Applied Scientist (Computer Vision)

SQUAD; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Performance-based bonuses

Remote work within Ukraine only

Professional development

Job summary

SQUAD is a distributed team building motion detection features for Cloud and Edge environments. You may focus on Edge or Cloud, working on real-time computer vision algorithms or scalable ML systems.

You will set up hypotheses, gather data, train models, validate results, and write papers detailing outcomes. Collaboration across departments and opportunities to publish are expected.

Qualifications

• 4+ years in machine learning (computer vision domain)
• Practical experience in classification, detection, or segmentation
• Proficiency with Python3 and ML libraries (NumPy, scikit-learn, pandas, SciPy)
• Deep learning framework experience (PyTorch)
• Experience deploying ML models to production
• Strong written and spoken English

Responsibilities

• Develop innovative machine learning algorithms and implement advanced methods
• Analyze large datasets to identify correlations and patterns; visualize results
• Tune hyperparameters and optimize models for better performance
• Collaborate with colleagues from other departments and report progress
• Explore and evaluate new ML technologies for production use
• Mentor junior colleagues and contribute to team capability growth

Skills

Python

NumPy

scikit-learn

pandas

SciPy

PyTorch

machine learning

English communication

Tools

Docker

Kubernetes

Kubeflow

C++

Bash

Job description

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 willbe 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
• asyncio, aiohttp, and other async libraries for back-end
• Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing
• Algorithms, data structures
• SQL, NoSQL
• Docker, Kubernetes, Kubeflow
• С++, Bash

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.