Staff Machine Learning Engineer

About the role

Join BILL's AI Product Engineering team to shape the future of intelligent financial automation. As a Staff Machine Learning Engineer you will drive high‑impact ML initiatives, mentor engineers, and set technical direction across document understanding and model‑serving infrastructure.

Key responsibilities

• Own end‑to‑end technical direction for ML projects, from research to production deployment and measurement.
• Lead LLM strategy, including fine‑tuning open‑weight models, building evaluation harnesses, and making build‑vs‑buy decisions.
• Design the data flywheel with labeling pipelines, human‑in‑the‑loop feedback, and drift monitoring.
• Set engineering standards for model evaluation, calibration, reproducibility, and responsible deployment.
• Mentor senior and mid‑level ML engineers and influence roadmaps with product and platform leadership.

Required profile

• 8+ years of software/ML engineering experience with a demonstrated staff‑level impact.
• Hands‑on expertise with modern ML/AI stack (PyTorch, distributed training, experiment tracking, feature and vector stores).
• Direct experience fine‑tuning LLMs (supervised, LoRA/QLoRA, DPO/RLHF) and shipping them at scale.
• Production experience in recommendation, personalization, or search/ranking systems.
• Strong data reasoning: sampling, class imbalance, evaluation design, calibration, drift detection.

Required skills

• PyTorch
• Distributed training
• Experiment tracking
• Feature stores
• Vector stores
• LLM fine‑tuning (LoRA, QLoRA, DPO, RLHF)
• Recommendation systems, personalization, search/ranking
• Document AI (OCR pipelines, LayoutLM, Donut, vision‑language models)

What we offer

• Competitive salary ranges based on location.
• Medical, dental, vision, life and disability insurance.
• 401(k) retirement plan and employee stock purchase program.
• Paid holidays, flexible time off, and wellness initiatives.
• Fully paid health, dental, and vision plans.