Lead Applied Scientist

SQUAD Ukraine Limited; Wrocław; On-site; PLN 180,000 - 260,000; Full time

Job summary

SQUAD Ukraine Limited is seeking a Lead Applied Scientist to drive full-cycle research development in the sensors domain from its Poland base. You will guide a team and report to the Head of Research, combining technical leadership with people management.

You will lead 4–8 Applied Scientists, own CV features, prototype new computer vision and sensor innovations, and collaborate with the data team to evaluate tests and optimize algorithms.

Qualifications

• 5+ years in research, data science, or data analysis.
• 1+ years leading a research group or technical team on data science projects.
• Strong software engineering background with production-ready solutions.
• Deep knowledge of computer vision algorithms.
• Proficient in Python and CS fundamentals.

Responsibilities

• Lead a team of 4-8 Applied Scientists to advance research projects and algorithmic performance using a mix of state-of-the-art or 'classical' techniques.
• Own and maintain existing CV features.
• Prototype new features within computer vision and sensor domains.
• Coordinate with the data team to analyze research test data, develop evaluation metrics, and optimize algorithms.

Skills

Team leadership

Python

Computer vision

Deep learning

Data analysis

English proficiency

Algorithms

Education

Bachelor’s degree in Math, CS, Robotics, or related field

Tools

AWS

Docker

C++

Job description

We are looking for a Lead Applied Scientist to join our Research team. In this role, you will drive full-cycle research development in the sensors domain and report directly to the Head of Research. You will guide the team to meet key milestones and timelines. Your focus will combine technical leadership in processing visual and low-level sensor data with people management and team performance tracking.

Responsibilities and Duties

• Lead a team of 4-8 Applied Scientists to advance research projects and algorithmic performance using a mix of state-of-the-art or "classical" techniques
• Own and maintain existing CV features
• Prototype new features within computer vision and sensor domains
• Coordinate with the data team to analyze research test data, develop evaluation metrics, and optimize algorithms

Qualifications and Skills

• 5+ years of experience in research, data science, or data analysis
• 1+ years of experience leading a research group or technical team on data science projects
• Strong background as a software engineer working on advanced algorithms, or as a researcher with a track record of shipping solid production-ready software engineering solutions
• Deep theoretical and practical applied knowledge of Computer Vision algorithms
• Solid understanding of deep learning frameworks, machine learning, and data analysis concepts
• Strong experience in Python
• Good knowledge of CS fundamentals, algorithms, and data structures
• Bachelor’s Degree in Math, Computer Science, Robotics, or a related field
• Proficient in written and spoken English

Nice to have

• Experience with LLMs and Generative AI frameworks
• Experience with DSP, Computer Vision segmentation, Metric Learning, and Kalman filters
• Experience with C++ or a willingness to develop strong C++ expertise
• Experience with AWS and Docker

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.