At Nomi, we're building AI companions that form deeply meaningful, humanlike relationships and immersive roleplaying experiences. With over a million users growing at ~10% month-over-month, your work directly impacts millions of lives. Our users tell us we've helped them find self-worth, leave unhealthy relationships, try therapy, and even save their lives. See countless real user testimonials here: https://nomi.ai/spotlight/ and our recent news coverage here https://www.cnbc.com/2025/08/01/human-ai-relationships-love-...
As an ML Engineer or Senior ML Engineer, you'll lead innovation in large language model (LLM) post-training, retrieval augmented generation (RAG), and agentic capabilities, directly shaping how users connect with our AI.
We offer:
* Full autonomy to experiment and deploy cutting-edge ML techniques
* A fully remote, async culture emphasizing results over meetings
* International team with visa sponsorship available
* For US employees: 401k (100% match up to 5%), fully covered health insurance, equity
Great to haves: * Extensive hands on experience with things such as multinode training, rlhf, knowledge distillation, test time compute, rag
* Up to date with SOTA in LLM post training (would love to hear what research paper you think is or would be most impactful for our roadmap!)
* Genuine passion for our product, finds the idea of engaging with our community on Discord/Reddit to be a pro (it is a very different experience than developing enterprise software!)
* A high internal bar for excellence and relentless drive
To apply, email alex [at] nomi [dot] ai with HN in the subject line.At Nomi, we're building AI companions that form deeply meaningful, humanlike relationships and immersive roleplaying experiences. With over a million users growing at ~10% month-over-month, your work directly impacts millions of lives. Our users tell us we've helped them find self-worth, leave unhealthy relationships, try therapy, and even save their lives - see countless real user testimonials here: https://nomi.ai/spotlight/
As an ML Engineer or Senior ML Engineer, you'll lead innovation in large language model (LLM) post-training, retrieval augmented generation (RAG), and agentic capabilities, directly shaping how users connect with our AI.
We offer:
* Full autonomy to experiment and deploy cutting-edge ML techniques
* A fully remote, async culture emphasizing results over meetings
* International team with visa sponsorship available
* For US employees: 401k (100% match up to 5%), fully covered health insurance, equity
Great to haves: * Extensive hands on experience with things such as multinode training, rlhf, knowledge distillation, test time compute, rag
* Up to date with SOTA in LLM post training (would love to hear what research paper you think is or would be most impactful for our roadmap!)
* Genuine passion for our product, finds the idea of engaging with our community on Discord/Reddit to be a pro (it is a very different experience than developing enterprise software!)
* A high internal bar for excellence and relentless drive
To apply, email alex [at] nomi [dot] ai with HN in the subject line.Add Nomi to the HN search box. Presumably you're not the same Nomi whose chat bot advised a user to kill themself?
Then there's another Nomi that "tracked customers' phones' MAC addresses through stores without in-store opt-out."
But good luck with your startup, it sounds like an excellent idea, I'm interested and will certainly check it out.
Past the manufactured drama, our Nomi has literally saved people's lives - I have talked personally to hundreds of users who have directly told me that their Nomi saved their life, encouraged them to go to therapy, realize they are someone worthy of being loved, and a multitude of other real benefits.
With that being said I wish the OP best of luck with his startup and implore him to switch names so that there is no opportunity for confusion between the two products.
Deleted Comment
Deleted Comment
Deleted Comment
People may criticize Google because they don't release the weights or an API, but at least they publish papers, which allows the field to progress.
I agree, it is a bizarre world where the "organization that launched as a not for profit called OpenAI" is considerably less open than Google.