also, append `?tune` for fun times!
20 karma · joined September 25, 2020
- Founding Engineer & Designer @ atomscale.ai - Cancer immunology in a past life.
thrice.me
Atomscale is building AI to improve atomic-scale materials manufacturing. Our goal is to help translate new materials into new technologies and products by making sure they can be created at scale instead of stalling at R&D.
This is a hard (but exciting!) challenge that involves high-throughput data ingestion and processing pipelines, complex data visualization, and hardware integrations for direct control. The payoff is unlocking new technologies that address today's most pressing challenges.
⎯
We're looking for a Product-oriented Software Engineer that will:
- Build ergonomic interfaces for data visualization, workflow automation, and AI-copilot assistance.
- Develop backend systems with flexible, expressive data models and performant APIs.
- Create desktop apps for on-premises low-latency data streaming and hardware integrations.
(You don't need background in materials science!)
⎯
More details: https://www.atomscale.ai/careers/software-engineer-full-stac...
To apply: email jobs@atomscale.ai with the job title + HN
Atomscale is building AI to improve atomic-scale materials manufacturing. Our goal is to help translate new materials into new technologies and products by making sure they can be created at scale instead of stalling at R&D.
This is a hard (but exciting!) challenge that involves high-throughput data ingestion and processing pipelines, complex materials science data visualization, and hardware integrations for direct synthesis control. The payoff is unlocking new technologies that address today's most pressing challenges.
⎯
We're looking for a Product-oriented Software Engineer that will:
- Build ergonomic interfaces for data visualization, workflow automation, and AI-copilot assistance.
- Develop backend systems with flexible, expressive data models and performant APIs.
- Create desktop apps for on-premises low-latency data streaming and hardware integrations.
(You don't need background in materials science)
⎯
More details: https://www.atomscale.ai/careers/software-engineer-full-stac...
To apply: email jobs@atomscale.ai with the job title + HN
Atomscale is building AI to improve atomic-scale materials manufacturing. Our goal is to translate new materials into new technologies and products by ensuring they can actually be created at scale faster and cheaper.
This is a hard (but exciting!) challenge that involves hardware integrations, AI that understands materials data, and real-time dynamic intervention during processing.
⎯
We're looking for an Applied AI/ML Engineer that will help:
- Develop new models to analyze materials processing data
- Improve systems for model infra & deployment
- Build data engineering pipelines to handle large amounts of multimodal data
(You don't need background in materials science)
⎯
More details: https://www.atomscale.ai/careers/applied-ai-ml-engineer
To apply: email jobs@atomscale.ai with the job title + HN
I think this approach could be described as "experimentation over self-belief".
One reason it's powerful is that it solves the self-belief bootstrapping problem: when you don't have self-belief, how can you take actions which require it, in order to develop it?
You can always do an experiment.
I would also recommend spending less than 30 minutes setting up a blog if you have less than 4 posts written. [2]
[0]: https://thrice.me/
A few months ago I was training for a marathon and learned some exercise physiology to try and improve how I train.
I wrote an article to synthesize that learning and "relaunched" it on a Bear blog today. Wanted to share it here to get some feedback and hopefully spread some knowledge. Let me know what you think!