Lead the design, development, and deployment of high-impact machine learning models (e.g., predicted click-through rate, conversion rate, bidding optimization, and lookalike targeting) directly into our production environment.
Drive complex, ambiguous, and high-scale ML projects from initial research and proof-of-concept through to large-scale deployment, working closely with software engineering teams.
Design and execute rigorous online A/B experiments to test hypotheses, measure model performance, and statistically analyze results to drive continuous product improvement.
Perform hands-on analysis and modeling of enormous, complex data sets to identify predictive signals and develop new features that enhance targeting and sourcing efficacy.
Establish scalable, efficient, and automated processes for large-scale data analysis, machine learning model development, validation, and serving.
Stay abreast of the latest research in ML, deep learning, optimization, and Ad Tech, and apply new, innovative approaches to Branch’s unique challenges in ad delivery and optimization.
Communicate complex findings and product vision to engineers, product managers, and business stakeholders, influencing the roadmap for the Discovery platform.

Requirements

4+ years of professional experience building and deploying machine learning models for business applications.
PhD in Computer Science, Engineering, Machine Learning, Statistics, or a related quantitative field, OR a Master's degree in a related field and 4+ years of relevant experience.
Strong programming proficiency in one or more relevant languages (e.g., Python, Java, C++).
Deep expertise in foundational computer science areas, including algorithms and data structures, numerical optimization, data mining, and distributed computing (e.g., Spark, Hadoop).
Experience with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Scikit-learn).
Proven ability to translate business problems into mathematical and ML frameworks.

Benefits

Comprehensive benefits package
Health and wellness programs
Paid time off
Retirement planning options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningA/B testingdata analysismodel developmentstatistical analysisdata miningnumerical optimizationdistributed computingalgorithmsdata structures

Soft Skills

communicationinfluencingcollaborationproblem-solving

Certifications

PhD in Computer ScienceMaster's degree in a related field