At a Glance
- Tasks: Engineer ML-inference applications and enhance private cloud compute performance.
- Company: Revolutionary tech company focused on innovation and collaboration.
- Benefits: Competitive salary, health benefits, remote work, and growth opportunities.
- Other info: Dynamic environment with a focus on quality and collaboration.
- Why this job: Join a skilled team and make an impact in generative AI.
- Qualifications: Experience in software engineering and programming in Swift, C, or C++.
The predicted salary is between 70000 - 90000 £ per year.
People at the company don't just build products - they craft the kind of experience that has revolutionised entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do.
Our team builds ML‑inference applications and services on the company Silicon in the datacentre, specifically focusing in recent years on generative AI as part of the Private Cloud Compute component of the company Intelligence. Imagine what you could do here! Join us. Be you.
As part of the team you will help engineer continuous improvements in stability and performance for private cloud compute, as well as help implement entirely new functionality as it emerges from the research community, in collaboration with product teams throughout the company. We write performant and scalable frameworks (in Swift and C++) to distribute and coordinate ML inference tasks to different hardware acceleration IP blocks on different SoCs.
We’re a collection of highly skilled and friendly engineers who value each other’s opinions and experience. We strive for excellence and believe strongly in the quality of our output. We have formed a team of domain experts who specialise in specific core subject areas, and also have broad experience of cloud software services and platforms.
You will integrate inference code into a full service stack to ensure that user traffic is served reliably and performantly, and will have a strong focus on developing code that is easy and safe to develop, update and monitor.
- Quality focus - produce reliable, maintainable, deliverable software
- Comfortable diving deep - working across multiple levels of abstraction
- Good at handling relationships & communication - collaborate well with colleagues across a wide range of functions
Preferred Qualifications
- Familiar with the company ML stack (ANE, CoreML, MPS/Metal)
- High-level general distributed ML stack (PyTorch-distributed, NCCL) and high throughput inter-chip communication systems
- On-device iOS development
Minimum Qualifications
- Experience working as a software engineer on large production systems
- Experience programming in: Swift, C, C++, iOS/macOS or XCode
- Practical experience running machine learning models and evaluating them for quality and performance metrics
ML Software Engineer, in London employer: United States Digital Space LLC
At our company, we pride ourselves on fostering a collaborative and innovative work environment where every team member's contributions are valued. As a ML Software Engineer, you will not only work with cutting-edge technology in the heart of the tech industry but also benefit from continuous learning opportunities and a culture that encourages personal and professional growth. Join us to be part of a diverse team that is dedicated to excellence and making a meaningful impact in the world of generative AI.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ML Software Engineer, in London
✨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 United States Digital Space LLC 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 United States Digital Space LLC.
✨Tap into Online Developer Communities
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We think you need these skills to ace ML Software Engineer, in London
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 United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC 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 United States Digital Space LLC
✨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 United States Digital Space LLC 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.
