Bachelor's or master's degree in Computer Science or related field., At least 5 years of experience building large-scale data pipelines on AWS or GCP., Proficiency in Python or Java programming languages., Experience with ML frameworks like TensorFlow or PyTorch and deploying ML-powered features..
Key responsibilities:
Design and operate scalable data systems using tools like Spark, Kafka, and SQL.
Ensure data quality, performance, and reliability through testing and monitoring.
Fine-tune embeddings and ML models, including RAG and reinforcement learning pipelines.
Collaborate with cross-functional teams and mentor peers to shape ML platform strategy.
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Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages. Our awardwinning websites, cuttingedge marketing solutions, and AIpowered mobile platform empower real estate professionals to grow their business, operate more efficiently, and deliver exceptional service to their clients. Trusted by over 80,000 real estate professionals, including 31 of the nation’s 100 topperforming agents as published in the Wall Street Journal, Luxury Presence continues to set the standard for innovation and excellence in real estate technology.
About the Role
We’re seeking a Senior MLfocused Data Platform Engineer to strengthen our MLS data platform team. You will build robust data pipelines and deliver advanced ML solutions—embeddings, finetuning, retrievalaugmented generation (RAG), and reinforcement learning from user feedback. Your work powers property discovery, personalized recommendations, conversational agents, and the evaluation infrastructure that keeps them improving.
Who is the Data Squad?
We make sure clean, reliable MLS listing records and user clickstream data is always available to our products and customers. Our team—a mix of data engineers and software engineers—owns the entire listing pipeline: ingestion, transformation, and normalization across 400+ MLS feeds and other sources. We also extend the platform to capture useractivity data for new features and build AI agents that automate feed onboarding and listingissue triage, reducing manual effort for internal teams and clients and shortening the path from data to business impact.
Strategic Projects (Year 1)
Architect our foundational homeranking and recommendation platforms to incorporate advanced deeplearning and transformerbased models, dramatically accelerating experimentation across every user touchpoint
Autonomous MLS AI agents: Launch AI agents that reduce time to onboard new MLS listing feeds and triage resolve listing issues using structured and unstructured data.
What You’ll Do
Architect and operate scalable batch & streaming data systems (SparkEMR, Kafka, SQL).
Own data quality, performance, and reliability through automated testing and monitoring.
Design transactional and analytical data models and feature stores.
Finetune embeddings and ML models; deploy RAG‐ and RLbased ranking pipelines.
Integrate and optimize LLMs for conversational agents.
Evolve the evaluation stack (AB, offline metrics, model monitoring) to track impact endtoend.
Collaborate with product, engineering, and business stakeholders; mentor peers; shape the longterm ML dataplatform strategy.
Our Tech Stack
Python, Spark Streaming, Kafka, Iceberg, Fast API & NodeJS microservices
BSMS in Computer Science or related field, or equivalent experience.
5+ years building largescale data pipelines on AWS or GCP with SparkEMR, Kafka, and SQL.
Strong with a backend programming language like Python or Java; production experience with TensorFlow or PyTorch.
Delivered MLpowered features in recommendations, searchranking, or conversational AI.
Handson with embeddings, RAG, and reinforcement learning from feedback.
Familiar with vector databases, LLM deployment, KubernetesEKS, and modern CICD.
Excellent communicator who drives results across product, engineering, and business teams.
Preferred
Proven wins building largescale ranking or personalization platforms.
Experience with integrating Large Language Models in production systems.
Experience leading projects and mentoring engineers.
Proven success working in Agile environments.
Join us in shaping the future of real estate
The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastestgrowing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages.
We’re a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build gamechanging products that empower modern real estate entrepreneurs to dominate their markets. From awardwinning web design to agile SEO solutions to cuttingedge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition.
Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastestgrowing companies list three years in a row. We’re backed by worldclass investors, including Bessemer Venture Partners, Toba Capital, and Switch Ventures, and have raised $52.6 million to date.
More than 15,000 real estate businesses rely on our platform, including 31 of the RealTrends top 100 agents featured in The Wall Street Journal. Additionally, many of the industry’s most powerful brokerages — including Compass, Coldwell Banker, and Sotheby’s International Realty — rely on Luxury Presence as a trusted business partner.
Every year since 2020, Luxury Presence has ranked on BuiltIn’s Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we’ve received several Tech100 Awards, and our lead nurturing tool just scored an Inman Innovation Award for Best AIPowered Platform.
Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Required profile
Experience
Level of experience:Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.