AI Engineer

About Fathom: We think it’s insane that so many people and businesses rely on notes to remember and share insights from their meetings. Notes are time-consuming and stressful to create while trying to hold a conversation. Even when done well, notes are a poor solution compared to hearing something first-hand. 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: 🥇 #1 Highest Satisfaction Product of 2024 on G2 🔥 #1 Rated on G2 with 1,900+ reviews and a perfect 5/5 rating 🥇 #1 Product of the Day and #2 AI Product of the Year 🚀 Most installed AI meeting assistant on both the Zoom and HubSpot marketplaces 📈 We’re hitting usage and revenue records every week We're growing incredibly quickly, so we're looking to grow our small but mighty team. 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 LLMs sand 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. Explored some of the most interesting datasets held privately today. By 90 Days, you will have Prototyped new AI features that address valuable use cases. Fine-tuned models that exceed general frontier models for our specific needs. Developed new processes to speed-up how we migrate to new AI models. Show off in your application! (Important) 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. Explored fine-tuning LLMs — you’ve built some interesting datasets that you’ve tuned models with and produced benchmarks that you find truly interesting. Proficient in Python and able to hack together end-to-end prototypes. Foundational analytics (able to manipulate data in Python or SQL). 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 Nice to Have: Previous experience in ML or NLP. What You'll Get: A career-defining opportunity to work on LLM features at this pivotal time. A chance to work with a dynamic and collaborative team. Competitive compensation and benefits. A supportive environment that encourages innovation and personal growth. Join Us: If you're excited to own the data journey at Fathom and contribute to our mission with your analytical expertise, we would love to hear from you. Apply now to become a key player in our data-driven success story.