Machine Learning Engineer II

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and execute generative AI applications utilizing large language models such as GPT-4, Claude, and Llama.

• Enhance neural networks for natural language processing and machine perception.

• Implement convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks.

• Train, fine-tune, evaluate, and deploy models for practical applications.

• Collaborate with engineers and cross-functional teams to collect and prepare data.

• Design custom layers for model architectures.

• Automate the deployment of models.

• Explore new technologies and engage in continuous learning.

• Write production-ready code.

• Develop comprehensive tests.

• Work alongside platform, security, release engineering, and support teams to deliver and manage AI/ML products.

⛳️ Requirements

• Currently pursuing an undergraduate degree (Associate's or Bachelor's) with two years of work experience, or enrolled in a Master's degree program with no work experience required.

• Relevant education and experience in Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or an equivalent field.

• Expected to maintain enrollment in the degree program after completing the internship.

• Proficient in backend development using Go or Python, demonstrated through a technical assessment, coding challenge, or code sample.

• Familiarity with LLM infrastructure and optimization techniques.

• Hands-on experience with model building and AI or LLM tasks, supported by a portfolio, code samples, technical evaluations, or documentation from academic/research projects.

• Preferred: experience with inference engines such as vLLM, Triton, or TorchServe.

• Preferred: knowledge of GPU architecture, optimization strategies, distributed systems, and asynchronous programming models.

• Preferred: experience with agent frameworks and cloud-native platforms.

• Preferred: understanding of 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 Cisco matching contributions.

• Paid parental leave.

• Short- and long-term disability coverage.

• Basic life insurance.

• Potential grants of Cisco restricted stock units, subject to eligibility and continued employment.

• Ten paid holidays each full calendar year.

• One floating holiday for non-exempt employees.

• Paid day off for birthdays.

• Paid holiday shutdown at year-end.

• Four paid days off for personal wellness.

• Sixteen 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.

• Eighty hours of sick time off provided on hire date and each January 1st thereafter.

• Up to eighty hours of unused sick time can be carried forward.

• Additional paid time off for critical or emergency family situations.

• Optional ten paid volunteer days each full calendar year.

• Annual bonuses for non-sales roles, in accordance with Cisco policies.

• Sales performance-based incentive pay where applicable.