7 дней назад
AI Engineering Lead
280 000 - 380 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineering Lead (LLMs/Multimodal Video): Shipping and optimizing AI/ML models for video applications with an accent on post-training, model evaluation, inference performance, and user-feedback data flywheels. Focus on building production-scale multimodal systems, balancing quality, latency, reliability, and infrastructure cost, and leading a high-performing AI engineering team.
Location: Mountain View, United States; on-site
Salary: $280,000–$380,000 per year, plus potential equity and bonus
Company
develops an AI video agent that helps creators and businesses enhance their social media presence through video.
What you will do
- Ship AI/ML models from prototype to production at scale.
- Lead model post-training, including fine-tuning, preference optimization, evaluation, and learning from user feedback.
- Build data flywheels that convert user behavior and feedback into training data and continuous model improvements.
- Optimize inference for self-hosted models, focusing on latency, throughput, GPU utilization, quantization, and serving cost.
- Set the technical roadmap, review architecture, mentor engineers, and manage a small AI team.
- Make pragmatic build-versus-buy decisions across proprietary APIs, open-source models, and internally trained models.
Requirements
- Proven experience deploying AI/ML models to production at scale.
- Deep expertise in model post-training and model evaluation, including offline benchmarks, human evaluation, online experiments, and product-quality metrics.
- Strong experience optimizing inference for self-hosted models.
- Practical experience applying LLMs or multimodal models to video applications such as highlight detection, content curation, ranking, personalization, or editing decisions.
- Familiarity with vision-language models, ASR/transcription, video understanding, and video enhancement or upscaling.
- Experience setting technical direction and some people-management experience.
Nice to have
- Experience with consumer video, creator tools, recommendation or content systems, or other high-scale multimodal products.
Culture & Benefits
- Work with a team of AI enthusiasts and video experts.
- Company values include championing teamwork, ruthless prioritization, fast shipping, and customer focus.
- Compensation may include equity and discretionary bonuses or incentives.
- Benefits vary depending on the employment arrangement and country of work.
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