AI/ML Engineer (Robotics Research) L3/L4

About Perceptyne:

Perceptyne Robots is a deep-tech robotics company building highly dexterous, low-cost, and contextually intelligent robots to automate tasks that largely remain elusive to robots, even today! These robots can be used in areas like electronics product assembly, e-commerce packaging, food preparation, etc. We are building technology that will push the boundary of robotics as we know it today! ( www.perceptyne.com )

How is it like to work at Perceptyne?

At our core, we like to build things, we evangelize great ideas, and we are grounded.

At Perceptyne, we greatly value these dichotomies:

Having experience while not losing a first principles approach.

Having a large vision while not losing attention to detail

Working on disruptive tech while hitting the market ASAP

Work Description:

As an AI/ML Engineer (Robotics Research), you will be involved in building the intelligence of the robot, end-to-end.

You will focus on leveraging machine learning to marry multi-sensor perception, model prediction and robotic actuation. You will come up with innovative methods / pipelines, bootstrap them in simulation and deploy them to control real robot behavior.

You will come-up with novel ways to engineer, capture data and train models using various sources including real-world behaviors, active planning, feedback-based control, demonstration-based learning, simulation and transfer learning, and real-world adaptation.

Your everyday activities shall include:

Innovate to come up with smart, new methodologies in robotic perception and control

Play a key role in end-to-end AI/ML system architecture design

Theoretical research and hands-on implementation of new AI models, benchmarking and iterating them

Building Computer Vision modules for robotics applications

Explore and Identify suitable SOTA models, test/benchmark them for our applications, modify / fine-tune / improve them

Build model pre-processing and post-processing pipelines in Python / C/C++

Optimize the stack for real-time execution with focus on efficient programming and faster execution times

Prototyping & testing concepts, ideas & hypotheses

Testing various schemas in perception, planning, manipulation & control

Testing & deploying production ready software

Skills & Requirements:

Experience Requirements:

Overall experience ranging from 4 to 8 years in software development.

At least 4 years of industry experience as an FTE in building, training and testing AI/ML models and Computer Vision applications

Experience building end-to-end system architecture with focus on execution speed and efficiency

Bachelor's in computer science / Electrical / Electronics / Communications Engineering

Masters / PhD in fields related to Computer Vision / Robotics / AI is an added advantage

Technical skill Requirements

Excellent understanding of architectures in AI, including Transformers, CNNs, RL, Diffusion Policies, Behavioral Cloning, Vision-Action models, VLMs etc. along with their respective applications

Hands-on with computer vision with strong focus on building edge-deployable high-framerate systems

Strong coding skills in Python and C/C++ and experience with PyTorch/Tensorflow

Prior experience in robotic applications is an added advantage

Experience with GPU optimization for edge-deployable applications is a big plus

Strong aptitude towards debugging and root-cause analysis

Strong intuition for relevant math & physics, coordinate geometry, trigonometry, calculus, linear algebra

Good understanding of state-of-the-art robotics research

Good theoretical / mathematical understanding of robotic manipulators (Forward & Inverse kinematics, Jacobian, DH representations, path planning, control schema, etc.) is an added advantage.

Soft skill Requirements

Passionate about Robotics & AI.

Be resourceful and creative about getting things done with a sense of urgency.

Go-getter attitude

Experience in building / guiding a team will be an added advantage

How to apply?

If you are excited by what we’re building and would like to join us, apply here, or write to us at careers@perceptyne.com