At a Glance
- Tasks: Lead your own AI startup, driving vision and execution in a dynamic team.
- Company: Join an innovative early-stage team backed by top investors and industry leaders.
- Benefits: Competitive compensation, flexible remote/hybrid options, and a chance to shape AI outcomes.
- Other info: Work in a collaborative environment with opportunities for growth and learning.
- Why this job: Make a real impact by building AI systems that solve real-world problems.
- Qualifications: Experience in applied ML, strong foundation in software engineering, and customer engagement.
The predicted salary is between 70000 - 90000 £ per year.
About Hyde
We are an early stage, pre-series A team made up of multiple Olympiad medalists, hands‑on ex‑Palantir founders, and alumni from leading institutions including McKinsey, KKR, Google, HBS, Columbia. You will be joining a ~20 person team based across NYC, London, and Mumbai. We are backed by Bain Capital Ventures and General Catalyst, and we are already partnering with Global 500s, AI natives, and investment firms to take ownership of AI outcomes across the world.
What is an AI Builder?
Being an AI Builder at Hyde is like leading your own Applied AI startup, you’re the CXO - driving vision, strategy, and execution. You’ll work in small, high‑leverage pods responsible for building and deploying an integrated training and inference stack that enables enterprises to develop RL‑based agents. Your work doesn’t stop at customer deployment, you’ll translate real‑world usage into product improvements, shaping Hyde’s core platform, primitives, and tooling.
Every day is different, here are some ideas of what you will do:
- You’ll be a generalist engineer: working across research, product, and forward deployed pods to design and build AI systems that drive business impact. On any day you may be working on building agents, training models, setting up evaluation matrices, or creating RL environments for specific domains.
- Iterate on Hyde’s product toolkits by capturing cutting‑edge applied AI patterns that create delivery leverage. Equally capture usage insights from production environments to refine product abstractions and interfaces for developers.
- Work directly with CXOs and senior stakeholders to identify high‑value problem spaces and translate them into productizable AI systems.
You may be the right fit if you have:
- Experience working in applied ML, reinforcement learning, product engineering, and/or top‑tier management consulting. Ideally, experience deploying AI in creative ways to solve real‑world problems.
- A strong foundation in ML basics (Evaluation, Training, Problem Decomposition). Preferred backgrounds include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, Machine Learning, Data Science.
- A track record of working directly with customers to build and/or scale end‑user applications preferred.
- Proficiency in software engineering principles and an understanding of languages such as Python, Java, C++, TypeScript / JavaScript.
The details, flexible for the right candidate
Location: London (remote / hybrid options available)
Competitive compensation
Full time role
AI Builder (London) employer: Hyde
As a Tenancy Management Officer, you will join a supportive and dynamic team dedicated to fostering safe and thriving communities. Our company prioritises employee growth through continuous training and development opportunities, while also offering a competitive salary and benefits package. Located in a vibrant area, we promote a collaborative work culture that values your contributions and encourages innovative solutions to tenancy challenges.
StudySmarter Expert Advice🤫
We think this is how you could land AI Builder (London)
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that AI Builder role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving applied ML and reinforcement learning. We want to see how you’ve tackled real-world problems and made an impact.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common ML scenarios and being ready to discuss how you’d approach building AI systems in a business context.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Builder (London)
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about the field and how you can contribute to our mission at Hyde. Share any personal projects or experiences that highlight your love for applied AI.
Tailor Your Application:Make sure to customise your application for the AI Builder role. Highlight relevant experiences in applied ML, reinforcement learning, and product engineering. We’re looking for specific examples that demonstrate your skills and how they align with what we do at Hyde.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and fluff. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Hyde
✨Know Your AI Stuff
Make sure you brush up on your knowledge of applied machine learning and reinforcement learning. Be ready to discuss specific projects you've worked on, especially those that involved deploying AI solutions. This will show that you not only understand the theory but also how to apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in the past. Think of examples where you identified high-value problem spaces and translated them into actionable solutions. This is key for a role that involves working directly with CXOs and senior stakeholders.
✨Get Familiar with Their Tech Stack
Since you'll be working with various programming languages like Python, Java, and C++, make sure you're comfortable discussing your experience with these. If you have any projects that showcase your proficiency, be ready to share them. It’s all about demonstrating your technical chops!
✨Be Ready for a Dynamic Discussion
Expect the interview to cover a range of topics, from product engineering to customer interactions. Prepare to discuss how you can iterate on product toolkits and capture insights from production environments. Flexibility and adaptability are crucial, so show that you can thrive in a fast-paced, ever-changing environment.
