Senior Staff ML Forward Deployed Engineer (Enterprise GenAI) in London
Scale AI London About the role
Responsibilities
- Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more.
- We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment.
- The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems.
- You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models.
- You will solve hard engineering problems in scalability and reliability.
- Deliver experiments at a high velocity and level of quality to engage our customers.
- Work across the entire product lifecycle from conceptualization through production.
- Be able, and willing, to multi-task and learn new technologies quickly.
Benefits
- Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
Qualifications
- Experience scaling products at hyper growth startups.
- Experience with major cloud providers (AWS, Azure, GCP).
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies.
- Experience with Kubernetes.
- Proficient in Python or Javascript/Typescript, and SQL.
- 7+ years of full-time engineering experience, post-graduation.
Your tasks
Join our team to build and scale an enterprise-grade Generative AI platform.
Your profile
7+ years of engineering experience and expertise in cloud services and AI technologies.
What's also included
Comprehensive health coverage, flexible PTO, and personal growth opportunities.
Tech stack & ways of working
Senior Staff ML Forward Deployed Engineer (Enterprise GenAI) in London employer: Scale AI
At Scale AI, we are at the forefront of the Generative AI revolution, offering a dynamic work environment that fosters innovation and collaboration. Our European Forward Deployed Engineering team is not only pivotal in delivering high-impact solutions but also thrives on a culture of customer empathy and strategic influence, ensuring every team member has the opportunity to grow and make a real difference. With a commitment to inclusivity and professional development, Scale AI provides an exceptional platform for those eager to shape the future of enterprise AI.
Your perspectives
Make a real impact in the AI space while working with cutting-edge technologies.
StudySmarter Expert Advice
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 Scale AI 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 Scale AI.
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 Scale AI.
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 Scale AI 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!
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 Scale AI.
Craft a killer cover letter
Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Scale AI 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 Scale AI
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 Scale AI 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.
Locations
- London
