Tech Stack
PyTorchTensorflow
About the role
- Fine-tune & adapt open-source LLMs (e.g., LLaMA, Mistral, Gemma) using LoRA/QLoRA
- Engineer prompts and curate datasets to reflect tone, brand voice, and safety
- Design and build evaluation frameworks and metrics pipelines for perplexity, toxicity, and relevance
- Deploy, scale, and monitor models in production with performance optimization and drift monitoring
- Collaborate with product, engineering, design, operations, infrastructure, and data teams to launch user-facing AI features
- Bring AI features into production ensuring models are safe, trustworthy, and impactful at scale
- Prototype, test, and iterate rapidly to deliver practical AI solutions
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
- Prior work in text generation, moderation, or personalization (nice to have)
- Experience with RLHF or reinforcement learning in LLMs (nice to have)
- Contributions to open-source ML projects (nice to have)
- Ability to prototype, test, and iterate quickly; thrive in startup environment
- Ownership mindset, humility, and bias for speed
- 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
- Housing rental subsidies
- Quality company cafeteria
- Overtime meals
- Health, dental & vision insurance
- Global travel insurance (for you & your dependents)
- Unlimited, flexible time off
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
fine-tuningLoRAQLoRAtransformersdeep learningPyTorchTensorFlowprompt engineeringdataset curationevaluation metrics
Soft skills
collaborationprototypingiterationownership mindsethumilitybias for speed