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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$143к-286к/год
$170к$180кмедиана$210к
По похожим ролям (50) ~ $180к/год
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Понятная зона ответственности на уровне Staff, масштабные ML-задачи и зарплата на уровне рынка делают вакансию привлекательной, хотя работа привязана к офису в Саннивейле.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Scientist (AI): Building large-scale BuyBox, Search, and Personalization machine learning systems for ranking offers, selecting product variants, and improving customer decisions with an accent on recommendation systems, Learning-to-Rank, Generative AI, LLMs, and neural networks. Focus on leading research through experimentation, A/B testing, production deployment, model monitoring, and measurable impact across millions of products, sellers, and customer interactions.
Location: Sunnyvale, California, United States; home office at 1395 Crossman Ave
Annual salary: $143,000–$286,000, plus performance-based bonuses and possible stock compensation.
Company
hirify.global Global Tech develops technology and data products for hirify.global, a large-scale retail and eCommerce business serving hundreds of millions of people.
What you will do
Lead machine learning solutions for BuyBox offer ranking, Variant Leader Selection, Search, and Personalization.
Build ranking and recommendation systems using Learning-to-Rank, deep learning, neural networks, embeddings, and modern machine learning techniques.
Apply Generative AI and LLMs to semantic understanding, personalization, ranking, and customer experience.
Lead initiatives from problem formulation and research through offline evaluation, A/B testing, production deployment, monitoring, and impact measurement.
Identify data sources, ensure data quality, and build scalable data pipelines and production ML systems.
Partner with Product, Engineering, Analytics, and business stakeholders; establish ML practices and mentor Data Scientists.
Requirements
Required expertise in machine learning, ranking, recommendation systems, information retrieval, and personalization.
Proficiency in Python, BigQuery, PySpark, Hive, and data visualization tools.
Deep understanding of Learning-to-Rank, neural networks, embeddings, representation learning, and recommendation techniques.
Experience applying Generative AI and LLMs to real-world machine learning problems.
Experience building and deploying data pipelines, MLOps, and large-scale production ML systems.
Strong knowledge of experimentation, A/B testing, statistical methods, and model evaluation.
Ability to lead complex, ambiguous initiatives, influence technical direction, communicate effectively, and collaborate cross-functionally.
One of the following minimum qualification paths: a bachelor's degree in a listed quantitative or computing field plus 4 years of analytics-related experience; a master's degree in a listed field plus 2 years of analytics-related experience; or 6 years of experience in analytics or a related field.
Nice to have
Data science, machine learning, optimization models, or a PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, or Applied Mathematics.
Successful completion of assessments in Python, Spark, Scala, or R.
Experience with open-source frameworks such as scikit-learn, TensorFlow, or Torch.
Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility best practices.
Culture & Benefits
Full-time employment within hirify.global Global Tech, with opportunities to work on technology operating at hirify.global scale.
Benefits may include 401(k) matching, stock purchase plans, health plans, paid parental leave, PTO, sick leave, family care leave, and disability coverage.
Additional benefits include company-paid life insurance, company discounts, military leave pay, and adoption or surrogacy expense reimbursement.
Live Better U provides eligible full-time and part-time associates with hirify.global-paid education benefits, including tuition, books, and fees for qualifying programs.
Performance-based bonus awards may be available; benefits depend on job classification, eligibility, and applicable plan terms.
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