As we continue to build...
We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.
About the role
We are seeking a Machine Learning Engineer to contribute to the development of computer vision algorithms focused on item authentication and fingerprinting.
In this role, you will research and develop algorithms and models aimed at accurately determining the authenticity of items through the analysis of their unique visual characteristics, facilitating reliable identification and fraud prevention. You will also create and refine algorithms that assign a unique digital identity to items based on image data, effectively fingerprinting them.
To support these efforts, you will refine the image capture experience on edge devices, ensuring customers can easily and seamlessly capture high-quality images. Moreover, model interpretability is a key focus of this role, ensuring that the machine learning algorithms are both accurate and easily comprehensible. You will also build and maintain APIs to efficiently deploy these models in production, enabling seamless integration and scalability.
Reports to: ML Lead
Location: Bangalore, India (Hybrid)
What You'll Do:
- Algorithm Research & Development: Research, design, and train computer vision models for authentication, fingerprinting, image capture and other customer-centric computer vision applications, with a strong emphasis on delivering solutions that meet key performance metrics.
- Continuous Learning & Contribution: Stay current with advancements in CV and ML, contribute to tech talks, research papers, patents, and thought leadership in the field, and take the initiative in implementing cutting-edge solutions across the organization.
- Model Productization: Take models from research to production by building APIs to serve them efficiently, ensuring they integrate smoothly within larger applications and that they are scalable, resilient, and meet performance benchmarks.
- Performance Optimization: Identify and implement strategies for improving the speed and efficiency of models in production, focusing on resource utilization and response times.
- Proposal Writing: Prepare persuasive, data-driven proposals that clearly communicate the benefits and expected outcomes of proposed algorithms to stakeholders.
- Collaboration with Internal Customers and Engineering Teams: Work closely with internal customers to understand their needs and gather feedback on algorithm performance, interpretability and usability while partnering with engineering teams to integrate models into existing systems, ensuring seamless functionality and performance.
- Code Quality, Testing & Reviews: Write clean, modular, and well-tested code. Develop unit and integration tests to maintain high standards of code quality and reliability in production environments. Participate actively in code reviews, contributing to pull requests and collaborating with team members to share knowledge and best practices across the team.
Who you are:
- Bachelor's or Master’s degree in Electronics, Physics, Computer Science, or related field.
- 1-4 years of hands-on experience in Computer Vision algorithm development and deployment.
- Expertise in both traditional (image processing, feature detection and description, geometric computer vision) and modern computer vision (deep learning).
- Strong in Python. Experience with PyTorch, OpenCV, FastAPI.
- Strong foundational skills in probability & statistics, calculus, geometry, optimization and linear algebra.
- Experience in API design and building APIs to serve ML models in production.
- Experience with distributed training or inference pipelines.
- Ability to rapidly acquire new skills and technologies as needed for the role.
- Familiarity with deploying models on edge devices, handling real-time data processing, and optimizing for low latency and high efficiency.
- Ability to articulate complex technical concepts clearly in a global, cross-functional team environment.
- High degree of ownership and self-direction; a proactive approach to driving impactful solutions.
- Willingness to contribute to code reviews and mentor peers, fostering a collaborative and knowledge-sharing culture.
What we offer
- 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 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 hands-on Computer Vision engineer eager to bring cutting-edge computer vision solutions to production, with a keen eye for quality and a passion for solving challenging problems, we’d 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.
Top Skills
What We Do
Entrupy is the only company using artificial intelligence to instantly authenticate luxury handbags and accessories. Our mission is to become the Verisign of physical goods to attack the $1.7 trillion sales of counterfeit goods globally. Entrupy’s authentication service uses patented computer vision algorithms and microscopy to bring trust to transactions of high-value physical goods. Currently in use by hundreds of secondary resellers and marketplaces worldwide, Entrupy provides the only independent, scalable technology capable of objectively authenticating luxury products.
