12 дней назад
Machine Learning Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (AI/Machine Learning): Building and deploying machine learning models for core Snapchat products with an accent on data analysis, model training, evaluation, and production deployment. Focus on solving ambiguous real-world problems, launching ranking and recommendation features, and designing scalable services with production-ready quality.
Location: London; expected to work in an office 4+ days per week
Company
is a technology company operating chat and other digital products, with engineering teams building products used by hundreds of millions of people.
What you will do
- Build and deploy machine learning models for core chat products.
- Apply established machine learning techniques to well-defined real-world problems.
- Contribute to the full machine learning lifecycle, including data analysis, model training, evaluation, and production deployment.
- Collaborate with cross-functional partners and teammates to launch machine-learning-driven features.
- Use AI tools and high-velocity engineering workflows to design and ship scalable, secure, production-ready services.
Requirements
- Strong understanding of machine learning approaches and algorithms.
- Bachelor’s degree in computer science or a related technical field, or equivalent practical experience.
- 2+ years of post-bachelor’s machine learning experience, or a master’s degree in a relevant technical field.
- Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or related applications.
- Ability to solve ambiguous problems, prioritize work independently, and collaborate with internal and external partners.
- Strong collaboration and mentorship skills, with adaptability in learning evolving AI systems and tools.
Nice to have
- Advanced degree in computer science or a related field.
Culture & Benefits
- Default-together work approach with in-office collaboration 4+ days per week.
- Paid parental leave and comprehensive medical coverage.
- Emotional and mental health support programs.
- Compensation packages connected to ’s long-term success.
- Commitment to privacy, inclusion, and equal employment opportunity.
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