8 дней назад
Senior Machine Learning Scientist - Recommendations (AI)
300 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Machine Learning Scientist - Recommendations (AI): Building and optimizing large-scale recommendation systems for personalized experiences across Wayfair’s site, app, email, and push notifications with an accent on applied research, production ML pipelines, and scalable model deployment. Focus on solving personalization, latency, interpretability, and scalability challenges through deep learning, reinforcement learning, experimentation, and A/B testing.
Location: Mountain View, California, United States; hybrid schedule with office attendance on Tuesday, Wednesday, and Thursday and remote work on the other two weekdays.
Salary: $300,000 annual base pay, excluding equity and other compensation.
Company
is an online home marketplace developing technology and digital shopping experiences for customers worldwide.
What you will do
- Develop and optimize recommendation models for personalized experiences across the website, app, email, and push notifications.
- Conduct applied research using traditional machine learning, deep learning, reinforcement learning, and contextual bandits.
- Build scalable pipelines for model training, evaluation, and inference.
- Deploy production models with attention to latency, interpretability, scalability, and operational constraints.
- Evaluate model performance through A/B tests, offline metrics, and business impact analysis.
- Collaborate with product managers, engineers, and data scientists while mentoring less experienced scientists.
Requirements
- 5+ years of experience with a PhD, 9+ years with an MS, or 10+ years with a BS in a quantitative STEM field.
- 3+ years of experience developing and deploying machine learning models for recommendations, ranking, personalization, or search.
- Strong knowledge of machine learning, deep learning, collaborative filtering, sequence modeling, representation learning, and multi-armed bandits.
- Proficiency in Python and experience with TensorFlow, PyTorch, or Scikit-Learn.
- Experience with Spark, Hadoop, Airflow, Kubeflow, MLflow, and scalable cloud-based ML systems.
- Ability to design experiments, analyze statistical results, and communicate complex ML concepts to non-technical stakeholders.
Nice to have
- Experience with recommendation systems for eCommerce, marketplaces, or streaming platforms.
- Experience with reinforcement learning or contextual bandits for adaptive recommendations.
Culture & Benefits
- Hybrid work environment with designated office days for Mountain View-based corporate employees.
- Paid holidays, paid time off, medical, dental, vision, HSA/FSA, life insurance, and disability protection.
- 401(k) matching, tuition reimbursement, tax-advantaged accounts, and financial education.
- Parental leave, family planning, surrogacy and adoption support, and caregiver services.
- Mental health support, wellbeing programs, employee discounts, professional recognition, and paid volunteer work.
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