Opportunities in the Upfront Portfolio
Machine Learning Engineer
Software Engineering
New York, NY, USA
Posted on Mar 19, 2025
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
