Founding ML Engineer - Build Production-Ready AI Agents

Arcade

San Francisco (CA)

On-site

USD 230,000 - 270,000

Full time

11 days ago

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Equity
Competitive benefits

Job summary

Arcade is hiring a principal ML engineer to lead the model pipeline, training, and production deployment for agent capabilities. You will own end‑to‑end ML workflows, from data ingestion to publishing, and mentor a team building tool‑calling and agent intelligence that runs inside enterprise environments.

You will ship models and tooling with an emphasis on low latency, security, and reliability, helping Arcade deliver secure, auditable AI actions in Fortune‑100 settings.

Qualifications

  • 7+ years of software engineering experience.
  • 4+ years training and shipping production ML systems.
  • Experience deploying models in enterprise/production.
  • Strong Python for training and ML work; TypeScript or Go for production services.
  • Able to ship quickly and tolerate ambiguity.

Responsibilities

  • Own the ML training pipeline end to end from data through release.
  • Build models for tool selection, routing, retrieval, and memory.
  • Expand model use cases to new territory like search over tools and context.
  • Develop eval systems with offline and online measurements.
  • Ship on‑prem: quantize, optimize, and package for customer VPCs.
  • Turn production telemetry into training data within enterprise safety boundaries.
  • Set ML stack direction and hiring roadmap.
  • Decide what to build based on deep model systems expertise.
  • Push for shipping tangible features on a tight cycle.

Tools

vLLM
ONNX
TensorRT
llama.cpp

Job description

Arcade is hiring a principal ML engineer to lead the model pipeline, training, and production deployment for agent capabilities. You will own end‑to‑end ML workflows, from data ingestion to publishing, and mentor a team building tool‑calling and agent intelligence that runs inside enterprise environments.

You will ship models and tooling with an emphasis on low latency, security, and reliability, helping Arcade deliver secure, auditable AI actions in Fortune‑100 settings.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior AI Platform Architect
Senior AI Platform Architect

Arcade • Presidio (TX)

On-site
USD 180,000 - 240,000
Lunch provided daily
Company events
Competitive compensation
AI/ML Engineer
AI/ML Engineer

Harnham • San Francisco (CA)

On-site
USD 180,000 - 280,000
Founding Machine Learning Engineer
Founding Machine Learning Engineer

Arcade • San Francisco (CA)

On-site
USD 230,000 - 270,000
Equity
Competitive benefits
Applied AI Engineer: Production ML & Agents
Applied AI Engineer: Production ML & Agents

Brain Co. • San Francisco (CA)

Hybrid
USD 150,000 - 190,000
Founding ML Architect for Agentic AI Systems
Founding ML Architect for Agentic AI Systems

YARD Corporate • United States

Remote
USD 180,000 - 240,000
Senior AI Agents Engineer — Build Core Automation (Equity)
Senior AI Agents Engineer — Build Core Automation (Equity)

Arcadia • San Francisco (CA)

On-site
USD 180,000 - 280,000
Applied ML Engineer for Enterprise AI Agents
Applied ML Engineer for Enterprise AI Agents

Varick Agents LTD. • San Francisco (CA)

On-site
USD 150,000 - 190,000
Equity
Flexible PTO
Free lunch & dinner in office
+2
AI/ML Engineer — Production Agent Architect
AI/ML Engineer — Production Agent Architect

Harnham • San Francisco (CA)

On-site
USD 180,000 - 280,000
Staff ML Engineer: Scale Enterprise AI Agents
Staff ML Engineer: Scale Enterprise AI Agents

Press Ganey • Washington

On-site
USD 130,000 - 190,000
Senior AI Agents Engineer — Scalable LLM Systems & Equity
Senior AI Agents Engineer — Scalable LLM Systems & Equity

Arcadia • New York (NY)

On-site
USD 150,000 - 230,000