SQUAD

More roles at SQUAD

Lead Applied Scientist

Region Restricted

Remote work allowed only within certain countries or regions.

Employer listed it 5 days ago · Added 5 weeks ago

Been open since 5 weeks ago, still being checked, but it has been live a while.

Salary

Not stated

Location

Timezone

Not stated

Contract

Full-time

Experience

Lead

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Location eligibility not confirmed
Contract: Not mentioned in the advert
Experience asked for: 5+ years of experience in research, data science, or data analysis
Pay: Competitive compensation and perks

Remote flexibility

Region Restricted

Remote work is allowed, but only for candidates based in Ukraine, Poland.

What the employer says

Source listing states candidate location: "Kyiv; Lviv; Remote, Brno, Kyiv, Lviv, Remote, Wroclaw"

What Nomaders makes of it

Applications outside the listed area are usually rejected
Timezone overlap with the listed area is often expected

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

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

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

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
·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

How to apply

1Check the flexibility label above, region restricted, matches where you plan to live and work.
2Tailor your CV to the role at SQUAD, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.