Sr. Machine Learning Software Engineer

Vimeo, Ness Ziona, Israel

High-quality tools for hosting, sharing, and streaming videos

We are looking for a Sr. Software Engineer to help our Machine Learning (ML) efforts to scale.

The Machine Learning Research team at Vimeo is focused on unlocking opportunities for ML to make an impact, both to existing teams and products, as well as novel opportunities. We work with a wide selection of algorithms, to understand Users and Videos, based on various signals such as text, video and analytics.

In this role, you will be a key contributor in building our ML frameworks, Design our production architecture, and allow ML models to impact millions of video clips on a daily basis.

What you’ll do:

  • Design and build MLOps systems, including data pipelines and production-level machine learning (ML) infrastructure, using tools such as Kubeflow Pipelines, Apache Beam, Kubernetes, etc.  
  • Leverage your experience to drive best software development practices in ML systems.
  • Bring ML research from to production. Deploy ML models under the constraints of scalability, correctness, and maintainability, with hardware acceleration techniques. Optimize and give feedback to research-level models to bring them to production level. 
  • Collaborate with cross functional agile teams of machine learning engineers, video engineers, data engineers, and others, in building machine learning infrastructure that best supports the ML needs at Vimeo.

Skills and knowledge you should possess:

  • Passionate about Data science and Machine learning products. 
  • B.S. or M.S. degree in Computer Science or a related quantitative field.
  • Proficient in working with cloud platforms, dockers, and Kuberneetes.
  • Highly proficient in python, with ability to build APIs.
  • 4+ years of machine learning product development experience, using state-of-the-art tooling and have a deep understanding of the best practices for ML systems.
  • Experience in building high performance distributed systems at scale.
  • Skilled communication and a proven record of leading work across disciplines.

Bonus Points (Nice Skills to Have, but Not Needed): 

  • Experience in working with Video processing.
  • Familiarity with MLOps tools and experiment management platforms, KubeFlow, ClearML, etc.
  • Experience with Deep Learning Frameworks such as TensorFlow, Pytorch
  • Experience with data processing and storage frameworks like Google Cloud Dataflow, Hadoop, Scalding, Spark, Storm, Cassandra, Kafka, etc. 
  • Ability to architect data pipelines using tools like Apache Beam or Spark with experience in setting best practices for data.


About us:

Vimeo (NASDAQ: VMEO) is the world’s leading all-in-one video software solution. Our platform enables any professional, team, and organization to unlock the power of video to create, collaborate and communicate. We proudly serve our growing community of over 230 million users — from creatives to entrepreneurs to the world’s largest companies.

Vimeo is headquartered in New York City with offices around the world. At Vimeo, we believe our impact is greatest when our workforce of passionate, dedicated people, represents our diverse and global community. We’re proud to be an equal opportunity employer where diversity, equity and inclusion is championed in how we build our products, develop our leaders, and strengthen our culture.

Learn more at www.vimeo.com 
Learn more at www.vimeo.com/jobs

About Vimeo

Vimeo is the quality, open video platform for creative people around the world. Vimeo was founded in 2004 by filmmakers who wanted a fun, easy, uncluttered way to share their work and moments from their lives. We remain true to that mission by continually striving to help people with a wide range of passions share the things they create and care about. In everything we build for creators and their audiences, our goal is simple: make life worth watching. 

Want to learn more about Vimeo? Visit Vimeo's website.