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 RoleThe Inflection platform is the foundation of everything we're building for enterprise solutions. The core services which power our models, such as model inference and datastores, live within our platform. The platform also consists of services and APIs that support our work in finetuning, deployment, and partnership engineering for enterprise applications. Platform engineers use a mix of systems, infrastructure, API, and data engineering to help build and operate important components that power the platform.This is a good role for you if you:
- Have diverse experiences building APIs and infrastructure for enterprise platforms.
- Enjoy wearing multiple hats and are excited to dive into a wide variety of technical challenges.
- Like working in a fast-paced environment and are comfortable refining high-level technical requirements into detailed specifications.
- Have some experience with standard ML frameworks and infrastructure. Ideally, you have experience using, deploying, and scaling LLMs, whether in a personal or professional capacity.
- Have extensive experience building applications using technologies such as Python, FastAPI, Kubernetes, Redis, and Postgres, and are proficient with PyTorch.
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 DisclosuresAt 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.BenefitsInflection 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 ProcessApply: 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.