Tech Lead

Posted 15 Days Ago
Be an Early Applicant
San Francisco, CA
5-7 Years Experience
Artificial Intelligence • Machine Learning • Other
The Role
The Tech Lead will guide a team of engineers, providing technical mentorship through coding, code reviews, and establishing best practices. This hands-on IC role emphasizes coding expertise, especially in Python and machine learning, to improve the team's skills and technical strategy.
Summary Generated by Built In

Summary

We are looking for a technical leader who can lead a strong team of versatile engineers both through direct guidance and by example. You will provide guidance to team members on their technical projects, from pair programming and code reviews to empowering them to make higher-level decisions. As an IC as well as a leader and mentor, you will play a key role in determining our technical strategy.



What you'll do

Code, a lot, as an IC to our technical roadmap.

Mentor and pair program with other engineers to help them develop their practical skills.

Perform code reviews and provide feedback so that other engineers can continually hone and improve their craft.

Help establish best practices and standards in our codebase to improve the quality of our systems.


You are

Someone who loves to code. This is a hands-on position and is not suitable for those who want to simply oversee projects.

Knowledgable and eager to keep up-to-date with best engineering practices.

Passionate about people, mentorship, and teaching, as a primary responsibility of yours is to help other engineers grow their technical skills.

Very proficient with Python.

Knowledgeable about machine learning. You don’t need to be a world-famous published researcher, but you should be comfortable with training deep neural networks and much of the latest machine learning theory and practice.



Compensation and Benefits

Work directly on creating software with human-like intelligence.

Generous compensation, equity, and benefits.

$20K+ yearly budget for self-improvement: coaching, courses, conferences, etc.

Actively co-create and participate in a positive, intentional team culture.

Spend time learning, reading papers, and deeply understanding prior work.

Frequent team events, dinners, off-sites, and hanging out.

Compensation packages are highly variable based on a variety of factors. If your salary requirements fall outside of the stated range, we still encourage you to apply. The range for this role is $200,000–$450,000 cash, $10,000–$2,500,000 in equity.



How to apply

All submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas.


We try to reply either way within a week or two at most (usually much sooner).


Learn more about our full interview process here.



About us

Imbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world. We train our own foundation models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, we gain insights into improving both the capabilities of the underlying models and the interaction design for agents.


We aim to rekindle the dream of the *personal* computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love.


Top Skills

Python
The Company
San Francisco, CA
20 Employees
Hybrid Workplace
Year Founded: 2021

What We Do

We build AI systems that can reason, in order to enable AI agents that can accomplish larger goals and safely work for us in the real world. To do this, we train foundation models optimized for reasoning. On top of our models, we prototype agents to accelerate our own work, seriously using them in order to shed light on how to improve the underlying model capabilities, as well as the interaction design for agents.

We aim to rekindle the dream of the *personal* computer—for computers to be truly intelligent tools that empower us, giving us freedom, dignity, and agency to do the things we love.

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