Tensorflow ML Engineer - US Remote
Company: Hugging Face
Location: San Jose
Posted on: August 6, 2022
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Job Description:
DescriptionHere at Hugging Face, we're on a journey to advance
good Machine Learning and make it more accessible. Along the way,
we contribute to the development of technology for the better.We
have built the fastest-growing, open-source, library of pre-trained
models in the world. With over 100M+ installs and 65K+ stars on
GitHub, over 10 thousand companies are using HF technology in
production, including leading AI organizations such as Google,
Elastic, Salesforce, Algolia, and Grammarly.About The RoleAs an ML
engineer specialized in Tensorflow model training, you will work
mainly with existing open-source libraries, such as Transformers
and Accelerate to boost the support for all the new advances in
model training and fine-tuning such as DeepSpeed, fairscale, and
all forms of model parallelism.You'll get to foster one of the most
active machine learning communities, helping users contribute to
and use the tools that you build. You'll interact with Researchers,
ML practitioners, and data scientists on a daily basis through
GitHub, our forums, or slack.About YouIf you love open source, are
passionate about making complex technology more accessible, have
experience building and training large models in Tensorflow, and
want to contribute to one of the fastest-growing ML libraries, then
we can't wait to see your application!If you're interested in
joining us, but don't tick every box above, we still encourage you
to apply! We're building a diverse team whose skills, experiences,
and backgrounds complement one another. We're happy to consider
where you might be able to make the biggest impact.More About
Hugging FaceWe are actively working to build a culture that values
diversity, equity, and inclusivity. We are intentionally building a
workplace where people feel respected and supported-regardless of
who you are or where you come from. We believe this is foundational
to building a great company and community. Hugging Face is an equal
opportunity employer and we do not discriminate on the basis of
race, religion, color, national origin, gender, sexual orientation,
age, marital status, veteran status, or disability status.We value
development. You will work with some of the smartest people in our
industry. We are an organization that has a bias for impact and is
always challenging ourselves to continuously grow. We provide all
employees with reimbursement for relevant conferences, training,
and education.We care about your well-being. We offer flexible
working hours and remote options. We offer health, dental, and
vision benefits for employees and their dependents. We also offer
12 weeks of parental leave (20 for birthing mothers) and unlimited
paid time off.We support our employees wherever they are. While we
have office spaces in NYC and Paris, we're very distributed and all
remote employees have the opportunity to visit our offices. If
needed, we'll also outfit your workstation to ensure you succeed.We
want our teammates to be shareholders. All employees have company
equity as part of their compensation package. If we succeed in
becoming a category-defining platform in machine learning and
artificial intelligence, everyone enjoys the upside.We support the
community. We believe major scientific advancements are the result
of collaboration across the field. Join a community supporting the
ML/AI community.
Keywords: Hugging Face, San Jose , Tensorflow ML Engineer - US Remote, Engineering , San Jose, California
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