Machine Learning Infrastructure Engineer
Company: Moveworks
Location: Mountain View
Posted on: June 20, 2022
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Job Description:
We are looking for a Machine Learning Infrastructure Engineer to
help build cutting edge ML infrastructure at Moveworks. This role
will be critical in building, optimizing and scaling end-to-end
machine learning systems. The ML infra team covers a variety of
responsibilities including distributed model training pipeline,
model evaluation and monitoring framework, model inference and ML
micro-services optimization, data annotation infrastructure, etc.
These frameworks serve as a strong foundation for our hundreds of
ML and NLP models in production serving hundreds of millions of
enterprise employees. We are solving many challenges on scalability
of services as well as optimization of core algorithms. In this
role you will work closely with our machine learning team, data
infrastructure team and every core skill. Above all, your work will
impact the way our customers experience AI. Put another way, this
role is absolutely critical to the long term scalability of our
core AI product and ultimately the company. If you are looking for
a high-impact, fast-moving role to take your work to the next
level, we should have a conversation. Who we are:Moveworks is
revolutionizing how companies support their employees - with the
first AI platform that makes getting help at work effortless. Using
advanced conversational AI built for the enterprise, Moveworks
gives employees exactly what they need, from IT support to HR help
to policy information. Our platform allows customers like
Snowflake, Slack, DocuSign, LinkedIn, Instacart, Illumina, Epic
Games, Hearst Media to move forward on what matters.Founded in
2016, Moveworks has raised $315 million in funding, at a valuation
of $2.1 billion. We've been named to the Forbes AI 50 list for
three consecutive years, while earning recognition as the Best
Chatbot Solution at the 2021 AI Breakthrough Awards. Above all,
we've built an AI company that puts people first, which is why
Built In named Moveworks the #1 Best Place to Work in the Bay
Area.What will you do? Design, build and optimize scalable machine
learning infrastructure to support our model development life
cycleDevelop and optimize core text processing algorithms for
performant natural language processingBuild abstractions to
automate various steps in different ML workflowsCollaborate with
cross functional teams of engineers, data analytics, machine
learning experts, and product to build new featuresLeverage your
experience to drive best practices in ML and data engineeringWhat
do you bring to the table? Experience with building end-to-end
machine learning systemsExperience building scalable micro services
and ETL pipelinesExperience with performant language such as C++ or
GoLangExperience with deep learning framework such as pytorch or
tensorflowBachelor's in Computer Science, Computer Engineering,
Mathematics, or equivalent field.A love of research publications in
the machine learning and software engineering communitiesEffective
communicator with experience collaborating cross-functionally with
other teams Nice to have:Experience with ML ops frameworks such as
kubeflow, ML flowExperience with GPU resource management for large
scale deep learning model training
Keywords: Moveworks, Mountain View , Machine Learning Infrastructure Engineer, Engineering , Mountain View, California
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here to apply!
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