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SeniorГибридПолная занятость

Senior AI Engineer I

Оценка ИИ

Исключительное предложение с высокой компенсацией ($280k+ TC), отличным соцпакетом и возможностью работать в одной из самых успешных компаний в сфере молекулярной диагностики после IPO. Единственным минусом для некоторых может стать обязательный гибридный график.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний в области LLM и опыта создания систем с нуля (0-to-1), а также готовности работать в гибридном режиме в Менло-Парке. Высокая планка ожиданий обусловлена необходимостью интеграции ИИ в сложные бизнес-процессы регулируемой медицинской отрасли.

Анализ зарплаты

Медиана240 000 $
Рынок190 000 $ – 300 000 $
Оценка ИИ

Предлагаемая общая компенсация в $280,705 находится на верхнем уровне рыночных ожиданий для Senior AI Engineer в районе залива Сан-Франциско. Базовая зарплата ($174k-$200k) полностью соответствует стандартам Tier-1 технологических компаний для данной локации.

Сопроводительное письмо

I am writing to express my strong interest in the Senior AI Engineer I position at BillionToOne. With over five years of experience in software engineering and a deep focus on building LLM-powered applications, I am excited by the opportunity to apply my technical skills to the transformative field of molecular diagnostics. My background in developing end-to-end AI agents and retrieval systems aligns perfectly with your mission to optimize commercial operations through cutting-edge automation.

In my previous roles, I have successfully bridged the gap between complex business requirements and scalable technical solutions, particularly in 0-to-1 environments. I am particularly impressed by BillionToOne's QCT technology and your rapid growth to $150M+ ARR. I am eager to bring my expertise in Python, AWS, and prompt engineering to your Commercial Data & Applied AI team to help build products that are 10x better than existing solutions.

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Откликнитесь в billiontoone уже сейчас

Присоединяйтесь к BillionToOne, чтобы создавать ИИ-решения нового поколения, которые реально спасают жизни и меняют стандарты медицины.

Описание вакансии

Ready to redefine what's possible in molecular diagnostics?

Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today.

With over 700 employees, half a million patients helped, and one of the most successful IPOs in medical diagnostics history behind us, we're just getting started. Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments.

If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong.

As BillionToOne scales rapidly, we are building a world-class Commercial Data & Applied AI team. We are currently seeking a highly motivated Senior AI Engineer I to support the design and implementation of AI and automation solutions that optimize operations across our commercial, billing, and customer experience teams.

This is a full-time senior role for engineers excited about applying LLMs, AI, and automation to real-world business challenges in healthcare. You will have the opportunity to join a new team and help shape the vision and culture. You will collaborate cross-functionally with stakeholders in Sales, Marketing, Revenue Operations, Billing, Customer Experience, and IT to identify high-impact opportunities for AI-driven solutions that improve scalability and efficiency.

We are builders at heart. We value a strong sense of ownership, intellectual curiosity, and a bias toward action.

This is a hybrid role requiring 2-3 days per week on-site in Menlo Park with the team.

Responsibilities:

  • Build and deploy LLM-powered applications (retrieval systems, AI agents, workflow automation, vector storage) that integrate with internal systems and data sources
  • Partner with business stakeholders to identify automation opportunities, scope requirements, and define success metrics
  • Build lightweight data pipelines and analytics to support AI applications and measure their impact
  • Own projects end-to-end: from prototyping and iteration through production deployment and monitoring
  • Establish best practices for prompt engineering, evaluation, and responsible AI use as the team scales
  • Develop and lead internal training sessions on LLM fundamentals, prompt engineering, and AI-assisted development tools

Qualifications:

  • 5+ years of experience in software engineering, data science, or ML engineering
  • Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, etc.)
  • Strong Python proficiency and comfort with SQL and relational databases
  • Experience deploying and maintaining production systems
  • Familiarity with AWS
  • Excellent communication skills and ability to translate business problems into technical solutions
  • Self-directed and comfortable with ambiguity in a 0-to-1 environment

Nice-To-Haves:

  • Previous entrepreneurial experience
  • Experience with retrieval architectures, vector databases, and embedding models
  • Familiarity with agent frameworks or workflow orchestration tools
  • Experience with traditional ML frameworks (scikit-learn, PyTorch, TensorFlow)
  • Prior work in healthcare, biotech, or other regulated industries

Benefits And Perks:

  • Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients
  • Open, transparent culture that includes weekly Town Hall meetings
  • The ability to indirectly or directly change the lives of hundreds of thousands patients
  • Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%
  • Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%)
  • Supplemental fertility benefits coverage
  • Retirement savings program including a 4% Company match
  • Increase paid time off with increased tenure
  • Latest and greatest hardware (laptop, lab equipment, facilities)
  • Daily on-site lunches provided from top eateries
  • A variety of perks on campus (state of the art gym, restaurant)
  • Free on-site EV charging (compatible with all EVs, including Tesla)

At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).

For this position, we offer a total compensation package of $280,705 per year, including a base pay range of $174,241 - $200,641 per year.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For more information about how we protect your information, we encourage you to review our Privacy Policy.

BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA,a breakthrough that has already transformed the lives of over half a million patients worldwide.

Our Impact

Unity Complete™ is the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. Our Northstar® liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care.

Our Growth

From $0 to $150M+ in Annual Recurring Revenue in just five years. In 2025, we completed one of the most successful IPOs for a medical diagnostics company, building on nearly $400M in private funding,including our $130M Series D in 2024 and backed by world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest.

Our Recognition

Forbes named us one of America's Best Startup Employers for 2025 and we're Great Place to Work certified, with 100% of our people willing to go the extra mile, even as we've scaled to over 700 employees.

Our Future

Headquartered in Menlo Park with facilities in Union City, CA, and a new lab opening in Austin, TX in 2027, we're continuing to push the boundaries of what's possible in molecular diagnostics. We're just getting started.


Ready to help us change the world, one molecule at a time? Learn more atbilliontoone.com

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Навыки

  • Python
  • SQL
  • LLM
  • AWS
  • OpenAI
  • Anthropic
  • Prompt Engineering
  • Vector Databases
  • RAG
  • Scikit-learn
  • PyTorch
  • TensorFlow

Возможные вопросы на собеседовании

Проверка практического опыта работы с современным стеком ИИ.

Расскажите о самом сложном приложении на базе LLM, которое вы развернули в продакшн. С какими проблемами галлюцинаций или задержек вы столкнулись?

Оценка навыков работы с данными, что критично для этой роли.

Как бы вы спроектировали архитектуру RAG (Retrieval-Augmented Generation) для работы с конфиденциальными медицинскими данными компании?

Проверка способности работать в условиях неопределенности.

Опишите случай, когда вам нужно было автоматизировать бизнес-процесс с нечеткими требованиями. Как вы определяли метрики успеха?

Оценка навыков командного взаимодействия и обучения.

Как вы подходите к установлению стандартов промпт-инжиниринга и ответственного использования ИИ в растущей команде?

Проверка технического кругозора.

В каких случаях вы бы предпочли использование традиционных ML-фреймворков (например, scikit-learn) вместо LLM для решения бизнес-задачи?

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billiontoone
Страна
США
Зарплата
174 241 $ – 200 641 $