Research Scientist 6 – Ad Marketplace

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and execute machine learning and optimization algorithms aimed at enhancing ad quality and performance.

• Construct, train, and assess models using extensive production data.

• Create online and offline evaluation frameworks to meticulously evaluate the effects of enhancements made to models and algorithms.

• Collaborate closely with the product team to establish optimization goals, constraints, and trade-offs that align with product and business objectives.

• Articulate technical decisions, trade-offs, and experiment outcomes to both technical and non-technical stakeholders.

• Foster understanding and implementation of ML-driven solutions.

• Offer technical guidance and direction to the team.

⛳️ Requirements

• An advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or a related quantitative discipline.

• Expertise in Python, Scala, or Java.

• Comprehensive knowledge of machine learning, optimization, auction design, pricing, and data analysis methodologies.

• Proven experience in prototyping and deploying algorithms using large-scale production data.

• Strong business insight and ability to convey technical findings into business implications.

• Familiarity with ad optimization frameworks, including targeting, ranking, and bidding.

• Exceptional communication and collaboration abilities.

🏝️ Benefits

• Stock Option Program

• Health Plans

• Mental Health support

• 401(k) Retirement Plan with employer match

• Disability Programs

• Health Savings and Flexible Spending Accounts

• Family-forming benefits

• Life and Serious Injury Benefits

• Paid leave of absence programs

• Full-time hourly employees accrue 35 days annually for paid time off to be utilized for vacation, holidays, and sick leave

• Full-time salaried employees are immediately entitled to flexible time off