Machine Learning Engineer II (Intern)

Machine Learning Engineer II (Intern) - United States @ Cisco | Jobright.ai

Machine Learning Engineer II (Intern) - United States jobs in United States

Overview

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Cisco · 4 days ago

Machine Learning Engineer II (Intern) - United States

United States

Internship

Remote

Intern

$44K/yr - $130K/yr

0+ years exp

Cisco develops technology solutions that connect and protect organizations across physical and digital environments. The Machine Learning Engineer II Intern will develop and implement generative AI applications, optimize neural networks and large language models, and support model training and deployment. The role also involves data preparation, custom layer design, deployment automation, testing, and collaboration with engineering and cross-functional teams.

Artificial Intelligence (AI)Telecom & CommunicationsEnterprise SoftwareInformation TechnologyInternet of ThingsHardwareCyber SecuritySoftwareAI InfrastructureCommunications InfrastructureInfrastructureNetwork HardwareNetwork SecurityOptical Communication

Growth Opportunities

H1B Sponsor Likely

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)

Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment

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

GoPythonLarge Language Models (LLMs)LLM Infrastructure OptimizationModel BuildingAI/LLM ApplicationsVLLMTritonTorchServeGPU ArchitectureDistributed SystemsAsynchronous Programming

Required

**Currently enrolled in one of the following

**

**-**An undergraduate degree program (Associate's or Bachelor's) **with 2 years of work experience**; or

**-**A Master's degree program **with 0 years of work experience**

Qualifying education and work experience should be in Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program

Expected to continue enrollment in degree program following completion of the internship

Backend development skills in Go or Python, demonstrated through a technical assessment, coding challenge, or code sample

Understanding of LLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation

Practical experience with model building and AI or LLM tasks, evidenced by a portfolio, code samples, technical evaluation, or academic/research project documentation

Preferred

Experience with inference engines such as vLLM, Triton, or TorchServe

Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models

Familiarity with agent frameworks and cloud-native platforms

Experience with cybersecurity principles and Python programming, including common AI libraries

Exposure to scalable computing environments and best practices for secure, efficient AI deployment

Benefits

This role may be eligible for remote work in the United States depending on business needs and hiring manager approval.

U.S. employees are offered medical, dental and vision insurance, subject to Cisco’s plan eligibility rules.

A 401(k) plan with a Cisco matching contribution.

Paid parental leave.

Short and long-term disability coverage.

Basic life insurance.

Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

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, and 4 paid days off for personal wellness determined by Cisco.

Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees.

Exempt employees participate in Cisco’s 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, and 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.

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Company

Cisco

Glassdoor

4.3

Networking and security solutions for organizations.

Founded in 1984

San Jose, California, USA

10001+ employees

http://www.cisco.com

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

70%

Represents job field similar to this job

Engineering and Development

Management and Executive

Product Management

Customer Service and Support

Sales

Marketing

Creatives and Design

Accounting and Finance

Human Resources

Education and Training

Legal and Compliance

Trends of Total Sponsorships

*2026 (654)

2025 (1238)

2024 (1231)

2023 (1273)

2022 (2127)

2021 (1991)

2020 (1173)

Funding

Current Stage

Public Company

Total Funding

$2.5M

1990-02-16IPO

1987-01-01Seed

• $2.5M

Leadership Team

Charles Robbins

Chair and CEO

Carl Solder

Chief Technology Officer - Cisco System Australia/New Zealand

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