McAfee · 4 hours ago
Senior Applied Scientist, Machine Learning
US, Texas, Frisco
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expMcAfee is a leader in personal security for consumers, and they are seeking a Senior Applied Scientist to join their Consumer ML team. This role involves leading the development and deployment of ML models to enhance personalized experiences and optimize pricing for global customers.
Consumer ElectronicsEnterprise SoftwareInformation TechnologyNetwork Security
Responsibilities
Drive the ML science strategy for pricing, recommendation systems, and personalized consumer experiences, to maximize McAfee’s customer value
Lead the research, implementation, and delivery of Applied AI/ML models using user behavior and subscription data to enhance personalization and product value
Lead algorithm development to optimize consumer journeys, increase conversion rates, and drive monetization strategies
Design and execute controlled experiments (A/B and multivariate tests) to validate and enhance model performance
Leverage GenAI tools—such as GitHub Copilot, Claude Code, and other AI coding assistants—to amplify development productivity in data preparation, model tuning, and orchestration workflows
Champion the integration of GenAI capabilities into the ML lifecycle to accelerate experimentation and reduce time-to-market
Stay at the forefront of ML science, contributing to the development of new algorithms and applications
Share knowledge through internal presentations, publications, and participation in academic or industry forums
Guide the team in applying reinforcement learning methods such as contextual bandits, SARSA, and Q-learning
Implement exploration-exploitation strategies, including epsilon-greedy, Thompson sampling, and Upper Confidence Bound (UCB) to optimize decision-making for pricing and recommendation engines
Partner with Marketing, Product, Sales, and Engineering teams to ensure ML solutions align with strategic objectives and deliver measurable business impact
Qualification
Required
8+ years of Applied ML experience
Proven expertise in personalization, pricing optimization, or churn/propensity modeling for digital subscriptions
Strong cross-functional collaboration skills to translate ML innovation into measurable business outcomes
8+ years of expertise in Applied AI & ML
At least 3 years of technical leadership experience mentoring machine learning scientists in technical capacities
Proven track record in at least one of the following: implementing AI/ML-based personalized messaging techniques to enhance consumer/customer product experiences; developing AI/ML-based dynamic pricing and personalized offer strategies for pricing optimization; or creating customer/consumer churn and propensity models specifically for digital subscription use cases
Deep proficiency in classical ML and deep learning techniques (e.g., XGBoost, Random Forest, SVMs, deep neural networks), autoencoders, representation learning, and deep recommender system techniques
Strong programming skills in Python, SQL, and ML frameworks
Proficient with ML libraries such as PyTorch and Scikit-learn
Strong background in feature engineering, model validation, and evaluation metrics
Solid understanding of the mathematical and statistical principles underpinning ML algorithms (linear algebra, calculus, probability)
Excellent communicator who can distill complex ML concepts for both technical and non-technical stakeholders
Collaborate effectively across cross-functional teams to align ML models with business goals
Preferred
Experience with reinforcement learning methods such as contextual bandits, SARSA, and Q-learning
Experience implementing exploration-exploitation strategies, including epsilon-greedy, Thompson sampling, and Upper Confidence Bound (UCB) to optimize decision-making for pricing and recommendation engines
Benefits
Bonus Program
Pension and Retirement Plans
Medical, Dental and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement
Company
McAfee
McAfee is an online security company that provides virus alerts and analysis on malware, network security threats, and web vulnerabilities.
1001-5000 employees
H1B Sponsorship
McAfee 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 (28)
2024 (24)
2023 (12)
2022 (26)
2021 (46)
2020 (84)
Funding
Current Stage
Public CompanyTotal Funding
unknown2022-03-01Private Equity
2022-03-01Debt Financing
2021-11-08Acquired
Leadership Team
Craig Boundy
Chief Executive Officer
Steve Grobman
Executive Vice President and Chief Technology Officer
Recent News
Canada NewsWire
2026-01-16
2025-11-25
Company data provided by crunchbase