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AI Safety Research Scientist
2 months ago
Position Overview
About the Department for Science, Innovation & Technology
The Department for Science, Innovation & Technology is committed to enhancing AI safety in the public interest. We recognize that the rapid evolution of AI technology necessitates a skilled and empowered group of experts to navigate its complexities.
As we strive to meet our ambitious objectives, your role will involve:
- Conducting evaluations of advanced AI systems: Analyzing safety-critical capabilities, assessing system security, and evaluating societal implications.
- Developing innovative governance tools: Crafting frameworks and methodologies to assess the safety and societal effects of cutting-edge AI systems, while anticipating future research needs in AI governance.
- Enhancing communication: Establishing effective channels for information exchange between the Department and various national and international stakeholders, including policymakers and collaborators.
Our team is composed of experienced professionals from top organizations, including leading tech firms and academic institutions. We are seeking exceptional technical talent to help shape the future of AI safety.
Core Values:
- Inclusivity: We embrace diverse perspectives to drive our mission forward.
- Team Collaboration: We thrive on teamwork and value contributions from all members.
- Innovation: We are dedicated to making a real-world impact in AI safety and capability, fostering creative thinking and bold ideas.
- Culture of Inclusion: We prioritize building an inclusive environment that values diversity to enhance innovation and decision-making.
Role Responsibilities
As a Research Scientist/Research Engineer focusing on narrow AI applications in biology and chemistry, your key responsibilities will include:
- Designing evaluation tasks for various protein design tools.
- Testing new biological models against diverse reference datasets.
- Identifying public datasets for validating predictions.
- Setting up models on computational clusters.
- Presenting findings in clear formats for policymakers.
- Exploring innovative applications for tools and methodologies.
- Optimizing and developing models for efficient testing.
We welcome candidates with varying levels of experience, particularly those with expertise in AI/ML, Protein Design, Microbiology, or Virology.
Candidate Profile
Essential Qualifications:
- PhD or equivalent in Computational Biochemistry, Machine Learning, Computer Science, or a related discipline.
- For Research Scientist applicants, a strong portfolio of technical outputs such as publications or software is required.
- For Research Engineer applicants, demonstrable experience in developing machine/deep learning models is essential.
- Familiarity with modern deep learning techniques (Transformers, Diffusion).
- Proficient coding skills, preferably in Python, along with strong analytical abilities.
- Excellent communication skills for engaging with diverse stakeholders.
Preferred Qualifications
For Research Scientist:
- Experience in designing experiments related to protein design or similar fields.
- Experience in international collaborations and subject matter expertise.
For Research Engineer:
- Experience in optimizing large-scale models and handling complex datasets.
- A passion for scientific inquiry and collaboration.
Core Requirements
- Availability for a minimum of 4 days per week and a commitment of at least 12 months.
- Willingness to work from the office with options for remote work.
Benefits
The Department for Science, Innovation & Technology offers a comprehensive benefits package:
- Flexible working arrangements, including options for job sharing and remote work.
- Enrollment in a competitive pension scheme.
- A minimum of 25 days of paid annual leave, with annual increases.
- Opportunities for learning and professional development.
- Employee discounts for various services and products.
- A hybrid working policy that allows for a combination of office and remote work.
