AI Machine Learning Engineer II (Full Time) United States

Cisco Systems; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

Join a dynamic engineering team at a forward-thinking company, where you'll develop cutting-edge AI/ML solutions. This role focuses on generative language models, optimizing applications for performance, and collaborating across teams to ensure smooth operations. You'll have the opportunity to engage in innovative projects, stay updated with the latest advancements in AI, and mentor fellow engineers. If you're passionate about technology and eager to make a difference, this position is an exciting opportunity to grow your skills and contribute to impactful projects.

Qualifications

• Recent graduate or final-year student in a technical field.
• 0-3 years of relevant experience or equivalent academic background.
• Proficiency in programming languages like Python or Go.

Responsibilities

• Develop and implement applications based on generative large language models.
• Optimize AI applications for performance, scalability, and reliability.
• Design and develop APIs for AI model interactions.

Skills

Python

Go

Natural Language Processing (NLP)

Machine Learning

Data Science Tools (Pandas, NumPy, SciPy, Scikit-learn)

Education

Bachelor's in Computer Science

Data Science

Engineering

Tools

TensorFlow

PyTorch

Google AI Platform

AWS

Hadoop

Spark

Kafka

Job description

Applications are accepted until further notice.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

Who You'll Work With

You will join a dynamic engineering team, building AI/ML solutions and collaborating closely with various teams, including platform, security, release engineering, and support, to deliver the product. You will also contribute to ensuring the product's smooth operation.

What You'll Do

In this role, you will be responsible for developing and implementing applications based on generative large language models, such as GPT-4, Claude, Llama, and their derivatives, ensuring they meet business requirements. Your duties will include optimizing these generative AI applications for performance, scalability, and reliability. You will engage in red teaming activities to validate robustness and precision. Staying up-to-date with AI and machine learning advancements is expected, along with suggesting how new technologies might be implemented. Additionally, you will design and develop APIs for AI model interactions and address issues arising from AI applications.

Who You Are

You are a lifelong learner, eager to adopt new tools and technologies. You value building strong relationships with colleagues and take pride in coaching and mentoring engineers.

Minimum Qualifications

• Recent graduate or final-year student in a technical field (e.g., Computer Science, Data Science, Engineering) from a university, community college, boot camp, or apprenticeship program, or holding equivalent certifications.
• 0-3 years of relevant experience or equivalent academic background.
• Proficiency in programming languages such as Python or Go.
• Knowledge of machine learning frameworks (TensorFlow, PyTorch) and model training platforms.
• Familiarity with data science tools like Pandas, NumPy, SciPy, Scikit-learn.
• Proficiency in Natural Language Processing (NLP).

Preferred Qualifications

• Experience with cloud platforms such as Google AI Platform or AWS.
• Deep understanding of machine learning algorithms, including generative models.
• Knowledge of big data technologies (Hadoop, Spark, Kafka).
• Skills in Go/Java for backend development and integration with data science applications.
• Research or industry experience in machine learning, generative AI, or time series analytics.

Why Cisco

#WeAreCisco, where every individual is unique, and we work as a team to create an inclusive future. We embrace digital transformation, innovate, and value diversity and equality. Join us if you're passionate about technology and making a difference!