Manager - Machine Learning (f/m/x)

Berlin, DE

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Wayfair Inc.

Shop Wayfair for A Zillion Things Home across all styles and budgets. 5,000 brands of furniture, lighting, cookware, and more. Free Shipping on most items.

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Wayfair’s Customer Interaction and Operations Data Science team builds algorithmic systems that drive business impact for our backbone Operations organization. The team has a wide range of scope, for example developing scam and payment fraud detection algorithms that work reliably at scale; leveraging NLP models, like BERT, to extract actionable insights from large volumes of customer text feedback (e.g. reviews), building ML solutions to power the delivery time prediction. 

As the Machine Learning (Senior) Manager, you will lead the teams that deploy and maintain production models in real-time and offline, and have the overall responsibility to up-level our machine learning engineering capability - our goal is to significantly increase the delivery velocity you will be key to achieving this goal. 

In this position, you will have exposure to a broad range of machine learning projects that vary in maturity and are often built from the ground up. You will further develop & execute the strategy to empower our ML & data science teams to improve speed-to-production, impact and scalability. We expect you to drive these changes through a mix of: (1) leading sprint teams of machine learning engineers to directly drive and own operationalization (2) up-level existing data scientists’s engineering proficiency via tooling and education (3) working with Wayfair’s platforms & infrastructure teams to drive adoption of new technology in the machine learning space and more.

What You’ll Do:

  • Further develop & execute machine learning engineering strategy and roadmap 
  • Develop a world class and diverse team of machine learning engineers who partner with data science teams to operationalize dozens of machine learning models
  • Serve as a senior subject matter expert on machine learning technology
  • Increase the rate of delivery of the ML product through stronger engineering practices and best-in-class technology
  • Promote a culture of engineering excellence and strengthen the technical expertise of our engineering and data science teams
  • Partner with the platform and infrastructure teams and contribute to Wayfair’s overall ML Ops strategy

What You’ll Need:

  • A minimum of 4+ years of hands-on experience in software engineering and designing systems at scale
  • Track record of building engineering teams that can innovate rapidly and scale with the business, for this leadership role we are looking at at least 3+ years of leadership experience in complex operations.
  • Practical experience in hiring and developing engineering teams, as well as enabling an inclusive and diverse culture (in a fast-paced agile environment). 
  • Proven and successful experience orchestrating deployment of ML models, batch and real time
  • Hands on experience with technologies such as Airflow, Docker, Kubernetes, Hadoop, Spark, Kafka
  • Experience building services in a public cloud, including: distributed systems design, monitoring, deployment and 24/7 operations.
  • Familiarity with ML model development frameworks and pipelines
  • Great communication skills with demonstrated experience navigating a complex organization and generating buy-in for plans, and adoption of products and services. You will be a natural collaborator and communicator with the ability to influence partners and peers at different levels.

What We’ll Gladly Offer:

  • Highly competitive compensation packages (comprising Base Salary and  Equity). Full VISA sponsorship
  • Relocation support 
  • Full ownership of your wellbeing with our unlimited “Personal Time Off”,
  • Paid volunteering work,
  • Contribution to private pension,
  • Commuting schemes (car, bike, public transport),
  • Extensive internal training platform,
  • Free access to LinkedIn e-learning courses and programs,
  • Comprehensive financial scheme for Learning & Development opportunities and continuous education,
  • Access to free language courses,
  • Health & Sport memberships, 
  • Virtual child care,
  • Global Wellbeing Program,
  • Surrogacy and adoption reimbursement program, extended bereavement leave
  • Employee discount for Wayfair purchases,
  • Corporate benefits

 

About Wayfair Inc.

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 information.

Tags: Agile Airflow BERT Distributed Systems Docker Engineering Hadoop Kafka Kubernetes Machine Learning ML models NLP Pipelines Spark

Perks/benefits: Career development Competitive pay Equity Health care Relocation support Unlimited paid time off

Region: Europe
Country: Germany
Job stats:  13  5  0

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