Senior Software Development Engineer, Databricks and AI Platform

TieTalent; El Centro (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company that is redefining real estate through innovative AI solutions. As a Senior Software Development Engineer, you will play a pivotal role in developing the next generation of AI infrastructure that powers various products. You'll collaborate with talented professionals to create scalable systems that enhance the machine learning lifecycle, ensuring seamless integration and deployment. This role offers an exciting opportunity to contribute to impactful projects that help millions of people find their homes. If you're passionate about technology and eager to make a difference, this is the perfect opportunity for you!

Benefits

Flexible Work Hours

Health Insurance

Retirement Plans

Professional Development Opportunities

Remote Work Options

Qualifications

• 4+ years of experience in Machine Learning and backend web services.
• Experience with cloud services like AWS, Azure, or GCP.

Responsibilities

• Build scalable infrastructure for the machine learning lifecycle.
• Collaborate with teams to deliver platform solutions.

Skills

Machine Learning

Cloud Services

Backend Web Services

Collaboration

Interpersonal Skills

Education

Bachelor's Degree in Computer Science

Master's Degree in Computer Science

Tools

Kubernetes

TensorFlow

Spark

Kafka

Databricks

Job description

About the team
AI products at Zillow help millions of people find the best home for them with less stress and more visibility. Zillow scientists develop a variety of ML models (natural language understanding, computer vision, recommendation systems) that enables our customers to find and move to their next home. Join the team that develops an end-to-end platform powering AI research and development at Zillow!
As a member of the AI Platform team, you will help define Zillow’s approach to Artificial Intelligence research & Products, powering products like home value estimation, economic research, personalized recommendations, and semantic search. You will work on building powerful ML infrastructure enabling containerized services, performing distributed computations at scale, empowering continuous research & deployments of ML models, evaluations, and monitoring.

About the role

We are looking for a Senior Software Development Engineer to help us build the next generation of AI infrastructure powering multiple Zillow products.
The position gives you opportunities to:

1. Craft and build scalable infrastructure for orchestrating the end-to-end machine learning lifecycle from experimentation phase to production jobs & services.
2. Work with a variety of technologies such as Kubernetes, KNative, Argo, Spark, Kafka, Tensorflow.
3. Collaborate with Applied Scientists, Machine Learning Engineers, and cross-functional teams in crafting and implementing your technical vision.
4. Work closely with our data infrastructure team to build the data systems and stores that power ML models.
5. Collaborate with various teams (Product, Engineering) to scope and deliver platform solutions.

Who you are

Basic Qualifications:
A degree (BS+) in Computer Science or a related field. Masters in Computer Science preferred.
4+ years of experience with Machine Learning, data and/or backend web services & infrastructure.
1+ years of experience with platform solutions.
Experience working with cloud services (AWS/Azure/GCP).
Excellent interpersonal skills and passionate about collaborating across organizational boundaries.

Nice to haves:
Have vision and passion to make Machine Learning development easier for ML Practitioners.
Experience developing sophisticated software systems scaling to millions of users with production quality deployment, monitoring, and reliability.
Experience with Databricks (for data and/or ML use cases).
Experience with building low latency, high reliability Web Services (K8s, KNative services).
Experience with Machine Learning Frameworks (e.g. PyTorch, Keras, Tensorflow, XGBoost).
Experience with modern data technologies (Spark, Hive, Kafka, Beam, Airflow).

Transferable Skills

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.

Get to know us

Zillow is reimagining real estate to make it easier to unlock life’s next chapter. 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 is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, and a fundamental commitment to Equity and Belonging. 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 in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, 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, and gender identity. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.