Staff Software Engineer Generative AI
Staff Software Engineer Generative AI
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$ 196800 - 278375
1 Vacancy
Job Description
Intrinsic is Alphabets bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI perception and simulation will redefine whats possible for industrial robotics in the near future with software and data at the core.
Our mission is to make industrial robotics intelligent accessible and usable for millions more businesses entrepreneurs and developers. We are a dynamic team of engineers roboticists designers and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.
Role
How your work moves the mission forward
You will lead a greenfield technical area in Intrinsic R&D and your work will be necessary for deploying generative AI workflows externally. This role comes with a broad scope; your technical leadership will be required to identify the critical projects and to deliver them in phases. If successful you will make core contributions underlying many workflows of robot software development at Intrinsic both internal and external.
Your daytoday work may involve planning and developing workflows to:
- Distill and finetune
- finetune rapidly on userprovided examples of a particular type of data
- distill model down to run on a single machine
- Evaluate
- develop scalable tools to measure quality of LLMs
- estimate and reduce cost for serving and finetuning LLMs
- Serve
- explore and implement infrastructure to reduce latency and serving costs
(for example serve Gemma in a GKE cluster or Gemini Nano in a web browser)
You will develop all the above in the context of authoring robotic solutions in a user experience built for people with a wide range of robotics knowledge and software abilities. You will work closely with a subteam within the R&D division but will also frequently collaborate with other engineering product and UX groups within Intrinsic
Skills you will need to be successful
- Proven success launching and iterating on machine learning or AI workflows and tools in production
- including largescale (i.e. distributed/cloud) data processing
- leading large technical projects with multiple stakeholders
- making practical tradeoffs and phased deliverables
- deep knowledge of and experience with the stateoftheart in at least two of the following:
- finetuning (supervised finetuning parameterefficient finetuning e.g. LoRA)
- serving (selfhosted LLMs for low cost and latency token optimization for lower costs)
- evaluating (measure quality of finetuned LLMs).
- PhD in Computer Science or equivalent work experience
Skills that will differentiate your candidacy
- Strong interest in improving the accessibility of robotics especially for automated manufacturing
- General knowledge of (and curiosity about) training and deploying foundation models
- Experience with privacypreserving data processing
- Experience using LLMs for structured content generation
- Experience with token optimization for minimizing compute costs of LLMs
- Startup (or similar) experience building the 0 to 1 in a rapidly changing technical landscape
The US base salary range for this fulltime position is between $196800 $278375 bonus equity benefits. Your recruiter will share more about the specific salary range for your targeted location during the hiring process.
At Intrinsic we dont just accept difference we celebrate it we support it and we thrive on it for the benefit of our employees our products and our community. We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories consistent with legal requirements.
If you have a disability or special need that requires accommodation please contact us at:
Required Experience:
Staff IC
Employment Type
Full-Time
