CAREER

The development of AI must be carried out with a knowledge of and respect for the perspectives and experiences that represent the full spectrum of humanity.

• Core values

Audacious

We make bold bets and aren't afraid to go against established norms.

Thoughtful

We thoroughly consider the consequences of our work and welcome diversity of thought.

Unpretentious

We’re not deterred by the “boring work” and not motivated to prove we have the best ideas.

Impact-driven

We’re a company of builders who care deeply about real-world implications and applications.

Collaborative

Our biggest advances grow from work done across multiple teams.

Growth-oriented

We believe in the power of feedback and encourage a mindset of continuous learning and growth.

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BENEFITS

We know that well-being is at the center of everyday life. Our comprehensive benefits package supports you where you are, so you can take care of what matters today while confidently planning for the future.

For employees

Health, dental, and vision insurance

Mental healthcare support and services

Commuter benefits

401(k) with generous matching

Domestic conference budget for each employee

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Life & family

Flexible working hours

20 weeks paid parental leave

Life and AD&D insurance

Fertility treatment and family planning coverage

Flexible spending account for healthcare and dependent care

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Culture & development

Annual learning & development stipend

Employee resource groups

Team-driven celebrations and events

Daily breakfast, lunch, and dinner

Freshly baked cookies

What excites you most about the future of AI?

Artificial general intelligence (AGI) should outperform humans at most economically valuable work. I’m looking forward to seeing AGI help human society in these ways:

Fully automate or significantly reduce human efforts on tasks that are repetitive and non-innovative. In other words, AGI should drastically boost human productivity.

Greatly expedite the discovery of new scientific breakthroughs, including but not limited to facilitating human decision making process by providing additional analyses and information.

Understand and interact with the physical world effectively, efficiently and safely.

What projects are you most proud of that you’ve worked on at OpenAI?

During my first 2.5 years at OpenAI, I worked on the Robotics team on a moonshot idea: we wanted to teach a single, human-like robot hand to solve Rubik’s cube. It was a tremendously exciting, challenging, and emotional experience. We solved the challenge with deep reinforcement learning (RL), crazy amounts of domain randomization, and no real-world training data. More importantly, we conquered the challenge as a team.

From simulation and RL training to vision perception and hardware firmware, we collaborated so closely and cohesively. It was an amazing experiment and during that time, I often thought of Steve Jobs’ reality distortion field: when you believe in something so strongly and keep on pushing it so persistently, somehow you can make the impossible possible.

Since the beginning of 2021, I started leading the Applied AI Research team. Managing a team presents a different set of challenges and requires working style changes. I’m most proud of several projects related to language model safety within Applied AI:

We designed and constructed a set of evaluation data and tasks to assess the tendency of pre-trained language models to generate hateful, sexual, or violent content.

We created a detailed taxonomy and built a strong classifier to detect unwanted content as well as the reason why the content is inappropriate.

We are working on various techniques to make the model less likely to generate unsafe outputs.

As the Applied AI team is practicing the best way to deploy cutting-edge AI techniques, such as large pre-trained language models, we see how powerful and useful they are for real-world tasks. We are also aware of the importance of safely deploying the techniques, as emphasized in our Charter.

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