Sr Machine Learning Scientist - (Open to remote) @ Penguin Random House | Jobright.ai
JOBSarrow
RecommendedLiked
0
Applied
0
External
0
Sr Machine Learning Scientist - (Open to remote) jobs in New York, NY
186 applicants
company-logo

Penguin Random House · 2 days ago

Sr Machine Learning Scientist - (Open to remote)

ftfMaximize your interview chances
Book Publishing
check
H1B Sponsor Likelynote

Insider Connection @Penguin Random House

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Lead and own the design, development, and deployment of end-to-end machine learning projects for large-scale recommender systems and personalization products.
Develop models that power real-time online marketing tools, including customer segmentation, ad targeting, and user engagement prediction.
Design and run A/B tests to validate model performance, iterating based on experiment results and user feedback.
Collaborate with cross-functional teams including engineering, marketing, and product to integrate ML solutions into business products.
Stay up to date with industry trends and advancements in recommender systems, personalization, and AI-driven marketing technologies.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningRecommender SystemsPythonTensorFlowPyTorchAWSKubernetesDatabricksDockerSQLA/B TestingMLOpsStatisticsMathematicsComputer ScienceOperations Research

Required

5+ years of professional experience in machine learning, with a strong focus on recommender systems, personalization, and online marketing audience targeting models.
Expertise in Python and key ML libraries (e.g., TensorFlow/PyTorch, NVTabular, Triton).
Experience with cloud-based services (e.g., AWS, Kubernetes, Databricks), containerization (Docker), and deploying ML models at scale.
Strong knowledge of SQL for querying and managing large datasets.
Ability to communicate technical concepts and results effectively to non-technical stakeholders.

Preferred

Master’s or PhD in a quantitative discipline like Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience.
Proven track record of building, deploying, and optimizing large-scale machine learning models in production environments.
Experience in A/B testing, experimentation platforms, and online learning.
Familiarity with MLOps tools and practices for managing the lifecycle of machine learning models in production.

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

company-logo
Our mission is to ignite a universal passion for reading by creating books for everyone.

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
2023 (2)
2022 (4)
2021 (2)
2020 (1)

Funding

Current Stage
Late Stage

Leadership Team

leader-logo
Manuel Sansigre
Deputy Chief Financial Officer and EVP, Head of M&A
linkedin
leader-logo
Brian Redler
SVP, Chief Information Security Officer
linkedin
Company data provided by crunchbase
logo

Orion

Your AI Copilot