Member of Technical Staff
Data Engineer
Confirmed live in the last 24 hours

11-50 employees

Develops personal, empathetic conversational AI experiences
Company Overview
Inflection AI stands out in the tech industry due to its unique focus on creating personal, empathetic AI experiences, with a team composed of top-tier AI developers, designers, and innovators. Their first product, Pi, is a conversational AI that offers a wide range of services from coaching to assistance, tailored to individual user interests. As a public benefit corporation, Inflection AI is legally obligated to prioritize user well-being and happiness, setting it apart from competitors in its commitment to ethical AI development.

Company Stage


Total Funding





Palo Alto, California

Growth & Insights

6 month growth


1 year growth


2 year growth

Palo Alto, CA, USA
Experience Level
Desired Skills
Data Analysis
Apache Beam
Apache Flink
Natural Language Processing (NLP)
AI & Machine Learning
Data & Analytics
  • We are building personal AIs that we hope will serve everyone
  • We are deeply committed to representing the full extent of the human experience inside our AI Studio
  • This means that everyone from any walk of life is welcome if you have the right skills
  • We populate diverse candidate pools for all open roles
  • You are an experienced data practitioner who will work closely with AI and infrastructure staff to improve our AI through better data. You will be responsible for collecting AI training data, optimizing how we use that data, and analyzing data to inform product direction. Data is key to Inflection's success, so your work will have a massive impact and will directly improve our models and product
  • You are expected to have experience building large scale data processing pipelines, using tools like PySpark, Beam, or Flink. Expertise in ML is not necessary, but a familiarity with Machine Learning and NLP and a willingness to learn more on the job are important. A track record of adapting to new domains and a desire to use data to improve products are strong indicators for success in this role
  • You may have relevant experience as a Data Scientist, ML Engineer, Data Engineer or Software Engineer, but will be expected to apply your data skills to every step of building our large language model product