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1 день назад

Machine Learning Infrastructure Engineer

200 000 - 345 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Machine Learning Infrastructure Engineer (AI/ML): Design and scale the core infrastructure powering machine learning and self-hosted large language model applications with an accent on low-latency large model serving and distributed training & high-throughput GPU inference. Focus on building dependable, fast ML systems at consumer-scale loads and productionalizing novel ML architectures in collaboration with ML scientists.

Location: US based; must live within commuting distance of New York, Seattle, Los Angeles, or San Francisco hubs

Salary: $200K – $345K

Company

hirify.global is a livestream shopping platform enabling sellers to build businesses across many categories.

What you will do

  • Own AI/ML infrastructure for recommendations, trust & safety, fraud, and seller tooling across key business surfaces.
  • Prototype, deploy, and productionalize novel ML architectures that directly shape user experience and marketplace dynamics.
  • Design and scale inference infrastructure for large models with low latency and high throughput.
  • Build distributed training and inference pipelines using GPUs with model and data parallelism.
  • Collaborate with ML scientists to bring cutting-edge models into production and unlock new product experiences.

Requirements

  • Location: US based; live within commuting distance of New York, Seattle, Los Angeles, or San Francisco
  • 4+ years of professional experience developing machine learning systems and algorithms
  • 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads
  • 1+ years of professional experience developing software in Python
  • Experience with operational, search, and key-value databases (e.g., PostgreSQL, DynamoDB, Elasticsearch, Redis)
  • Familiarity with cloud and managed services (e.g., AWS SageMaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink)

Culture & Benefits

  • Flexible time off with company-wide holidays, including spring and winter break
  • Health insurance options (Medical, Dental, Vision)
  • Work from home support with home office setup allowance and monthly cell phone/internet allowance
  • Retirement benefits including US 401k (Traditional and Roth) with employer match up to 4% and international pension plans
  • Parental leave: 16 weeks paid parental leave plus gradual return to work

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