Factory safety practices haven’t changed since the 50s -- and it shows. Despite automation technology and advances in global supply chain management, worker injury costs have increased yearly and the largest fraction of injury still comes from material handling and assembly tasks. At TuMeke we’re leveraging automation to keep factories safe and cut down on injury rates. Our first product uses computer vision to perform safety inspections on factory workstations automatically.
We are looking to hire a full stack engineer to join our 25 person team. The ideal candidate is someone with deep expertise in Python, Javascript (ReactJS), and Kubernetes. This person is also comfortable getting their hands dirty understanding customer needs & setting product direction. They will shape our engineering culture and help cement TuMeke’s reputation as a world class ML organization.
If you join us, you’ll be an early team member in helping guide:
Challenges you’ll work on:
Problems our engineering team has worked on (successfully!) so far:
Successful candidates:
FAQ
Who cares about factory safety?
Factory injuries are an incredibly expensive problem -- last year US manufacturers spent $60bln on healthcare costs for their injured workers. The remarkable thing is that this cost isn’t from freak accidents like a bandsaw going haywire (although that does happen); it’s from soft tissue injuries that occur in the day-to-day of just doing your job. That means these injuries can be prevented.
Companies try all sorts of things to reduce their injury rates, from training sessions to even hiring physical therapists to watch workers do their jobs. The majority of these techniques are incredibly manual and time intensive procedures, so a lot of companies don't bother. This means there are millions of people being injured worldwide that don’t need to be.
What about robots taking everyone’s job?
There’s no doubt that automation is eating away at manufacturing work -- but not as much as some politicians/journalists would have you believe. A simple example: the most common job at Amazon (with all of its financial/human capital) is still in the warehouse. Even something as simple as box picking hasn’t been automated yet and humans are doing the bulk of the work -- and getting unnecessarily injured while they are at it. Skilled manual labor will be an integral part of the global economy for at least the next 20 years.
As another data point, Amazon announced recently that it was investing $300 million to reduce the prevalence of musculoskeletal disorders (MSDs) in their distribution centers. They were going to do this by hiring teams of physical therapists and coaches to re-train employees and monitor whether jobs are done in a biomechanically correct way. This company is purportedly at the forefront of automation, and the best solution they’ve found to MSDs is just to hire a bunch of people to coach their workers.
Who will I be working with?
The three founders Diwakar , Riley , and Zach , Dr. Alan Hedge , Dr. Jun He , Balaji , Binu , Mykola , Jmatt , our VP of Sales Johnny , and our VP of Marketing Donovan .
Dr. Hedge is a titan in the field of industrial design and is a leading expert on worker safety. Dr. He was the head of the ML department at Nanjing University, and is an expert in human pose estimation and activity recognition.
Much of this role involves bringing to life their career-long theoretical work.
How does this product technically work?
We use a neural net to extract joint information from a video and use some basic signal processing techniques to reduce noise in the data and discard joint data we think will not be useful for tracking industrial jobs. Then we go through standard medical diagnostic tools to estimate the risk of a job from that joint information.
What state is the product in?
We have a product being used by customers right now with evidence that our solution reduces injuries. This group includes some of the largest/most respected manufacturers, airlines, food processes, etc. out there -- happy to share more info during an interview.
How does TuMeke make money?
We charge our customers a monthly subscription per specialist that uses our tool.
How big is the market for this?
We currently charge a monthly subscription per safety specialist that has a seat on our platform. There are ~840k safety specialists in our target markets so if we multiply through by our monthly price we get a starting market of: 840k * $1k * 12 = $10B.
What’s the interview process like?
Initially we’ll do a quick phone call to make sure that we’re on the same page. After that, our process is:
Have you raised money?
Yes! We’ve raised more than ten million in venture dollars, and we’d be happy to share details on the phone :) Our investors include Intel Capital, GSR Ventures, Tuesday Capital, and OVOFund.
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