Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$157к-197к/год
$170к$200кмедиана$220к
По похожим ролям (47) ~ $200к/год
На СНГ рынке: $4.2к/мес ($3.6к - $4.4к)
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Чётко обозначенная руководящая роль сочетает прикладные исследования, техническое лидерство и работу над промышленным ПО; широкий перечень ML-методов оставляет конкретный фокус менее ясным.
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Широкий охват MLСовременные технологииТехническое лидерствоИИ для промышленности
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Data Scientist (AI): Developing machine learning applications and innovative software for engineering design and simulation platforms in manufacturing and process industries with an accent on mathematical modeling, optimization, and cognitive computing. Focus on leading data science and engineering teams, integrating emerging AI technologies, and applying research to complex customer problems.
Location: Bedford, Massachusetts, United States
Salary: $157,400.00–$196,800.00 base compensation, plus eligibility for bonus or variable incentive pay
Company
hirify.global develops engineering design, modeling, and simulation software for manufacturing and process industries.
What you will do
Provide technical leadership to data scientists, engineers, and software developers building machine learning applications for manufacturing and process industries.
Collaborate with customers, product managers, and technical staff on technology strategies for Engineering Design and Simulation products.
Investigate emerging technologies from industry and academia and determine how to integrate them into software applications.
Represent hirify.global and provide thought leadership at industry and academic meetings and conferences.
Requirements
Master’s degree in Computer Science, Engineering, Operations Research, or a related major.
10+ years of experience in data analysis and software development or programming with one or more of Python, Julia, MATLAB, C++/C, and C#.
Strong expertise in engineering mathematics, statistics, and optimization.
Demonstrated experience with machine learning algorithms, including regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, and cognitive computing.
History of publishing research and results in the machine learning field.
Problem-solving ability and attention to detail.
Ability to use scientific research to deliver customer value and deliver results in a fast-paced environment.
Excellent interpersonal, communication, writing, and presentation skills, including the ability to explain complex information clearly and concisely.
Nice to have
PhD.
Experience leading technical teams in modeling, simulation, or AI/ML-related areas.
Experience with LLMs, generative AI, MLOps, graph knowledge, or cloud technologies.
Culture & Benefits
Career development programs and opportunities for community service.
Social events supporting relationship building across the global community.
Paid time off and a charitable giveback day.
Medical, dental, and vision insurance.
Retirement benefits for eligible employees.
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