Senior Computer Vision and Deep Learning Engineer

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

Benefits offered by this job

Remote work flexibility

Bonuses for talks and articles

Generous time off

Personalized learning programs

Tech webinars and meetups

Job summary

Svitla Systems is seeking a Senior Computer Vision and Deep Learning Engineer for a full-time role focused on OCR pipelines and document understanding. You will train and deploy models, debug geometry pipelines, and collaborate across remote teams on shared codebases and client projects spanning Europe and the US.

The ideal candidate has deep experience with PyTorch, OpenCV, and dataset curation, plus strong scripting and debugging skills. Remote work is flexible with potential office options.

Qualifications

• Strong programming skills in Python and libraries such as NumPy and OpenCV.
• Hands‑on experience training and deploying deep learning models in PyTorch.
• Solid background in scene text and document understanding including text detection, text recognition, sequence decoding and layout grouping.

Responsibilities

• Own and improve the OCR pipeline end to end.
• Diagnose failures on real customer images and identify root causes.
• Develop and optimize text detection, recognition, decoding, and layout components.
• Work with image geometry, feature matching, homographies, RANSAC, and perspective transforms.
• Build and curate datasets, run augmentations and fine‑tuning, and conduct controlled experiments.
• Benchmark changes against tracked baselines and document measurable improvements.
• Use PyTorch, OpenCV, NumPy, Hydra, Weights & Biases, GPUs, containers, and Git.
• Collaborate with the team on shared codebases and provide clear technical analysis.

Skills

Python

Deep learning

Tools

PyTorch

OpenCV

NumPy

Hydra

Weights & Biases

Git

GitHub

Docker

Containers

Job description

Svitla Systems Inc. is looking for a Senior Computer Vision and Deep Learning Engineer for a full-time position (40 hours per week) in Europe. Our client is an American mobile computing company. The ideal candidate combines strong programming skills, hands‑on experience training and deploying deep learning models, and a systematic approach to failure analysis. You will work with scene text and document understanding, practical multi‑view geometry, and rigorous benchmarking, as part of a team collaborating on shared codebases and remote projects.

Requirements

• Strong programming skills in Python and key libraries such as NumPy and OpenCV.
• Hands‑on experience training and deploying deep learning models in PyTorch.
• Solid background in scene text and document understanding: text detection (segmentation‑ or regression‑based), text recognition (CTC‑, attention‑, or transformer‑based), sequence decoding and confidence calibration, grammar‑or lexicon‑constrained decoding, and reading‑order and layout grouping for key information extraction.
• Practical multi‑view geometry experience: local feature detection, description, and matching; homography estimation; robust estimation such as RANSAC and its variants; inlier analysis; and perspective warping.
• Ability to debug chained coordinate‑space transforms and polygon geometry.
• Systematic failure analysis skills: building an error taxonomy over a pipeline, turning anecdotal failures into reproducible test cases and quantified failure buckets, and running controlled ablations that isolate the responsible stage.
• Experience with dataset construction and curation, augmentation, synthetic and degraded data generation, domain adaptation, fine‑tuning, and hyperparameter sweeps.
• Discipline to benchmark rigorously before and after every change against tracked baselines.
• Proficiency with Hydra for configuration management and Weights & Biases for experiment tracking.
• Experience working on remote GPU servers and clusters and in containerized environments.
• Experience with Git and GitHub for version control.
• A habit of testing numerical and geometric code.
• Proven ability to collaborate effectively in a team, particularly on shared codebases and remote projects.
• Clear technical writing, including analysis reports that support decision‑making.

Responsibilities

• Own and improve the OCR pipeline end to end.
• Diagnose failures on real customer images and identify root causes.
• Develop and optimize text detection, recognition, decoding, and layout components.
• Work with image geometry, feature matching, homographies, RANSAC, and perspective transforms.
• Build and curate datasets, run augmentations and fine‑tuning, and conduct controlled experiments.
• Benchmark changes against tracked baselines and document measurable improvements.
• Use PyTorch, OpenCV, NumPy, Hydra, Weights & Biases, GPUs, containers, and Git.
• Collaborate with the team on shared codebases and provide clear technical analysis.

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote or our welcoming office.
• Bonuses for article writing, public talks, and other activities.
• Generous time off, including vacation, national holidays, sick leaves, and family days.
• Personalized learning programs tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Regular corporate online activities.
• Awesome team and a friendly, supportive community!