Technical Lead Manager, ML Platform (AI)

TL;DR

Technical Lead Manager, ML Platform (AI/ML Infrastructure): Leading the development and scaling of core infrastructure for machine learning and self-hosted LLM applications with an accent on low-latency model serving, streaming feature ingestion, and distributed training. Focus on building systems that ensure dependable and fast ML at scale, including high-throughput GPU inference and real-time feature pipelines.

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

Salary: $255,000 – $345,000 per year + equity

Company

hirify.global is the largest livestream shopping platform in North America and Europe, enabling users to buy, sell, and discover items across hundreds of categories.

What you will do

• Own the infrastructure powering AI and ML models for growth, recommendations, trust and safety, and fraud detection.
• Design and scale inference infrastructure for large models with low latency and high throughput.
• Oversee real-time feature pipelines to ensure single-second feedback from behavioral signals and high training fidelity.
• Lead the development of distributed training and inference pipelines leveraging GPUs and data parallelism.
• Build abstractions, APIs, and developer tools to empower scientists to iterate faster on near-realtime features.
• Provide technical leadership, perform architectural reviews, and contribute to the codebase.

Requirements

• Must be based in the US and live within commuting distance of the NY, Seattle, LA, or SF hubs.
• 1+ years of experience as a Technical Lead Manager (TLM) developing production ML systems at consumer-scale.
• 5+ years of software engineering experience building production systems for high loads.
• Professional experience with Python.
• Experience with operational databases such as PostgreSQL, DynamoDB, Elasticsearch, and Redis.
• Proficiency with ML tools like MLFlow, LitServe, TorchServe, or Triton.

Nice to have

• Familiarity with AWS services: Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS.
• Experience with Apache Kafka and Flink.
• Knowledge of monitoring tools like DataDog and Grafana.

Culture & Benefits

• Comprehensive health insurance (Medical, Dental, Vision).
• 401k offering with employer match up to 4% for US employees.
• Home office setup allowance and monthly stipends for cell phone and internet.
• Generous holiday policy and 16 weeks of paid parental leave.
• Wellness and childcare annual allowances.
• Monthly budget to use the platform as a buyer and seller.