Posted on: December 22, 2021 | Job#: R22988

Principal Platform Architect - MLOps (REMOTE Opportunity)

Full time | Two Folsom, San Francisco, CA, US 94105


We’ll send you to our application portal to get started.

About Gap Inc.

Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials.     

This simple idea—that we all deserve to belong, and on our own terms—is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to  learn fast, create with audacity and lead boldly? Join our team.

About the Role

Gap Inc. is going through a digital transformation journey that will dictate how data is used for insights and decisions across our portfolio of brands. A key enabler to this is the research, development, and evangelization of modern designs, technologies, and processes – spanning cloud data platforms, federated data engineering, effective governance, and MLOps among others.

We are looking for an energetic and passionate Machine Learning Operations (MLOps) Platform Architect (Principal Architect) to help execute this transformation. This role will set the technical direction and guide the execution, adoption, and operations of the MLOps Platform across the enterprise. The platform will provide the foundational infrastructure and tooling to help accelerate AI development at scale, from ideation to production in a continuous iterative fashion. AI acceleration at scale requires not only a high-quality data science product but a platform to drive decisions through. A robust platform will bring together engineers and data scientists to co-create AI capabilities, reduce friction in the development process, decrease speed to market, democratize and supercharge our ability to deliver value through our platform investments.

** This is a remote opportunity **

What You'll Do

  • Be the technical expert of all things MLOps - through proven experience, continuous learning, and experimentation. 
  • Define: Work with a diverse group of data scientists, data engineers, product engineers and leaders to understand, influence and inform how we prep, train, package, deploy, scale, and monitor ML models and other data science artifacts. 
  • Design: Build and evangelize the technical strategy for the Gap MLOps platform, and the tactics to achieve and inform it. This will be in collaboration with Data Science and Technology leadership, and in support of business LRPs. 
  • Spike: Identify and organize technical capability gaps and opportunities. Scope and execute technology proof of concepts, prototypes and pilots with well-defined success and exit criteria. 
  • Execute: Own the design and quality attributes (non-functional requirements) of the MLOps platform components. Collaborate and guide execution, operations, and continuous improvements. 
  • Onboard: Provide key services and guidance to integrate with the model lifecycle processes of internal and external Data Science teams of varying maturity. 
  • Mentor: and guide engineers and leads - help understand tech stack and design rationale, quality attributes and tradeoffs, big picture through tactical steps, technical areas of strength and opportunities.  

Who You Are

  • 10+ years of experience with minimum 3 years on public cloud (preferably Azure) designing and building highly scalable, mission-critical distributed software systems 
  • 5+ years of architecture experience with demonstrated ability to drive architectural vision for a company or highly scalable line of products 
  • 3+ years of active MLOps execution experience, developing and supporting infrastructure to run advanced analytics and machine learning algorithms in production settings 
  • Ability to understand and clearly articulate trade-offs of various approaches to solving MLOps platform problems 
  • Proven expertise in model lifecycle stages and tools, CI/CD and advanced packaging, versioning and deployment strategies, containers and serverless architecture, online/offline feature stores, model performance monitoring 
  • Familiarity with advanced analytics in retail space, e.g., inventory and supply chain analytics, customer analytics, etc. 
  • Fluency in Python and demonstrable history of writing clean, clear code as part of a team 
  • Aware of general DevOps processes and ability to participate as needed 
  • Strong knowledge on distributed computing, ideally using modern technologies such as Spark, Databricks, MLFlow, etc. 
  • Hands-on, ability to dive into existing code and improve on it 
  • Strong communication skills including presentation and writing skills 
  • Passionate of doing detailed oriented work 
  • Ability to own and drive tasks, and can get them done 
  • Ability to work within a complex matrix organization structure 
  • Can help and coach junior engineers and architects 

Benefits at Gap Inc.

  • Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
  • One of the most competitive Paid Time Off plans in the industry.*
  • Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.*
  • Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.*
  • Employee stock purchase plan.*
  • Medical, dental, vision and life insurance.*
  • See more of the benefits we offer.

*For eligible employees

Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. This year, we’ve been named as one of the Best Places to Work by the Humans Rights Campaign for the fourteenth consecutive year and have been included in the 2019 Bloomberg Gender-Equality Index for the second year in a row.


We’ll send you to our application portal to get started.

Browse all jobs

Recently Viewed