Explain results and limitations clearly, document decisions, and build reusable methods that other teams can adopt.
You might thrive in this role if you
Have built and evaluated applied ML systems that influenced a product or business decision, with clear ownership of the modeling work.
Write effective Python and SQL and can investigate imperfect data, debug models, and make pragmatic implementation choices.
Build and schedule production scoring pipelines using dbt, airflow, and flyte.
Understand supervised learning, evaluation, experimentation, and the difference between predicting an outcome and changing it.
Can scope ambiguous problems, work across disciplines, and explain technical tradeoffs to colleagues with different backgrounds.
Are motivated by helping people use AI effectively and by learning unfamiliar product domains.
Are excited to take on challenging, impactful ML problems across multiple areas.
Have experience with recommendation systems, personalization, growth, retention, lifetime value, or treatment-effect modeling would be useful. We welcome candidates whose relevant experience comes from other domains.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
