Artificial Intelligence / Machine Learning Computer Scientist/Engineer Role
col-wide
Job Description:
Non-CA Pay Range (Annual):
$100, 800. 00 - $187, 200. 00At Infinera, your base pay is one part of your total compensation package. Your actual base pay will depend on your skills, qualifications, experience, and location. This role may be eligible forequity grants, discretionary bonuses, orcommission payments. The amount of these incentives is based on the terms of the Company's incentive plans, the Company's financial performance, and/or individual employee job performance.
Infinera also offers paid leave, medical,
dental, and vision coverage, 401(k),
life, and disability insurance to
eligible employees.
(Supplement No. 1 to Part 740, Title 15)
Title: Artificial Intelligence / Machine Learning Computer Scientist/Engineer role
Location: Remote
The Candidate will work for the CTO organization and
Partner / collaborate with other groups, including:Engineering, PLM, Sales, Customers and Partners
Define, Architect, and lead/build the development of AI / ML-based solutions that will drive
- added features to our Enterprise, Service Provider, and hyperscale customers, including internal teams.
The focus will be on algorithms, models, and solutions for large data sets, enabling intelligent, automated applications and platform development.
Define solutions via
- code or proof of concept coding.
The Candidate will possess strong technical proficiency, soft skills, and Optical/networking/telecom domain knowledge, which is a plus.
Technical skills include and are not limited too:
Machine Learning Algorithms and Techniques: Supervised, Unsupervised, and reinforced learning algorithms
Deep Learning Architectures: CNNs, RNNs, GANs and transformers
Programming languages: Python, Java, Go, R, …
SW architecture development practices
Frameworks: Tensor
Flow, Py
Torch, … and other frameworks
Data manipulating libraries: Num
Py, pandas, Sci
Py, ….
Data analysis and visualization tools
Solid foundation in statistical and Mathematical analysis
Big Data Technologies: Hadoop, Spark, ….
Working with cloud platforms both from deploying and managing in public and private clouds as well as utilizing AI cloud services
Soft skills include:
Strong verbal and written communication skills
Team player willing to work across boundaries
Strong
- solving and analytical thinker
Outgoing and engaging with the customer
Listens, understands, adapts, and learns
Organized with some project management understanding
Domain Knowledge – Not required but could be viewed as a positive
Optical Transport for communications
Networking
Packet / Ethernet
Telecommunications networks
Data Center networks and architecture
Network Operations and Security
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