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Artificial Intelligence / Machine Learning Computer Scientist/Engineer role

US Remote

Non-CA Pay Range (Annual):

$100,800.00 - $187,200.00

At 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 for equity grants, discretionary bonuses, or commission 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.

“This position requires direct or indirect access to certain confidential information, hardware, software, technology, or technical information (referred to here as “Export-Controlled Information”) controlled under the U.S. International Traffic in Arms Regulations (ITAR) and/or the U.S. Export Administration Regulations (EAR). All personnel in this position must be eligible to or be able to obtain authorization from the appropriate agency to access applicable Export-Controlled Information. The U.S. Department of Commerce currently requires a foreign person with a most recent citizenship or permanent residency of Sudan, Ukraine, or a country currently designated in Country Group D:1, E:1 or E:2 (Supplement No. 1 to Part 740, Title 15) to have an export control license to access our Export-Controlled Information, unless they meet certain exemptions provided under U.S. export control laws and regulations. The list of applicable countries in Country Group D:1, E:1 or E:2 may be updated by the U.S. government from time to time. The current processing time for an export control license is approximately 4 to 6 months.

 

Your employment or engagement with Infinera shall be contingent on verifying your eligibility or requirement for obtaining a necessary license and/or authorization from the appropriate agency. You will be required to provide certain information for export control compliance assessment purposes, and your information will be reviewed by Infinera's hiring and export control teams to ensure compliance with the U.S. export control laws and regulations. Infinera will collect necessary documents (such as proof of citizenship etc.) to assess license/authorization requirements if you are offered and accept the position.”

Infinera is the global supplier of innovative networking solutions. Our customers include the leading service providers, data center operators, internet content providers (ICPs), cable operators, enterprises, and government agencies worldwide, including 9 of the top 10 Tier 1 service providers and 6 of the top 7 ICPs. We design, develop, and deliver hardware and software for fiber-based connectivity solutions that span access, aggregation, metro, long haul, and submarine networks. Our industry-leading, trendsetting edge-to-core solutions provide the foundation for many of the world’s largest and most demanding networks that generate billions in service revenue for our customers.

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 value-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 pseudo-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: TensorFlow, PyTorch, … and other frameworks
  • Data manipulating libraries: NumPy, pandas, SciPy, ….
  • 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 problem-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

#LI-SR2

Infinera is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Infinera complies with all applicable state and local laws governing nondiscrimination in employment.

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Job Profile

Regions

North America

Countries

United States

Restrictions

Access to Export-Controlled Information Certain citizenship restrictions

Benefits/Perks

401(k) Life and Disability insurance Medical, Dental and Vision coverage Paid leave

Tasks
  • Collaborate with various groups
  • Define, Architect, and lead/build AI/ML-based solutions
  • Develop solutions for large data sets
Skills

Algorithms Artificial Intelligence Data analysis Data Sets Machine Learning

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9