2 months ago
Base Salary
$166k - $234k/yr
Responsibilities
- Own technical direction for ML initiatives spanning document understanding, field extraction, research, production deployment, and model measurement.
- Prototype, fine-tune, and ship ML models while writing production code and mentoring engineers.
- Lead LLM strategy, including open-weight model fine-tuning, evaluation harnesses, and build-versus-buy decisions.
- Translate research literature into production experiments, ablations, and practical techniques.
- Design labeling pipelines, human-in-the-loop feedback systems, data flywheels, and drift monitoring.
- Set standards for model evaluation, calibration, reproducibility, and responsible deployment.
- Mentor senior and mid-level ML engineers through code review, pairing, and technical guidance.
- Influence technical roadmaps in partnership with product and platform leadership.
Requirements
- Bachelor’s degree with at least 8 years of related experience, or a master’s degree with 6 years, or a PhD with 3 years, or equivalent experience.
- At least 8 years of software or ML engineering experience with Staff-level or equivalent technical scope while remaining hands-on.
- Experience with PyTorch, distributed training, experiment tracking, feature stores, and vector stores.
- Direct experience with supervised fine-tuning, LoRA, QLoRA, DPO, RLHF, structured-output training, and production deployment of fine-tuned models.
- In-depth knowledge of open-weight and foundation models, including document AI, OCR pipelines, layout-aware models, and vision-language models.
- Production experience in recommendation systems, personalization, or search/ranking at scale, including feedback loops and position bias.
- Strong knowledge of sampling, class imbalance, evaluation design, metric selection, confidence calibration, leakage detection, distribution shift, and statistical experimentation.
- Research-oriented approach with the ability to evaluate literature, form hypotheses, run disciplined experiments, and ship results.
- Preferred qualifications include publications, patents, open-source contributions, privacy-constrained ML experience, and multi-model routing or cascade architecture experience.
Benefits
- Remote-first work arrangement with office spaces in San Jose, California, and Draper, Utah, plus opportunities for in-person collaboration.
- Medical, dental, and vision plans with 100% employee premium coverage and HMO, PPO, or HDHP options.
- HSA and FSA accounts.
- Life insurance and long- and short-term disability coverage.
- Employee Assistance Program.
- 11 or more observed holidays, wellness days, and flexible paid time off.
- 401(k) retirement plan.
- Employee Stock Purchase Program with employee discounts.
- Wellness and fitness initiatives, employee recognition programs, and referral programs.
Tech Stack
Categories
About BILL
BILL builds cloud software that automates payables, receivables, and spend/expense workflows for small and midsize businesses and accounting firms, with integrations to QuickBooks, NetSuite, and Intacct. Its model combines SaaS subscriptions with payment processing and card interchange fees across its B2B payments network. Publicly traded on the NYSE (BILL) and headquartered in San Jose, it was founded in 2006 and expanded with the Divvy and Invoice2go acquisitions.