Regard | Senior Engineers | NYC, SF, LA | Full-time
Regard is a New York City–based AI health-tech company building the next generation of clinical insights software. Our platform uses machine learning and large-scale data to help clinicians synthesize patient history, recommend diagnoses, and automate documentation. Series B funding.
I'm Justin, the CTO. We're looking for engineers able to leverage current and future AI technologies for product development and platform enhancement. Generative AI experience is required.
Stack: Python, ts, k8s, AWS, postgres
Contact: Email me at [email protected] with your resume and link to a project you've built.
Hadn't thought about it this way before, but given that LLMs are auto regressive (use their own data for next data), they're sensitive to error drift in ways that are rather similar to analog computers.
While I'm sure some chemical byproducts come out of that, it's important to note that hydrocarbons assuredly make some really nasty stuff along the way [1]. I also wish there was a way to more easily compare these things, but the misinformation around environmental data is really next level. General, consider thinking about renewable infrastructure as more of a stock that accumulates vs fossil fuel usage which is a flow.
Regard is a New York City–based AI health-tech company building the next generation of clinical insights software. Our platform uses machine learning and large-scale data to help clinicians synthesize patient history, recommend diagnoses, and automate documentation. Series B funding.
I'm Justin, the CTO. We're looking for engineers able to leverage current and future AI technologies for product development and platform enhancement. Generative AI experience is required.
Stack: Python, ts, k8s, AWS, postgres Contact: Email me at [email protected] with your resume and link to a project you've built.