At a Glance
- Tasks: Build frameworks and improve reasoning capabilities in AI systems.
- Company: Join a small, innovative team at xAI focused on engineering excellence.
- Benefits: Competitive salary, equity, comprehensive health coverage, and various perks.
- Other info: Dynamic work environment with opportunities for growth and collaboration.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: Experience in large-scale reinforcement learning and distributed systems.
The predicted salary is between 60000 - 80000 € per year.
About xAI
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the Position
As a Member of Technical Staff, you will build frameworks to improve the reasoning capability, build distributed reinforcement learning systems, techniques for inference time compute (e.g. tree search and planning), and develop environments for agents. You will get exposure and will be expected to solve and take ownership of components across the entire stack.
Tech Stack
- Python
- JAX
- Rust
Focus
- Build robust and scalable distributed RL systems.
- Optimise frameworks to enable complex inference-time reasoning.
- Develop environments and harnesses for agents.
Ideal Experiences
- Experienced with large-scale reinforcement learning systems.
- Designing and implementing distributed systems.
- Keeping up with state-of-the-art RL and inference time compute algorithms.
Interview Process
After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (phone interview) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:
- Coding assessment in a language of your choice.
- Systems hands-on: Demonstrate practical skills in a live problem-solving session.
- Project deep-dive: Present your past exceptional work to a small audience.
- Meet and greet with the wider team.
Location
This position is in-person in London, UK. We usually work from the office 5 days a week but allow for work-from-home days when required. Candidates must be willing to attend late meetings at least once a week to coordinate with the rest of our team in Palo Alto.
Benefits
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a pension plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Member of Technical Staff - Reasoning in London employer: Pantera Capital
At xAI, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration in the heart of London. Our flat organisational structure empowers every team member to take initiative and contribute directly to our mission of advancing AI for humanity. With a strong focus on employee growth, competitive benefits including equity and comprehensive health coverage, and a dynamic work environment that encourages curiosity and hands-on problem-solving, xAI is the ideal place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff - Reasoning in London
✨Tip Number 1
Get to know the company culture! Research xAI and understand their mission. When you show that you’re genuinely interested in what they do, it’ll shine through in your conversations.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your coding skills and be ready to demonstrate your problem-solving abilities. Practising with real-world scenarios can give you a leg up.
✨Tip Number 3
Don’t underestimate the power of communication! Be clear and concise when sharing your ideas or past experiences. This is key to showing you can collaborate effectively with the team.
✨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 proactive and keen to join the team at xAI.
We think you need these skills to ace Member of Technical Staff - Reasoning in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of Member of Technical Staff. Highlight your experience with reinforcement learning systems and distributed systems to catch our eye!
Craft a Compelling Statement:Your statement of exceptional work is your chance to shine! Share specific examples of your past projects, especially those that demonstrate your problem-solving skills and initiative in tech.
Showcase Your Communication Skills:Since strong communication is key for us, ensure your application is clear and concise. Use straightforward language to convey your ideas and experiences effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Pantera Capital
✨Know Your Tech Stack
Familiarise yourself with Python, JAX, and Rust, as these are crucial for the role. Be ready to discuss your experience with large-scale reinforcement learning systems and how you've implemented distributed systems in the past.
✨Showcase Your Problem-Solving Skills
During the coding assessment, focus on demonstrating your thought process. Break down problems into manageable parts and explain your reasoning clearly. This will show your ability to tackle complex challenges effectively.
✨Prepare for the Project Deep-Dive
Select a project that highlights your exceptional work and aligns with the company's mission. Be prepared to discuss the technical details, your contributions, and the impact of your work. This is your chance to shine!
✨Communicate Clearly and Concisely
Strong communication skills are essential. Practice explaining complex concepts in simple terms, as you'll need to share knowledge with your teammates. Remember, clarity can set you apart from other candidates.
