Cisco · 3 weeks ago
Machine Learning Engineer PhD (Full Time) - United States
San Francisco, California, US
Full-time
Hybrid
Entry, Mid Level
$165K/yr - $270K/yr
3+ years expCisco is a leading technology company revolutionizing data and infrastructure connectivity in the AI era. They are seeking a Machine Learning Engineer to develop and implement generative AI applications, optimizing neural networks for natural language processing and machine perception while collaborating with cross-functional teams.
Communications InfrastructureEnterprise SoftwareHardwareSoftware
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)
Collaboration is at the heart of this role—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
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
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, plus 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, accrued at rate of 4.92 hours per pay period for full-time employees
Flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
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
Annual bonuses subject to Cisco’s policies
Performance-based incentive pay on top of their base salary
Company
Cisco
Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products. It is a sub-organization of Cisco Press.
10001+ employees
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 CompanyTotal Funding
unknown1990-02-13IPO
Leadership Team
Chuck Robbins
Chair and CEO
Carl Solder
Chief Technology Officer - Cisco System Australia/New Zealand
Recent News
2026-01-12
2026-01-11
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