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Making Factories Smarter

Machine Learning R&D

$100k – $150k • No equity
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Job Title: Machine Learning R&D
Department: Engineering

Reports to: CTO
Job Type: Full/Part-time contract
Location: Remote (Company in Greater Boston Area)

Who We Are: We are an early-stage startup building a solution to make factories smarter with machine learning. Our SaaS platform uses live monitoring, machine vision, and machine learning to deliver actionable insights to operators and engineers in real time to keep their production lines running.

We were founded by experts in Industry 4.0 and advanced manufacturing, and our advisors are leading experts in applied machine learning for manufacturing. We are working with the largest steel tube factory in Japan as our initial customer, and we are getting ready to start machine vision and data analysis projects with several more large industrial companies.

We’re offering a chance to do meaningful work right away by applying advanced machine learning tools to improve factory operations. You will work directly with top management to deliver solutions in an industry ripe for disruptive innovation.

If you are a self-starter who is excited to bring machine learning expertise to factories and wants to help an early-stage team solve challenging problems, reply and let us know!

Position Summary and Purpose: Responsible for working with machine vision models developed for the IndustrialML platform, and applying them to proofs of concept with new customers, to catch surface errors in manufactured parts. Work on developing machine learning and statistical models to correlate production data in our platform to outcomes on the production floor. Augment collected data, where it is limited, to aid in the training and execution of machine learning models. For all tasks, work closely and regularly with the company’s CTO and CEO to understand the business context of your work.

Desired Experience:
At least 2 years experience defining, building, and deploying machine learning models
2 years experience working with a customer-deployed end product
BSc in Computer Science, Mathematics or similar field; Master's degree is a plus
Sufficient relevant experience will be considered in lieu of degree
Experience working in a manufacturing environment or on problems for factories
Experience working with startups is a plus

*Knowledge, Skills, Abilities, Characteristics, etc.: *
Familiarity with ML frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Statistical data mining techniques (GLM/regression, random forest, boosting, trees, etc.)
Ability to write and debug code using statistical languages (Python, R, Matlab, etc.)
Understanding of data structures, data modeling and software architecture

IndustrialML at a glance

Making Factories Smarter

IndustrialML focuses on Enterprise Software, Manufacturing, Machine Learning, and Industrial Automation. Their company has offices in Tokyo and Cambridge. They have a small team that's between 1-10 employees. To date, IndustrialML has raised $900K of funding; their latest round was closed on December 2019.

You can view their website at http://www.industrialml.com or find them on LinkedIn.

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