Lead Applied Scientist

🕒 August 6

🇺🇦 Ukraine – Remote

⏳ Contract/Temporary

🟠 Senior

🧬 Research Scientist

👻 Ghost score 16%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of SQUAD

SQUAD

501 - 1000 employees

Founded 2016

🔧 Hardware

🤖 Artificial Intelligence

🤝 B2B

Hardware • Artificial Intelligence • B2B

SQUAD is a camera engineering and R&D services company that develops end-to-end AI-powered camera products. From concept to manufacturing readiness, they cover sensor and optics selection, PCB and firmware design, embedded systems, edge AI and computer vision, cloud streaming, mobile apps, and ML infrastructure. SQUAD operates a 6,500 m² Innovation Lab with hardware and video/image-quality testing, and offers product strategy, lifecycle support, data collection and annotation, MLOps for smart cameras, and scalable ML infrastructure. Their focus is on building production-ready smart camera systems for industries such as security & smart home, automotive, industrial/agritech, and public safety.

📋 Description

• Lead a team of 4-8 Applied Scientists to advance research projects and algorithmic performance using state-of-the-art or classical techniques • Own and maintain existing computer vision 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 • Drive full-cycle research development in the sensors domain • Guide the team to meet key milestones and timelines • Track team performance and report directly to the Head of Research

🎯 Requirements

• 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 • Nice to have: Experience with DSP, Computer Vision segmentation, Metric Learning, and Kalman filters • Nice to have: Experience with C++ or a willingness to develop strong C++ expertise • Nice to have: Experience with AWS and Docker

🏖️ Benefits

• 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.

Apply Now