Lead - Computer Vision and ML Researcher
Mumbai
Fynd
Founded in 2012, Fynd is a multiplatform tech company specializing in retail-tech solutions, empowering 2,300+ brands. Explore our work in Commerce, AI, Big Data, Payments, Gaming, NFT, and LearningFounded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG.
We are headquartered in Mumbai and are a company of more than 750 people. Fynd has 1000+ brands under management, more than 10k stores and servicing 23k + pin codes.
Everybody these days is making products, everyone is hiring technology ninjas! We aren’t looking for ninjas, samurais or warriors, we are looking for YOU:
* If you know the difference between worKING and work-eh-ing* You know when to stop, how to unwind and take a breakk!* Unafraid to ask for help & unashamed to ask again* If you are good at what you do & acknowledge when you mess up (We all mess up some time)* You learn, execute, learn again and talk about the insights you gained
Then YOU are the chosen one that we are looking for….
We are looking for a Computer Vision lead to join our Machine Learning Research group. The ideal candidate should have a proven track record in computer vision research and experience in managing machine learning teams. You will create new models, algorithms and approaches to solve challenging machine learning problems and create the research roadmap for our products. Some of our problems areas include Deep Learning, Generative Models and 3D computer vision.
Please find our research page : https://research.fynd.com/
What will you do at Fynd?
- Lead a team of enthusiastic developers that is responsible for developing end-to-end solutions for products
- You will participate in cutting-edge research in machine learning and computer vision
- You will have the freedom to write research papers and publish yourself in top conferences
Some specific Requirements
- A BS, MS, Ph.D. or equivalent experience in a quantitative field (Computer Science, Applied Mathematics or related technical field).
- Experience in one or more of the following areas - Unsupervised Learning, Compression, Generative Models, 3D computer vision, Object detection and tracking, or related computer vision topics
- Multiple publications in top conferences
- Strong background and understanding of mathematical concepts relating to probabilistic models, linear algebra, and probability
What's in it for you:
- An attractive remuneration package
- Opportunity to collaborate with some of the brightest and best minds in India
- We pride ourselves in helping you realise your potential and give you the opportunity to be innovative
GrowthWe are a company that has grown more than 2x in people, 3x in products and 4x in office presence, in the past 1 year alone. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially.Flex University: We help you upskill by organising in-house courses on important subjectsLearning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.
Other Perks A lucrative Retention BonusESOP for people who go above and beyondBest in the market salary and appraisal
CultureWe listen to people: Make big + small changes wherever required. Go on Workcations all year long. Host weekly, quarterly and annual events/parties.
WellnessMediclaim policy for you + parents + spouse + kidsExperienced therapist for better mental healthCoaching to improve productivity & work-life balance
We work 5 days from the office and we make sure people have everything they need:-* Free meals* Shuttle service* Snacks, goodies & a lot fun culture
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Computer Vision Crypto DataOps Deep Learning Generative modeling Linear algebra Machine Learning Mathematics Research Unsupervised Learning
Perks/benefits: Career development Conferences Flex vacation Snacks / Drinks Team events
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