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- Tasks: Build systems that transform powerful models into aligned agents and drive innovative research.
- Company: Join Reflection AI, a cutting-edge startup focused on advancing intelligence.
- Benefits: Top-tier salary, equity, health benefits, and a supportive work environment.
- Why this job: Make a real impact in AI by shaping the future of foundational models.
- Qualifications: Deep understanding of machine learning and strong engineering skills required.
- Other info: Thrive in a fast-paced environment with opportunities for significant career growth.
The predicted salary is between 36000 - 60000 £ per year.
Join Reflection AI as a Member of Technical Staff - Post-Training.
About The Role
- Build systems that transform powerful pre-trained models into aligned and general agents.
- Drive research and engineering initiatives that push the frontier of post-training, from data curation to large-scale optimization.
- Develop data generation pipelines, reward models, reinforcement learning algorithms, and inference-time scaling techniques.
- Collaborate across pre-training and post-training teams to deliver step-function gains in model capability.
- Contribute to shaping our understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning.
About You
- Deep understanding of machine learning fundamentals and practical experience with large-scale LLM training.
- 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; bias toward action and clarity of execution.
- Able to work fluidly across research and infra boundaries.
- Strong communication capabilities and comfort working collaboratively.
- 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.
Member of Technical Staff - Post-Training employer: Reflection AI
Contact Detail:
Reflection AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff - Post-Training
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This is your chance to demonstrate your engineering prowess and understanding of machine learning fundamentals.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects and how they relate to the role at Reflection AI.
✨Tip Number 4
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 joining our team and contributing to the exciting work we do.
We think you need these skills to ace Member of Technical Staff - Post-Training
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for machine learning and AI shine through. We want to see that you’re not just qualified, but genuinely excited about pushing the boundaries of intelligence.
Tailor Your Experience: Make sure to highlight your relevant experience with large-scale LLM training and any projects that demonstrate your engineering skills. We love seeing how your past work aligns with what we do at Reflection AI.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, less is often more!
Apply Through Our Website: Don’t forget 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. We can’t wait to hear from you!
How to prepare for a job interview at Reflection AI
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning fundamentals before the interview. Be ready to discuss concepts like reinforcement learning, data curation, and large-scale model training. This will show that you have a solid foundation and can dive into complex topics with ease.
✨Showcase Your Engineering Skills
Prepare to talk about your experience with engineering projects, especially those involving large-scale ML codebases. Bring examples of how you've tackled challenges in distributed systems or improved model behaviour through innovative techniques. This will demonstrate your hands-on expertise and problem-solving abilities.
✨Highlight Collaborative Experiences
Since collaboration is key in this role, think of instances where you've worked across teams or disciplines. Share stories that illustrate your strong communication skills and how you’ve contributed to joint initiatives. This will help them see you as a team player who thrives in a fast-paced environment.
✨Express Your Passion for AI
Let your enthusiasm for advancing the frontier of intelligence shine through. Talk about any personal projects, research, or interests related to AI and machine learning. Showing genuine passion can set you apart and align you with their mission at Reflection AI.
