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About This Role
We are seeking a Sr AI Experience Engineer to build personalization and recommendation systems that make Vivint AI experiences more relevant to each household. This role will be responsible to:
- Design and build personalization, recommendation, ranking, retrieval, candidate-generation, and re-ranking systems.
- Develop household, user, device, event, and context representations using behavioral signals, embeddings, feedback, and product telemetry.
- Build feedback loops from searches, dismissals, saves, notification engagement, customer actions, and product usage.
- Partner with Agentic AI and AI Platform teams to connect short-term context, long-term memory, retrieval, and personalization.
- Design experiments with Product and Analytics, including A/B tests, holdouts, interleaving experiments, contextual bandits, multi-armed bandits, or causal measurement where appropriate.
- Deploy and monitor production recommendation systems with attention to latency, reliability, cost, privacy, and customer trust.
Required Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or
- Master’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering
- Experience with ranking, retrieval, recommendation, personalization, or learning-to-rank systems
- Strong Python, SQL, data engineering, and production ML skills
- Experience with embeddings, behavioral datasets, online/offline evaluation, and experimentation
- Experience deploying ML systems into production with CI/CD and monitoring
- Strong communication skills and ability to partner with product, analytics, design, and engineering teams
Preferred Qualifications:
- Experience with collaborative filtering, content-based recommendations, two-tower models, sequence models, or deep learning recommenders
- Experience with feature stores, vector retrieval, model serving, contextual bandits, or reinforcement learning
- Experience optimizing engagement, retention, click stream, notification relevance, customer satisfaction, or conversion metrics
- Experience with GenAI recommenders, RAG, AI memory, or agentic personalization
- Experience with smart home, IoT, security, energy, mobile, or device telemetry data
Working at Vivint:
Learn about the Vivint Culture and why it’s a great place to grow your career!
Here are some highlighted perks you should ask us about:
- Paid holidays and flexible paid time away
- Employee/Friends/Family Discounts
- Medical/dental/vision/life coverage & 24/7 Medical Hotline
- 401(k) + Employer Match
- Employee Resource Groups
The base salary range for this position is: $153K (min) - $185K (max)* *The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts.
NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.
EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)
Official description on file with Talent.
