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 grow with a rapidly scaling company and make a real impact.
- 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 & optimize 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 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 while contributing to groundbreaking projects. The company offers competitive equity options, a supportive environment for professional development, and the chance to be part of a team that is shaping the future of physical world intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land TinyML Engineer | Deep R&D Tech Robotics Hyperscaler | 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 that can land you that TinyML Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your TinyML projects or any relevant work. We recommend sharing this on platforms like GitHub or even your own website. It’s a great way to demonstrate your hands-on experience with microcontrollers and ML models.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C/C++ and Python skills. We suggest doing mock interviews with friends or using online platforms to practice. Being confident in your coding abilities will help you shine during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in being part of our innovative team.
We think you need these skills to ace TinyML Engineer | Deep R&D Tech Robotics Hyperscaler | London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the TinyML Engineer role. Highlight your experience with embedded ML, C/C++, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and robotics, and explain why you're excited about this opportunity. Let us know how you can contribute to shaping the next generation of intelligent edge platforms.
Showcase Your Projects:If you've worked on any TinyML or microcontroller projects, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work that demonstrate your hands-on experience.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can't wait to see what you bring to the table!
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 how you've implemented TinyML models in real-world scenarios. This is your chance to showcase your expertise in ARM Cortex-M, RISC-V, and any custom accelerators you've worked with.
✨Showcase 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 or discuss your previous projects. Have examples ready that highlight your ability to develop real-time sensing and control pipelines.
✨Understand the Company’s Vision
Research the company’s mission and their innovative approach to creating autonomous systems. Be prepared to discuss how your skills can contribute to their goal of connecting the physical world to organisations. Showing that you align with their vision will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to machine learning architectures and optimisation techniques like quantisation, pruning, and compression. Brush up on these topics and think of examples where you've applied them. This will demonstrate your depth of knowledge and readiness for the role.
