Applied AI Engineer
CHAOS Industries3 hours ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$150k - $170k/yr
Responsibilities
- Build applied AI systems, including model integration, inference services, evaluation pipelines, and production-facing AI capabilities.
- Research, collect data, validate hypotheses, and create robust, testable, maintainable, and deployable models with product and mission teams.
- Evaluate and improve model performance in adversarial GPS-denied, low-power, edge, degraded, and noisy environments.
- Develop production-quality software for data acquisition, model serving, monitoring, lifecycle management, data processing, and system integration.
- Create rapid prototypes and iterate them toward production-ready implementations with mission, product, and technical stakeholders.
- Contribute to AI system reliability through testing, benchmarking, observability, interpretability, failure analysis, and performance optimization.
- Learn unfamiliar technical domains and existing codebases quickly while balancing discovery, implementation, experimentation, meetings, and production support.
Requirements
- US citizenship or permanent residency is required.
- BS, MS, or PhD in Computer Science, Electrical/Electronics Engineering, Data Science, Applied Mathematics, Physics, or a related technical field, or equivalent experience.
- 2–5 years of professional software development experience; exceptional fresh graduates are welcome to apply.
- Very strong Python programming skills.
- Experience building, testing, deploying, and supporting production software and models.
- Experience with AI/ML model integration, model-serving infrastructure, or model lifecycle management.
- Experience with model evaluation, benchmarking, robustness testing, interpretability, or ML observability.
- Familiarity with APIs, distributed systems, containers, CI/CD, observability, edge deployment environments, and GPU optimization.
- Preferred experience includes explainable AI, real-time digital video processing, productizing machine learning models, LLM applications, computer vision, signal processing, autonomous or robotic systems, AI agents, RF signal processing, drones, sensor fusion, tracking, moving-target detection, and hardware-constrained or degraded-connectivity environments.
- Experience in aerospace, defense, critical infrastructure, robotics, or other mission-critical environments is a strong plus.
Benefits
- Medical, dental, and vision benefits are 100% paid by the company.
- Benefits include a 401(k) with a 50% company match up to 6% of pay, FSA, HSA, life insurance, and more.
- Perks include free daily lunch, no-meeting Fridays, unlimited PTO, and a casual dress code.
- Competitive base salary, pre-IPO stock option grants, relocation assistance, and annual bonuses coming soon.
- The role requires 10–20% travel.
- The role is onsite at least two days per week from the San Francisco office, with two to four days per week preferred.
Tech Stack
Categories
About CHAOS Industries
CHAOS Industries builds networked sensing, communications, and real-time software systems for defense, government security, commercial aviation, and critical infrastructure operators. It sells integrated hardware–software platforms and related services to government and industrial customers. Founded in 2022 and headquartered in Los Angeles, the privately held company also maintains offices in Washington, D.C., San Francisco, San Diego, Seattle, and London, and its products are designed for fielded, time-critical operations.