This company is hiring a full-time ML // AI Engineer to work on-site in San Francisco, building production machine learning systems for large enterprise customers. The work sits at the intersection of applied ML, NLP, LLMs, and real-world systems engineering, using Python to process unstructured signals like OCR output, application metadata, and behavioral telemetry at scale.

This is a true zero-to-one role. You’ll design and ship models that turn noisy enterprise data into measurable insight, where accuracy, latency, and cost all matter. They’re looking for someone who’s comfortable with ambiguity, enjoys hard problems without a playbook, and wants real ownership. In return, you’ll get deep technical growth, direct exposure to founders and customers, and the chance to build systems that are actively used by Fortune 500 organizations.

Required Skills & Experience

Strong Python skills and solid software engineering fundamentals
Hands-on experience building classification and NLP systems
Expertise in prompt design and optimization for LLMs (few-shot strategies, token efficiency, reasoning scaffolding)
Experience designing evaluation frameworks, including ground truth creation, A/B testing, and accuracy analysis
Production ML experience: deployment, monitoring, and performance tuning
Comfort navigating ambiguity and unexplored technical terrain

Desired Skills & Experience

Experience with hybrid ML and rule-based architecture
Background in OCR, document intelligence, or computer vision
Proven approaches to cost control in LLM-centric systems
Experience with PyTorch or similar frameworks
Familiarity with process mining or workflow analytics
A track record of shipping ML systems that operate at scale under real constraints
Personal projects that demonstrate technical depth and curiosity

What You Will Be Doing

Tech Breakdown

50% NLP
50% LLM Orchestration

Daily Responsibilities

50% Hands On
50% Team Collaboration

The Offer

You Will Receive The Following Benefits

Medical, Dental, and Vision Insurance
Vacation Time
Equity

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted By: Charles Deuter

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