Machine Learning Engineer PhD (Full Time) - United States jobs in United States
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Cisco · 1 day ago

Machine Learning Engineer PhD (Full Time) - United States

Cisco is a leader in innovative technology solutions, focusing on AI and machine learning advancements. They are looking for a Machine Learning Engineer to develop and implement generative AI applications, optimize neural networks, and collaborate with cross-functional teams to deliver impactful products.

Communications InfrastructureEnterprise SoftwareHardwareSoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models—think GPT-4, Claude, Llama, and beyond!
Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs)
Work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment
Experimentation with new technologies and ongoing learning are always encouraged
Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life

Qualification

PhD in AI/MLBackend developmentModel buildingLLM optimizationPython programmingInference enginesGPU architectureCloud native solutionsDistributed systemsAsynchronous programmingCybersecurity principlesCollaborationCreative problem-solving

Required

Recent graduate or in your final year of studies toward a PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field
3+ years of experience in backend development using Go or Python
Understanding of LLM infrastructure and optimization, validated by technical interview responses, project documentation, or relevant publications
Hands-on experience with model building and AI/LLM research, demonstrated through portfolio work, code samples, technical assessments, or documented academic or professional projects

Preferred

Experience working with inference engines (e.g., vLLM, Triton, TorchServe)
Knowledge of GPU architecture and optimization
Familiarity with agent frameworks
Exposure to cloud native solutions and platforms
Experience with cybersecurity principles and Python programming, including common AI libraries
Familiarity with distributed systems and asynchronous programming models

Benefits

Medical, dental and vision insurance
A 401(k) plan with a Cisco matching contribution
Paid parental leave
Short and long-term disability coverage
Basic life insurance
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
Paid year-end holiday shutdown
4 paid days off for personal wellness determined by Cisco
16 days of paid vacation time per full calendar year
80 hours of sick time off provided on hire date and each January 1st thereafter
Up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away may be requested to deal with critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer
Employees are also eligible to earn annual bonuses subject to Cisco’s policies

Company

Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products. It is a sub-organization of Cisco Press.

H1B Sponsorship

Cisco has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1238)
2024 (1231)
2023 (1273)
2022 (2127)
2021 (1991)
2020 (1173)

Funding

Current Stage
Public Company
Total Funding
unknown
1990-02-13IPO

Leadership Team

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Chuck Robbins
Chair and CEO
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Carl Solder
Chief Technology Officer - Cisco System Australia/New Zealand
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Company data provided by crunchbase