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Lead Applied Scientist

Role overview

Qualifications

  • 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
  • Deep theoretical and practical applied knowledge of Computer Vision algorithms

Responsibilities

  • Lead a team of 4-8 Applied Scientists to advance research projects and algorithmic performance
  • 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

About the company

SQUAD logo

SQUAD

Software Development

We are a research and delivery team working on impactful products. We are gathering top notch minds in domains such as Research, Embedded, Hardware, Mobile, QA, Infrastructure, Delivery, Product and Design, and Analytics to collaborate on the latest smart home security/IoT. Our modern labs feature test devices and leading optical equipment, creating a unique opportunity to work and innovate on real R&D in Ukraine. We are a growing team that operates with a startup spirit to generate solutions for products and raise the bar with every detail. We pull together strong performers and foster an environment for creativity and discovery. We believe that the synergy of outstanding people and this environment can tackle any global challenge. Forget good. Do great in SQUAD.

Company details

IndustrySoftware Development
Company size1001 - 5000

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Job description

Job Summary

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 compensation and perks
  • Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company
  • Gig-contract
  • 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation
  • Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves
  • Medical insurance is provided from day one. Sick leaves and medical leaves are available
  • Remote working mode is available within Ukraine only
  • Free meals, fruits, and snacks when working in the office.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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