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4 часа назад

Software Engineer (AI/ML Infrastructure)

190 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Software Engineer (AI/ML Infrastructure): Designing and scaling core infrastructure for machine learning and self-hosted LLM applications with an accent on low-latency serving, distributed training, and high-throughput GPU inference. Focus on building dependable, production-grade systems that power critical marketplace features like recommendations, fraud detection, and seller tooling.

Location: Must live within commuting distance of New York, Seattle, Los Angeles, or San Francisco hubs.

Salary: $190,000 – $300,000 + Equity

Company

hirify.global is the largest livestream shopping platform in North America and Europe, enabling creators to build businesses through live commerce.

What you will do

  • Own the infrastructure powering AI and ML models across critical business surfaces including growth, recommendations, and trust and safety.
  • Prototype, deploy, and productionalize novel ML architectures that shape user experience and marketplace dynamics.
  • Design and scale inference infrastructure capable of serving large models with low latency and high throughput.
  • Build distributed training and inference pipelines leveraging GPUs and both model and data parallelism.
  • Collaborate with machine learning scientists to bring cutting-edge models into production.

Requirements

  • Must live within commuting distance of New York, Seattle, Los Angeles, or San Francisco hubs.
  • 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 such as PostgreSQL, DynamoDB, Elasticsearch, and Redis.
  • Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, and Flink.

Culture & Benefits

  • Flexible Time off Policy and company-wide holidays including spring and winter breaks.
  • Comprehensive health insurance options including medical, dental, and vision.
  • 401k offering with employer match up to 4% of base salary.
  • Home office setup allowance plus monthly stipends for cell phone and internet.
  • 16 weeks of paid parental leave with a gradual return-to-work program.
  • Monthly allowance to dogfood the app as both a buyer and seller.

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