Data Engineer, OpenAI
Safety Systems
$245-385k
+ Equity
More information about location
AI research and development platform
Job no longer available
AI research and development platform
1001+ employees
Job no longer available
$245-385k
+ Equity
More information about location
1001+ employees
Company mission
To ensure that artificial general intelligence benefits all of humanity.
Role
Who you are
- Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering)
- Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java
- Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3)
- Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks
- Solid understanding of Spark and ability to write, debug and optimize Spark code
What the job involves
- The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society
- The work scope covers a wide range of projects from detection to model improvement to evaluation, aiming to reduce unwanted use cases and ensure model behavior within our safety standards
- The Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency
- We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth
- We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI
- These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors
- If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you
- This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users
- Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse
- Develop canonical datasets to track key product metrics including user growth, engagement, and revenue
- Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions
- Implement robust and fault-tolerant systems for data ingestion and processing
- Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear
- Ensure the security, integrity, and compliance of data according to industry and company standards
Our take
OpenAI aims to research and deploy AGI (Artificial General Intelligence) that is safe, controllable and beneficial to all of humanity. The company began its mission by developing an API that can solve language-based tasks, such as answering written questions or pulling up relevant documents based on a query.
Following the launch of ChatGPT in November 2022, which gained more than 1 million users in its first 5 days and is already worth billions, OpenAI announced a paid version named ChatGPT Plus which will be launched in the US first.
It is worth noting that OpenAI is not without controversy. Its products have sparked conversations regarding the morals and implications of AI tools, and recent investigations have uncovered misalignments between the company's public commitments and its alleged operations behind closed doors.
Whilst AI applications can be found in a vast variety of tech startups, this generally consists of the automation of algorithmic tasks such as data analysis and organization. OpenAI’s approach to designing true human-like artificial intelligence is futuristic, but with support from its high-profile partners (such as Microsoft), an annualised revenue reported at $ 2 billion in 2023, and the clear success of its products have the company well set to continue bringing advanced AI to the public.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
42% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Feb 2026
$110bn
LATE VC
Dec 2025
$1bn
LATE VC
Total funding: $179.9bn
Company benefits
- Health/Dental/Vision Insurance
- Flexible spending account for healthcare and dependent care
- Mental healthcare service
- Fertility treatment coverage
- 401(k) with generous matching
- 20-week paid parental leave
- Life insurance (complimentary)
- AD&D insurance (complimentary)
- Short-term/long-term disability insurance (complimentary)
- Optional buy-up life insurance
- Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)
- Annual learning & development stipend
- Regular team happy hours and outings
- Daily catered lunch and dinner
- Travel to domestic conferences
Company HQ
Mission District, San Francisco, CA
Leadership
Sam Altman
(CEO)Former Y Combinator President & Chairman.
Ilya Sutskever
(Chief Scientist)Initially served as the company's Research Director, then became Chief Scientist in 2018. Co-founded DNNResearch and previously worked at Google as a Research Scientist.
Greg Brockman
(President & Chairman)Previously served as CTO of the company. Founding Engineer and former CTO of Stripe.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job