Overview
On Site
$150000 - $250000
Full Time
Skills
Recruiting
Artificial Intelligence
Systems Engineering
Meta-data Management
Management
Python
Software Engineering
Optimization
Reasoning
Evaluation
A/B Testing
Performance Tuning
Optical Character Recognition
Computer Vision
Cost Control
PyTorch
Workflow
Analytics
Shipping
Machine Learning (ML)
Natural Language Processing
Orchestration
Collaboration
Insurance
SAP BASIS
Continuous Delivery
Job Details
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
Tech Breakdown
The Offer
You will receive the following benefits:
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1
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
- 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
Tech Breakdown
- 50% NLP
- 50% LLM Orchestration
- 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.
#LI-CD1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.