ML Scientist II Advertising Optimization Automation Science
ML Scientist II Advertising Optimization Automation Science
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Job Description
Candidates for this position are preferred to be based in Bangalore India and will be expected to comply with their teams hybrid work schedule requirements.
Who We Are
Wayfairs Advertising business is rapidly expanding adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong positive ROI and are leveraging state of the art Machine Learning techniques.
The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows delivering impactful recommendations on budget allocation target Return on Ad Spend (tROAS) and SKU selection. Additionally we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions.
We are looking for an experienced Machine Learning Scientist II 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 stateoftheart in machine learning techniques to support recommendations for Ads campaigns and other optimizations.
- Design build deploy and refine extensible reusable largescale and realworld platforms that optimize our ads experience.
- Work crossfunctionally 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 bestpractices 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 opensource packages and incorporate them into our internal packages and systems.
- Be obsessed with the customer and maintain a customercentric lens in how we frame approach and ultimately solve every problem we work on.
We Are a Match Because You Have:
- Bachelors or Masters degree in Computer Science Mathematics Statistics or related field.
- 69 years of industry experience in advanced machine learning and statistical modeling including handson 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 highlevel programming language
- Solid handson expertise deploying machine learning solutions into production
- Strong written and verbal communication skills ability to synthesize conclusions for nonexperts 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.
About Wayfair Inc.
Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston or in our warehouses or offices throughout the world were reinventing the way people shop for their homes. Through our commitment to industryleading technology and creative problemsolving we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth constant learning and dynamic challenges then youll find that amazing career opportunities are knocking.
No matter who you are Wayfair is a place you can call home. Were a community of innovators risktakers and trailblazers who celebrate our differences and know that our unique perspectives make us stronger smarter and wellpositioned 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. Thats why were 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 genetic information or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice If you have any questions or wish to exercise your rights under applicable privacy and data protection laws please contact us at.
Employment Type
Full Time
