Perception Engineer, Chef Robotics
Autonomous cooking robot developer
Open for applications
Autonomous cooking robot developer
21-100 employees
Open for applications
21-100 employees
Company mission
To accelerate the advent of intelligent machines in the world to empower humans to do what humans do best.
Role
Who you are
- BS, MS, or PhD in computer science, robotics, electrical engineering, mechanical engineering or related field
- Practical experience shipping working perception systems
- 5+ years research and industry experience in machine/deep learning and computer vision
- 5+ years experience in Python and/or C++
- Experience with common deep learning frameworks like Tensorflow or Pytorch
- Excellent software engineering fundamentals
- Excellent mathematical skills, especially with probability and statistics, linear algebra, and classical machine learning
Desirable
- Startup experience
- Experience with the robotics tech stack, e.g. Linux, ROS, OpenCV, CUDA
- Experience with SLAM, localization, calibration, state estimation, sensor fusion
- Experience with full-stack web engineering and infrastructure
- Experience with basic mechatronics and electronics
What the job involves
- Chef is looking for a Perception Engineer to help us scale our fleet of robots
- You will be making a large impact on a small team, developing the next generation of our perception system that will allow our robots to reliably serve millions of meals in production environments
- Ideal candidates for this role will be well-versed in the latest in deep learning, while also possessing a strong foundation in classical computer vision and state estimation
- Oversee the collection, labeling, and management of datasets to train and evaluate machine learning models, including working with labeling vendors to ensure high-quality data annotation and building out ML ops infrastructure
- Employ strategies for training models with limited data, including things like synthetic data generation, data augmentation, transfer learning, active learning, and domain adaptation
- Develop perception systems for object detection and segmentation utilizing both 2D and 3D image data
- Develop systems for sensor fusion and object tracking
- Develop scalable and productionizable methods for camera calibration
- Evaluate and select cameras and other sensors for our next-generation hardware
- Champion engineering excellence, ensuring high-quality, well-structured, and well-tested code
- Stay up-to-date with the latest ML and perception research and apply insights in a practical way to our system
- Drive the development of new ideas from conception through implementation and evaluation
- Take full ownership of perception projects, ensuring they meet and exceed performance and reliability standards
- Be proactive in identifying potential issues and opportunities for improvement, leading efforts to develop and implement solutions
Our take
In recent years, kitchen automation has surged, yet challenges persist in addressing the nuanced complexities of food preparation and assembly.
Chef Robotics tackles this by prioritizing food assembly over cooking, acknowledging the diverse factors that shape culinary outcomes. With its advanced robotics and AI-driven software, ChefOS, the company navigates the intricacies of ingredient preparation, cooking methods, and storage conditions, ensuring consistent quality across diverse recipes and ingredients.
Chef's recent funding round underscores investor confidence in its innovative approach. With a focus on robotics-as-a-service (RaaS), Chef aims to democratize access to advanced automation, offering scalable solutions for food businesses. As it expands across the US and Canada, securing partnerships with Fortune 500 food companies, Chef heralds a future where technology enhances culinary excellence, revolutionizing efficiency and creativity in the kitchen.
Freddie
Company Specialist
Insights
54% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2024
$10.5m
EARLY VC
May 2021
$7.7m
SEED
Total funding: $25.3m
Company values
- Customer and User Obsession: We’re here to serve our customers and users. Go backwards from the customers and obsess after giving them the best experience possible
- Deliver results and follow through: Results matter, not "effort." Done is better than perfect. Finish what you start. A documented mistake of an idea that didn't work is positive. Constantly release, test, and deploy little bytes instead of waiting for one large deployment
- Move with extreme velocity and focus: Velocity matters. We’re serving customers where a little downtime can cost millions. Ship fast and be laser focused on what matters. Work smart and hard
- Meritocracy to find the truth: The best idea wins not your seniority. Use logic to support your thinking. Always discuss the idea not attack the speaker. When a decision is made, disagree and commit wholly
- Radical transparency: No passive aggression. If someone isn’t doing something right, tell them. Be brutally honest with feedback and don’t sugar coat anything. Trust in your team
- Hire the very best people: If enough smart people are in a room together, we'll figure it out. Hire slow rather than to "fill a role."
- Simplicity and Frugality: Have just enough and no more. Constantly simplify. Always ask: "how could I accomplish what I'm trying to with 10x less money?
- Play for the name on the front of the jersey: "Play for the name on the front of the jersey...people will start remembering the name on the back." We all have individualistic desires but by working for the good of the company in the short term, you make yourself significantly better off in the long term. When in doubt of how to make a decision, ask: is this in the true, authentic best interest of Chef?
- Challenge your beliefs and aim to find truth: Assume your ideas are wrong and constantly stress test them. The default is that your idea is wrong and that you have to prove it’s right (not the other way around). Seek diverse perspectives. Always ask why, why, why? Break things down to the first principles and then build back up
- Take initiative and win: Figure out what needs to be done - without anyone telling you - and then win. We’re here to win not just for a job
Company HQ
Mid-Market, San Francisco, CA
Articles
Leadership
Rajat Bhageria
(CEO)Previously the co-founder and CEO of ThirdEye Technologies. They now write for both Forbes and TechCrunch alongside being a Managing Partner at Prototype Capital.
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