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Sr Machine Learning Engineer, Search

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Fairygodboss
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

® is a leading real estate platform with over 25 years of industry experience. We’re looking for a Senior Machine Learning Engineer to help redefine how search works in real estate.

Three Reasons to Apply
  • Opportunity to transform real estate search using cutting‑edge ML techniques
  • Work on high‑impact projects serving millions of users daily
  • Collaborate across teams to shape innovative search‑driven experiences
Responsibilities
  • Transform Search with ML – Design, build, and optimize machine learning models that power our core search ranking and relevance systems, ensuring users find the most relevant listings effortlessly.
  • Enhance Personalization – Develop advanced recommendation algorithms to tailor search results based on user behavior, preferences, and intent.
  • Build Data Pipelines at Scale – Create and optimize ETL pipelines to process massive datasets, making real‑time search intelligence possible.
  • Leverage the Latest in AI – Apply state‑of‑the‑art techniques in NLP, deep learning, and reinforcement learning to enhance search relevance, query understanding, and ranking.
  • Deploy & Optimize in Production – Take ML models from experimentation to production using AWS, Docker, and scalable distributed systems.
  • Collaborate Across Teams – Work closely with engineering, product, and data science teams to define new search‑driven experiences and ensure seamless deployment of ML solutions.
Qualifications
  • Expertise in ML & Search – PhD/MS in computer science, statistics, mathematics, operations research or related fields and at least 2 years of relevant experience in data science, machine learning or applied statistics, with a strong background in information retrieval, search ranking, recommendation systems or related ML applications.
  • Extensive Technical Skills – Proficiency in Python, Spark, Tensor Flow/PyTorch, and SQL. Experience with large‑scale distributed systems is a plus.
  • Production ML Experience – Hands‑on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes or similar.
  • Strong Creative Thinking & Problem‑Solving Skills – Passion for tackling complex search and ranking challenges, improving user experience, and driving measurable impact.
  • Excellent Communication – Ability to articulate ML concepts to both technical and non‑technical stakeholders.
Benefits
  • Inclusive and competitive medical, Rx, dental, and vision coverage.
  • Family‑forming benefits.
  • 13 Paid Holidays.
  • Flexible Time Off.
  • 8 hours of paid Volunteer Time Off.
  • Immediate eligibility into Company 401(k) plan with 3.5% company match.
  • Tuition Reimbursement program for degreed and non‑degreed programs.
  • 1:1 personalized Financial Planning Sessions.
  • Student Debt Retirement Savings Match program.
  • Free snacks and refreshments in each office location.
EEO Statement

Diversity is important to us, therefore, ® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, ® will provide reasonable accommodations for otherwise qualified disabled individuals.

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