Location: SF Bay Area - Hybrid
Compensation: $100k - $150,000 + .005-.02% equity
Experience: 3 years (Plus)
The Company
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 backend learning engineer to join our ten person
team. The ideal candidate is someone with deep expertise in Python, AWS, 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:
* The culture of our organization
* Who we hire
* The focus of our products
* Engineering best practices
* Challenges you’ll work on:
Projects you will work on
* Implement parallelized versions of bottlenecked numpy operations
* Optimizing the size of our production ML docker container.
* Improve the time it takes to re-encode user videos in a web playable format.
* Develop a cogent local devops stack
* Implement an intelligent caching system to improve the speed of critical database operations
Problems our backend team has worked on (successfully!) so far:
* Reduce the spin-up time of new AWS ML nodes by 8x using AMIs and Karpenter
* Implement a novel video DRM protection scheme at ~1% of the cost of commercial alternatives
* Split up monolithic backend into microservices to improve GPU utilization by 30%.
* Re-writing CUDA kernels to improve ML inference times
* Implementing AWS infra in-code using Terraform
Successful candidates:
* Have 3 years of experience with Python, AWS, and Kubernetes.
* Have built robust CI/CD pipelines, and are familiar with Docker, Kubernetes, and Terraform.
* Have used Javascript before and are willing to learn more about it.
* Are willing to serve on-call periodically
* Are excited to create a new product in a space that hasn’t seen innovation in a generation.
* Supportive—especially when teammates are faced with new challenges.
* Feel a great sense of accountability to each other.
* Uphold best practices in engineering, security, and design.
Benefits:
* 401k (100% company match on first 3%, then 50% of contributions from 3% to 5%) Full Health, dental, vision
* 3 weeks paid vacation
* Monthly team building events
Location preference is SF Bay Area, though we are considering all qualified
candidates within the US.
TuMeke focuses on Machine Learning and Artificial Intelligence. Their company
has offices in San Mateo. They have a small team that's between 11-50
employees. To date, TuMeke has raised $2.5M of funding; their latest round was
closed on October 2022.
You can view their website at <https://www.tumeke.io/> or find them on
[LinkedIn](https://www.linkedin.com/company/tumeke/).