Machine Learning Engineer II

Cisco

Machine Learning Engineer II intern building generative AI and LLM applications at Cisco. Optimizing, testing, and deploying neural-network models for secure connected infrastructure.

Posted 9/2/2026part-timeRemote • 🇺🇸 United StatesEntry Level💰 $44,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing generative AI applications using large language models, optimizing neural networks for natural language processing, and deploying models in real-world scenarios. Proficient in backend development with Go or Python, and familiar with AI/ML product collaboration across cross-functional teams.

Highest-signal resume keywords

Generative AI Application DevelopmentLarge Language Model OptimizationBackend Development in Go or PythonModel Building and AI TasksExperience with Inference Engines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AINatural Language ProcessingNeural Network OptimizationModel Training and Fine-TuningConvolutional ModelsTransformer-Based ModelsCustom Layer DesignProduction-Ready CodeAutomated Model DeploymentAI Libraries

Soft Skills

CollaborationContinuous Learning

Tools & Technologies

GPT-4ClaudeLlamaVLLMTritonTorchServeGPU ArchitectureDistributed SystemsCloud-Native PlatformsAsynchronous Programming

Industry Keywords

Computer ScienceElectrical EngineeringData ScienceMachine LearningArtificial IntelligenceStatisticsMathematicsSoftware EngineeringCybersecurity PrinciplesScalable Computing Environments

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed SystemsGoPython

About the role

Key responsibilities & impact

Develop and implement generative AI applications using large language models such as GPT-4, Claude, and Llama
Optimize neural networks for natural language processing and machine perception
Use convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks
Train, fine-tune, test, and deploy models for real-world use
Gather and prepare data with engineers and cross-functional teams
Design custom layers
Automate model deployment
Experiment with new technologies and continue learning
Produce production-ready code
Build robust tests
Collaborate with platform, security, release engineering, and support teams to deliver and operate AI/ML products

Requirements

What you’ll need

Currently enrolled in 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 in Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program
Expected to continue enrollment in the 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
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
Preferred: knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models
Preferred: familiarity with agent frameworks and cloud-native platforms
Preferred: experience with cybersecurity principles and Python programming, including common AI libraries
Preferred: exposure to scalable computing environments and secure, efficient AI deployment practices

Benefits

Comp & perks

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
Grants of Cisco restricted stock units may be available, subject to eligibility and continued employment
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
Paid birthday day off
Paid year-end holiday shutdown
4 paid days off for personal wellness
16 days of paid vacation per full calendar year for non-exempt employees
Flexible vacation time off program with no defined limit for eligible exempt employees
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
Additional paid time away for critical or emergency family issues
Optional 10 paid volunteer days per full calendar year
Annual bonuses for non-sales roles, subject to Cisco policies
Sales performance-based incentive pay where applicable