7 часов назад
Product Manager, AI/ML & Foundation Models (AI)
190 000 - 290 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager, AI/ML & Foundation Models (AI): Defining and delivering the Hivemind AI Platform for training, evaluating, governing, and deploying foundation, robotics, and vision-language-action models with an accent on MLOps, synthetic data, and edge autonomy. Focus on building closed-loop cloud-to-edge workflows, model governance and safety gates, and scalable AI Factory capabilities for autonomous systems.
Location: On-site in San Diego, California or Washington, DC, United States
Salary: $190,000–$290,000 per year, plus bonus, benefits, and equity for regular employees
Company
is a venture-backed defense-tech company developing intelligent autonomy systems, including Hivemind autonomy software, autonomous aircraft, and simulation technologies.
What you will do
- Own the roadmap for foundation-model training workflows covering dataset ingestion, curation, labeling, synthetic data generation, training, and distillation.
- Define requirements for world models, robotics models, multimodal models, and vision-language-action training and evaluation.
- Lead MLOps capabilities including data lineage, experiment tracking, model versioning, and scalable evaluation suites.
- Develop synthetic-data, simulation, model-governance, auditability, and compliance tooling.
- Define safe deployment workflows, guardrails, quantization, and inference tooling for disconnected edge hardware.
- Coordinate with engineering, AI research, autonomy, safety, cyber, certification, hardware, and customer-facing teams.
Requirements
- 7+ years of experience in product management or highly technical ML/AI product roles.
- 2+ years of hands-on software development experience.
- Strong background in computer science, electrical engineering, robotics, or a related field.
- Deep understanding of foundation models, robotics models, multimodal models, MLOps, and training infrastructure.
- Experience managing products spanning data pipelines, cloud training clusters, model governance, and edge deployments.
- Experience transitioning ML research into stable, production-grade workflows and working with simulation-based data generation.
Nice to have
- Experience with autonomy, robotics, embedded AI, mission-critical systems, defense, dual-use, or safety-critical AI.
- Hands-on familiarity with GPU infrastructure, distributed training, or data lakehouse architectures.
- Experience designing AI Factory-style data-to-edge pipelines.
- Advanced degree in engineering, ML/AI, robotics, or a related field.
Culture & Benefits
- Full-time regular employee package includes salary within the listed range, bonus, benefits, and equity.
- Work is performed on-site in San Diego or Washington, DC.
- Offers are contingent on a cleared background and may include a reference check.
- is an equal opportunity and affirmative action employer.
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