Machine Learning Infrastructure Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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