Senior Machine Learning Engineer - Decision Engine AI

Zillow Group Inc.; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Senior Machine Learning Engineer to join their innovative Decision Engine AI team. This role involves applying advanced machine learning techniques to streamline loan production processes and enhance customer experiences. You will collaborate with a talented team of scientists and engineers, focusing on delivering impactful AI solutions. If you have a passion for machine learning, a strong background in programming, and thrive in a fast-paced environment, this is a fantastic opportunity to contribute to cutting-edge AI applications that redefine the real estate experience.

Benefits

World-class benefits

Equity and Belonging initiatives

Innovative work environment

Qualifications

• Deep experience with applied machine learning and ML frameworks.
• Experience with cloud platforms and large scale datasets.

Responsibilities

• Lead efforts to deploy machine learning applications into production.
• Collaborate with teams to design and implement AI applications.

Skills

Python

PySpark

Machine Learning

Natural Language Processing

Cloud Computing (AWS)

ETL Pipelines

DataBricks

Spark

Prototyping

Software Design Patterns

Education

Bachelor's degree in Computer Science

Advanced degree in Computer Science or Engineering

Tools

PyTorch

Transformers

XGBoost

scikit-learn

Kubeflow

Job description

Senior Machine Learning Engineer - Decision Engine AI

About the team

At Zillow, our mission is to give people the power to unlock life’s next chapter. Zillow’s AI Org plays an important part in delivering unique AI-powered experiences for the hundreds of millions of customers who visit Zillow websites each month.

The Decision Engine AI team will be leading the efforts to streamline the loan production process, enable a fully digital financing experience, and provide consistent, unbiased, and personalized loan recommendations. It will make the home-buying process less daunting and more manageable while allowing Loan Officers to specialize differently, focusing more on emotional intelligence and less on mortgage-specific training.

As a Senior Machine Learning Engineer (MLE) on the Decision Engine AI team, you’ll be partnering with a highly skilled group of applied scientists, software developers, and machine learning engineers working together toward a bold and audacious goal.

About the role

We are seeking a collaborative, customer-focused, and product-minded engineer and scientist with deep experience with applied machine learning. You are a roll-up-the-sleeves and get-it-done engineer with a deep understanding of, and are constantly learning about, new techniques in modeling, ML frameworks, and ML infra. You excel at prototyping new ML applications and optimizing impact, performance, and efficiency in production.

• Apply a growth-mindset and first principles to ambiguous customer problems to rapidly iterate on novel solutions and ways of working.
• Collaborate closely with applied scientists, engineering, design and research to understand, scope, design, prototype, implement and iterate on internal and external facing systems supporting and implementing next generation AI applications.
• Lead efforts to deploy machine learning applications into production.
• Cultivate connections with other teams for critical dependencies and infrastructure.
• Contribute to carrying and growing our team culture of rapid innovation and creative frugality.

Who you are

• Proficiency with a high-level programming language (we most commonly use Python and PySpark)
• Strong understanding of Machine Learning and Natural Language Processing fundamentals
• Experience with Machine Learning tools and Frameworks (e.g. PyTorch, Transformers, XGBoost, scikit-learn, etc.)
• Hands-on experience with cloud computing platforms such as AWS
• Strong understanding of software design patterns, principles, architecture, and operations
• Comfortable in a small team/fast-paced environment
• Experience prototyping, developing, and implementing algorithmic solutions and new technologies with diverse analytics and data.
• Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, and DataBricks.
• Practiced technical ability and passion for both owning implementation and contributing technical/thought leadership for a team of world-class scientists engineers.
• Bachelor's degree or equivalent experience in Computer Science, or a related field.

Bonus Qualifications:

• Experience with generative AI or large language models and related technologies (knowledge retrieval solutions, for example).
• Experience with regulated, private or sensitive data, document understanding, bandit algorithms, or reinforcement learning.
• Experience collaborating with science, engineering, design, research and product partners in a team with a startup culture.
• Advanced degree (M.S. or Ph. D.) or equivalent experience in Computer Science or Engineering, Machine Learning, or related field.

Get to know us

Zillow is reimagining real estate to make home a reality for more and more people. As the most-visited real estate website in the United States, Zillow and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences.

Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.