At , we have among the most comprehensive and accurate coverage of real estate listings and the most engaged users across all the online real estate portals.
Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone.
Building your career? Build it better at . Join us and help change the world of real estate, one home at a time.
Staff Machine Learning Engineer at (View all jobs) (
Location : Austin, TX
At , we process terabytes of data every day and transform that data into information that powers decisions for millions of home buyers, renters, dreamers, and real estate professionals.
Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone.
We seek an experienced Staff Machine Learning Engineer - MLOps Platform to join our Machine Learning team and help take it to the next level.
As a key member of the team, you will be responsible for the shared core infrastructure that serves as the foundation for our algorithms.
You will drive enhancements and maintenance of our Paved Path development process as well as play a role in optimizing and tuning model performance.
What you’ll do :
Design the data pipelines and engineering infrastructure to support our machine learning systems at scale and in near-real time
Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our machine learning systems
Build CI / CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
Apply software engineering rigor and best practices to machine learning, including CI / CD, automation, testing, etc.
Support model development, with an emphasis on audibility, versioning, and data security
Effectively partner with product and other engineering teams
How we work :
We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in person, adding richness to our culture and knitting us closer together.
What you'll bring :
PhD / MS in computer science, statistics, mathematics, operations research, or related fields and 4 years of relevant experience, or BS / MS degree and 7+ years of experience
Experienced in Python, R, Spark, or other languages and frameworks appropriate for large-scale analysis of structured and unstructured data.
Working experience with relational databases (SQL) and large-scale distributed systems.
Ability to design and implement cloud solutions (AWS preferred)
Experience building custom integrations between cloud-based systems using APIs
Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc.,
Experience developing with containers and Kubernetes in cloud computing environments
Strong understanding of software testing, benchmarking, and continuous integration
Exposure to machine learning methodology and best practices
Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
Do the best work of your life at
Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal : finding their way home.
And you’ll find your way home too. People are our foundation the core that drives us passionately forward. At , you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates.
In return we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
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.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.
EEO / AA / M / F / Disabled / Vets
Staff Machine Learning Scientist- Generative AI
The Staff ML Scientist will work with a team to conduct world-class research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business. PhD in...
UI / Full-Stack Engineer, AI Platform, Applied Machine Learning
Apple's Applied Machine Learning team is looking for a talented and enthusiastic Senior UI/Full-Stack Software Engineer to join the team building AI and ML models serving and applications deployment platform. You will own, drive, design, and implement the face of our platform and will be responsible...
Staff Machine Learning Scientist, Intern - PhD
Machine Learning/AI: Previous research experience with Deep Learning, NLP, LLM, Graph Neural Networks, Reinforcement Learning. The Research Intern will work with a team to conduct world-class research on data driven AI/ML initiatives and contribute to the long-term research agenda in large-scale dat...
Machine Learning Platform Engineer, Sr. Stafff - 47590BR
The ideal candidate will help build the enterprise Machine Learning platform. They will work with a team of enthusiastic and dynamic ML engineers and Data scientists in building a platform to help Synopsys R&D teams to experiment, train models, and build Gen AI & ML products. ...
Machine Learning Engineer (Austin)
Experience with distributed training techniques for machine learning models, leveraging deep learning frameworks such as TensorFlow, PyTorch, or JAX to accelerate model training and handle large datasets efficiently. With tech innovation an integral part of our core business, the booming city proved...
Staff Software Engineer - Machine Learning (MLOps)
The Data Science and Machine Learning guild is thriving to enable us to deploy Machine Learning algorithms with data from many different sources including our own platform, and user behavioral data, we learn our users’ journey and build a personalized experience that is unique to each user. We are h...
Machine Learning Engineer with Data Engineering
Machine Learning Engineer with a strong background in data engineering. Strong background in data engineering and data pipelines. ...
Software Engineer, Nsight Systems Machine Learning
Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable sophisticated, modern computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization,...
Senior AI / Machine Learning Engineer
Developing scalable ML solutions and creating large-scale data processing pipelines to help researchers build and train novel machine learning algorithms. Applying, integrating, and deploying Machine Learning capabilities and techniques into other systems. Experience integrating Machine Learning sol...
Staff Machine Learning Scientist, Intern - PhD
Machine Learning/AI: Previous research experience with Deep Learning, NLP, LLM, Graph Neural Networks, Reinforcement Learning. The Research Intern will work with a team to conduct world-class research on data driven AI/ML initiatives and contribute to the long-term research agenda in large-scale dat...