Staff Machine Learning Engineer - Python/Tensorflow (14-20 yrs)

We are looking for an experienced machine-learning enthusiast to lead the research and development of the ML systems that power our real-time Search type-ahead, content recommendations, and algorithmic customer understanding experience teams.

In this role, you are accountable for building the next generation of Wayfair's ML stack for one of these teams. You will collaborate closely with the engineering, analytics, and product leads within our SMART team to define the technical vision and work with your leadership to build the organization and team required to execute on it.

This role is a cornerstone of the Search, Marketing, and Recommendations Technology (SMART) organization, with broad visibility and close communication with leaders across the business up to Executive level.

What You'll Do :

- Lead the development of cutting-edge machine learning algorithms inthe organisations predictive search/type-ahead, content recommendations, or algorithmic customer understanding teams.

- Continually improve teams' ability to build efficient machine learning models by leveraging industry best practices and set high standards for craftsmanship of the entire team.

- Mentor a team of machine learning engineers, continuously upskill them while modeling a culture of continuous research and innovation.

- Collaborate closely with the product and engineering leaders in our SMART technologies group to build a next-generation search and recommendations stack and the organization required to maintain and innovate on it

- Contribute as a senior leader beyond the SMART group, in particular within Wayfair's broader ML community

- Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on.

What You'll Need :

- Bachelor's or Master's degree in Computer Science, Mathematics, Statics or a related field.

- 10+ years of experience in building large scale machine learning algorithms

- 4+ years in an architect or technical leadership position

- Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques.

- Proficiency in programming languages such as Python or R and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade quality product

- Ability to partner cross-functionally to own and shape technical roadmaps

- Intellectual curiosity and a desire to always be learning!