Lead Computer Vision Scientist: Edge/Cloud Motion Detection

SQUAD Ukraine Limited

Wrocław

Hybrid

PLN 150,000 - 250,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Performance bonus
Loyalty bonus
UoP contract (Polish law)
Paid vacation
Medical leave
English classes
Knowledge hubs

Job summary

SQUAD Ukraine Limited in Poland invites a seasoned ML researcher specializing in computer vision to join a distributed team. You will explore innovative algorithms and deploy models for edge or cloud environments, balancing performance and scalability.

Day-to-day work includes setting up experiments, training and validating models, and reporting results. You will mentor juniors, collaborate with cross‑functional teams, and publish findings to advance the company’s research agenda.

Qualifications

  • 4+ years in machine learning with a focus on computer vision.
  • Experience with classification, detection, or segmentation problems.
  • Proficient in Python and ML libraries (NumPy, scikit-learn, pandas, SciPy).
  • Strong written and spoken English.

Responsibilities

  • Develop innovative ML algorithms and deploy them in production.
  • Analyze large datasets to find correlations and visualize results.
  • Tune hyperparameters to improve model performance.
  • Collaborate with colleagues from other departments.
  • Report progress and project achievements to management.
  • Explore new ML technologies and integrate them into workflows.
  • Mentor junior teammates and share knowledge.

Skills

Machine learning
Computer vision
Python
English proficiency
Model deployment

Tools

PyTorch
NumPy
scikit-learn
pandas
SciPy

Job description

SQUAD Ukraine Limited in Poland invites a seasoned ML researcher specializing in computer vision to join a distributed team. You will explore innovative algorithms and deploy models for edge or cloud environments, balancing performance and scalability.

Day-to-day work includes setting up experiments, training and validating models, and reporting results. You will mentor juniors, collaborate with cross‑functional teams, and publish findings to advance the company’s research agenda.

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