McAfee · 13 hours ago
Senior Applied Scientist, Machine Learning
Frisco, TX
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expMcAfee, LLC 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 driving AI-powered solutions, leading the development and deployment of ML models, and collaborating with cross-functional teams to optimize consumer experiences and pricing strategies.
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
Drive the ML science strategy for pricing, recommendation systems, and personalized consumer experiences
Lead the research, implementation, and delivery of Applied AI/ML models using user behavior and subscription data
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 to amplify development productivity in data preparation, model tuning, and orchestration workflows
Stay at the forefront of ML science, contributing to the development of new algorithms and applications
Guide the team in applying reinforcement learning methods such as contextual bandits, SARSA, and Q-learning
Partner with Marketing, Product, Sales, and Engineering teams to ensure ML solutions align with strategic objectives
8+ years of expertise in Applied AI & ML
At least 3 years of technical leadership experience mentoring machine learning scientists
Proven track record in implementing AI/ML-based personalized messaging techniques
Proven track record in developing AI/ML-based dynamic pricing and personalized offer strategies
Proven track record in creating customer/consumer churn and propensity models for digital subscription use cases
Deep proficiency in classical ML and deep learning techniques (e.g., XGBoost, Random Forest, SVMs, deep neural networks)
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
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
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