Senior ML Research Engineer - Computer Vision

• 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.
• Optimize 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.
• Analyze production data to identify opportunities for continuous improvement in algorithms and systems.

• Education: Bachelor&aposs or Master&aposs in Electronics, Physics, Computer Science, or related field.
• Experience: 4-7 years in computer vision and machine learning development.
• Core Expertise:
• 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.
• Mathematical Proficiency: Strong foundation in probability, statistics, optimization, linear algebra, and geometry.
• EdgeML Experience: Skilled in deploying and optimizing models for iOS devices, with a focus on real-time data processing and resource efficiency.
• Collaboration & Communication: Ability to articulate technical concepts and collaborate in cross-functional, global teams.
• Ownership & Drive: A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges.

• Market competitive and pay equity-focused compensation structure
• Hybrid with Flexible work from anywhere for 4-8 weeks per year
• Generous time away, including company holidays, paid time off, sick time, parental leave, and more!
• Rich medical benefits and insurance coverage.
• 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.

We have had an incredible run so far and laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values we hire by them, promote them, and celebrate them every day.

If you are a visionary Computer Vision / ML engineer with extensive experience in crafting production-ready solutions, a passion for mentoring, and a desire to solve impactful challenges, we&aposd love to connect!

Entrupy embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone.