Machine Learning Engineer

Sandbar
Sandbar

Software Engineering

New York, NY, USA

Posted 6+ months ago

ML 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 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

Back

ML 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 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

Back