5 дней назад
Senior AI Research Engineer
160 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Research Engineer (AI/ML): Developing and evaluating novel machine learning and deep learning algorithms for advanced aerospace and air mobility systems with an accent on multimodal foundation models, transformers, diffusion policies, and scalable research tooling. Focus on prototyping research from academic literature, benchmarking model behavior, debugging data and training requirements, and transitioning research systems into production.
Location: San Jose, California, United States
Base pay: $160,000–$190,000 per year
Company
develops advanced air mobility technologies, including air taxis, unmanned aircraft systems, and physical AI solutions for commercial aerospace and defense.
What you will do
- Design, implement, and evaluate novel machine learning and deep learning algorithms.
- Develop AI models from training data and architecture design through evaluation and deployment.
- Prototype and validate complex solutions based on academic research with other research engineers.
- Run experiments to benchmark new techniques and analyze model behavior.
- Build scalable and reproducible tools and frameworks for research and development.
- Communicate research findings and help transition prototypes into production-ready systems.
Requirements
- Master’s or PhD degree in Computer Science or Computer Engineering, with a strong focus on AI and machine learning.
- Strong experience with machine learning frameworks such as PyTorch or TensorFlow.
- Deep understanding of transformer architectures, attention mechanisms, multimodal foundation models, diffusion policies, fine-tuning, model distillation, and mixture-of-experts models.
- Ability to define and debug AI model requirements related to data, training, and evaluation.
- Strong software development practices, including code quality and version control.
- Current knowledge of machine learning research, techniques, and methodologies.
Nice to have
- Experience with reinforcement learning, self-supervised training, or imitation learning.
- Experience developing VLA models for robotic manipulation and mobility.
- Experience developing production AI models.
- Publications at leading conferences.
Culture & Benefits
- Work within the AI Products software organization alongside aerospace engineering teams.
- Join an early-stage product environment with the resources of an established organization.
- Inclusive workplace focused on diversity, equity, and equal opportunity.
- Reasonable accommodations are available for applicants with disabilities or sincerely held religious beliefs.
- Certain positions may be eligible for visa sponsorship.
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