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Senior Software Engineer

ImbueSan Francisco, California, United StatesRemote, Hybrid, Onsite
This job is no longer open

Summary


Much of the work we do at Imbue is effectively pure software engineering. Our perspective is that even machine learning research ends up being about 90% software engineering, so even without any prior machine learning knowledge, there is plenty to contribute as a normal software engineer. Even most of our machine learning research tends towards the software engineering side of the spectrum, as we prefer to automate the types of work that academic researchers typically do (ex: tuning hyperparameters, experimenting with small variations in network architectures, etc).

Example projects


• Create an automated service for iterating on network architectures. Most of the work is in defining and implementing the search space over network (which are, at the end of the day, just code that defines a graph of computations).• Implement new tasks in Avalon and related environments. We are constantly extending our systems to add newer, more complex tasks on which to train more capable agents.• Optimize existing agents and models to make them lower latency and higher throughput.• Develop improved graphing, debugging, and error handling tools to investigate the myriad ways that neural networks and agents fail.

You are


• Very comfortable writing Python.• Familiar with PyTorch and training deep neural networks.• Excited to work on open source code.• Passionate about engineering best practices.• Self-directed and independent.• Excellent at getting things done.

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.• 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 $170,000–$350,000 cash, $10,000–$2,000,000 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.Apply for this job

This job is no longer open

Life at Imbue

imbue started when our founder was working over in poland for a large sportswear brand. poland had a unique fitness culture, especially with the younger generation. he wondered why such a culture didn’t exist here. being a division one athlete & parents who were both olympic level athletes, starting a company in the fitness space was a natural extension of him. this was the beginning of imbue. now with over 35 gym partners & launching in 2 markets, we’re ready to help thousands of people achieve their fitness goals through our products. we want this to be the last gym membership you’ll ever need. purchasing a membership through us grants you unlimited access into any gym, boutique studio or athletic facility within our member network. you might be concerned that it wouldn’t be beneficial for the gym owner, but don’t worry, with our compensation model, gyms get paid much better than competing services & we treat them as they should be treated - partners. how can we make money offering unlimited to members & paying the gyms well? don’t worry with our business model - we’re not at risk of losing money, no matter how many times you visit.
Thrive Here & What We Value* Emphasis on data quality* Generous compensation package (cash and equity)* Support for self-improvement ($20K+ yearly budget)* Positive and intentional team culture* Frequent team events and social activities* Flexible working hours, remote work option* Time and budget for learning and self-improvement* Open source code contributions encouraged* Commitment to training and development of employees* Fast response time to job applications
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