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Research Engineer

Anthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. We are looking for a Research Engineer to contribute to impactful research projects and systems.

Skills

  • Strong communication skills
  • Research experience in AI
  • Ability to work collaboratively

Responsibilities

  • Contribute to large-scale AI research efforts
  • Collaborate with a cohesive team on diverse projects
  • Engage in regular research discussions

Education

  • Bachelor's degree in relevant field
  • Advanced degree preferred

Benefits

  • Competitive compensation
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

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$1K
$2K

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What You Should Know About Research Engineer, Anthropic

Are you passionate about pushing the boundaries of artificial intelligence? Anthropic is excited to invite a Research Engineer to join our dynamic team in San Francisco, New York City, or Seattle. At Anthropic, our mission is clear: we aim to build reliable, interpretable, and steerable AI systems that are safe and beneficial for society. As a Research Engineer, you'll be at the forefront of our research efforts, contributing to groundbreaking projects that shape the future of AI. Your work will involve collaborating with other talented engineers and researchers to develop AI solutions that not only advance technology but also prioritize ethical implications. If you're ready to make a significant impact in the world of AI, we want to hear from you!

Frequently Asked Questions (FAQs) for Research Engineer Role at Anthropic
What are the responsibilities of a Research Engineer at Anthropic?

As a Research Engineer at Anthropic, you will engage in large-scale AI research initiatives that focus on developing reliable and interpretable AI systems. Your responsibilities will encompass designing experiments, analyzing data, and collaborating with a diverse team of researchers to enhance our understanding of AI technologies. Your work will directly contribute to advancing the state of AI, with an emphasis on steerability and safety.

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What qualifications are needed to apply for the Research Engineer position at Anthropic?

To be considered for the Research Engineer role at Anthropic, candidates should possess a strong background in machine learning, data analysis, or a related field. A degree in computer science, engineering, or a comparable discipline is highly advantageous. Experience with AI research, solid programming skills, and the ability to work collaboratively in a team environment will uniquely position candidates for success.

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Is there a visa sponsorship program for the Research Engineer role at Anthropic?

Yes, Anthropic does offer visa sponsorship for the Research Engineer position. While not every role qualifies for sponsorship, the company makes every reasonable effort to assist applicants in obtaining a visa if they receive an offer. We encourage all interested candidates to apply, even if they have concerns about meeting specific qualifications.

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How does Anthropic emphasize collaboration among its Research Engineers?

Collaboration is a cornerstone of Anthropic's culture, especially among Research Engineers. The company hosts regular research discussions and encourages open communication across teams to ensure that the most impactful projects receive attention. This collaborative environment fosters innovation and allows members to contribute to larger scientific efforts in AI research.

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What is the expected salary range for a Research Engineer at Anthropic?

The expected salary range for the Research Engineer position at Anthropic is competitive, with annual salaries starting from $1 to $2 million USD. This reflects the company's commitment to attracting top talents in the industry, providing not only a rewarding salary but also a comprehensive benefits package.

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Common Interview Questions for Research Engineer
What techniques do you use to ensure the reliability of AI systems?

In answering this question, highlight specific AI techniques such as testing with diverse datasets, implementing robust evaluation metrics, and revising algorithms based on performance feedback. Illustrate your response with examples from past projects where reliability was a focus.

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Can you discuss a recent research project you were involved in?

Be prepared to give a concise overview of a relevant project. Explain your role, the challenges faced, and the methodologies used. Highlight what was learned and how it applies to Anthropic's goals of creating interpretable AI systems.

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How do you prioritize ethical considerations in AI development?

Articulate your understanding of the ethical implications of AI. Discuss methods you use to assess potential risks and frameworks you follow to ensure that ethical standards are met throughout the research and development phases.

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What do you believe is the most significant challenge currently facing AI research?

Share your perspective on key challenges, such as bias in algorithms, scalability of AI systems, or safety in AI deployment. Discuss your approach to addressing these challenges and how they can be mitigated in future research.

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How do you collaborate effectively with multidisciplinary teams?

Emphasize your communication and teamwork skills, including the importance of listening to diverse viewpoints and finding common ground. Provide examples of past collaborations that led to successful outcomes.

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Describe a time when you had to analyze complex data. What tools did you use?

Provide details about the data analysis tools or programming languages you utilized, such as Python or R. Discuss your approach to breaking down complex data sets and making data-driven decisions based on your analyses.

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How do you stay updated with the latest advancements in AI research?

Share your strategies for keeping current on AI developments, such as attending conferences, reading scholarly articles, participating in online forums, or being part of research groups. This shows your commitment to ongoing professional development.

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What role do you think research engineers play in the development of safe AI systems?

Discuss the vital responsibilities of research engineers, highlighting their role in designing experiments, evaluating AI models, and contributing to the ethical framework surrounding AI development. Showcase your understanding of the impact this has on industry standards and societal trust in AI technologies.

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Can you explain the concept of 'steerable AI'?

Clarify what steerable AI means by detailing its ability to be directed and influenced by users. Provide examples where steerability is crucial, such as in personalized algorithms or responsive AI applications, demonstrating your understanding of the terms and their applications within Anthropic's mission.

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What is your approach to writing and documenting research findings?

Outline your methodical approach to documentation, stressing the importance of clear communication, accessibility of research, and detail-oriented writing. Provide an example of how effective documentation helped facilitate collaboration or led to a successful project.

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Anthropic is an AI startup public-benefit company dedicated to AI safety and research, aiming to develop dependable, interpretable, and controllable AI systems. The company was was founded by former members of OpenAI in 2021.

190 jobs
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BADGES
Badge ChangemakerBadge Future MakerBadge InnovatorBadge Work&Life Balance
CULTURE VALUES
Inclusive & Diverse
Diversity of Opinions
Collaboration over Competition
Transparent & Candid
Passion for Exploration
Rapid Growth
Social Impact Driven
Mission Driven
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
Maternity Leave
Paternity Leave
Paid Time-Off
Equity
401K Matching
Commuter Benefits
Learning & Development
WFH Reimbursements
SENIORITY LEVEL REQUIREMENT
INDUSTRY
TEAM SIZE
SALARY RANGE
$1/yr - $2/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
December 17, 2024

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