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Member of Technical Staff, Research Engineer (Finetuning)

Palo Alto, CA

Inflection AI is a public benefit corporation leveraging our world class large language model to build the first AI platform focused on the needs of the enterprise. 

Who we are:

Inflection AI was re-founded in March of 2024 and our leadership team has assembled a team of kind, innovative, and collaborative individuals focused on building enterprise AI solutions. We are an organization passionate about what we are building, enjoy working together and strive to hire people with diverse backgrounds and experience. 

Our first product, Pi, provides an empathetic and conversational chatbot. Pi is a public instance of building from our 350B+ frontier model with our sophisticated fine-tuning (10M+ examples), inference, and orchestration platform. We are now focusing on building new systems that directly support the needs of enterprise customers using this same approach.

Want to work with us? Have questions? Learn more below.

About the Role

 

Member of Technical Staff, Research Engineer (Finetuning)

Inflection has trained state-of-the-art models such as Inflection 2.5, but to make these models appropriate for deployment to our enterprise partners, they require finetuning and alignment. Research engineers collect and curate datasets, experiment with novel finetuning techniques, and evaluate the resulting models to ensure they meet our standards for safety, helpfulness, and reliability in enterprise settings.

This is a good role for you if you:

  • Have worked on finetuning and evaluating LLMs before, either with in-house models or via API.
  • Like working in a fast-paced environment and are comfortable working with fast moving/evolving technical requirements.
  • Are comfortable operating on large compute clusters via tools like Slurm.
  • Have a strong understanding of modern machine learning techniques (transformer architectures, RLHF, DPO, etc.) and are proficient with PyTorch.
  • Knowledge of SQL and data tooling like Snowflake, Dagster, and Airbyte is a bonus, but is not expected.

 

We do not require a specific university degree or years of experience. Instead we’re excited to see what you’ve been building. Please send us examples of your best work, including but not limited to links to open source contributions, personal projects or a cover letter describing past projects that you are proud of.

Employee Pay Disclosures

At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary will fall in the range of approximately $175,000 - $325,000 depending on experience. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range.

 

Benefits

Inflection AI values and supports our team’s mental and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include: 

  • Diverse medical, dental and vision options 
  • 401k matching program 
  • Unlimited paid time off 
  • Parental leave and flexibility for all parents and caregivers
  • Support of country-specific visa needs for international employees living in the Bay Area

Interview Process

Apply: Please apply on Linkedin or our website for a specific role.

Interview: Interviews at Inflection proceed in two stages. When possible, we strive to do interviews  in person.

  • First, you will have an initial conversation with the Hiring Contact or a Recruiter. 
  • Following that, you will do up to 5 interviews with the team. Technical roles will do at least 2 deep technical screens, which comprise programming exercises, AI exercises, and general technical interviews. We might also invite you to do a take-home exercise or give a presentation. For a non-technical role, please prepare for a role-specific interview such as a portfolio review.

Decision: We strive to get back to you within one week from your final interview.

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