ML Engineer, Foundation Models

Job not on LinkedIn

🔥 18 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Humble Robotics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2026

📦 Logistics

🚗 Transport

🚘 Automotive

Logistics • Transport • Automotive

Humble Robotics is a technology company building the Humble Hauler — a purpose-built, cabless autonomous electric freight vehicle that combines tractor, trailer, and driver functionality into a single platform. The company emphasizes vision-first AI autonomy, dock-to-dock capability (including direct unloading at docks), predictive safety and redundant failsafe systems, and a full-service operating model with 24/7 remote operational support and charging. The Humble Hauler is positioned to lower per-mile costs through a lighter, electric design that increases hauling capacity, eliminates diesel dependency, and targets reliable, compliant large-scale logistics operations.

📋 Description

• Design and iterate on our VLA model architecture—including the VLM backbone, action decoder, and multimodal fusion pipeline • Build and optimize large-scale training infrastructure (distributed training, data pipelines, mixed-precision, efficient fine-tuning) • Develop simulation-based evaluation and closed-loop training workflows using photorealistic neural rendering • Curate and manage multimodal training datasets spanning real-world driving and synthetic scenarios • Translate state-of-the-art research (diffusion/flow-matching action heads, reasoning-augmented VLAs, world models) into production-grade systems • Collaborate directly with vehicle systems and controls engineers to integrate model outputs into a real-time autonomous driving stack

🎯 Requirements

• MS or PhD in Computer Science, Machine Learning, Robotics, or a related field—or equivalent industry experience • Strong proficiency in PyTorch, distributed training, and GPU-accelerated workflows • Solid foundation in transformer architectures, attention mechanisms, and modern generative modeling (diffusion, flow matching) • Eligible to work in the United States

🏖️ Benefits

• Salary ranges are determined by role, level, and location • Individual pay is determined by additional factors, including qualifications, skills, experience, and location