Applied Scientist (Computer Vision)

SQUAD Ukraine Limited; Wrocław; Hybrid; PLN 150,000 - 250,000; Full time

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

We are a distributed team that develops motion detection features for both Cloud and Edge environments, ensuring high performance and adaptability for diverse deployment needs. You can choose to focus on either Edge or Cloud solutions. Those interested in Edge will work on advanced computer vision algorithms and sensor-based detection methods to enable efficient real-time performance directly on devices. Those focusing on Cloud will develop scalable, high-performance motion detection solutions using cloud-based technologies, optimizing collaboration between Edge and Cloud for the best results.

You willbe responsible for day-to-day research tasks, such as setting up hypotheses, gathering data for experiments, training and validating ML models, validating results, and writing a paper on your results.

Responsibilities and Duties

• Develop innovative machine learning algorithms. Implement advanced methods and technologies in model development
• Analyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretation
• Tune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracy
• Provide consultations and collaborate with colleagues from other departments
• Report progress and project achievements to management
• Explore and evaluate new technologies in the field of machine learning. Implement cutting-edge ideas and techniques into production processes
• Engage in continuous self-improvement and technical skill development. Train and mentor junior colleagues to enhance the overall competence level within the team

Qualifications and Skills

• 4+ years in machine learning (computer vision domain)
• Practical experience in at least one of the following problems: classification, detection, segmentation
• Python3, NumPy, scikit-learn, pandas, SciPy
• Deep learning frameworks: PyTorch
• Experience in deploying machine learning models to production
• Good understanding of machine learning and deep learning concepts
• Good written and spoken English

Nice to have

• Practical experience with GANs, VAEs
• Probabilistic programming and bayesian framework
• Basic understanding of web and client-server architecture
• asyncio, aiohttp, and other async libraries for back-end
• Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing
• Algorithms, data structures
• SQL, NoSQL

We offer multiple benefits that include

• The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member
• Competitive salary packages with performance-based annual reviews
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company
• Employment via Contract of Employment (UoP) in complete alignment with Polish Labour Law
• Guaranteed paid vacation, public holidays, and medical leaves as per statutory regulations
• Continuous growth and development opportunities through internal knowledge hubs, corporate courses, and free English classes
• Comprehensive private medical insurance to supplement your standard NFZ coverage.