3 часа назад
Staff R&D AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff R&D AI Engineer (VLA/Multimodal AI): Building Vision-Language-Action models and reinforcement learning systems that combine visual perception, natural language understanding, and action prediction with an accent on multimodal training, model alignment, and real-time edge and cloud inference. Focus on designing sequential decision-making systems, optimizing computer vision and large language models, and translating AI research into practical applications.
Location: Austin, TX; hybrid
Company
is building distributed AI infrastructure for personalized AI, enabling private large models and real-time data processing on consumer hardware and at the edge.
What you will do
- Design and develop Vision-Language-Action models integrating visual perception, natural language understanding, and action prediction.
- Architect reinforcement learning systems for sequential decision-making, policy learning, and skill acquisition.
- Build and optimize computer vision pipelines for object detection, segmentation, tracking, and scene understanding.
- Develop and fine-tune large language models for instruction following, reasoning, task planning, and RLHF-based alignment.
- Create multimodal training pipelines using synthetic and real-world data, and optimize inference for real-time edge and cloud deployments.
- Lead technical initiatives, mentor AI engineers, collaborate with engineering teams, and present or publish research.
Requirements
- 7+ years of AI/ML engineering experience, including 4+ years focused on deep learning and neural network development.
- Strong knowledge of reinforcement learning algorithms such as PPO, SAC, and TD3, as well as sequential decision-making and control systems.
- Hands-on expertise in computer vision and natural language processing, including detection, segmentation, visual tracking, transformers, and large language model fine-tuning.
- Proficiency in Python and PyTorch and/or TensorFlow, with experience in distributed training, model optimization, and large-scale model deployment.
- Experience with MLOps practices, including model versioning, monitoring, and deployment pipelines.
- Ability to work independently on complex research problems and collaborate effectively with cross-functional engineering teams.
Nice to have
- PhD in Computer Science, Robotics, AI/ML, or a related field focused on multimodal learning or robotics.
- Experience with VLA models, RLHF, imitation learning, inverse reinforcement learning, embodied AI, or sim-to-real transfer.
- Knowledge of 3D computer vision, spatial reasoning, edge AI optimization, distributed training frameworks, or safety-critical AI systems.
- Published research, open-source contributions, startup experience, and familiarity with cloud platforms and containerization.
Culture & Benefits
- Values include truth, ownership, tenacity, and humility.
- Competitive salary, equity options, and comprehensive health, dental, and vision benefits for U.S.-based employees.
- 401(k) match, flexible time off, parental leave, supplemental life insurance, and continuing education support.
- $200/month Health & Wellness stipend and a $500/year Function Health subscription.
- Free parking is available for in-office employees; benefits may vary outside the United States.
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