AI Engineer III
R1 RCM
AWSAzurePyTorchTensorflow
Machine Learning Engineer
Zillow
full-time
Posted on:
Location Type: Remote
Location: Remote • California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Nevada, New Jersey, New York, Rhode Island, Vermont, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $142,800 - $228,200 per year
Job Level
Junior
Tech Stack
AirflowJavaPythonPyTorchScikit-LearnSparkTensorflow
About the role
- Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications
- Help re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces
- Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring
- Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience
- Develop new AI components that optimize how we display and when we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right time
- Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmap
- Contribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared tooling
Requirements
- 1-3 years of experience in developing applications in search, personalized ranking, or recommender systems
- Experience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day)
- Strong programming skills in a high-level language such as Python or Java
- Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)
- Expertise with large scale distributed data processing systems such as Hive, Spark, Airflow, or Databricks
- Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring
- Preferred: A Master's degree + 2 yrs or BS with a minimum of 4 yrs of experience (preferably in large consumer tech companies)
- Preferred: Prior experience or high level of curiosity with generative AI and excitement to collaborate on what they’ve learned
- Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences
Benefits
- comprehensive medical, dental, vision, life, and disability coverages
- parental leave
- family benefits
- retirement contributions
- paid time off
- eligible for equity awards
- competitive base salary
- flexible work arrangements (Cloud HQ distributed-first model)
- world-class benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learninglarge language modelsPythonJavaPyTorchTensorFlowCatboostscikit-learnA/B testing
Soft skills
collaborationcommunicationproblem-solvingcuriosityengineering excellence
Certifications
Master's degreeBachelor's degree
