The position is for a Machine Learning Engineer (LLM) focused on transforming language models into real-world applications.
The company is building AI systems for a global audience, emphasizing real-world impact and high usage.
This role adopts a hybrid work arrangement, combining flexible remote work with in-office collaboration at the headquarters.
The engineer will work closely with regional teams across product, engineering, operations, infrastructure, and data to develop and scale impactful AI solutions.
Key responsibilities include fine-tuning and optimizing open-source models, engineering prompts and datasets, evaluating models, deploying and monitoring models in production, and collaborating with various teams to launch user-facing AI features.
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 experience with TensorFlow is also acceptable.
Skills in prompt engineering and dataset curation that align with tone, safety, and trust are required.
Familiarity with evaluation metrics like perplexity, toxicity, and relevance is necessary.
A solid foundation in software engineering principles, including algorithms, data structures, and clean code practices, is essential.
Benefits:
The company offers a flat organizational structure that promotes real ownership.
Employees will have full involvement in product direction and consensus decision-making.
Flexible work arrangements are provided.
The role has high visibility and impact across product, data, and engineering.
Compensation is competitive, with performance-based bonuses.
Employees gain global exposure to product development.
Additional perks include housing rental subsidies, a quality company cafeteria, and meals for overtime work.
Health, dental, and vision insurance are included.
Global travel insurance is provided for employees and their dependents.
The company offers unlimited and flexible time off.