Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$161к-241к/год
$190к$220кмедиана$260к
По похожим ролям (50) ~ $220к/год
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Чётко определённая роль уровня Principal сочетает разработку сложных алгоритмов с реальными клиническими задачами, но обязательное присутствие в офисе четыре дня в неделю ограничивает гибкость.
Офис почти каждый день
Актуальный стек
Влияние на медицину
Техническое лидерство
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Algorithm Engineer – Imaging / Ultrasound (ML) (signal processing, medical imaging, and machine learning): Developing signal processing, image processing, and computational algorithms for ultrasound-enabled medical device capabilities in the Affera Prism-2 cardiac mapping platform with an accent on real-time algorithm implementation, clinical data analysis, and image processing. Focus on evaluating technical feasibility, training and validating algorithms, translating clinical needs into solutions, and providing technical leadership in algorithm development.
Location: Onsite in Newton, Massachusetts, United States; an additional location is Mounds View, Minnesota, United States. Employees work onsite at least 4 days per week.
Salary: $160,800–$241,200 annually for U.S. locations excluding Puerto Rico and specific California locations.
Company
hirify.global develops healthcare technologies designed to alleviate pain, restore health, and extend life, serving patients across more than 150 countries.
What you will do
Research, design, develop, and evaluate signal processing, image processing, and computational algorithms for medical device applications.
Advance ultrasound-enabled capabilities for the Affera Prism-2 cardiac mapping and navigation platform.
Assess technical feasibility, performance, and design tradeoffs for new concepts.
Implement complex real-time or near-real-time algorithms in software.
Analyze bench, preclinical, and clinical data to develop, train, verify, and validate algorithms.
Collaborate with engineering, design, clinical, and research teams while providing technical leadership and mentorship.
Requirements
Bachelor’s degree with at least 7 years of relevant experience, or a master’s degree with at least 5 years of relevant experience, or a PhD with at least 3 years of relevant experience.
For bachelor’s degrees earned outside the United States, the degree must satisfy the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A).
Strong foundation in signal processing, applied mathematics, and algorithm development.
Strong programming skills in Python, C++, or both.
Strong quantitative skills in experiment design, validation, and performance analysis.
Ability to independently develop and evaluate algorithms in an early-stage technology development environment.
Nice to have
Advanced degree in electrical engineering, computer science, data science, biomedical engineering, mathematics, or physics.
Expertise in image processing or computer vision for complex, noisy, or real-time data, ideally involving cardiac ultrasound or medical imaging.
Experience with geometric reconstruction, segmentation, labeling, registration, or spatial modeling.
Experience applying modern machine learning algorithms to image processing problems.
Culture & Benefits
Regular full-time employment with health, dental, vision, life, disability, retirement, paid time off, and paid holiday benefits.
Additional offerings include health and dependent-care spending accounts, tuition assistance, employee stock purchase opportunities, incentive plans, and employee assistance resources.
The role includes a short-term hirify.global Incentive Plan.
In-person collaboration is emphasized, with a minimum of 4 onsite days per week.
U.S. work authorization sponsorship is offered for Principal-level roles and above when specialized expertise aligns with long-term business needs.
Hiring process
Applications are accepted through official hirify.global channels only.
hirify.global does not request payment or sensitive personal information during early hiring stages.
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