Director, Machine Learning

CoStarSan Diego, CA
55d$258,000 - $348,000Hybrid

About The Position

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. Our team is responsible for the development of CoStar’s recommendation systems, personalization features, and user behavior analytics across our consumer marketplaces, including Homes.com, Apartments.com, and LoopNet. These systems help users discover relevant properties, understand market trends, and engage more deeply with our products. We are searching for a Director of Applied Machine Learning & Analytics to join our team and drive the full-lifecycle development of this critical platform. This position is in San Diego (UTC Area) and is in office Monday through Thursday with work from home on Friday.

Requirements

  • Bachelor’s Degree from an accredited, not-for-profit university or college.
  • 12+ years of experience in software engineering, machine learning, analytics, or data infrastructure, with at least 5 years in a leadership role.
  • Experience managing managers or leading multiple teams.
  • Track record of leading teams that ship reliable, scalable, and performant software.
  • Strong foundation in software engineering principles, with a focus on building and delivering production systems.
  • Proven ability to deliver scalable systems for high-traffic consumer-facing applications.
  • Expertise with cloud architectures, especially in AWS and Databricks.
  • Proven ability to collaborate across product and engineering to translate business goals into scalable, production-ready systems.
  • Demonstrated success in building and maintaining a collaborative, high-performance, and positive team culture.
  • A track record of commitment to prior employers.

Nice To Haves

  • Experience building recommendation systems or personalization features at scale.
  • Background in consumer marketplaces or other high-volume, user-facing platforms.
  • Strong software engineering foundation with a focus on production systems and delivery.
  • Experience with real-time data pipelines and performance-sensitive systems.
  • Experienced in coordinating cross-functional teams to deliver aligned product and engineering outcomes.
  • Experience identifying opportunities to apply AI to improve product features, decision-making, and internal workflows.

Responsibilities

  • Lead our team managers, ensuring their work drives measurable outcomes aligned with business goals.
  • Oversee development and execution of scalable data pipelines, APIs, and machine learning models that support performance, reliability, and user engagement at scale.
  • Set strategy for how we build and deliver recommendation systems, personalization, and analytics across high-traffic consumer marketplaces.
  • Work closely with product leadership to understand goals and translate them into technical plans the teams can execute.
  • Guide architectural decisions and ensure technical quality, without being hands-on in the code.
  • Track progress, remove blockers, and ensure teams are aligned and delivering on objectives.
  • Partner with technical leads across the organization to align on architecture, timelines, and execution plans.

Benefits

  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in person mental health counseling services for individuals and family
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
  • Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups
  • Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service