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

• Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)
• Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.
• Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.
• Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.
• Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.

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 - housing rental subsidies, a quality company cafeteria, and overtime meals
• Health, dental & vision insurance
• Global travel insurance (for you & your dependents)
• Unlimited, flexible time off