TL;DR
Principal Applied Scientist (AI): Lead R&D of retrieval, matching, ranking, and generative algorithms for hirify.global Ads recommendation systems with an accent on LLM/SLM/LRM model training, fine-tuning, and productionization at web scale. Focus on designing scalable recommendation systems, advancing AI research, and providing technical leadership across distributed teams.
Location: Bengaluru, India (onsite)
Company
hirify.global is a global technology corporation focused on software, AI, and cloud services, empowering individuals and organizations worldwide.
What you will do
- Advance research and development of retrieval, ranking, matching, and generative AI models.
- Train, fine-tune, and productionize large-scale LLM/SLM/LRM models.
- Improve ads ranking platform for usability, scalability, and efficiency.
- Provide technical leadership, set direction, and coach distributed teams.
- Collaborate with research and engineering teams to align strategy.
- Stay current with AI research trends to maintain state-of-the-art solutions.
Requirements
- Location: Must be based in Bengaluru, India (onsite role).
- Bachelor’s degree with 8+ years or Master’s with 6+ years or Doctorate with 5+ years in relevant fields.
- 8+ years experience in machine learning with large-scale model production.
- Hands-on experience with LLM/SLM/LRM training, fine-tuning, and inference optimization.
- Proficiency in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed training.
- Ability to pass hirify.global Cloud background check and security screenings.
Nice to have
- 10+ years ML experience and proven platform architecture influence.
- Publications in top AI conferences (NeurIPS, ICML, KDD, ACL, SIGIR).
Culture & Benefits
- Inclusive culture valuing respect, integrity, and accountability.
- Growth mindset and innovation-driven environment.
- Equal opportunity employer with accommodations for disabilities.
Будьте осторожны: если вас просят войти в iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →