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11 дней назад

Machine Learning Scientist II (Ads Science)

176 000 - 184 250$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Machine Learning Scientist II (Ads Science): Designing, building and deploying large-scale ML models and algorithmic decision-making systems for Wayfair's ads, search and recommendations with an accent on production ML, cross-functional stakeholder collaboration and scalable ML services. Focus on model monitoring, edge-case handling and identifying high-ROI model improvements.

Location: Must be based in, or plan to relocate to, Boston, MA. Hybrid schedule: onsite in Boston office Tuesday–Thursday, remote Monday and Friday.

Salary: USD 176,000–184,250 annual base pay (plus equity, bonuses and benefits depending on the position).

hirify.global is one of the world's largest online destinations for the home, building cutting-edge ML and AI products.

  • Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems
  • Work cross-functionally with commercial stakeholders to scope analytical solutions for business problems
  • Collaborate with engineering, infrastructure and ML platform teams to deploy scalable ML services
  • Build robust monitoring, alerting and edge-case handling mechanisms
  • Identify new opportunities and insights from data, including projected ROI of model improvements

  • 0–1 years of experience with a PhD, or 3+ years of industry experience with an MSc/BSc in STEM (engineering, computer science, economics, etc.)
  • Proficiency in Python or another high-level programming language
  • Strong theoretical understanding and hands-on expertise deploying ML solutions into production
  • Strong written and verbal communication skills with the ability to synthesize conclusions for non-experts
  • Intellectual curiosity and enthusiasm for continuous learning

  • Experience with the Python ML ecosystem (numpy, pandas, sklearn, XGBoost) and/or Apache Spark (Spark SQL, MLlib)
  • Familiarity with GCP (or AWS, Azure), ML frameworks, and orchestration tools (Airflow, Kubeflow, MLFlow)

  • Paid holidays and PTO
  • Full health benefits (medical, dental, vision, HSA/FSA), life insurance, disability protection
  • 401(k) matching, tuition reimbursement, tax-advantaged accounts
  • Family planning support, parental leave, surrogacy & adoption policy
  • Employee discount, mental health support, fitness discounts
  • Equal opportunity employer committed to reasonable accommodations

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