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Vimeo // platform for watching, uploading & sharing videos
Engineering, Full Time    New York City or US - Remote    Posted: Monday, May 30, 2022
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Are you ready for a new challenge? We are looking for a Software Engineer to help our Machine Learning efforts to scale!

The Machine Learning Research team at Vimeo is focused on providing novel tools to Video makers & viewers. Machine Learning is used to analyze & understand content, & to allow various video Navigation experiences to our users. The team works with a wide selection of algorithms, to understand Users & Videos, based on various signals such as text, video & analytics.

In this role, you will be a key contributor in building products based on ML for Vimeos customers, while working in a cross-functional team & closely collaborating with researchers & data scientists!

What youll do:

Design & build MLOps systems, including data pipelines & production-level machine learning (ML) infrastructure, using tools such as Kubeflow Pipelines, Kubernetes, Apache Beam, etc. 

Bring ML research to production. Deploy ML models under the constraints of scalability, correctness, & maintainability, with hardware acceleration techniques. Optimize & give feedback to research-level models to bring them to production level. 

Use your experience & knowledge to drive software development practices in ML systems.

Collaborate with other agile teams of machine learning engineers, video engineers, data engineers, & others, in building machine learning infrastructure that best supports the ML needs at Vimeo.

Skills & knowledge you should possess:

Passionate about Data science & Machine learning products. 

B.Sc. or M.Sc. degree in Computer Science or a related quantitative field.

Proficient with cloud platforms, dockers, & Kubernetes.

Highly proficient in python, with ability to build APIs.

2+ years of machine learning product development experience, using state-of-the-art tooling & have a deep understanding of the best practices for ML systems.

Experience in building high performance distributed ML systems at scale, using MLOps tools.

Skilled communication & a proven record of leading work across disciplines.

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

Experience in working with Video processing.

Experience with data processing & 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.

Vimeo (NASDAQ: VMEO) is the worlds leading all-in-one video software solution. Our platform enables any professional, team, & organization to unlock the power of video to create, collaborate & communicate. We proudly serve our growing community of over 260 million users from creatives to entrepreneurs to the worlds 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 & global community. Were proud to be an equal opportunity employer where diversity, equity, & inclusion is championed in how we build our products, develop our leaders, & strengthen our culture.

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