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Urgent! Research Engineer / Scientist, Interpretability Job Opening In San Francisco – Now Hiring OpenAI
About the Team
The Interpretability team studies internal representations of deep learning models.
We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations.
We are particularly interested in applying our understanding to ensure the safety of powerful AI systems.
Our working style is collaborative and curiosity-driven.
About the Role
OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process.
You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team.
You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability.
This will make a significant impact on our goal of building and deploying safe AGI.
In this role, you will:
Develop and publish research on techniques for understanding representations of deep networks.
Engineer infrastructure for studying model internals at scale.
Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue.
Guide research directions toward demonstrable usefulness and/or long-term scalability.
You might thrive in this role if you:
Are excited about of ensuring AGI benefits all of humanity, and are aligned with .
Show enthusiasm for long-term AI safety, and have thought deeply about technical paths to safe AGI.
Bring experience in the field of AI safety, mechanistic interpretability, or spiritually related disciplines.
Hold a Ph.D. or have research experience in computer science, machine learning, or a related field.
Thrive in environments involving large-scale AI systems, and are excited to make use of OpenAI’s unique resources in this area.
Possess 2+ years of research engineering experience and proficiency in Python or similar languages.
Are deeply curious.
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Unlock Your Research Engineer Potential: Insight & Career Growth Guide
Real-time Research Engineer Jobs Trends in San Francisco, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Research Engineer in San Francisco, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 190722 jobs in United States and 7102 jobs in San Francisco. This comprehensive analysis highlights market share and opportunities for professionals in Research Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! OpenAI is currently hiring and seeking a Research Engineer / Scientist, Interpretability to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at OpenAI adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Research Engineer / Scientist, Interpretability Jobs United States varies, but the pay scale is rated "Standard" in San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Research Engineer / Scientist, Interpretability typically include Life Scientists and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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