At a Glance
- Tasks: Build and enhance training frameworks for cutting-edge language models.
- Company: Join Deepstreamtech, a leader in ML systems engineering.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and developer velocity.
- Why this job: Tackle exciting challenges and shape the future of ML infrastructure.
- Qualifications: Experience in large-scale distributed training and familiarity with JAX.
The predicted salary is between 70000 - 90000 € per year.
Deepstreamtech is seeking a Senior Engineer to build and evolve the training framework for frontier-scale language models. This role involves designing core components for scalable training, improving system throughput, and collaborating with teams to resolve performance bottlenecks.
The ideal candidate has strong engineering experience in large-scale distributed training, familiarity with JAX, and a track record of building tools that enhance developer velocity. Join us to tackle challenging ML systems problems and shape the future of infrastructure for large-scale models.
Senior ML Systems Engineer: High-Perf Training Tooling in London employer: Deepstreamtech
At Deepstreamtech, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to push the boundaries of machine learning technology. As a Senior ML Systems Engineer, you will not only have the opportunity to work on cutting-edge projects but also benefit from continuous professional development and collaboration with a talented team. Our commitment to employee growth, coupled with a supportive environment in a vibrant location, makes Deepstreamtech an exceptional employer for those seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Systems Engineer: High-Perf Training Tooling in London
✨Tip Number 1
Network like a pro! Reach out to folks in the ML community, attend meetups, and connect with engineers 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 showcasing your projects, especially those involving large-scale distributed training or tools that enhance developer velocity. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of JAX and scalable training frameworks. Practice coding challenges and system design questions to demonstrate your expertise in tackling complex ML systems problems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with performance bottlenecks and collaborative problem-solving.
We think you need these skills to ace Senior ML Systems Engineer: High-Perf Training Tooling in London
Some tips for your application 🫡
Show Off Your Engineering Skills:When you're writing your application, make sure to highlight your engineering experience, especially in large-scale distributed training. We want to see how you've tackled similar challenges in the past and what tools you've built to enhance developer velocity.
Get Technical with JAX:If you’ve got experience with JAX, don’t hold back! Mention specific projects or tasks where you used it. We’re keen to know how you’ve leveraged this tool to improve system throughput and resolve performance bottlenecks.
Collaborate and Communicate:This role involves a lot of teamwork, so be sure to include examples of how you’ve collaborated with others in your previous roles. We love seeing candidates who can work well with different teams to tackle complex ML systems problems.
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 don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in large-scale distributed training and JAX. Brush up on your technical knowledge and be ready to discuss specific projects where you've implemented these technologies. This will show your depth of understanding and how you can contribute to their training framework.
✨Prepare for System Design Questions
Expect questions about designing scalable systems and improving throughput. Think through potential bottlenecks you’ve encountered in past projects and how you resolved them. Being able to articulate your thought process will demonstrate your problem-solving skills.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, be prepared to discuss how you’ve successfully collaborated in the past. Share examples of how you’ve worked with others to enhance developer velocity or tackle complex ML problems. This will highlight your teamwork abilities.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s future and challenges. Inquire about their current projects or how they envision the evolution of their training framework. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
