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waitingforseton Ask HN: Who is hiring? (December 2023)

Afresh builds modern supply chain technology for the challenges of fresh food. Every year, one-third of food produced globally goes to waste. In the United States, 40 percent of food waste occurs at the retail and consumer level. Most of this waste occurs in fresh food departments at grocery stores. Afresh is working to eliminate this waste.

Our machine learning team is hiring for three roles at the staff level: data scientist, applied scientist, and data engineer. We work on crunchy machine learning, operations research, and data problems that are hard to find anywhere else. Fresh food is harder than it looks: https://medium.com/afresh-engineering/whats-so-hard-about-or....

Please take a look and apply if you're interested!

https://boards.greenhouse.io/afresh/jobs/5028533004

https://boards.greenhouse.io/afresh/jobs/5017634004

[Applied Scientist role coming soon, please comment if interested or refresh our careers page]

waitingforseton System design and the cost of architectural complexity (2013)

Sounds super interesting. Can you link to the specific OCW courses? I see a few from different departments.

waitingforseton Ask HN: Who is hiring? (March 2022)

Afresh | SF, Austin, Remote | Multiple roles | Full-time | https://www.afresh.com

What if you could leverage your skill set to curb climate change, while also being of service to an industry that’s integral to our health? At Afresh, we’re building a mission-critical system that produce managers rely on every day to ensure their stores are well-stocked with fresh food that won’t go to waste.

Afresh is the first and only Fresh Operating System built especially for the fresh grocery business, helping store teams get everything they need to manage forecasting, ordering, inventory, merchandising, and store operations. We’re searching for proactive engineers across our Data, ML, and product teams who care about the kind of impact they can have with their work. If this sounds like you, we encourage you to apply! www.afresh.com/careers

waitingforseton Write Libraries, Not Frameworks

This is my core experience with Tensorflow vs Torch for deep learning -- Tensorflow keeps trying to predict how users will want to structure their research code, while Torch just sticks to making really nice building blocks.