Machine Learning Engineer
U.S. (Remote)
Applications have closed
Elementary
The world's best manufacturers trust Elementary to improve quality, maximize yield, and gain valuable insights from real-time production quality data.As seen in Forbes, TechCrunch and VentureBeat.
Elementary delivers a full-stack, AI-driven visual inspection solution for a wide variety of global manufacturers such as Toyota and Milwaukee Tool. Leveraging computer vision, edge computing, and cloud-based machine learning models, Elementary's proprietary platform is leading the way for massive change in automated manufacturing.
Our mission is to make manufacturing more efficient and less wasteful through scalable, automated, data-driven products that support strained quality inspection teams who continue to experience massive labor shortages due to the ever-expanding demand for manufactured goods. Our goal is to inspect 100% of products coming off of production lines, reducing manufacturing defects and eliminating costly and dangerous recalls of products that ultimately wind up in consumers hands.
We are headquartered in Los Angeles, CA with offices in Mexico City. Remote work available.
“There are few trillion dollar markets like manufacturing, and watching the execution level of the Elementary team to land and expand with global, Fortune 200 companies has been extremely exciting to be a part of.” - Mo Islam, Elementary Board Director and Partner at Threshold Ventures.
We’re looking for a computer vision & machine learning engineer to work as a member of our machine learning team! In this role you'll work to develop machine vision tools using state of the art approaches in deep learning. You will add to the growing list of vision tools that are foundational for manufacturing automation.
What you'll do
- Develop production ready computer vision tools for manufacturing quality automation.
- Develop and tune production ready machine learning models based on challenging customer use cases
- Contribute code to production machine learning training and/or inference codebases
- Work primarily in Python/C++ and leverage data stored in AWS
Minimum Qualifications
- Master's degree in Computer Science, Mathematics, Statistics, or a related field
- 3 years of real world experience in building and deploying machine learning/computer vision tools
- Experience with popular frameworks such as PyTorch, Caffe and Tensorflow
- Experience with Python/C++
- Experience with OpenCV libraries
- Emphasis on strong development practices: git, github, CI/CD, unit testing
- Willingness to learn and grow in the role
When joining Elementary, you’ll become an integral member of our small community and will receive the following benefits:
- Compensation package including competitive salary and early-stage equity
- Medical and Dental insurance benefits
- Flexible Vacation Policy (3-4 weeks)
- A team culture focused on inclusivity, curiosity, personal and technical humility, ownership, and work/life balance.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Caffe CI/CD Computer Science Computer Vision Deep Learning Engineering Git GitHub Machine Learning Mathematics ML models OpenCV Python PyTorch Statistics TensorFlow Testing
Perks/benefits: Career development Competitive pay Equity Flex vacation Health care
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