Latinx in AI (LXAI)
Machine Learning Engineer
Latinx in AI (LXAI), San Francisco, California, United States, 94199
Overview
We\u2019re assisting a well-funded startup with their search for Machine Learning Engineers. Their product helps AI teams turn complex documents into LLM-ready inputs with exceptional accuracy. This role will work onsite in the SF office. Responsibilities
Train and deploy new state of the art models for parsing and interpreting unstructured data Experiment with novel techniques to improve LLM accuracy Build data pipelines, evaluate model performance, and integrate models into the product Work directly with the founders and customers to shape the product direction and engineering strategy Ideal Candidate Traits
You have a high bar for quality and don\u2019t rest until the job is done right\u2014no settling for 90%. We want someone who ships fast, with high agency, and who doesn\u2019t just voice problems but actively jumps in to fix them. You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems You\u2019re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs Build your own tools as needed\u2014like a quick Streamlit app to test hypotheses or create a dataset A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users Nice To Haves
Prior experience founding a company or building products at early stages You are ambitious and driven, and care a lot about doing great work with great people You keep up with the latest developments in ML/AI Seniority level
Entry level Employment type
Full-time Job function
Engineering and Information Technology Industries
Research Services
#J-18808-Ljbffr
We\u2019re assisting a well-funded startup with their search for Machine Learning Engineers. Their product helps AI teams turn complex documents into LLM-ready inputs with exceptional accuracy. This role will work onsite in the SF office. Responsibilities
Train and deploy new state of the art models for parsing and interpreting unstructured data Experiment with novel techniques to improve LLM accuracy Build data pipelines, evaluate model performance, and integrate models into the product Work directly with the founders and customers to shape the product direction and engineering strategy Ideal Candidate Traits
You have a high bar for quality and don\u2019t rest until the job is done right\u2014no settling for 90%. We want someone who ships fast, with high agency, and who doesn\u2019t just voice problems but actively jumps in to fix them. You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems You\u2019re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs Build your own tools as needed\u2014like a quick Streamlit app to test hypotheses or create a dataset A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users Nice To Haves
Prior experience founding a company or building products at early stages You are ambitious and driven, and care a lot about doing great work with great people You keep up with the latest developments in ML/AI Seniority level
Entry level Employment type
Full-time Job function
Engineering and Information Technology Industries
Research Services
#J-18808-Ljbffr