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Machine Learning Engineer II at Pinterest (California Remote)
Develop deep-learning personalization for Pinterest’s Homefeed, Ads, Shopping, and Search. Improve retrieval, recommendation systems, and content understanding through machine learning and LLMs.
संयुक्त राज्य
कैलिफ़ोर्निया$2,15,250 – $2,85,982 / वर्ष
रिमोटपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीमशीन लर्निंग इंजीनियरविवरण
- Develop personalization technology using deep learning and machine learning advances
- Collaborate across Pinterest to test and enhance models for Homefeed, Ads, Growth, Shopping, and Search
- Apply data-driven techniques and Pinterest data to improve candidate retrieval
- Support rapid experimentation and high-impact product launches
- Track developments in recommendation systems
- Use large language models to strengthen content understanding
आवश्यकताएँ
- Master’s degree, or foreign equivalent, in Computer Science, Data Science, Business Analytics, Engineering, or a closely related quantitative field
- At least three years of experience in the offered role or a related occupation
- At least two years of experience with user modeling
- At least two years of experience in personalization
- At least two years of experience with recommender systems
- At least two years of experience in search and ranking
- At least two years of experience in natural language processing
- At least two years of experience in reinforcement learning
- At least two years of experience in graph representation learning
- At least two years of hands-on experience developing data processing pipelines
- At least two years of experience with Hadoop and Spark
- At least two years of experience in retrieval targeting
- At least two years of experience applying current deep learning and machine learning advances
- At least two years of experience improving machine learning models across product surfaces
- Any suitable combination of education, training, and experience is acceptable
- Applicants must be based in the United States
लाभ
- Eligibility for equity
- Option to work remotely full time
- Flexible work arrangements
- Equal opportunity and legally compliant employment consideration
- Support for medical or religious accommodations during the application process
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