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Senior Manager, Software Engineering - Personalization and ML Enablement

Job in Myrtle Point, Coos County, Oregon, 97458, USA
Listing for: Upstart
Full Time position
Listed on 2025-12-17
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below
Location: Myrtle Point

Why consider this job opportunity

  • Anticipated base salary up to $250,000
  • Target bonuses and equity compensation included in the total compensation package
  • Generous benefits package, including medical, dental, vision, and 401k
  • Opportunity to lead and shape a high‑caliber team in a rapidly evolving field
  • Work remotely from anywhere in the United States
  • Chance to make a significant impact on borrower experiences and responsible AI practices
What to Expect (Job Responsibilities)
  • Define and drive the multi‑year technical roadmap for personalization and selection systems
  • Build and scale a team of engineers and ML practitioners to deliver infrastructure and ML models
  • Launch ML‑powered personalization models to enhance borrower experiences
  • Lead the development of experimentation platforms to accelerate model iteration and feature evaluation
  • Collaborate cross‑functionally with Product, Data Science, and ML leadership to align on outcomes
What is Required (Qualifications)
  • 10+ years of software engineering experience, with at least 4 years in people management roles
  • Hands‑on experience with ML systems, personalization engines, or experimentation infrastructure
  • Deep technical understanding of machine learning fundamentals and data pipelines
  • Proven ability to hire and grow high‑performing ML and engineering talent
  • Strong strategic thinking with effective communication skills and cross‑functional leadership experience
How to Stand Out (Preferred Qualifications)
  • Experience with large‑scale ML serving systems or ranking/recommender systems
  • Familiarity with experimentation methodologies such as multi‑armed bandits
  • Experience working with MLOps, data engineering, and applied ML research teams
  • Awareness of ethical AI topics including fairness and explainability
  • Demonstrated success in deploying ML systems in production environments
Equal Opportunity Statement

We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position.

Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.

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Position Requirements
10+ Years work experience
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