The role involves transforming language models into real-world applications for a global audience.
The project team focuses on building AI applications that have significant real-world impact and high usage.
This is a global position with a hybrid work model, combining flexible remote work and in-office collaboration at headquarters.
The role requires close collaboration with regional teams across product, engineering, operations, infrastructure, and data to build and scale impactful AI solutions.
Responsibilities include fine-tuning state-of-the-art models, designing evaluation frameworks, and deploying AI features into production.
The work ensures that models are intelligent, safe, trustworthy, and impactful at scale.
Requirements:
Candidates must have strong experience in transformers, deep learning, and fine-tuning methods such as LoRA/QLoRA, SFT, and distillation.
Proficiency in PyTorch (preferred) or TensorFlow is required.
Skills in prompt engineering and dataset curation to ensure alignment with tone, safety, and trust are necessary.
Familiarity with evaluation metrics like perplexity, toxicity, and relevance is essential.
A solid foundation in software engineering, including algorithms, data structures, and clean code practices, is required.
Benefits:
The position offers a flat structure with real ownership of projects.
Employees will have full involvement in product direction and consensus decision-making.
There is flexibility in work arrangements.
The role is high-impact with visibility across product, data, and engineering teams.
Compensation includes top-of-market salaries and performance-based bonuses.
Employees gain global exposure to product development.
Additional perks include housing rental subsidies, a quality company cafeteria, and overtime meal allowances.
Health, dental, and vision insurance are provided.
Global travel insurance is available for employees and their dependents.
The company offers unlimited and flexible time off.