Senior Research Scientist

Safe Intelligence; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is on the lookout for a Senior Research Scientist to lead research in machine learning verification and robust learning. This role involves guiding junior scientists, collaborating across teams, and contributing to a culture of high performance. You'll be at the forefront of developing solutions that enhance the safety and reliability of AI technologies, impacting critical applications in various sectors. Join a passionate team dedicated to making AI safer for society, where your expertise and insights will shape the future of artificial intelligence.

Benefits

Mentoring and Development Allowance

Regular Team Social Events

Flexible Holidays

Qualifications

• PhD degree in ML verification or robustness is required.
• History of top academic publications is essential.

Responsibilities

• Lead research on ML verification and robust learning methods.
• Collaborate with junior scientists and engineers.
• Gather and analyze information on technological advances.

Skills

Deep Learning

Machine Learning Verification

Python Programming

Collaboration Skills

Analytical Skills

Education

PhD in Machine Learning Verification

Tools

Large Codebases

Job description

Direct message the job poster from Safe Intelligence

Safe Intelligence is a deep-tech, venture-backed spin-out from Imperial College London building solutions to formally verify the correctness of ML models and improve their robustness against vulnerabilities.Our mission is to develop state-of-the-art research and products that make AI safe and secure for society as a whole.

We seek an outstanding senior research scientist who shares our passion for reliable AI to enable ML adoption in society-critical applications, including autonomous transportation, finance, robotics, medical imaging, and edge computing.

As a Senior Research Scientist, you will lead and conduct research aligning with the company mission, particularly on ML verification technology and certified learning. Safe Intelligence Research Scientists regularly share their results with the broader community by publishing in top conferences, and similar contributions will be welcomed. We are also passionate about enabling users to deploy ML models safely. A successful Senior Research Scientist will also interact with users to capture requirements, share capabilities, and feed these to the product team for future iterations.

Joining Safe Intelligence is an opportunity to shape the emerging AI revolution by making it safer and more reliable for everyone.

Responsibilities:

As a Safe Intelligence Senior Research Scientist, you will:

• Develop research on state-of-the-art methods in ML verification and robust learning.
• Guide and collaborate with more junior research scientists and engineers.
• Map out and plan the key research objectives for the company based on existing and emerging product capabilities and strategic objectives.
• Understand and anticipate customers’ technical requirements across verticals.
• Contribute to establishing a culture of high organisational performance.
• Gather and analyse large amounts of information expeditiously on technological and market advances and develop compelling and insightful strategic recommendations for the leadership and the team.

Technical Requirements:

• Advanced knowledge in deep learning, verification for machine learning, or certified learning.
• Solid experience in training NNs or DTs.
• Solid experience in programming, including Python, particularly in the context of large codebases.
• The ability to collaborate effectively across multiple functional teams.

As a team, we are:

• Passionate about delivering solutions to make AI safer for customers and society.
• Deeply technical and constantly in a state of learning.
• Committed to communicating clearly and efficiently to several audiences, including developers, clients, researchers, partners, and executives.
• Fearless in getting "hands-on" with technology and execution.
• Comfortable with ambiguity with a drive for clarity.
• Honest, straightforward, and caring about each other’s well-being.
• Competitive compensation. Safe Intelligence provides competitive compensation based on role and candidate experience. We are committed to discussing career progress, and the overall package will always be entirely transparent.

In addition, company benefits for all roles include:

• Mentoring, learning, and development allowance.
• Regular team social and work events.
• Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives.

Qualifications:

• Defended or about to defend a PhD degree in ML verification or ML robustness.
• History of top academic publications.

Preferred qualifications:

• Experience in verification or advanced ML environment.
• Experience with complex codebases.
• Excellent communication, problem-solving, and judgement skills.
• Ability to create effective relationships and collaborate internally and externally effectively.
• Outstanding strategic and analytical capabilities.
• Entrepreneurial or leadership experience.

Location & Office Culture:

Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience.

Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety).

Application:

Please send a CV and a short statement of your interest in the position to:

Informal enquries: We will be at Neurips between the 10th and 15th of Dec 2024.

Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

• Industries

  Software Development

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