Founding ML Engineer

Job Summary

Real-time B2B data via simple APIs
Location: San Francisco, CA, US
Type: Full-time

About the Role

We're building the gateway to the internet for AI agents. Our APIs already power hundreds of customers — and we went from 0 to $7M ARR in our first 12 months. Now we need someone who can push the boundaries of what our ML systems can do.

Responsibilities

• Own the research and engineering behind our core intelligence layer
• Build and ship ML models in production — NLP, information retrieval, or entity resolution
• Train and fine-tune encoder models
• Evaluate retrieval systems, classifiers, and embedding models
• Use LLMs for structured extraction, classification, or data generation at scale
• Build and evaluate contrastive learning, metric learning, and representation learning systems
• Work with messy, multilingual, web-scale data to turn it into structured intelligence
• Solve problems such as:
• Matching and resolving company records across multiple sources
• Infering org charts from raw people data
• Detecting what technologies a company uses from unstructured signals
• Classifying job changes as promotions, lateral moves, demotions, or title edits
• Mapping raw job titles to canonical titles, seniority levels, and job functions

Requirements

• 3+ years building and shipping ML models in production — NLP, information retrieval, or entity resolution
• Strong with transformer architectures — you've trained and fine-tuned encoder models, not just called APIs
• Experience with LLMs for structured extraction, classification, or data generation at scale
• Strong Python and PyTorch
• A true grinder — we work very hard
• Founder mentality — someone who wants to be a founder in the future OR was a founder earlier

Qualifications

• Experience with entity resolution or record linkage at scale
• Built taxonomy or ontology systems over messy real-world data
• Background in multilingual NLP or cross-lingual transfer
• Scaled LLM inference pipelines in production
• Published research or open-source contributions in NLP/IR
• Experience with distributed training on GPU clusters

Skills

• Python
• Torch/PyTorch
• Natural Language Processing

Benefits

30 min video call with the CEO
45 min technical deep-dive (ML systems design + paper discussion)
Paid work trial on a real problem (~1-2 weeks)

Pay

$150K - $300K

Schedule

Not specified

Company

Crustdata

Founded Mentality

Someone who wants to be a founder in the future OR was a founder earlier