Approved Meta Remote Locations: Denver CO 110.92 New York NY 121.34 Houston TX 116.13 Los Angeles CA 110.92 Redmond/Seattle WA and San Diego CA 116.13.
Onsite Option: Burlingame CA 121.34
Data engineer II:
We are looking for a skilled and motivated machine learning research engineer to develop
models of human perception motor learning/skill acquisition and user state to help people learn
to use wrist-worn devices for gestural interactions. We are specifically looking for a candidate
with experience in both developing offline models and deploy them for real-time usage. The
candidate will work with a team of researchers at the intersection of machine learning
neuroscience and human computer interaction.
Job responsibilities:
Collaborate with research scientists and software engineers in the design and
implementation of user state modeling and adaptive experimentation frameworks for
both data analyses and real-time deployment in human-system interactions.
Engineer and improve Machine Learning systems and tools for enabling research.
Design methods tools and infrastructure to analyze and leverage rich multimodal data
sets.
Collaborate on research projects within a distributed team to advance the science and
technology of human/computer interaction
Required skills:
Bachelor's degree in computer science statistics data science computational
neuroscience neuroengineering biomedical engineering or equivalent experience.
2 years of experience with SciPy/NumPy and at least one deep learning framework
PyTorch Tensorflow JAX etc -- PyTorch preferred analyzing and modeling
quantitative data with Python.
1 years experience in a research/software/data engineering role with emphasis on
applied statistics and/or machine learning or equivalent academic experience.
1 years experience writing research software used by others including source control
unit testing and continuous integration systems. For example as part of an academic
collaboration an open-source project an industry job role or equivalent.
Understanding of basic concepts in statistics including but not limited to random
variable estimator expected value and variance
Preferred skills:
Graduate coursework and/or degree in one of the relevant domains listed above.
Experience with Gaussian processes.
Familiarity with other programming languages used in modeling or experimentation in
human-centric domains such as Matlab R C and/or C# Unity.
Familiar with logging framework and instrumentations.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.