Machine Learning Engineer II

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $44k - $130k / year

⏱ Part Time

⚪️ Entry-level

🤖 Machine Learning Engineer

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Cisco

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1984

🔧 Hardware

🔐 Security

🏢 Enterprise

Hardware • Security • Enterprise

Cisco is a multinational technology company that provides networking hardware, software, and services to enterprises, service providers, and governments. It builds routers, switches, optical transceivers, programmable silicon, and edge computing platforms, and offers security, collaboration (Webex), observability, and AI-enabled software and support services to help organizations design, operate, and secure large-scale networks and data centers. Cisco also delivers professional services, training, and cloud-managed solutions to support digital transformation and AI-ready infrastructure.

📋 Description

• 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

• 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

• 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