ML Research Engineer – Computer Vision

Entrupy

. Define the technical roadmap for computer vision projects, aligning with business goals and customer needs .

Posted 10/31/2026full-timeRemote • Austria, Bulgaria, Hungary, Romania, IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying computer vision models and algorithms, with a strong foundation in machine learning techniques and proficiency in Python and C++. Capable of mentoring junior engineers and collaborating with cross-functional teams to align technical solutions with business objectives.

Highest-signal resume keywords

Computer Vision DevelopmentMachine Learning TechniquesPython ProgrammingDeep Learning ExpertiseModel Deployment and Optimisation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computer Vision TechniquesFeature ExtractionImage ProcessingDeep LearningAlgorithm OptimisationModel TrainingModel DeploymentAPI DesignStatistical AnalysisLinear Algebra

Soft Skills

MentoringTechnical GuidanceCollaborationProactive Problem-SolvingCommunication

Tools & Technologies

PyTorchHuggingFaceOpenCVCUDAFastAPITensorRTNvidia TritonRay

Industry Keywords

Computer VisionMachine LearningEdge Device OptimisationReal-Time Data ProcessingCross-Functional Collaboration

Tech Stack

Tools & technologies

iOSPythonPyTorchRayC++

About the role

Key responsibilities & impact

Define the technical roadmap for computer vision projects, aligning with business goals and customer needs
Mentor and provide technical guidance to junior engineers
Design and develop computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture, and related applications
Introduce novel computer vision and machine learning techniques to improve model performance and scalability
Oversee production deployment of machine learning models
Optimise algorithms for edge-device latency, accuracy, and power consumption
Work with internal and external stakeholders to understand product requirements, define project scopes, and deliver solutions
Collaborate with engineering teams to integrate computer vision models into broader system architectures
Drive best practices in code quality, testing, and documentation
Review and refine code for modularity, reliability, and industry-standard compliance
Analyse production data to identify continuous-improvement opportunities
Contribute to thought leadership in computer vision

Requirements

What you’ll need

Bachelor's or Master’s in Electronics, Physics, Computer Science, or related field
3-6 years in computer vision and machine learning development
Proficiency in traditional computer vision techniques, including feature extraction and image processing
Deep learning expertise
Advanced knowledge of Python and C++
Expertise with PyTorch, HuggingFace, OpenCV, and CUDA
Experience designing, training, and deploying computer vision models at scale
Experience with distributed training and inference pipelines
Expertise in API design and deployment for ML model services such as FastAPI, TensorRT, Nvidia Triton, and Ray
Strong foundation in probability, statistics, optimisation, linear algebra, and geometry
Experience deploying and optimising models for iOS devices, including real-time data processing and resource efficiency
Ability to articulate technical concepts and collaborate in cross-functional, global teams
Proactive approach, high degree of ownership, and eagerness to tackle complex challenges

Benefits

Comp & perks

Market-competitive and pay equity-focused compensation structure
Generous time away, including company holidays, paid time off, sick time, parental leave, and more
Agency to innovate, directly impacting product features and customer experiences
Opportunity to be part of the core team in a growing setup
Opportunities to publish research, contribute to patents, and further develop CVML and edgeML expertise
Flexible schedules focused on outcomes rather than clock-watching