Founding ML Engineer, Gather
$187.8-237.6k
Equity through stock reward
Video chat and Virtual HQs for distributed teams
Be an early applicant
Video chat and Virtual HQs for distributed teams
21-100 employees
Be an early applicant
$187.8-237.6k
Equity through stock reward
21-100 employees
Company mission
To eliminate the physical barriers to opportunity and connection.
Role
Who you are
- Strong intuition about how large models behave at scale, and the creativity to apply that understanding to novel problems
- Hands-on LLM fine-tuning and debugging experience - especially with fine-tuning frameworks (e.g., TRL, LoRA/QLoRA, Axolotl)
- Intellectual curiosity that drives you to explore new approaches and stay current with rapidly evolving ML research - you should be the first to share new announcements
- Comfort with Python, Typescript, and ML frameworks - with the ability to quickly adopt new tools as needed
- Excitement about working on a small team where your contributions have outsized impact
- Strong debugging and investigation skills; you’re comfortable digging into an ambiguous problem statement and coming up with solutions
- A keen intuition for well-designed software and well-written code
- Intrinsic motivation and the drive to own and solve difficult problems without guidance
- Excellent interpersonal and communication skills, with technical leadership abilities
- An open and growth mindset when giving and receiving feedback
- You are resourceful, have a bias towards action, and love moving fast
- A healthy tolerance for the chaotic balance between Doing Things Right and iterating and shipping quickly
What the job involves
- As a founding ML Engineer, you'll help shape our roadmap rather than follow a predefined one
- You should have a strong intuition about large model behavior and thrive in ambiguous environments where you can rapidly test hypotheses and transform cutting-edge ML research into practical tools
- You'll be pioneering new approaches to fine-tuning models on company-specific data that could fundamentally change how organizations leverage their internal knowledge
- Define and evolve our AI experimentation strategy, with the freedom to pursue promising directions based on your intuition and expertise
- Design and implement novel fine-tuning approaches that leverage Gather's unique internal data, creating models that deeply understand how work happens
- Mentor and inspire other engineers to think creatively about AI applications
- Share learnings through internal demos, documentation, and potentially external publications
- Some experiments we’ve worked on recently:
- Internal ChatGPT (gGPT) powered by RAG over Notion+codebase
- Cross-platform person-scoped context windows, so your IDE knows about your recent Slack and browser context
- “Coworker” internal Q&A Slack bot for internal engineering questions
- “Write a test for this file” VSCode plugin
Our take
Recent years have seen existing virtual communication platforms stress-tested in both professional and social settings and generated a real appetite for innovative new offerings. Gather is one of the exciting startups in the sector, offering a virtual HQ for group meet-ups like events and office meetings.
Gather’s longevity has depended on its ability to offer something substantially more than just a substitute for in-person communication, and the virtual HQ platform means that it can offer both communication and events in a rich and engaging format. To this end, the company has been wise to invest in novel features like spatial audio tech, games, and a highly customizable ‘space’ which allows businesses and events to provide guests with a substantial and branded experience.
The startup has already quietly amassed more than 10 million users across 15 countries. Hybrid working is here to stay, and Gather is well-placed to capitalize on this by keeping the social element of office working alive for those days when staff are working from home.
Steph
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (2 rounds)
Nov 2021
$50m
SERIES B
Mar 2021
$26m
SERIES A
Total funding: $76m
Company benefits
- Work remotely out of a state-of-the-art virtual office!
- Competitive benefits, and meaningful equity
- Comprehensive medical, dental, and vision insurance for employees and their dependents
- 401k and matching program
- Generous PTO policy and mental health days to recharge
- Meal stipend twice a week to keep you nourished
- Remote work, education, and health & wellness stipend
- Support for family planning & gender-affirmation
Company HQ
Remote HQ
Leadership
Phillip Wang
(Co-Founder & CEO)They are a Computer Science graduate from Carnegie Mellon University, previously a Software Engineer Intern at Facebook.
Mohammed Kumail Jaffer
(Co-Founder & CTO)They are a Computer Science graduate from Carnegie Mellon University, previously a Software Engineer at Petuum Inc.
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