Job Description

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

Job Tags

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