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- 145 700 $ – 174 800 $
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Senior Machine Learning Engineer
Отличная вакансия в стабильной Fintech-компании с прозрачной вилкой зарплаты, поддержкой виз и современным стеком (LLM, AI Agents). Социальный пакет и культура инклюзивности делают предложение очень привлекательным.
Сложность вакансии
Роль требует глубоких знаний в области LLM, AI-агентов и OCR, а также опыта вывода моделей в продакшн. Высокая планка ответственности за наставничество и кросс-функциональное взаимодействие повышает сложность позиции.
Анализ зарплаты
Предложенная зарплата ($145k - $175k) полностью соответствует рыночному уровню для Senior ML Engineer в штате Юта. Хотя в Кремниевой долине цифры могут быть выше, для локации Дрейпер это конкурентоспособное предложение, дополненное бонусами и акциями.
Сопроводительное письмо
I am writing to express my interest in the Senior Machine Learning Engineer position at BILL. With a strong background in deploying production-grade ML models and a deep fascination with the fintech sector, I am drawn to BILL's mission of empowering businesses through financial automation. My experience in building scalable AI solutions aligns perfectly with your team's focus on next-generation product innovation.
In my previous roles, I have successfully implemented OCR and NLP methodologies to extract insights from complex financial data, much like the challenges described in your job posting. I am particularly excited about the opportunity to work with AI agents and LLMs to enhance BILL's AI workflows. I am confident that my technical expertise in Python, PyTorch, and agentic evaluation, combined with my collaborative mindset, will allow me to make a significant impact on your AI Product Engineering team.
Составьте идеальное письмо к вакансии с ИИ-агентом

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Описание вакансии
Innovate with purpose
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.
Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.
BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another.
✨ Let’s give businesses more time for what matters.
Make your impact within a rapidly growing Fintech Company
Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.
Responsibilities:
- Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
- Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
- Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
- Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
- Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
- Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
- Mentor junior team members and share technical expertise to elevate team capabilities
We’d love to chat if you have:
- Proven experience building and deploying machine learning models in production environments
- Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Previous experience with OCR extraction and NLP methodologies
- Knowledge of AI agents and strong experience with LLMs
- Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
- Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
- A problem-solving mindset and a passion for continuous learning and innovation
Visa Sponsorship: Please note that this position is eligible for visa sponsorship.
#LI
The estimated base salary range for this role is noted below for our office location in Draper, UT. Additionally, this role is eligible to participate in BILL’s bonus and equity plan. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.
Draper UT pay range
$145,700—$174,800 USD
What’s in it for you?
Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.
Here is a preview of some of the amazing benefits here at BILL:
- 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
- HSA & FSA accounts
- Life Insurance, Long & Short-term disability coverage
- Employee Assistance Program (EAP)
- 11+ Observed holidays and wellness days and flexible time off
- Employee Stock Purchase Program with employee discounts
- Wellness & Fitness initiatives
- Employee recognition and referral programs
- And much more
Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.
BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.
We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.
Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- PyTorch
- LLM
- NLP
- Scikit-learn
- OCR
- TensorFlow
- Statistical Analysis
- AI Agents
Возможные вопросы на собеседовании
Вакансия требует опыта работы с LLM и AI-агентами. Важно понять, как кандидат оценивает надежность таких систем.
Как вы подходите к оценке (evaluation) и мониторингу галлюцинаций в системах на базе LLM и AI-агентов в продакшене?
В описании упоминается OCR как ключевой навык для финтеха.
Опишите ваш опыт работы с OCR. С какими основными трудностями при извлечении данных из финансовых документов вы сталкивались и как их решали?
Роль подразумевает создание масштабируемых решений.
Расскажите о самом сложном ML-сервисе, который вы развернули. Как вы обеспечили его масштабируемость и отказоустойчивость?
Вакансия Senior-уровня предполагает менторство.
Как вы подходите к код-ревью и архитектурному планированию в команде, чтобы способствовать росту младших коллег?
Работа в BILL требует тесного взаимодействия с продакт-менеджерами.
Приведите пример, когда технические ограничения ML-модели противоречили бизнес-требованиям. Как вы нашли компромисс?
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- Страна
- США
- Зарплата
- 145 700 $ – 174 800 $