SQUAD

More roles at SQUAD

Applied Scientist (Computer Vision)

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

Work style

Async

Contract

Full-time

Experience

Mid

What the advert says

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

Working hours: asyncio, aiohttp, and other async libraries for back-end
Where you can work from: Location eligibility not confirmed
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
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

Experience: employer states

Written as a requirement

“Practical experience in at least one of the following problems: classification, detection, segmentation”

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 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 will be 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

Model optimization: pruning, quantization, knowledge distillation

Basic understanding of web and client-server architecture

Requirements

·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

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 and working hours (Async).
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.