1. Exploring a depth understanding of ongoing computer vision research papers at league universities such as Stanford, Princeton, ETH Zurich, etc. in partnership with Industry or conferences such as CVPR, ICCV, NIPS, etc.
2. Researching how 2D/3D CV techniques are evolving from computational geometry to deep learning and their applications and challenges faced by ML scientists globally through content creation or networking
3. Working on being responsible for designing machine learning algorithms and implementing them in robust, efficient, and well-tested C++ and/or Python code
4. Prototyping state-of-the-art algorithms in one or all of the following areas- deep learning (convolutional neural networks), structure from motion, object detection/classification, scene understanding, disparity point cloud, 3D scene reconstruction, visual odometry, stereo vision, multi-sensor fusion, etc.
5. Understanding and identifying algorithms' relevance concerning domains use cases such as automotive, healthcare, and manufacturing based on latency, cost, and accuracy parameters
1. are available for full time (in-office) internship
2. can start the internship between 5th Aug'22 and 9th Sep'22
3. are available for duration of 6 months
4. have relevant skills and interests
Added requirements
1. Candidate with masters/PhD in related curriculum and/or relevant work experience preferred
Perks
Certificate Letter of recommendation Informal dress code Free snacks & beverages Job offer
Additional information
Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of Rs. 800000 to 1100000 /year
Perks and benefits:
1. Work from a city near the hills
2. Opportunity to be ahead of the curve with practical exposure to the latest computer vision research
3. A fast-paced environment where we work with talented, committed, and supportive teammates
Labellerr by Tensor Matics Private Limited is a B2B SAAS training data platform for enterprises to build computer vision AI solutions in days instead of years. Our mission is to enhance AI adoption where domain experts and software developers should be able to build AI apart from data scientists and machine learning engineers.
Currently, we are a 10+ member team in the US and India and 3+ years into business funded by Upekkha B2B SAAS accelerator, Startup India, and incubated by Google Cloud, Microsoft for startups, IIT Delhi, IIT Mandi, AWS for startups.
We have users as small/large enterprises in the US, Israel, and India, such as Wadhwani AI (one of the world's most recognized AI research institutes), Intuition Robotics, Yelee group, TripScout, Skintelligent, ScientiaMobile, Perceptly, MiraInsight, and more in domains, such as retail, manufacturing, adtech, agri, social good, etc.
We have partnerships globally such as Databricks, GoodData, and more.
