Senior ML Engineer: Real-Time Object Tracking & Re-Id

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

Benefits offered by this job

Occupational healthcare

Flex benefits

Lunch benefit

Team events

Equipment choice

Holiday pay

Phone benefit

Job summary

NestAI's Edge AI Chapter seeks a senior/lead engineer to advance our Automatic Target Recognition (ATR) tracking and re-identification pipeline for unmanned and command systems. You’ll design online and offline MOT, maintain coherent IDs across frames, and mentor junior engineers on the team.

You’ll collaborate with detector and model optimization engineers to integrate tracking into the shared ATR pipeline, benchmark accuracy, and help shape deployment strategies for edge inference.

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.

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.

Skills

MOT (multi-object tracking)

Re-id

Object detection

Video analytics

3D vision

Edge inference

Mentoring

Collaboration

Tools

GStreamer

DeepStream

DLStreamer

Job description

NestAI's Edge AI Chapter seeks a senior/lead engineer to advance our Automatic Target Recognition (ATR) tracking and re-identification pipeline for unmanned and command systems. You’ll design online and offline MOT, maintain coherent IDs across frames, and mentor junior engineers on the team.

You’ll collaborate with detector and model optimization engineers to integrate tracking into the shared ATR pipeline, benchmark accuracy, and help shape deployment strategies for edge inference.