Applied Scientist (Computer Vision)
squad Open At a glance
Mid-level AI Research role at squad. Remote, Ukraine.
Pay not stated AI Research salary
remoteroles summary, based on the employer's posting.
What you'll do
- Form research questions, collect experiment data, train and validate models, and document results in a paper
- Create machine-learning approaches for motion detection, with a choice between Edge and Cloud work
- Find patterns in large datasets, show results visually, and refine models for stronger performance and accuracy
- Move new machine-learning techniques into production and update management on project progress
- Consult with colleagues and coach junior teammates while building your technical skills
What you bring
- At least four years working in machine learning with a computer-vision focus
- Practical experience in classification, detection, segmentation or another listed problem
- Experience with Python3, PyTorch and the listed data-science libraries
- Hands-on experience deploying machine-learning models, plus a strong grasp of ML and deep-learning concepts
- Good written and spoken English
Who this fits
This role suits a mid-level computer-vision practitioner interested in motion detection research and model development. You can choose to focus on Edge or Cloud solutions. The work includes mentoring junior colleagues, and remote work is available within Ukraine.
From the employer
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
- 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.
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