Extend

Manager, Machine Learning

Extend • $180K — $210K *
US-AnywhereRemote in United States
Technical Services
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 6+ years of experience in building and deploying ML systems
  • 2+ years managing and mentoring ML teams
  • Strong Python and SQL skills
  • Deep understanding of ML fundamentals such as model selection and evaluation
  • Hands-on experience with frameworks like PyTorch and XGBoost
  • Strong leadership abilities for developing ML talent
  • Excellent stakeholder management skills

Responsibilities

  • Own the full model lifecycle from requirements to monitoring
  • Translate business problems into ML solutions and define success metrics
  • Design and maintain feature engineering pipelines
  • Drive experiment design and ensure methodological rigor
  • Monitor model performance and manage retraining strategies
  • Cultivate a culture of learning and collaboration within teams
  • Conduct design and code reviews to elevate technical standards
  • Mentor and coach data scientists for skill development

Benefits

  • Collaborative and supportive team environment
  • Comprehensive medical, dental, and vision benefits
  • Equity options in a rapidly growing startup
  • Flexible paid time off policy
  • 401(k) plan with financial guidance from Morgan Stanley
Full Job Description
About the Role:

You will lead a team of ML data scientists on the Fraud and ML team, owning the development and quality of Extend's machine learning models across fraud detection, risk assessment, and identity resolution. You'll guide your team through the full data science lifecycle, from requirements and experimentation through model development, evaluation, and monitoring. You'll partner closely with Product and Engineering on integrating ML models into our product and with our Fraud Intelligence team to continuously improve our fraud detection capabilities.
What You'll Be Doing:
  • Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure
  • Translate business problems into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches
  • Design and maintain feature engineering pipelines for model development
  • Drive experiment design and statistical rigor: ensuring models are evaluated with sound methodology before and after launch
  • Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain
  • Cultivate a culture of learning and collaboration within and across partner teams
  • Perform design and code reviews to raise the technical excellence bar
  • Hire, mentor, and coach data scientists
What We're Looking For:

Required:
  • 6+ years of work experience building and deploying machine learning systems into production
  • 2+ years experience mentoring and managing ML teams
  • Strong proficiency in Python and SQL
  • Strong understanding of ML fundamentals: model selection, evaluation methodology, feature engineering, and common failure modes
  • Hands-on experience with PyTorch, scikit-learn, and XGBoost (or similar gradient boosting frameworks)
  • Strong people leadership skills with the ability to develop ML talent
  • Excellent stakeholder management, with a track record of working cross-functionally to deliver results
  • Empathy and humility

Preferred:
  • Experience building fraud detection or risk assessment systems
  • Experience with cloud ML platforms, particularly AWS (e.g., SageMaker)
  • Experience with graph data and graph-based models (e.g., PyTorch Geometric)
  • Experience with model monitoring and observability tooling (e.g., Arize)

Estimated Pay Range: $180,000-$210,000 per year salaried*

Life at Extend:
  • Working with a great team from diverse backgrounds in a collaborative and supportive environment.
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.

About Extend

Extended Stay America, Inc., headquartered in Charlotte, North Carolina, is the operator of an economy apartment hotel chain in the United States and Canada. As of December 31, 2019, the company owned and operated 557 hotel properties consisting of approximately 61,900 rooms and franchised or managed 73 hotel properties consisting of approximately 7,500 rooms. Prior to June 2021, when the company was acquired by Blackstone Real Estate and the Starwood Capital Group, it was publicly traded as a "paired share" with ESH Hospitality, Inc., a real estate investment trust and the owner of the hotels. As of 2022, there are 650+ Extended Stay America branded hotels. Extended Stay America was founded on January 9, 1995 in Fort Lauderdale, Florida by George D. Johnson, Jr. and Wayne Huizenga, both former executives from Viacom and its subsidiary Blockbuster LLC. The first two Extended Stay America hotels opened in August 1995 in Spartanburg, South Carolina and Marietta, Georgia. The company became a public company via an initial public offering on December 14, 1995. Extended Stay America acquired the extended-stay hotel chain StudioPLUS on April 11, 1997. The company also developed the Crossland Economy Studios brand as a budget extended-stay hotel brand. The 47 unit Crossland brand was sold to Westmont Hospitality Group for $285 Million in December, 2015.
Learn more about Extend
Industry
Information Technology
Founded
2017
* Ladders Estimates

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