Machine Learning Engineer, New York City

We aim to close the gap between humans & AI, to better navigate the world around & inside us. Our north star is an extension of self, enabled by new software and hardware.

As a Machine Learning Engineer, you will design, build, and ship a new kind of AI entity—a self extension that's useful, empathetic, and truly personal. This role is perfect for someone who has shipped user-facing products and who cares deeply about human-computer interaction. You should consider this role if you have strong opinions on the qualitative differences between models, such as the personality of Claude 3.5 versus 3.7.

Responsibilities
Design and improve user-facing model behaviors including personality, memory, and voice expressivity.
Develop infrastructure to rapidly generate synthetic data, employ fine-tuning methods, and evaluate models across qualitative and quantitative metrics.
Optimize inference pipelines for latency and scalability

Qualifications
Strong experience in applied machine learning, including data curation, fine-tuning, and scalable model evaluation
Hands-on experience with LLMs, conversational applications is a major plus
Strong opinions on qualitative differences between models (e.g. Claude Sonnet 3.5 vs. GPT 4.5)
Proficiency in Python, PyTorch, and/or TensorFlow
High independence and comfort with ambiguity
Strong interest in human-computer interaction
Portfolio of prior work is a major plus
Prior hardware experience is not needed or required

Apply
Please send this job title with your name, resume, and any links to careers (at) sandbar.inc
$160-200k base, generous equity

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