Applied Scientist ML Solutions Lab
Detail de l'annonce :
* Progress towards or a completed PhD in Computer Science, or
related technical, machine learning, math, or scientific field
* Proven experience in building large scale machine learning or deep
learning models and/or systems in a production environment
* Experience in using Python, R or Matlab or other
statistical/machine learning software language
* Ability to travel ~40%
* Fluency in written and spoken French and English
Job summary
Machine Learning (ML) has been strategic to Amazon from the early
years. We are pioneers in areas such as recommendation engines,
product search, eCommerce fraud detection, and large-scale
optimization of fulfillment center operations.
The Amazon ML Solutions Lab team helps AWS customers accelerate the
use of machine learning to solve business and operational challenges
and promote innovation in their organization. We are looking for a
passionate, talented, and inventive Applied Scientists with a strong
ML background to help develop solutions by pushing the envelope in
Time Series, Automatic Speech Recognition (ASR), Natural Language
Understanding (NLU), Machine Learning (ML) and Computer Vision (CV).
As an ML Solutions Lab Applied Scientist, you will be working with
terabytes of text, images, and other types of data and develop novel
models to solve real-world problems. You'll design and run
experiments, research new algorithms, and find new ways of optimizing
risk, profitability, and customer experience. You will apply classical
ML algorithms and cutting-edge Deep Learning (DL) and reinforcement
learning approaches to areas such as drug discovery, customer
segmentation, fraud prevention, capacity planning, predictive
maintenance, pricing optimization, call center analytics, player pose
estimation, event detection, and virtual assistant among others.
Key job responsibilities
* Design, develop, and evaluate innovative ML/DL models to solve
diverse challenges and opportunities across industries
* Interact with customers directly to understand their business
problems, and help them with defining and implementing scalable ML/DL
solutions to solve them
* Work closely with account teams, research scientist teams, and
product engineering teams to drive model implementations and new
algorithms
* Keep up to date with the latest developments in Machine Learning
and apply these to address our customer’s business problems
* Travel up to 40% (pending COVID restrictions)
A day in the life
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to
furthering our culture of inclusion. We have ten employee-led affinity
groups, reaching 40,000 employees in over 190 chapters globally. We
have innovative benefit offerings, and host annual and ongoing
learning experiences, including our Conversations on Race and
Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how
many hours you spend at home or at work; it’s about the flow you
establish that brings energy to both parts of your life. We believe
striking the right balance between your personal and professional life
is critical to life-long happiness and fulfillment. We offer
flexibility in working hours and encourage you to find your own
balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix
of experience levels and tenures, and we’re building an environment
that celebrates knowledge sharing and mentorship. We Hire and Develop
the best so you can expect support in advancing your career ambitions
and projects which will help you grow and develop your skills.
About the team
This team will be comprised of Deep Learning Architects and Applied
Scientists to create cutting edge solutions for clients across EMEA,
and will require travel up to 40% of the time. We are currently
recruiting for talented individuals in the following cities: Paris,
London and Berlin. Discover more at
https://www.amazon.jobs/en/teams/amazonai.
* Hands on experience building models with deep learning frameworks
like MXNet, Tensorflow, Keras, Caffe, PyTorch, or similar
* Experience with machine learning, time series, NLP and CV
solutions
* Proven communication skills, presentation skills, and attention to
detail
* Scientific thinking and the ability to invent, a track record of
thought leadership and contributions that have advanced the field
Amazon is an equal opportunities employer. We believe passionately
that employing a diverse workforce is central to our success. We make
recruiting decisions based on your experience and skills. We value
your passion to discover, invent, simplify and build. Protecting your
privacy and the security of your data is a longstanding top priority
for Amazon. Please consult our Privacy Notice
(https://www.amazon.jobs/en/privacy_page) to know more about how we
collect, use and transfer the personal data of our candidates.