Machine Learning Engineer (LLM) - Remote

Overview

We’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world.

In Short

• This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ.
• You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.
• You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production.
• Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.
• Responsibilities include fine-tuning models, engineering prompts, evaluating outputs, deploying models, and collaborating with teams.

Requirements

• Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).
• Proficiency with PyTorch (preferred) or TensorFlow.
• Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.
• Familiar with evaluation metrics: perplexity, toxicity, relevance.
• Strong software engineering foundations in algorithms, data structures, and clean code practices.

Benefits

• Flat structure & real ownership.
• Full involvement in direction and consensus decision making.
• Flexibility in work arrangement.
• High-impact role with visibility across product, data, and engineering.
• Top-of-market compensation and performance-based bonuses.
• Global exposure to product development.
• Lots of perks including housing rental subsidies and health insurance.
• Unlimited, flexible time off.