I like pushing boundaries and providing limitless freedom to human and AI.
Novel low-level AI algorithms, AI / physical theories, AI audit and compliance, AI Stock Ranking, AI Generated video games
Yogini Borg RSVP Approved
- at Self Employed
visual design
You could call me a "full-stack artist". At the core, I love figuring out how everything comes together and connects. I started in art, went to design and ui/ux, but curiosity has recently pulled me towards AI, data, and business intelligence. I like making things - physical, digital, always weird - with a goal to challenge the limitations of how we think and feel. You used to find me painting, but now I'm on Midjourney.
Looking to connect with people who think like me as well as the opposite. I’m chasing the dream of making a smash hit - something alive and inevitable. The medium doesn’t matter as much as the impact, but I see something in food & beverage or entertainment. I want to create things that make people think, “I didn’t know this existed, but now I need it.” I move fast when I spot a good opportunity and put myself in the middle.
Yogini's Gourmet Test Kitchen | AI art, music, and youtubing | Writing on medium.com/@yogiborg | Webapp for doodling | Learning 中文 rn
Jianing Qi RSVP Approved
Researcher at CUNY
simulation
PhD researcher at CUNY
Focus on Vision, LLM, and RL
AI, vision, GUI agents
RL on LLM to improve reasoning
Matt Rabitsky RSVP Approved
Unemployed Philosopher at ~
backend
fullstack everything-builder with a background in AI and a head big enough to wear multiple hats | AI researcher | occasional philosopher (when I have the time) | I still remember what AI/ML looked like before LLMs took over :)
I'm looking for the next big thing, for impossible problems with impossible solutions, for things that will keep me up at night and have me jumping out of bed to write down notes and new ideas. I'm also looking for a way to make that sound even more pretentious without using buzzwords — buzzwords are cheating.
LLM reasoning strategies | Useful LLMs for low-resource languages
KJ Shi RSVP Approved
Quantitative Researcher at Quantbot
conversation design
KJ is a applied researcher currently working at Quantbot Technologies LP in New York. He holds a Master of Science in Data Science from Columbia University, and has previously worked at Point72 and H2O.ai.
LLM, deep learning, quantitative research, algorithmic trading, AI/ML models, data science, Python programming, statistical modeling
Currently developing AI/ML and quantitative models for algorithmic trading