Senior Computer Vision / AI Engineer
At a glance
Senior Machine Learning Engineering role at Bloq.it. Porto.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build video-based vision pipelines that detect, track and recognize parcels in real time, with speed and reliability in mind
- Tune critical code for aarch64 using NEON/SIMD, quantization and threading, then profile its performance
- Combine frame-by-frame results over time and fuse sensor inputs to identify physical states and events
- Create benchmarks and ground-truth tools to check whether perception systems work as intended
- Work with firmware and product teams to connect sensor data to operational decisions
What you bring
- You have deep computer-vision experience, including OpenCV, image geometry and signal processing
- You have run computer vision on edge or resource-limited ARM, embedded or mobile hardware
- You write Python and use C/C++ where performance demands it
- You can handle real-time video pipelines, synchronization, tracking and temporal reasoning
- You can take an unclear problem from start to finish and set its technical direction
Who this fits
This senior role suits a hands-on computer vision engineer comfortable measuring results and working through ambiguity without relying on fully prepared data. The role is based in Porto, Portugal, with a remote-friendly policy and flexible hours.
From the employer
You've probably walked past our lockers on the streets of your city. That's where it starts! But we're building something much bigger: the infrastructure layer for how Europe receives deliveries.
We've scaled past €100M in revenue across 9 countries in under four years, with tens of millions of people using our products every month. And we're now one of the fastest growing tech scale-ups in Europe.
We are in search of a Senior Computer Vision / AI Engineer to join our innovative team as our new #bloqstar. In this role, you'll play a crucial role in the Bloq.X team and you'll be helping us getting our hardware to see and understand the physical world of parcels and storage reliably and in real time.
Fair warning: we're scaling fast and the data and reporting capabilities are scaling with us. You'll often need to pull from multiple systems and build the picture yourself before you can analyse it. If you need everything pre-structured to do good work, this isn't the role.
What you’ll be doing:
Design and optimize computer-vision pipelines for real-time detection, tracking, and recognition from video, with latency and robustness front of mind.
Port and accelerate the performance-critical code for aarch64, using NEON/SIMD, quantization, threading, and a lot of honest profiling.
Build the temporal reasoning that turns noisy per-frame output into something you can trust.
Integrate sensor fusion to detect state and events out in the physical environment.
Own the benchmarking and ground-truth tooling, because without it there's no real way to know what works.
Close the loop with firmware and product, all the way from the sensor to the operational decision.
What you’ll bring to the table:
Deep experience in computer vision, both the classical side and the applied side. Real OpenCV, image geometry, signal processing.
A track record of running CV on the edge or on resource-constrained targets (ARM, embedded, mobile), not only on cloud GPUs.
Strong Python, plus C/C++ for the paths where performance actually matters.
Comfort with real-time video: pipelines, synchronization, tracking, temporal reasoning.
A first-principles way of thinking and a habit of measuring things. You're the kind of person who says plainly when something doesn't work.
Enough seniority to take an ambiguous problem from end to end and set the technical direction for it yourself.
It would be great if you would also have:
Applied deep learning for detection, recognition, or OCR when it earns its place, and the judgment to know when it doesn't.
Sensor fusion experience (ToF, IR, stereo, monocular depth).
Embedded Linux (Buildroot or Yocto, Wayland, systemd, fast boot), or Android kiosk and CameraX.
Deploying and keeping an eye on pipelines across a fleet of devices.
Some hands-on hardware experience: sensors, PCBs, industrial cameras.
Why join us?
The opportunity to join our Bloq.X team and play a pivotal role in Building perception that lets hardware understand the physical world while contributing to innovative solutions that redefine Bloq.it's revolution in the smart locker industry ;
A dynamic and fast-paced work environment with a culture of innovation, collaboration, and continuous learning ;
Competitive salary and flexible benefits package, tailored to your experience and skills ;
Eligibility for performance-based bonus, tied to your results and designed to reward your impact ;
Work how you work best - we offer a remote-friendly policy and flexible hours so you can stay productive and keep life balanced ;
Portuguese Health Insurance including mental health ;
Flexible Sports and Wellness membership covering multiple gyms and studios
Unlimited days off (subject to manager approval).
Bloq.it is an equal opportunity employer. Hiring decisions are based on merit, competence, and qualifications and not on race, gender, nationality, or any other personal characteristic.
If you require any special arrangements during the recruitment process, please let us know so that we can accommodate you in the best possible way.
Ready to join the revolution?