Imbue logo

Tech Lead - .NET and Machine Learning

Imbue

Job Overview

We are seeking a Tech Lead to join our engineering team in San Francisco, California. This role is ideal for a technical leader who is passionate about coding and mentoring a team of versatile engineers. You will be responsible for guiding team members on their technical projects, from pair programming and code reviews to empowering them to make higher-level decisions. As both an individual contributor and a leader, you will play a key role in shaping our technical strategy.

Key Responsibilities

  • Coding: Engage extensively in coding as part of our technical roadmap.
  • Mentorship: Mentor and pair program with other engineers to help them develop their practical skills.
  • Code Reviews: Perform code reviews and provide feedback to help engineers improve their craft.
  • Best Practices: Help establish best practices and standards in our codebase to enhance the quality of our systems.

Qualifications

  • Proficiency in Python: You should be very proficient with Python.
  • Machine Learning Knowledge: Comfortable with training deep neural networks and familiar with the latest machine learning theory and practice.
  • Passion for Coding: This is a hands-on position, suitable for someone who loves to code.
  • Mentorship Skills: Passionate about people, mentorship, and teaching.

Compensation and Benefits

  • Salary: Competitive salary ranging from €170,000 to €350,000 per year.
  • Equity: Equity options ranging from 0.1% to 2.5%.
  • Benefits: Comprehensive benefits package including medical, vision, and dental insurance, 401(k), and commuter benefits.
  • Professional Development: $20K+ yearly budget for self-improvement, including coaching, courses, and conferences.
  • Team Culture: Participate in a positive, intentional team culture with frequent team events, dinners, and off-sites.

About Us

Imbue is dedicated to building AI systems that can 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.

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).

Benefits
Extracted with AI

  • Medical insurance
  • Vision insurance
  • Dental insurance
  • 401(k)
  • Commuter benefits

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