Senior Machine Learning Architect

1 week ago

Bodega, California, United States Lily AI Full time

Unlock Your Potential as a Senior Machine Learning Architect at Lily AI

About Us:

Lily AI is a pioneering retail AI company founded by women, dedicated to empowering retailers and brands through innovative solutions. By bridging the gap between merchant-speak and customer-speak, our platform enhances shopping experiences, leveraging computer vision, natural language processing, machine learning, and large language models.

We're committed to delivering exceptional results, with our platform driving up to 9-figure revenue lifts through improved product attribution, enhanced discovery, increased traffic, and higher conversion.

About the Role:

As a Senior Machine Learning Architect, you'll design and develop scalable platforms and services that drive business impact while elevating technical excellence. You'll collaborate with machine learning scientists, engineers, and product managers to shape the ML roadmap, make key architectural decisions around MLOps, and contribute to our overall AI strategy.

Your Key Responsibilities Will Include:

  • Designing and maintaining scalable Machine Learning data pipelines, training infrastructure, and inference systems
  • Optimizing, benchmarking, and productionizing deep learning models to extract high-value product attributes for onsite search and Google Ads offerings
  • Driving cost efficiency and throughput improvements, owning relevant KPIs
  • Promoting software engineering best practices across the team
  • Shaping and evolving the technical stack to meet emerging business and technical needs
  • Transitioning research prototypes into robust, production-ready systems
  • Deploying, monitoring, and continuously improving models in production environments
  • Optimizing model performance, focusing on memory usage and latency
  • Automating workflows by building efficient pipelines and orchestration frameworks
  • Developing tools and shared libraries to boost team productivity and accelerate development

What We're Looking For:

  • 10+ years of experience in building large-scale machine learning solutions and ML Ops practices
  • Working with LLM APIs and serving LLLs in-house at scale

Key Skills and Qualifications:

  • Kubernetes, RDBMS, and API-driven development
  • Model serving in low-latency, high-throughput use cases
  • Observability, data pipeline design, service scaling, and cost optimization

Compensation and Benefits:

In the US, this position would pay between $140,000 - $220,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Our compensation policy prioritizes equity and ownership.

This role requires proficiency in Python and PyTorch, extensive experience with the scientific Python ecosystem, and cloud-native application development skills. If you have expertise in deep learning-based Computer Vision and NLP models, proficiency with tools for managing the ML lifecycle, and real-time serving and optimization tools for deep learning, we want to hear from you.

We're currently hiring from select locations in the US, Canada, and Latin America. Please note that candidates must be currently residing in these regions or open to relocating.

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