2 часа назад
Member of Technical Staff (AI)
210 000 - 320 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Member of Technical Staff (AI) (Generative AI and Multimodal Systems): Advancing LLMs and multimodal systems through foundational research with an accent on model architectures, training methods, optimization, and production AI infrastructure. Focus on designing and evaluating novel models, analyzing performance bottlenecks, and transitioning research prototypes into scalable production systems.
Location: San Mateo, United States
Salary: $210K–$320K annually plus equity
Company
provides an AI platform for building, training, and serving specialized models across text, image, embedding, audio, and multimodal workloads.
What you will do
- Conduct foundational research to advance the capabilities, efficiency, and reliability of LLMs and multimodal systems.
- Design, implement, and evaluate model architectures, training methods, and optimization techniques.
- Collaborate with engineering teams to transition research prototypes into production-grade systems.
- Analyze empirical results, identify performance bottlenecks, and improve model quality.
- Contribute to research strategy by identifying high-impact opportunities and emerging AI trends.
Requirements
- Research background in artificial intelligence, machine learning, physics, or a similar field.
- Experience solving analytical problems using analytical and quantitative approaches.
- Experience communicating research to audiences with different backgrounds.
- Programming experience in C, C++, Python, or similar languages.
- Research and engineering experience demonstrated through grants, fellowships, patents, internships, professional experience, or coding competitions.
Nice to have
- PhD in computer science, computational physics, mathematics, or a similar field.
- First-author publications at peer-reviewed conferences or journals.
- Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
Culture & Benefits
- Work on challenges in AI infrastructure, including low-latency inference and scalable model serving.
- Build technology used by businesses and developers to harness AI.
- High ownership and direct impact in a fast-growing environment.
- Collaborate with experienced engineers and AI researchers focused on curiosity and innovation.
- Compensation includes equity.
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