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Wayfair is a technology leader, reinventing the way people shop for their homes

Staff Machine Learning Engineer

$95k – $135k AngelList Est.
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Wayfair.com is a leader in the e-commerce space for all things home. Our platforms support millions of people searching every day for the perfect item, and provides a unique purchase and delivery experience. Here at Wayfair, data drives everything that we do. Come help us continue to build innovative solutions, leading up to our next $10B in revenue!

We are looking for a Staff Machine Learning Platform Engineer to lead our engineering efforts in creating a sustainable platform for our Data Scientists. We’re looking for candidates who not only enjoy writing code and seeing their ideas come to fruition on a global scale, but are also able to upskill the engineers around them by leading by example. You will be leading the development of innovative Machine Learning first platforms to serve our near and long term strategic goals, as we transition into Google Cloud.

What You'll Do:

  • Architect and develop sustainable Machine Learning platforms to serve the needs of our Data Scientist community, who are delivering cutting edge intelligent solutions to help provide our customers with a home they love
  • Partner with product leaders to understand technical pain points for data scientists and other engineers and translate those into a clear and robust engineering solution
  • Be able to think outside the current technology/stack limitations to push the boundaries on what is possible and be able deliver a feasible solution collaboratively
  • Leverage your deep knowledge of distributed systems engineering to build Wayfair’s next generation Machine Learning capabilities
  • Advise engineering and product management on technical roadmap, ensuring that the vision aligns with broader company objectives
  • As a senior engineering leader, you will lead by example to help grow other engineers by mentoring and developing learning opportunities
  • Promote a culture of engineering excellence and strengthen the technical expertise of our engineering and product teams

What You'll Need:

  • 5+ years of experience in software engineering and designing systems at scale
  • 2+ years of experience with one or more Python, Scala, or R with emphasis on common ML platforms components, such as Tensorflow, PyTorch, or other Deep learning frameworks
  • Experience developing data pipelines, and orchestrating deployment of ML models, including experience with Kubernetes
  • Strong understanding of containerization (Docker, etc.), and associated software engineering best practices
  • Excellent communication skills with demonstrated experience driving teams forward and ability to influence technical decisions to line up with the company’s strategy
  • Hands-on experience driving software developments within high-growth environments at scale
  • Excellent organizational, analytical, and hypothesis- driven critical thinking skills to transform data into actionable insights
  • Bachelor's degree or equivalent practical experience

Nice to Have:

  • Mix of start-up and large-company experience
  • Familiarity with Machine Learning platforms offered by Google Cloud, AWS, or Azure, and how to implement them on a massive scale

About Us:

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic

Wayfair at a glance

Wayfair is a technology leader, reinventing the way people shop for their homes

Wayfair focuses on E-Commerce, Home & Garden, Home Decor, and Furniture. Their company has offices in Boston and Berlin. They have a large team that's between 501-1000 employees. To date, Wayfair has raised $358M of funding; their latest round was closed on October 2014 at a valuation of $2.4B.

You can view their website at http://www.wayfair.com/ or find them on Twitter, Facebook, and LinkedIn.

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