Sr Manager, Machine Learning Engineering

Key Skills

Aartificial intelligence, Apache Airflow, Apache Hive, Apache Kafka, AWS, Azure, Google Cloud Platform (GCP), Keras software library, Large Language Models - LLMs, Machine learning techniques, Python Programming, PyTorch, SPARK Programming, TensorFlow

Job Description

We are looking for a Senior Engineering Manager to help us build the next generation of AI infrastructure powering multiple Zillow products.

The position gives you opportunities to:

• Lead a team of talented engineers in building scalable infrastructure for end to end machine learning lifecycle, from experimentation to production jobs & services.

• Collaborate with platform teams (Data platform, Human in the loop platform, LLM platform) to establish a shared ecosystem of platforms for end users.

• Work closely with product partner and customer AI teams to understand requirements, prioritize feature requests, scope and deliver platform solutions.

• Collaborate with Principal engineers to design and implement solutions to achieve the technical vision.

• Use a variety of OSS technologies (Kubernetes, Argo, KNative, Spark, Kafka, Pytorch) in the development process.

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.

In California, Colorado, Connecticut, Hawaii, Nevada, New York and Washington the standard base pay range for this role is $205,600.00 - $328,400.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Nevada, New York and Washington and may not be applicable to other locations.

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.

Who you are

• A degree (BS+) in Computer Science or equivalent highly technical field. Masters in Computer Science preferred.

• 3+ years of management experience.

• 5+ years of software engineering experience, with Machine Learning products (preferred), data and or backend web services & infrastructure (K8s preferred).

• 2+ years of experience successfully building large-scale platform solutions for AI or data.

• Have vision and passion to make Machine Learning development easier for Scientists.

• Excellent interpersonal skills and a strong passion for collaboration across organizational boundaries.

• Passionate about supporting the growth and development of people’s careers.

• Experience with at least one cloud environment (AWS, Microsoft Azure or Google Cloud).

Bonuses:

• Experience developing or leading complex software systems scaling to millions of users with production quality deployment, monitoring and reliability.

• Experience with Machine Learning Frameworks (e.g. PyTorch, Keras, Tensorflow, XGBoost

• Experience with building low latency, high reliability Web Services (K8s, KNative services)

• Experience with modern data technologies (Spark, Hive, Kafka, Beam, Airflow)

• Proficiency in python

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. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.

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. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.

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. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.