About The Position
We are expanding our team and opening new remote opportunities! We invite a Senior Software Engineer with deep hands-on experience in Python, Computer Vision, and Machine Learning to join our team working on a production-grade project in the restaurant technology space. In this hands-on engineering role, you'll build and maintain a live drive-thru Computer Vision system that recognizes vehicles and helps automate order-related processes in real time.
Requirements
- 5+ years of experience in Computer Vision and Machine Learning in production environments
- Strong software engineering background with solid Python skills and experience building and maintaining production-grade systems
- Hands-on experience with PyTorch and object detection models (YOLO)
- Hands-on experience with OpenCV
- Strong understanding of the ML lifecycle (training, evaluation, deployment)
- Experience fine-tuning models, improving system performance, and troubleshooting production issues
- Ability to work independently and take end-to-end ownership
- Proactive, self-organized mindset with strong communication skills
- Experience collaborating in distributed teams and working directly with clients and senior stakeholders
- Upper-Intermediate+ English level (written and spoken)
- Willingness and ability to travel to the U.S. occasionally (valid visa required)
Nice To Haves
- Experience with TensorFlow
- Understanding of Advanced Data Structures (Trees, Graphs)
- Experience working with LLMs
- Experience mentoring or guiding other engineers
- Experience in restaurant tech or similar domains
Responsibilities
- Work on day-to-day engineering tasks and support the continuous delivery of a live production system
- Fine-tune and optimize ML models to improve system performance in real-world conditions
- Contribute to new feature development and system enhancements to meet evolving requirements
- Identify, analyze, and troubleshoot issues in a production environment
- Collaborate with the team and client stakeholders on requirements and solutions
- Support on-the-ground testing and validation in a dedicated real-world demo environment
Benefits
- 30 paid days off per year
- 5 paid sick days
- up to 60 days of medical leave
- up to 6 paid days off per year for major family events
- Partially covered health insurance after the probation
- wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months
- We pay in U.S. dollars
- cover all approved overtime
- Join English lessons
- Dev.Pro University programs
- take part in fun online activities and team-building events
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
251-500 employees
