Penguin Random House · 8 hours ago
Machine Learning Scientist, Pricing/Personalization (Open to Remote)
New York, NY
Full-time
Onsite
Entry, Mid Level
$130K/yr - $175K/yr
2+ years expPenguin Random House is the world’s leading publishing house, seeking two Machine Learning Scientists to enhance their machine learning products for demand understanding and book pricing. The role involves building sophisticated models for recommendations and pricing, managing the ML lifecycle, and collaborating with engineering teams.
AudiobooksBooksE-CommerceEBooksPrintingPublishing
Responsibilities
Owns the ML lifecycle: Frames problems, prototypes solutions, validates performance, and iterates based on measurement and feedback
Applies sound statistical and ML practices for feature development, training, evaluation, validation, and maintenance
Defines success metrics and uses offline evaluation plus online experimentation (including A/B tests) to validate performance, monitor quality over time, and drive ongoing iteration
Partners with engineering and platform counterparts to productionize models, including repeatable training, deployment workflows, monitoring, and refresh strategies
Diagnoses model performance issues and data quality problems; communicates findings and recommended actions clearly to stakeholders
Writes maintainable, production-minded code and contributes to team standards (code review, documentation, reproducibility, and testing where appropriate)
Stays current on applied ML and uses modern AI tools to accelerate exploration, questioning, and implementation without sacrificing quality
Qualification
Required
Master's with 2+ years of applied work experience OR PhD in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or a related quantitative field
Strong proficiency in Python and common ML frameworks and libraries (for example PyTorch or TensorFlow)
Strong SQL skills and experience working with large datasets for feature development, analysis, and validation
Experience taking models from development to production (batch scoring, APIs, or downstream integration)
Solid understanding of experimentation and measurement
Be cutting edge. Use the latest AI tools to develop well-designed and robust software
Strong communication skills and ability to translate between business goals and technical solutions
Familiarity with cloud and modern data/ML tooling (AWS, Databricks, Docker, Kubernetes, Spark, or similar)
Exposure to MLOps concepts and tooling (model registries, pipelines, monitoring, reproducibility)
Preferred
Experience with time series forecasting, causal/market-response modeling, optimization, or risk-aware modeling
Familiarity with automated model retraining, monitoring, and long-running model maintenance
Experience with recommender systems, ranking/retrieval, personalization, segmentation, propensity modeling, or targeting
Familiarity with experimentation, measurement, and online evaluation
Benefits
Medical/Prescription drug insurance
Dental
Vision
Health Care/Dependent Care Flexible Spending Account
Health Savings Account
Pre-Tax and Roth 401(k)
Short and Long-Term Disability Insurance
Life/AD&D Insurance
Commuter Benefits
Student Loan Repayment Program
Educational Assistance
Generous paid time off
Company
Penguin Random House
Penguin Random House is a book publishing company that provides audiobooks, eBooks, and printing services.
10001+ employees
H1B Sponsorship
Penguin Random House has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (2)
2023 (2)
2022 (4)
2021 (2)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
Manuel Sansigre
Deputy Chief Financial Officer and EVP, Head of M&A
Brian Redler
SVP, Chief Information Security Officer
Company data provided by crunchbase