We aim to close the gap between humans & AI, to better navigate the world around & inside us. Our north star is an experience that feels like thinking, enabled by new software and hardware.
As a Machine Learning Engineer, you will play a core role in the design & development of a useful, empathetic, and creative thought partner. This role is perfect for someone passionate about human-computer interaction with deep experience in user-facing products built upon ML models.
Responsibilities • Design and improve user-facing model behaviors including personality, long-term memory, and per-user adaptation. • 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 evaluation across qualitative metrics • Hands-on experience with LLMs, preferably in user-facing converational applications • 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
We aim to close the gap between humans & AI, to better navigate the world around & inside us. Our north star is an experience that feels like thinking, enabled by new software and hardware.
As a Machine Learning Engineer, you will play a core role in the design & development of a useful, empathetic, and creative thought partner. This role is perfect for someone passionate about human-computer interaction with deep experience in user-facing products built upon ML models.
Responsibilities • Design and improve user-facing model behaviors including personality, long-term memory, and per-user adaptation. • 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 evaluation across qualitative metrics • Hands-on experience with LLMs, preferably in user-facing converational applications • 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
