ABOUT FATHOM
We created Fathom to eliminate the needless overhead of meetings. Our AI assistant captures, summarizes, and organizes the key moments of your calls, so you and your team can stay fully present without sacrificing context or clarity. From instant, searchable call summaries to seamless CRM updates and team-wide sharing, Fathom transforms meetings from a source of friction into a place for alignment and momentum.
We’re a small company that creates magical experiences through the hard work of focused builders. We try to live our values - Care Deeply, Seek Leverage, Share Ownership, Sustain Urgency, and Be Tenacious - in everything we do, every day.
We started Fathom to rid us all of the tyranny of note-taking, and people seem to really love what we've built so far:
Most installed AI meeting assistant on both the Zoom and HubSpot marketplaces
We’re hitting revenue and usage records every week
We think you’ll be pretty excited about Fathom too if you give it a try. Sign up today (it’s free)!
Role Overview
As an AI Engineer at Fathom, you'll be hands-on with LLMs, prototyping and refining our features. Your work will directly shape our product by generating practical specifications that steer our engineering team towards impactful updates and novel capabilities.
This role is a bit of a hybrid of engineering // analytics // product management // research. It would suit someone already in an AI Engineering role as well as software engineers or data scientists that have gone deep into building AI features.
This role is open to the US only, and does require 3 days per week in-office in San Francisco, California.
What you’ll do
By 30 Days, you will have
Upgraded existing features to be smarter and/or faster by combining your prompt engineering experience with the latest available models.
Improved or created new evaluations for our existing features.
By 90 Days, you will have
Prototyped new AI features that address valuable use cases.
Fine-tuned models for our specific needs.
Developed new processes to speed-up how we migrate to new AI models.
When applying, include a quick demo of something you made with LLMs that you’re really excited about. It should showcase your fit for the role . Include it in any form you’d like (such as a link to a short video or a repo).
REQUIREMENTS
Hard Skills
Experience with prompt engineering – able to prompt LLMs to achieve outstanding and reliable outcomes.
Proficient in Python and able to hack together end-to-end prototypes.
Foundational analytics (able to manipulate data in Python or SQL).
Masters degree in a related field
Previous experience in fine-tuning LLMs is highly desirable.
Soft Skills
Attention to detail, and a high level of scrutiny for impactful applications of LLMs.
Curiosity-driven and pragmatic with a focus on delivering results.
A generalist mindset with the ability to dive deep into a wide range of challenges.
Resilience and an ability to grind through complex problems.
Openness to disagreement and commitment to decisions once made.
Strong collaborative skills, with the ability to explain complex insights in an accessible manner to both technical and non-technical audiences
Independence in managing one’s workload and priorities
The opportunity to shape the foundational software services of a growing company
A role that balances innovation and incremental improvement
A dynamic and collaborative engineering team
Competitive compensation and benefits
A supportive environment that encourages innovation and personal growth
Opportunity for impact. We’re established enough to ship instead of fighting fires and early enough that your work will have a real impact.
Startup experience. You’ll work closely with our CEO, a 2X Founder/CEO with a background in computer science and product design.
We embrace being fully remote. We schedule meetings sparingly and instead heavily use async comms (Slack, Notion, Loom)
You’ll meet the entire team. We think it’s important that you get to meet everyone you’ll be working with.
No bullshit. Ask us anything you like. We’ve never understood why companies pretend they’re something that they’re not in the hiring process - you’re going to find out eventually so we’d rather you know who we are up front so we can both make sure this is a good fit for all involved.
Quick turnaround time. We know you have lots of options so we move fast usually in less than a week from start to finish.
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