Scoutai

AI Engineer

Sunnyvale, CA · Full-time

Sponsorship not specified$160k-$400kDetected 13 days ago

PythonMachine LearningDeep LearningPyTorchAgentic AIA/B TestingRoboticsResearchCommunicationAdaptability

About the role

Your work will directly influence how our system reasons, plans, remembers and coordinates across multiple robots to accomplish long-horizon missions.
Depending on your background and interests, you'll contribute across the stack: model training and evaluation, reinforcement learning, evaluation and simulation, reasoning and memory architectures, multi-agent coordination, and edge inference optimization.
You'll be moving fast, context-switching daily, and helping define the culture and process as we go.

Design, train, and evaluate multimodal foundation models that enable multi-robot mission execution
Drive model development decisions including model architectures, data mixtures, curriculum design, and training recipes informed by rigorous experimentation
Develop memory, communication, planning, and tool-use capabilities for AI agents operating across teams of robots
Be obsessed with evaluation: design benchmarks, metrics, and testing methodologies that enable rapid iteration across the team
Collaborate across engineering, robotics, and mission teams to integrate AI systems with onboard autonomy stacks
Conduct field trials and mission operations to validate system performance e under real-world constraints
Be a core part of a team building the first defense-specific robotic foundation model
Collaborate with some of the top engineers in autonomy, AI, and national security

2+ years of hands-on experience building and deploying AI models, including 2+ years working with multimodal models or agentic AI systems
Proficiency in Python, PyTorch, and modern machine learning infrastructure
Experience training, finetuning, and evaluating large-scale deep learning models using distributed compute infrastructure
Demonstrated experience improving model performance through data curation, training strategy, evaluation design, and rigorous experimentation
BS, MS, or PhD in Computer Science, Engineering, Mathematics, Physics, or related technical field, or equivalent practical experience. Advanced graduate research in AI, robotics, or machine learning is a plus.

Must be a U.S. Person due to required access to U.S. export controlled information or facilitie
Work on the world's most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines
See your work deployed on real systems
Help define the future of intelligent defense systems
Backed by Draper Associates, Booz Allen Ventures, and other top investors
Translate foundational research into deployable, real-time perception and decision-making systems
Solid grasp of modern model training techniques including SFT, DPO, RLVR
Demonstrated ability to take research from prototype to product in fast-moving environments

The stated salary range below represents an estimated base pay only and reflects consideration of multiple compensation factors.
Final salary offers may differ depending on factors including, but not limited to, relevant experience or training background, specialized skills, and business needs.
US Salary Range
$160,000 - $400,000 USD

Competitive compensation package including base salary and bonus
Meaningful equity
Premium medical, dental, and vision plans with $0 paycheck contribution
Competitive PTO and company holiday calendar
Most full-time positions also include highly competitive equity awards, which form part of Scout AI's overall compensation package.
In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees.

This listing is sourced directly from Scoutai's careers page and normalized into a canonical job model.