At a Glance
- Tasks: Build systems that transform powerful AI models and drive innovative research initiatives.
- Company: Join Reflection, a cutting-edge research lab making intelligence accessible for everyone.
- Benefits: Top-tier salary, stock options, comprehensive health benefits, and unlimited paid time off.
- Other info: Enjoy team-building activities and a supportive culture focused on your growth.
- Why this job: Make a real impact in AI while collaborating with a talented team in a fast-paced environment.
- Qualifications: Deep understanding of machine learning and experience with large-scale model training.
The predicted salary is between 59400 - 72600 £ per year.
Our Mission: Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI.
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:
- Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
- Stock options: Everyone who joins and contributes to Reflection’s success gets to share in the upside through stock options.
- Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
- Meals: Lunch and dinner are provided in the office daily.
- Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
- Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
- Sponsorship support: We sponsor visas to help exceptional talent join our team and support long‑term immigration pathways where applicable.
- Team building: We have regular off‑sites, happy hours, and team celebrations.
Member of Technical Staff - Post-Training 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 - Post-Training
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Reflection!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Member of Technical Staff - Post-Training at Reflection.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Reflection.
✨Apply Directly through Our Website
When you find a suitable opening like Member of Technical Staff - Post-Training at Reflection, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Member of Technical Staff - Post-Training
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Reflection, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Reflection. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Reflection
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Reflection!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
