Applied Data Scientist

Posted 6 Days Ago
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Paris, Île-de-France
Hybrid
3-5 Years Experience
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
We believe the camera presents the greatest opportunity to improve the way people live and communicate.
The Role
Seeking a Software Engineer with expertise in Embedded Systems and Signal Processing to collaborate in a research-focused environment and contribute to the development of cutting-edge Brain-Computer Interface technology for next-generation augmented reality products.
Summary Generated by Built In

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles .
Snap Inc. is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles . For more information, visit snap.com .
Snap Lab is home to our hardware products with a world-class research & development team. We are focused on pushing the boundaries of what a camera can be, specifically overlaying computing on the real world. Next Generation Spectacles are our first pair of glasses that bring augmented reality to life.
At Snap Lab in Paris, we develop Brain-Computer Interface (BCI) technology to revolutionize the way humans interact with AR.
We're looking for an Applied Data Scientist to help us shape the future of neural interfacing.
What you'll do:

  • Collaborate with other engineers and researchers to design, build, and test hardware prototypes and experiences
  • Collaborate with research, design, and engineering teams to develop Digital Signal Processing (DSP) algorithms for sensor systems
  • Work with the team to help design, setup, and run practical experiments related to the development of biosensors by providing signal characterization, representation and analysis tools


Knowledge, Skills, & Abilities:

  • Expertise in digital signal processing, characterization and representation
  • Proficient in Python programming with good knowledge of numerical libraries like numpy, scipy, or pandas
  • Ability to collaborate and work well with others


Minimum Qualifications:

  • Master's Degree in computer science, statistics, signal processing or related engineering discipline
  • Experience with signal processing single and multichannel time series sensor data in Python
  • Experience with rapid prototyping, data acquisition hardware, and signal processing chains
  • Demonstrated experience in signal conditioning, digital filtering, signal-to-noise ratio analysis


Preferred Qualifications:

  • Experience with one or more biometric sensing technologies such as ultrasound, electrophysiological monitoring, electroencephalogram (EEG), Electromyography (EMG), or Electrocardiogram (ECG)


If you have a disability or special need that requires accommodation, please don't be shy and provide us some information .
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Our Benefits : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

Top Skills

C
C++

What the Team is Saying

Xiaolin
Yvette
Matt
Jasmeet
Xueyin (Sherry)
Amir
Jung
Xu
The Company
HQ: Santa Monica, CA
5,000 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

Snap Inc. is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

Why Work With Us

Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

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About our Teams

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our “default together” approach is an 80/20 model where we are asking team members to spend 80% of the time, on average, in the office, with the remaining 20% of the time spent remote.

Typical time on-site: 4 days a week
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