Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Engineer (AI): Designing and productionizing ML models for personalized navigation, search, and recommendations within a livestream shopping platform with an accent on intent and content signals. Focus on building end-to-end ML pipelines, scaling recommendation systems, and optimizing discovery ecosystems for buyers.
Location: Must live within commuting distance of New York, San Francisco, Los Angeles, or Seattle hubs
Salary: $245,000 – $345,000
Company
is the largest livestream shopping platform in North America and Europe enabling users to buy, sell, and discover items across hundreds of categories.
What you will do
- Lead the design and productionization of ML models for personalized navigational experiences, search, and recommendations.
- Manage end-to-end ML projects from scoping and data collection to training, deployment, and online experimentation.
- Support product initiatives for category and brand recommendations to promote high-quality livestreams.
- Collaborate with cross-functional partners to implement scalable ML solutions in production.
- Drive technical excellence and establish ML best practices across the organization.
Requirements
- 4+ years of generalist software development experience in high-growth startups.
- 4+ years of industry experience building and deploying ML models to solve user problems at scale.
- Practical experience in search, recommendations, content understanding, NLP, and LLMs.
- Proficiency in Python, SQL, and common ML frameworks.
- Must be based in the US and live within commuting distance of the specified hubs.
Culture & Benefits
- Flexible Time off Policy and company-wide spring and winter breaks.
- Comprehensive health insurance options (Medical, Dental, Vision).
- Home office setup allowance and monthly cell phone/internet stipends.
- Family planning benefits including adoption, fertility expenses, and childcare allowance.
- 401k offering with employer match up to 4% of base salary.
- Monthly budget for dogfooding the app to maintain deep product understanding.
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