Member of Technical Staff

Team - Multimodal

Member of Technical Staff - Research Engineer/Research Scientist (OpenAI, LP; San Francisco, CA): Measure the scaling properties of different algorithms and datasets (i.e. measure performance versus model and dataset size) using scaling analysis to determine which methods will be most efficient at large scale. Write technical reports on results and share them with colleagues. Communicate report results to the external machine learning community through conference papers, and to the wider non-technical audience through the OpenAI blog. Review the machine learning literature, specifically in the subfield of reinforcement learning, to find new methods that are relevant to the reinforcement learning team's goals. Implement the new methods to test them out. Write software code to train neural networks to perform tasks such as question answering using supervised learning and reinforcement learning algorithms. Implement user interfaces for collecting data from hired contracted workers. Review the data produced by contracted workers and provide feedback as necessary. Profile the team’s training code to identify bottlenecks and refactor the code to remove these bottlenecks.

Minimum requirements: Master's degree or foreign equivalent in Electronic Engineering, Computer Science, or related field, plus two (2) years of experience as a Member of Technical Staff, Data Scientist, Software Engineer, or related occupation.

Must have experience with the following: communicating scientific results in paper or blog form; machine learning experimentation, data analysis, and visualization; recurrent neural networks (transformers) and their use for language modeling tasks requiring reasoning; reading and assessing the machine learning literature (reinforcement learning, language models, multimodal (language-image) models, and reinforcement learning from human feedback); Python and Javascript programming languages (PyTorch, Node.js, React, and Flask); implementing reinforcement learning algorithms and training environments, and tuning them to achieve strong performance; using programming libraries for scientific computing and machine learning (PyTorch, NumPy, SciPy, and Pandas); and writing user interfaces using web development frameworks (Flask, jQuery, and React).

Salary: $245,000 – $300,000 per year

About the team

We are the home for multimodal and exploratory research at OpenAI. 

We build large-scale generative models with new multimodal capabilities, and believe that they are powerful tools for visualizing how our models perceive the world. Our past work in generative modeling includes DALL-E, Jukebox, and MuseNet.

We also train models which learn strong representations in domains outside of natural language, and believe that our most powerful models should be able to understand sensory inputs of many forms. Our past relevant work includes CLIP and ImageGPT.

Finally, we are a home for exploratory research at OpenAI. We’ve produced advancements in attention sparsity, normalizing flows, deep variational autoencoders, and diffusion, and GPT was once an exploratory project that originated on the Algorithms team.

We work at the cutting edge of multimodal research and you won’t encounter another organization with as much compute per employee. We move quickly, have access to huge resources, and our work directly impacts the success of OpenAI, and by extension, the field of AI as a whole.

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. 
 
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.

Benefits and Perks

• Medical, dental, and vision insurance for you and your family

• Mental health and wellness support

• 401(k) plan with 4% matching

• Unlimited time off and 18+ company holidays per year

• Paid parental leave (20 weeks) and family-planning support

• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via [email protected].

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