3 дня назад
Staff Software Engineer, Machine Learning (Consumer Revenue)
272 000 - 340 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Machine Learning (Consumer Revenue) (Deep Learning/RecSys): Building ranking, targeting, and recommendation systems for Discord's Shop, Nitro, Server Subscriptions, and Gifting surfaces with an accent on applied deep learning, recommender architectures, and large-scale ML infrastructure. Focus on leading org-wide initiatives, building ML systems from 0→1, scaling distributed training and data pipelines, and translating experiments into product roadmaps.
Location: San Francisco Bay Area or remote within the United States; Bay Area employees may work from the San Francisco office.
US base salary: $272,000–$340,000 per year, plus equity and benefits.
Company
Discord is a multiplatform gaming and social platform that helps people connect around games and shared interests while enabling developers to build and grow their businesses.
What you will do
- Build ranking, targeting, and recommendation systems across Shop, Nitro, Server Subscriptions, and Gifting.
- Apply deep learning and recommender-system architectures such as two-tower, transformer-based, and multi-task learning models.
- Build ML systems from 0→1 and take them to production at scale in ambiguous, early-stage environments.
- Lead cross-functional technical initiatives across multiple product verticals and align stakeholders.
- Translate experiment results and business insights into product and technical roadmap decisions.
Requirements
- 8+ years of applied machine learning experience, including a Ph.D. or Master's degree in a relevant field.
- Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
- Experience building internal ML platforms and tooling adopted by multiple product teams.
- Deep expertise in distributed training with technologies such as PyTorch on GPU, Ray, or Anyscale.
- Experience with large-scale data processing pipelines using technologies such as Chronon, Spark, or Flink.
- Strong product intuition, communication, collaboration, and cross-functional technical leadership skills.
Nice to have
- Experience with personalized marketing systems, lifecycle targeting, audience segmentation, lookalike modeling, and campaign optimization.
Culture & Benefits
- Full-time employment with equity and benefits.
- Multiplatform, multigenerational, and multiplayer product environment focused on gaming and shared interests.
- Reasonable accommodations are available during the interview process.
Hiring process
- Reasonable accommodations can be requested during interviews by notifying the recruiter.
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