Computer Vision Engineer - Applied AI / Production ML (Hybrid)Evolution USA • Boston, Massachusetts, United States
Computer Vision Engineer - Applied AI / Production ML (Hybrid)
Evolution USA
- Boston, Massachusetts, United States
- Boston, Massachusetts, United States
Über
This is a high-impact engineering role, not a research position. You’ll be working on applied computer vision problems where performance, robustness, and real-world usability matter, not just model accuracy on paper.
When you enjoy taking models from idea through to production and real usage, this is the kind of environment where your work will have immediate impact.
What you’ll be doing
Building and deploying computer vision models into production environment
Working on practical challenges such as model performance and optimization
Iterating on models, experimenting, validating approaches, and improving performance
Writing clean, production-ready code as part of a broader platform
Collaborating closely with end users to understand real-world problems and translate them into working solutions
Your background
2+ years’ experience in applied computer vision / machine learning
Strong Python skills with libraries such as PyTorch / TensorFlow / OpenCV
Hands-on experience with model deployment, ideally into production or near-production environments
Someone who experiments, iterates, and improves models rather than simply implementing a single approach
Strong experience working on real-world datasets and messy environments
Startup or small-team experience with high ownership
Exposure to model optimization and performance tuning
What this is not
Not a research-heavy role
Not focused on robotics, 3D vision, or purely academic work
Not suited for candidates who prefer theory over building
Why this role stands out
Your work is deployed into real operational environments, not left only in notebooks
High ownership, small team, meaningful impact from day one
Strong backing and clear growth trajectory
Equity and competitive compensation
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.