The role involves transforming language models into real-world applications for a global audience.
The project team focuses on developing AI systems that have significant real-world impact and high usage rates.
This is a global role with a hybrid work arrangement, combining flexible remote work with in-office collaboration at the headquarters.
The position requires close collaboration with 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 is preferred, but TensorFlow is also acceptable.
Skills in prompt engineering and dataset curation to ensure alignment with tone, safety, and trust are required.
Familiarity with evaluation metrics such as perplexity, toxicity, and relevance is necessary.
A solid foundation in software engineering, including algorithms, data structures, and clean code practices, is essential.
Benefits:
The position offers a flat organizational structure with real ownership.
Employees will have full involvement in product direction and consensus decision-making.
A flexible work arrangement is provided.
The role is high-impact with visibility across product, data, and engineering teams.
Compensation is competitive, with performance-based bonuses.
Employees will 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 included.
Global travel insurance is provided for employees and their dependents.