[Hiring] ML Research Engineer - Computer Vision @Entrupy

Role Description

We are seeking a Machine Learning Engineer with expertise in classical Computer Vision and Deep Learning to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting.

• Drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis.
• Oversee the optimisation of image capture solutions on edge devices and ensure models are interpretable, scalable, and robust.
• Collaborate cross-functionally to define and deliver impactful projects and contribute to thought leadership in the computer vision domain.

Qualifications

• Bachelor's or Master’s in Electronics, Physics, Computer Science, or related field.
• 3-6 years in computer vision and machine learning development.
• Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies.
• Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA.
• Extensive experience in designing, training, and deploying CV models at scale, including 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.
• Skilled in deploying and optimising models for iOS devices, with a focus on real-time data processing and resource efficiency.
• Ability to articulate technical concepts and collaborate in cross-functional, global teams.
• A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges.

Requirements

• Define the technical roadmap for computer vision projects, aligning with business goals and customer needs.
• Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence.
• Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications.
• Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability.
• Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems.
• Optimise algorithms for edge device deployment, focusing on latency, accuracy, and power consumption.
• Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions.
• Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance.
• Drive best practices in code quality, testing, and documentation. Review and refine code, ensuring modularity, reliability, and adherence to industry standards.
• Analyse production data to identify opportunities for continuous improvement in algorithms and systems.

Benefits

• Market-competitive and pay equity-focused compensation structure.
• Generous time away, including company holidays, paid time off, sick time, parental leave, and more!
• The 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.