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- Tasks: Lead AI alignment research and optimise large-scale models for accuracy and efficiency.
- Company: Join a cutting-edge team from top AI companies like DeepMind and OpenAI.
- Benefits: Top-tier salary, comprehensive health benefits, and generous parental leave.
- Why this job: Make a real impact in the future of open superintelligence and AI.
- Qualifications: Graduate degree in Computer Science or Machine Learning with strong engineering skills.
- Other info: Dynamic startup environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Our Mission 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 DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
About The Role
- Drive the entire alignment stack, spanning instruction tuning, RLHF, and RLAIF, to push the model toward high factual accuracy and robust instruction following.
- Lead research efforts to design next-generation reward models and optimization objectives that significantly improve human preference (HP) performance.
- Curate high-quality training data and design synthetic data pipelines that solve complex reasoning and behavioral gaps.
- Optimize large-scale RL pipelines for stability and efficiency, ensuring rapid iteration cycles for model improvements.
- Collaborate closely with pre-training and evaluation teams to create tight feedback loops that translate alignment research into generalizable model gains.
About You
- Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.
- Deep technical command of alignment methodologies (PPO, DPO, rejection sampling) and experience scaling them to large models.
- Strong engineering skills, comfortable diving into complex ML codebases and distributed systems.
- Experience improving model behavior through data, reward modeling, or RL techniques.
- Evidence of owning ambitious research or engineering agendas that led to measurable model improvements.
- Thrive in a fast-paced, high-agency startup environment with bias toward action.
- Passionate about advancing the frontier of intelligence.
What We Offer
- 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.
Member of Technical Staff - Alignment Lead employer: Reflection AI
Contact Detail:
Reflection AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff - Alignment Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at companies like Reflection. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or any projects that highlight your expertise in alignment methodologies or ML techniques, make sure to share them during interviews. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding complex ML concepts. Practice common interview questions and maybe even do some mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission to build open superintelligence.
We think you need these skills to ace Member of Technical Staff - Alignment Lead
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience with alignment methodologies and any relevant projects you've worked on. We want to see how your skills align with our mission!
Showcase Your Passion: Let us know why you're excited about advancing the frontier of intelligence. Share any personal projects or research that demonstrate your enthusiasm for AI and machine learning. We love seeing candidates who are genuinely passionate about their work!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point—show us what you can do without fluff!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy—just follow the prompts!
How to prepare for a job interview at Reflection AI
✨Know Your Alignment Methodologies
Make sure you brush up on your understanding of alignment methodologies like PPO, DPO, and rejection sampling. Be ready to discuss how you've applied these techniques in past projects and how they can be scaled to large models.
✨Showcase Your Engineering Skills
Prepare to dive into technical discussions about complex ML codebases and distributed systems. Bring examples of your engineering work that demonstrate your ability to improve model behaviour through data and reward modelling.
✨Demonstrate Your Research Ownership
Be ready to talk about ambitious research or engineering agendas you've owned in the past. Highlight measurable improvements you've achieved and how they relate to the role's focus on high factual accuracy and robust instruction following.
✨Emphasise Your Passion for AI
Let your enthusiasm for advancing the frontier of intelligence shine through. Share your thoughts on the future of open superintelligence and how you see yourself contributing to this mission at Reflection.
