Research Engineer, OpenAI
Reasoning
Plus equity
AI research and development platform
Job no longer available
AI research and development platform
1001+ employees
Job no longer available
Plus equity
1001+ employees
Company mission
To ensure that artificial general intelligence benefits all of humanity.
Role
Who you are
- Are excited about OpenAI’s mission of building safe, universally beneficial AGI and are aligned with OpenAI’s charter
- Possess 5+ years of research engineering experience and proficiency in Python or similar languages
- Thrive in environments involving large-scale AI systems and multimodal datasets (a plus)
- Exhibit proficiency in the field of AI safety, focusing on topics like RLHF, adversarial training, robustness, fairness & biases, which is extremely advantageous
- Show enthusiasm for AI safety and dedication to enhancing the safety of cutting-edge AI models for real-world use
- Compensation, Benefits and Perks
What the job involves
- Design, develop and maintain a robust and scalable data management pipeline and set up standards for versioning and data quality control. The pipeline should be able to handle data relabeling requests due to content policy changes
- Build a pipeline for automated model training, evaluation and deployment, including active learning process, routines for calibration and validation data refresh etc
- Work closely with stakeholders from product, engineering, content policy on a long-term improvement over the moderation models, for both external release and internal use cases across a variety of projects on model safety
- Research on the latest techniques and methods in deep learning and natural language processing to improve the moderation model across a collection of unwanted content categories
- Experiment on data augmentation and data generation methods to enhance the diversity and quality of training data
- Experiment and design an effective red-teaming pipeline to examine the robustness of the model and identify areas for future improvement
- Conduct open-ended research to improve the quality of collected data, including but not limited to, semi-supervised learning and human-in-the-loop machine learning
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