At a Glance
- Tasks: Lead safety evaluations and develop automated benchmarks for cutting-edge AI models.
- Company: Join a pioneering team from top AI companies focused on open superintelligence.
- Benefits: Top-tier salary, comprehensive health benefits, and generous parental leave.
- Other info: Dynamic startup environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in AI safety while shaping the future of technology.
- Qualifications: Graduate degree in Computer Science or equivalent experience in AI Safety required.
The predicted salary is between 81000 - 99000 £ per year.
- Our Mission
- Reflection’s mission is to
Reflection’s mission is to build open superintelligence and make it accessible to all .
We’re developing open weight models for individuals, agents, enterprises, and even nation states.
Our team of AI researchers and company builders come from Deep Mind, Open AI, Google Brain, Meta, Character.
AI, Anthropic and beyond.
About The Role
- Own the red-teaming and adversarial evaluation pipeline for Reflection’s models, continuously probing for failure modes across security, misuse, and alignment gaps.
- Work hand-in-hand with the Alignment team to translate safety findings into concrete guardrails, ensuring models behave reliably under stress and adhere to deployment policies.
- Validate that every release meets the lab’s risk thresholds before it ships, serving as a critical gatekeeper for our open weight releases.
- Develop scalable, automated safety benchmarks that evolve alongside our model capabilities, moving beyond static datasets to dynamic adversarial testing.
- Research and implement state-of-the-art jailbreaking techniques and defenses to stay ahead of potential vulnerabilities in the wild.
About You
- Graduate degree (MS or Ph D) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience in AI Safety.
- Deep technical understanding of LLM safety, including adversarial attacks, red-teaming methodologies, and interpretability.
- Strong software engineering capabilities with experience building automated evaluation pipelines or large-scale ML systems.
- Experience with Reinforcement Learning (RLHF/RLAIF) and how it impacts model safety and alignment is a strong plus.
- Thrive in a fast-paced, high-agency startup environment with bias toward action.
- Willing to make high-stakes decisions regarding model release and safety thresholds.
- Passionate about advancing the frontier of intelligence.
What We Offer
We believe that to build superintelligence that is truly open, you need to start at the foundation.
Joining Reflection means building from the ground up as part of a small talent-dense team.
You will help define our future as a company, and help define the frontier of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
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Member of Technical Staff - Safety Lead employer: Reflection
At Reflection, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the rapidly evolving field of AI. Our inclusive work culture fosters personal and professional growth, offering top-tier compensation, comprehensive health benefits, and unlimited paid time off to ensure a healthy work-life balance. Join us in shaping the future of open foundational models while enjoying unique perks like daily meals and generous parental leave policies, all within a dynamic and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff - Safety Lead
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Reflection or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Reflection.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Reflection.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Reflection that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Member of Technical Staff - Safety Lead
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Reflection.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Reflection and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Reflection
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Reflection uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
