13 часов назад
Software Engineer, Applied AI (AI)
150 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Applied AI (AI): Building and deploying production AI/ML capabilities, including inference services, evaluation pipelines, and model-serving infrastructure, with an accent on robustness, reliability, and edge deployment. Focus on evaluating models in adversarial and degraded environments, optimizing low-power inference, and converting research prototypes into maintainable software.
Location: San Francisco, California, United States; onsite at least 2 days per week from the San Francisco office, with 2–4 days preferred.
Salary: $150,000–$170,000 annual base compensation, excluding bonus, equity, and benefits.
Company
is a defense technology company developing products powered by Coherent Distributed Networks for defense, aerospace, commercial aviation, and border protection applications.
What you will do
- Build and deploy applied AI systems, model integrations, inference services, evaluation pipelines, and production-facing capabilities.
- Research, collect data, validate hypotheses, and develop robust, testable, maintainable models with product and mission teams.
- Evaluate and improve model performance under adversarial, noisy, GPS-denied, low-power, and edge deployment conditions.
- Develop production-quality data pipelines, model-serving infrastructure, monitoring, lifecycle management, and system integrations.
- Prototype solutions with stakeholders and iterate toward production-ready implementations.
- Improve AI system reliability through testing, benchmarking, observability, interpretability, failure analysis, and performance optimization.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, machine learning, applied mathematics, physics, or a related technical field.
- At least 2 years of professional software development experience.
- Strong Python programming skills and experience building, testing, deploying, and supporting production software.
- 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.
Nice to have
- Experience with RF signal processing, image or video processing, computer vision, LLM applications, AI agents, or autonomous systems.
- Experience with drones, robotics, sensor fusion, tracking, or moving-target detection.
- Background in aerospace, defense, critical infrastructure, robotics, or other mission-critical environments.
- Experience with low-latency inference, hardware-constrained systems, or degraded-connectivity environments.
- Open-source contributions or other technically significant public work.
Culture & Benefits
- Medical, dental, and vision benefits fully paid by the company.
- 401(k) with a 50% company match up to 6% of pay, plus FSA, HSA, and life insurance.
- Unlimited paid time off, free daily lunch, no-meeting Fridays, and a casual dress code.
- Pre-IPO stock options, relocation assistance, and planned annual bonuses.
- Approximately 10–20% travel, mostly domestic.
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