At a Glance
- Tasks: Solve novel systems problems and optimise large-scale ML algorithms.
- Company: Join a cutting-edge tech company focused on machine learning innovation.
- Benefits: Comprehensive health insurance, flexible time off, and wellness stipends.
- Other info: Enjoy a collaborative culture with opportunities for professional growth.
- Why this job: Make a real impact in ML while growing your skills in a dynamic environment.
- Qualifications: Experience in software engineering or ML, especially at supercomputing scale.
The predicted salary is between 500 - 500 £ per month.
Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you’ll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems.
- Implement low-latency high-throughput sampling for large language models
- Implement GPU kernels to adapt our models to low-precision inference
- Write a custom load-balancing algorithm to optimize serving efficiency
- Build quantitative models of system performance
- Design and implement a fault-tolerant distributed system running with a complex network topology
- Debug kernel-level network latency spikes in a containerized environment
Benefits:
- Comprehensive health, dental, and vision insurance for you and your dependents
- Inclusive fertility benefits via Carrot Fertility
- 22 weeks of paid parental leave
- Flexible paid time off and absence policies
- Mental health support for you and your dependents
- Competitive salary and equity packages
- Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
- Retirement plans with competitive matching
- Life and income protection plans
- $500/month flexible wellness and time saver stipend
- Commuter benefits
- Annual education stipend
- Home office stipends
- Relocation support for those moving for Anthropic
- Daily meals and snacks in the office
Requirements:
- Want to learn more about machine learning research
- Have significant software engineering or machine learning experience, particularly at supercomputing scale
- Care about the societal impacts of your work
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Enjoy pair programming (we love to pair!)
- High performance, large-scale ML systems
- GPU/Accelerator programming
- OS internals
- ML framework internals
- Language modeling with transformers
Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML.
Performance Engineer employer: Anthropic
At Anthropic, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team-oriented environment encourages personal growth and empowers employees to take ownership of their projects, making a meaningful impact in the tech landscape. Located in a vibrant area, we offer competitive benefits and unique opportunities for professional development, ensuring that our engineers thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Performance Engineer
✨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 Anthropic 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 Anthropic.
✨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 Anthropic.
✨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 Anthropic 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 Performance Engineer
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 Anthropic.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Anthropic 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 Anthropic
✨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 Anthropic 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.
