Machine Learning Scientist III

Description :

We are looking for an experienced Machine Learning Scientist III to join the Advertising Optimization & Automation Science team.

In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business.

You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfairs revenue.

What Youll Do :

- Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations.

- Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience.

- Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions.

- Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services.

- Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?).

- Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.

- 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 Youll Need :

- Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or related field.

years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale.

- Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc.

- Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.

- Proficiency in Python or one other high-level programming language.

- Solid hands-on expertise deploying machine learning solutions into production.

- Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity.

Nice to have :

- Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks).

- Experience in computational advertising, bidding algorithms, or search ranking.

- Experience with deep learning frameworks like PyTorch, Tensorflow, etc.

Assistance For Individuals With Disabilities :

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities.

As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations.

If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.