About the role

Role overview

Senior Applied Scientist / Senior Machine Learning Engineer for Consumer Applied AI & Personalization. You will own Applied ML end to end—from experimentation and modeling through to production deployment and measurable business impact (revenue, engagement, and customer experience) across a large B2C digital subscription platform.

What you’ll be working on

Personalization & recommendation systems for digital customer journeys
Dynamic pricing and offer optimization models
Churn and propensity modeling for subscription products
Consumer journey optimization using experimentation frameworks
Applied deep learning and optimization techniques
Reinforcement learning and decision systems (nice to have)
Using GenAI tools to accelerate model development and experimentation

Requirements

6–8+ years building applied AI / machine learning in production systems
Strong experience in B2C / consumer tech / digital subscription products
Proven experience in at least one of:
- Personalization & recommendations
- Pricing optimization & offers
- Churn & propensity modeling
Strong Python and SQL, plus modern ML frameworks
Ability to work end to end from data → deployment → impact

Nice to have

Experience with reinforcement learning, optimization, or agentic systems

Compensation & benefits

Base salary up to $210,000 + 10% annual bonus
Medical/dental/vision, generous PTO, flexible hours
Paid parental leave and family-friendly policies
Retirement and long-term savings plans
Support for learning, development, and community involvement

Remote policy

Fully remote across the US

About Mirai Talent

Mirai Talent is partnering with a global consumer technology business building applied AI systems for large-scale digital subscription platforms. The work focuses on personalization and optimization across areas like pricing, churn, fraud prevention, and customer journey intelligence.

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