- Craft and build scalable infrastructure for orchestrating end to end machine learning lifecycle from experimentation phase to production jobs & services.
- Work with a variety of technologies such as Kubernetes, KNative, Argo, Spark, Kafka, Tensorflow etc.
- Collaborate with Applied Scientists, Machine Learning Engineers and cross functional teams in crafting and implementing your technical vision.
- Work closely with our data infrastructure team to build the data systems and stores that power ML models.
- Collaborate with various teams (Product, Engineering) to scope and deliver platform solutions.
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. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Colorado, Connecticut, Hawaii, Nevada, New York and Washington the standard base pay range for this role is $131, $210,300.00 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. - A degree (BS+) in Computer Science or a related field. Masters in Computer Science preferred.
- 2+ years of experience with Machine Learning, data and/or backend web services & infrastructure.
- 1+ years of experience with platform solutions.
- Excellent interpersonal skills and passionate about collaborating across organizational boundaries.
- 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 working with cloud services (AWS/Azure/GCP)
- 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)
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Software Development Engineer - Remote, United States - ZINC Zillow, Inc.
1 week ago
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 end to end platform powering AI research and development at ZillowAs 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 etc. 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.
Learn more about what we are doing at and
About the role
We are looking for a Software Development Engineer to help us build the next generation of AI infrastructure powering multiple Zillow products.
The position gives you opportunities to:
Who you are
Basic qualifications:
Nice to haves:
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. 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 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 list.
