Drimva

Vooma

AI Engineer

San Francisco Office · Full-time · Posted Apr 20, 2026

About the job

Build and operate production AI systems that automate freight workflows, including training, evaluating, deploying, and continuously improving multimodal models.

What you'll do

  • Train, fine-tune, deploy, and monitor multimodal models; own their lifecycle from experimentation through production.
  • Build evaluation frameworks and data flywheels, and develop systems for feedback, live learning, and model adaptation.
  • Work with engineering and product teams to integrate models into reliable, high-performance systems.

What they ask for

  • Hands-on experience with modern foundation models in production.
  • Strong intuition for model behavior, evaluation, and failure modes.
  • Experience with fine-tuning, training pipelines, and dataset construction.
  • Comfort working across Python-based ML stacks and TypeScript-based production systems.

Nice to have

  • Familiarity with RLHF, synthetic data generation, or active learning.
  • Experience applying techniques such as negative mining.

Tools

Python, Typescript, Next.js, GraphQL, Node, OpenAI, Anthropic

AI focus

Applied AI for freight automation: training and fine-tuning multimodal models, evaluating and hardening them, and enabling continuous learning from production feedback.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)