Remote (US-based or Canada-based only). Must be authorized to work in the US (no visa sponsorship available).

Updated to reflect our strong preference for US/CA. We have made exceptions in the past.

Since there are comments about this above, I want to highlight that we've hired successfully on HN for several roles for our current small team. We hired 1 of 2 roles last month, and are still looking for a candidate for this role, which is why I'm posting here again.

Great to hear! p.s. I just copy-pasted to help, not to critique.

Olli Health | Remote w/ Annual Travel | Full-Time | Senior Automation Engineer & ML/NLP Data Scientist | ollihealth.ai

We are a TechStars NYC ‘24 startup dedicated to modernizing home healthcare with advanced AI tools and we are expanding our team again! These are pivotal hands-on roles that will begin shaping our product from day 1. We are backed by top healthtech and AI-focused VCs investors (Cannage Capital, Arkitekt Ventures, and Tau Ventures) and have been moving lightning fast to build incredibly valuable tools in home health.

We are looking for:

- Proven success in the fast-paced 0 to 1 early days of young startups (experience on founding team or pre-seed ideally). Work will be optimized based on your preferred balance, and what gives you energy.

- Experience (5 years+) with most of our stack: AWS, PostgreSQL, Python (FastAPI), Pytorch. Role involves devops, data engineering, API design, evals & benchmarking, workflow optimization, etc.

- Able to demonstrate hands-on-keyboard coding chops. Roles are primarily IC + collaboration with our team, and room to grow into startup leadership.

- Comfort interacting with ML/NLP and LLM-native data engineering problems

- [AE] Experience deploying RPA and agentic tools into legacy software systems

- [ML/NLP DS] PhD in ML + proven expertise training, and deploying models for production use

- Experience working with healthcare data (not required but highly valued)

Comp: $165k-$200k annual FTE base comp + equity package. We cover 100% of Health, Vision, Dental, Life insurance premiums.

I’m Olli’s CTO and these positions will work directly with me and our core (currently 7-person) engineering team. hiring+hn [] ollihomehealth [] ai - Email me with questions, for a full JD, or to send your CV. No staffing or recruiting firms, please, individuals only.

Olli Health | Remote or New York | Full-Time | Senior Backend SDE | ollihealth.ai

We are a TechStars NYC ‘24 startup dedicated to modernizing home healthcare with advanced AI tools and we are expanding our team again! These are pivotal hands-on roles that will begin shaping our product from day 1. Last summer we closed our Seed round from top healthtech and AI-focused VCs investors (Cannage Capital, Arkitekt Ventures, and Tau Ventures) and have been moving lightning fast to build incredibly valuable tools in home health.

We are looking for:

- Proven success in the fast-paced 0 to 1 early days of young startups (experience on founding team or pre-seed ideally). Work will be optimized based on your preferred balance, and what gives you energy, but we need someone who is able to gain confidence in the full stack.

- Experience (5 years+) with most of our stack: AWS, PostgreSQL, Python (FastAPI), Pytorch. Role involves devops, data engineering, API design, evals & benchmarking, workflow optimization, etc.

- Able to demonstrate hands-on-keyboard coding chops. Role is primarily IC + collaboration with our team, and room to grow into startup leadership.

- Comfort interacting with ML/NLP and LLM-native data engineering problems

- Experience working with healthcare data (not required but highly valued)

Comp: $165k-$185k annual FTE base comp + equity package. We cover 100% of Health, Vision, Dental, Life insurance premiums.

I’m Olli’s CTO and this position will work directly with me and our core (currently 6-person) engineering team. hiring+hn [] ollihomehealth [] ai - Email me with questions, for a full JD, or to send your CV. No staffing or recruiting firms, please, individuals only.

Olli Health | New York or Remote (US work auth required) | Full-Time | Senior ML Engineer or Full Stack SDE | ollihealth.ai

We are a TechStars NYC ‘24 startup dedicated to modernizing home healthcare with advanced AI tools and we are growing! This is a pivotal hands-on role that will begin shaping our product from day 1. Last summer we closed our Seed round from top healthtech and AI-focused VCs investors (Cannage Capital, Arkitekt Ventures, and Tau Ventures) and have been moving lightning fast to build incredibly valuable tools in home health.

We are further expanding our team and are looking for:

- Proven success in the fast-paced 0 to 1 early days of young startups (experience on founding team or pre-seed ideally). This is a full stack role in the widest sense - there is devops, a little data engineering, API design, workflow optimization, and frontend feature design. Work will be optimized based on your preferred balance, and what gives you energy, but we need someone who is able to gain confidence in the full stack.

- Experience (5 years+) with most of our stack: AWS, PostgreSQL, Redis, Python (FastAPI), Pytorch, React

- Able to demonstrate hands-on-keyboard coding chops. Role is primarily IC + collaboration with our team, and room to grow into startup leadership.

- Comfort interacting with ML/NLP and LLM-native data engineering problems

- Experience working with healthcare data (not required but highly valued)

Comp: $175k-$200k annual FTE base comp + equity package. We cover 100% of Health, Vision, Dental, Life insurance premiums.

I’m Olli’s CTO and this position will work directly with me and our core (currently 4-person) engineering team. hiring+hn [] ollihomehealth [] ai - Email me with questions, for a full JD, or to send your CV. No staffing or recruiting firms, please, individuals only.

Olli Health | New York or Remote (US) | Full-Time | Founding Senior Full Stack SDE | www.ollihomehealth.ai

We are a TechStars NYC '24 startup dedicated to modernizing home healthcare with advanced AI tools and we are growing! This is a pivotal hands-on role that will begin shaping our product from day 1. We recently closed our Seed round from top healthtech and AI-focused VCs investors (Cannage Capital, Arkitekt Ventures, and Tau Ventures) and are using this financing to build a driven engineering team to build incredibly valuable tools.

What we’re looking for:

- Proven success in the fast-paced 0 to 1 early days of young startups (experience on founding team or pre-seed ideally). This is a full stack role in the widest sense - there is devops, a little data engineering, API design, workflow optimization, and frontend feature design. Work can be optimized based on your preferred balance, and what gives you energy, but we need someone who is able to gain confidence in the full stack.

- Experience (5 years+) with most of our stack: AWS, PostgreSQL, Redis, Python (FastAPI), Pytorch, React

- Able to demonstrate hands-on-keyboard coding chops. Role is primarily IC + collaboration with our team, and room to grow into startup leadership.

- Experience working with healthcare data (not required but highly valued)

Comp: $160k-$180k annual FTE base comp + equity package. We cover 100% of Health, Vision, Dental, Life insurance premiums.

I’m Olli's CTO and this position will work directly with me and our core (currently 3-person) engineering team. hiring+hn [] ollihomehealth [] ai - Email me with questions, for a full JD, or to send your CV. Absolutely no staffing or recruiting firms, individuals only.

Big fan of innovation in this space, so glad you're working on this. I remember coming across Beeminder some time ago, and liking the idea, but not actually pulling the trigger on trying it out. I wonder if it has to do with some cognitive dissonance around the financial commitment device. We want to think of ourselves as having some semblance of self-control & an ability to stick to previously defined goals, but opting in to a system that punishes you for failure forces you to come to terms with the fact that you don't in fact trust yourself.

I have no doubt this works for some people, but there's something missing for me. Maybe it's just that I prefer positive reinforcement.

Out of curiosity, how will you differentiate from Beeminder? Is it the social pot that you suspect makes this dynamic more powerful?

Hey, thanks for taking the time to check this out and give your thoughts. I completely agree with you that in general we want to think of ourselves as having self-control, and in a lot of aspects we do, some of us more than others. It's kind of like the 'place something on top of my keys the night before so I don't forget it' approach. In the evening, this would be easy to remember, I am sharp and aware, but in the morning, I know from past experiences that I'm not as sharp and need a little help. What I want now, vs what I want later.

I think both positive and negative reinforcement are effective. It obviously depends on the person, situation and other factors. My thought with this idea is that the positive re-inforcement aspect of activity when it comes to activity monitors is already being tackled by the big companies, fitbit, garmin, apple health, google fit, etc. However on the 'penance' side of things, it's underrepresented and the options are far from streamlined and easy imho.

My opinion on Beeminder is that it's designed for highly-technical people. The idea would be to present a solution that is similar to Beeminder that anybody can easily understand and use. There are also other highly motivating aspects that beeminder doesn't use such as social accountability (fitbit), charities (StickK and many others), and competition (fitbit, apple, etc.).

Thanks again for the thoughts and inquiry, I'd love to keep the convo going. My current goal is to flesh out any lingering thoughts on how the idea could be improved so that I can create more of a polished model to present to the public and gage interest.

As a cofounder of Beeminder, this makes tons of sense to me! Plenty of room for a less nerd-focused take on this (we're heaving on the Quantified Self side) and other forms of motivation hacking besides commitment contracts based on graphs.

I should mention that we do have a partial charity option in our fancypants premium plan: http://blog.beeminder.com/infinibee (Beemium plan, $32/mo)

And we have a tiny bit of social accountability with this feature: http://blog.beeminder.com/supporters

Btw, I'm not sure about your term "penance" here. I mean, I see how you're using it for monetary commitment contracts, I'm just not sure I agree with the term. To me it implies assuaging guilt after the fact. I think commitment contracts are all about shaping incentives before-the-fact.

Your project sounds very interesting, and feature packed. Will it be open source, commercial, both? Thanks for sharing your insights on the agent interface, I've found that I (unexpectedly) use the messenger bot frequently for simple 'task completed' functionality and others.

Is there anything public on the web about your project at this point?

It was started as a pet project with no plans regarding its future. As it turned out, recent hype around AI, personal assistants, privacy and wearables created some interest around such type of projects. It is definitely going to be OSS, if we decide to publish it. I see no other way to make it transparent and secure, also people who are ready to provide full access to their accounts and location to third party service aren't target audience =)

Not at present. I chose GCP/GAE because I know it well, and there's some convenience when integrating with other google cloud services (like BigQuery, gSheets/gCal, etc).

Yep, it's a web application.

A number of people have commented that Google login only is a barrier, so will definitely be adding another signup method.

The source is on GH with instructions to spin up your own instance if you prefer.

I guess calling it an app and saying that I own the data made me think it was an electron-app or something.

If I can't export the data (I see nothing about it) and it's not stored on my device I think it is a stretch to say that I own my data. I get that it might not the first feature to implement, but for the future that is something that at least I would expect.

All data is exportable from the reports page. Looks like I fail to mention that in the about text, I'll add it there.

Agreed and agreed, thanks for this feedback.