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Founding Machine Learning Engineer

Arcade AI, Inc.· Engineering
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San Francisco, CA$230kFull-timePosted 2w ago

About the role

Arcade is building AI agents with secure, auditable tool use in enterprise environments. This role focuses on owning and shipping production ML models and the end-to-end training pipeline for agent capabilities, including tool selection, routing, retrieval, and agent memory, with on-prem and enterprise-ready constraints.

Responsibilities

  • Own the training pipeline: Run Arcade's ML pipeline end to end, from data and training through evaluation and release. Make it reliable enough that shipping a new model is routine, not an event.
  • Build the models: Fine-tune and train models for tool selection, routing, retrieval, and agent memory. Use distillation, embeddings, rerankers and more.
  • Expand the use cases: Take our model into new territory, starting with search and recommendation over tools and agent context.
  • Measure what matters: Build the eval system with offline and online evaluations, and head-to-head comparisons.
  • Ship on-prem: Quantize, optimize, and package models for customer VPCs and air-gapped environments.
  • Turn telemetry into training data: Build loops from production traces to better models within enterprise data boundaries.
  • Set the direction: Choose the ML stack, write the strategy, and help decide hiring for ML.
  • Decide what to build: Use depth in modern agent systems to prioritize impactful model improvements.
  • Use AI to compound your own output: Drive efficiency by faster iteration and shipping.

Qualifications

  • 7+ years of software engineering experience, with 4+ years training and shipping production ML systems.
  • You've trained or fine-tuned models that went to production and moved a customer-facing metric.
  • Expertise in production agent systems: harnesses, memory, skills, tool use, and sub-agents.
  • Knowledge of fine-tuning: data needs and deriving data from telemetry.
  • Evaluations you would defend in a review: statistics fluency to distinguish real signals from noise.
  • Experience deploying models under constraints like latency budgets, limited GPUs, or external infrastructure (e.g., vLLM, ONNX, TensorRT, llama.cpp).
  • Strong Python for ML; TypeScript or Go for production services.

Skills

Required:Software engineeringProduction ML systemsModel training and fine-tuningPythonTypeScript or Go

Benefits

  • competitive salary
  • equity
  • benefits
Last updated Oct 7, 2026. Interested? Apply on the company site.

About Arcade AI, Inc.

Go Beyond Chat: Make AI actually do things.

Arcade is an AI Tool-calling Platform. For the first time, AI can securely act on behalf of users through Arcade's authenticated integrations, or "tools" in AI lingo.

AIAPIsDeveloper ToolsToolsai-infrastructure-and-developmentwing-list-2026wing-list-2026-early-stage
Company profileWebsite

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