At a Glance
- Tasks: Design and optimise TinyML models for innovative biobot systems.
- Company: Exciting AI startup backed by top-tier VCs, shaping the future of autonomous systems.
- Benefits: Equity options, learn from industry leaders, and be part of a groundbreaking team.
- Other info: Perfect time to join a rapidly growing company with immense career potential.
- Why this job: Join a revolutionary project that connects the physical world with intelligent insights.
- Qualifications: Experience in TinyML, C/C++, Python, and microcontroller platforms required.
The predicted salary is between 60000 - 80000 € per year.
AI Futures are partnered exclusively with the most exciting AI startup in Germany on a search for a Tiny ML Engineer. This is a once in a lifetime opportunity to create a new industry by building the operating system for physical world intelligence. Funded by Tier 1 VCs, the company is developing a new category of autonomous systems capable of delivering low-signature, persistent intelligence at scale, creating a programmable layer that connects the physical world to organisations and turns deployments into real insight. With initial applications in defence and long-term applications across security, infrastructure and industry, the company is scaling from 50 to 200 people in 2026.
The Role:
- Design, deploy & optimise TinyML models on microcontrollers (ARM Cortex-M, RISC-V, custom accelerators) used on living insect biobot systems
- Hands-on implementation experience of TinyML on MCUs
- Developing real-time sensing and control pipelines
- Applying advanced optimisation techniques (quantisation, pruning, compression)
- Integrating ML models with advanced embedded systems
- Shaping the company’s next generation of intelligent edge platforms
The Candidate:
- Embedded ML / TinyML experience
- Strong background in C/C++, Python, & microcontroller platforms
- Experience with CMSIS-NN, Tensorflow lite, Edge Impulse
- Background with microcontrollers such as STM32, ESP32, or Nordic platforms
- Strong understanding of machine learning and deep learning architectures
- Fluent English
This is an opportunity to get in at the perfect time, work on one of the most technically ambitious AI deployments ever, learn from a team of A Players and exited founders, grow with the company and get equity.
TinyML Engineer | Deep R&D Tech Robotics Hyperscaler | London in City of London employer: AI Futures
Join a pioneering AI startup in London that is at the forefront of creating transformative autonomous systems. With a vibrant work culture that fosters innovation and collaboration, employees are encouraged to grow their skills and take on new challenges while contributing to groundbreaking projects. The company offers competitive equity options, making it an attractive place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land TinyML Engineer | Deep R&D Tech Robotics Hyperscaler | London in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your TinyML projects. This gives you a chance to demonstrate your hands-on experience and technical prowess, making you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Research the company and its tech stack, and be ready to discuss how your experience aligns with their needs. We recommend practising common interview questions related to TinyML and embedded systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals ready to dive into exciting projects like this one!
We think you need these skills to ace TinyML Engineer | Deep R&D Tech Robotics Hyperscaler | London in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with TinyML and embedded systems. We want to see how your skills in C/C++, Python, and microcontroller platforms align with the role.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're excited about this opportunity and how you can contribute to building the next generation of intelligent edge platforms.
Showcase Relevant Projects:If you've worked on any projects involving TinyML or real-time sensing, make sure to mention them. We love seeing practical applications of your skills!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people!
How to prepare for a job interview at AI Futures
✨Know Your TinyML Inside Out
Make sure you brush up on your TinyML knowledge before the interview. Be ready to discuss your hands-on experience with microcontrollers and optimisation techniques like quantisation and pruning. The more specific examples you can provide, the better!
✨Show Off Your Coding Skills
Since a strong background in C/C++ and Python is essential, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to embedded systems and machine learning.
✨Understand the Company’s Vision
Research the company’s mission and their innovative approach to AI and robotics. Being able to articulate how your skills align with their goals will show that you’re genuinely interested and invested in their success.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their current projects, team dynamics, or future plans for scaling. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
