Principal Machine Learning Engineer (Remote US or US Autodesk Offices))
Company: Autodesk Inc.
Location: San Francisco
Posted on: June 12, 2021
Job Requisition ID #
With Autodesk software, you have the power to Make Anything. The
future of making is here, bringing with its radical changes in the
way things are designed, made, and used. Our software is used by
everyone - from design professionals, engineers and architects to
digital artists, students and hobbyists. We constantly explore new
ways to integrate all the dimensions of diversity across our
employees, customers, partners, and communities. Our ultimate goal
is to expand opportunities for anyone to imagine, design, and make
a better world.
AutoCAD is computer-aided design (CAD) software that architects,
engineers, and construction professionals rely on to create precise
2D and 3D drawings. This globally leading product is currently used
by millions to design objects from electrical panels to
construction floor plans. This team is at the center of a
company-wide transformation to build the next generation of
features that leverage Artificial Intelligence and Machine Learning
We are seeking an experienced engineer to join our AutoCAD
machine learning team that is focused on building a new suite of
features that help our customers work more efficiently and
effectively than ever before. We are looking for a passionate,
creative, collaborative and experienced person who can both mentor
and bring domain expertise to the team. As a technical leader, we
value your knowledge in applying appropriate machine learning, deep
learning, predictive modeling and optimization to prototype, build
and deploy solutions to new problem spaces.
- Research, design and building machine learning and deep
learning solutions to new problems.
Provide technical leadership to support the team in defining the
strategic direction and roadmap.
Mentor other engineers to scale our machine learning team in
terms of knowledge, technology and process.
Advocate and implement the best practices to ensure the team is
working effectively to deliver customer value while also constantly
learning to remain up to date in a rapidly changing domain.
- Collaborate effectively with product management, engineering,
design and other stakeholders to deliver products that have a
quantifiable impact on Autodesk's business.
Machine Learning Engineer, Remote US locations or US or Canada
- MS/Ph.D. in a related field (Data Science, Computer Science,
Statistics, or a quantitative-related field)
4+ years' experience in developing and shipping machine
learning, natural language processing or deep learning models.
Experience in Python
Experience in deep learning libraries, such as Pytorch and
Experience working with big data platforms (Hadoop, Spark, Hive)
and orchestration frameworks (Airflow) and analytic environments
Expertise with ML, DL and statistical modeling tools such as
Pytorch, Tensorflow, Pandas, SciKitLearn, pyspark (in IDEs like
PyCharm, RStudio, Jupyter, Databricks)
Strong communicator who can explain complex topics to both a
technical and non-technical audience
- Excellent communication skills, project management skills, and
technical management skills.
At Autodesk, we're building a diverse workplace and an inclusive
culture to give more people the chance to imagine, design, and make
a better world. Autodesk is proud to be an equal opportunity
employer and considers all qualified applicants for employment
without regard to race, color, religion, age, sex, sexual
orientation, gender, gender identity, national origin, disability,
veteran status or any other legally protected characteristic. We
also consider for employment all qualified applicants regardless of
criminal histories, consistent with applicable law.
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this
external site). If you have any questions or require support,
contact Autodesk Careers.
Keywords: Autodesk Inc., San Francisco , Principal Machine Learning Engineer (Remote US or US Autodesk Offices)), Other , San Francisco, California
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