Machine Learning Engineer, Object Tracking & Re-Identification

NestAI; Helsinki; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Occupational healthcare

Epassi Flex benefit

Lunch benefit

Regular team lunches

Mac or PC

Holiday allowance

Phone benefit

Benefits as we grow

Job summary

NestAI in Helsinki is seeking a senior/lead Edge AI engineer to shape tracking and re-identification within the ATR pipeline. You will design and implement MOT and re-id components, keep object IDs coherent across frames online and offline, and collaborate with detectors and validation pipelines.

You’ll mentor junior engineers, influence how tracking fits into the ATR system, and ensure robust performance under occlusions and across sessions.

Qualifications

• Hands-on video analytics experience in industry settings.
• Strong background in multi-object tracking (MOT) with online/offline capabilities.
• Experience with object re-identification (re-id).
• Solid understanding of object detection as a basis for tracking/re-id.
• Experience with model optimization for edge inference is a plus.

Responsibilities

• Design and implement tracking and re-identification algorithms as part of the ATR pipeline.
• Build tracking that works online (live video) and offline (recorded video), maintaining coherent IDs across frames.
• Solve re-identification challenges after occlusion or across different video sessions.
• Collaborate with detector development and model optimization engineers to integrate tracking/re-id into the pipeline.
• Work with the validation pipeline to benchmark tracking/re-id accuracy.
• Mentor and guide junior team members.

Skills

Video analytics

MOT tracking

Re-id

Object detection

Mentoring

Education

Academic background

Tools

GStreamer

DeepStream

DLStreamer

Job description

Company

NestAI is a European AI lab for defence delivering the adaptive operating system for modern battlefield operations. We develop adaptive intelligence for unmanned and command systems: AI that continuously learns from operational data and adapts to changing conditions.

NestOS is our open, modular and interoperable platform that enables this at scale and keeps capability evolution under sovereign European control. Founded in 2025 by Peter Sarlin, whose previous company Silo AI became Europe's largest AI acquisition, NestAI brings together over 200 engineers and scientists and partners with leading European defence forces and industry.

Role Description

You’ll join NestAI's Edge AI Chapter, working on our Automatic Target Recognition (ATR) pipeline that runs on unmanned and command systems. This role is focused on tracking and re-identification: keeping coherent object IDs across frames in real time, and re-matching objects after occlusions or across separate video sessions.

This is a senior/lead role: you'll help shape how tracking and re-id fit into the wider ATR pipeline, and guide junior engineers on the team.

Day-to-Day Responsibilities:

• Designing and implementing tracking and re-identification algorithms as part of NestAI's Automatic Target Recognition (ATR) pipeline.
• Building tracking that works both online (live video) and offline (recorded video), maintaining coherent object IDs across frames in a spatio-temporal sense.
• Solving re-identification challenges: telling objects apart after occlusion, or recognizing the same object (e.g. a vehicle) across separate video streams captured at different times.
• Collaborating closely with the detector development and model optimization engineers to integrate tracking/re-id into the shared pipeline.
• Working with the validation pipeline to benchmark tracking and re-id accuracy.
• Mentoring and helping guide junior team members.

Qualifications:

• Previous experience in an industry context, with a track record of taking systems into production.
• Hands-on video analytics experience.
• Strong background in multi-object tracking (MOT), covering both online and offline tracking with coherent ID maintenance across frames.
• Experience with object re-identification (re-id).
• Solid understanding of object detection, since tracking and re-id build directly on detector output.
• Experience with GStreamer, DeepStream (NVIDIA) or DLStreamer (Intel) is a plus.
• An academic background is a plus.
• Background in 3D vision is a plus.
• Experience with model optimization for edge inference (quantization, pruning) is a plus.
• Experience building or working with ML validation/benchmarking pipelines is a plus.

Why join NestAI

At NestAI, you’ll build meaningful, real-world technology as part of a world-class team of engineers, scientists, and experienced professionals. You’ll work on systems where reliability genuinely matters, contribute to Europe’s security and resilience, and solve problems that demand depth, trust, and craftsmanship.

If you want to build with purpose - and with leading experts in the field - you’ve come to the right place.

What we offer

We offer a growing set of practical benefits to support your work and wellbeing, day to day:

• Occupational healthcare (currently provided by Mehiläinen)
• Epassi Flex benefit (sports, culture, commuting, wellbeing)
• Lunch benefit (25% tax-free coverage)
• Regular team lunches and all-hands events
• Your choice of Mac or PC
• Holiday allowance (50% of holiday salary)
• Phone benefit according to company policy (subscription and device)
• We are continuously developing and expanding our benefits as we grow.

Practicalities

Employment is subject to applicable security screening (including SUPO, where required).

NestAI is an equal opportunity employer. We consider all applicants based on their skills, experience, and potential.