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Urgent! Machine Learning Engineer Intern Job Opening In Colorado Springs – Now Hiring Keysight Technologies
Overview
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization.
Our ~15, employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over countries.
Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions.
We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Keysight is looking for a college intern who is passionate about Artificial Intelligence and excited to apply machine learning techniques to solve real-world problems.
As a Machine Learning Engineer Intern, you will support our Data & Analytics and AI teams in developing, training, and evaluating ML models that enhance decision-making, automation, and customer experience across the company.
This role primarily focuses on learning and contributing to end-to-end ML workflows, including data preparation, feature engineering, model development, and performance evaluation.
You will gain hands-on experience with modern ML frameworks and cloud-based AI platforms while working alongside experienced engineers and data scientists.
Assist in building, training, and deploying machine learning models for predictive and analytical use cases.
Support data preparation tasks such as cleaning, feature engineering, and transformation for ML pipelines.
Conduct model evaluation, testing, and documentation to ensure performance and reliability.
Collaborate with data engineers on integrating ML models into scalable pipelines.
Explore opportunities to optimize model performance and improve inference efficiency.
Participate in research on emerging ML techniques, including deep learning and generative AI.
Additional learning opportunities in cloud ML/AI services as available.
Strong analytical and problem-solving skills with a foundation in mathematics and statistics.
Good communication skills and ability to collaborate in a team environment.
Familiarity with Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch.
Understanding of supervised and unsupervised learning concepts; exposure to NLP or deep learning is a plus.
Knowledge of cloud platforms or MLOps practices is beneficial.
Team-oriented mindset with curiosity to learn and experiment with new AI techniques.
Currently enrolled in college with a major in Computer Science, Data Science, Artificial Intelligence, Information Systems, or related field.
May consider business majors with an Information Systems or Data Analytics concentration.
Candidates who wish to be considered must be currently enrolled in a accredited college/university as of September .
Applicants who have graduated before September will not be considered unless they are starting a MS or PHD program after graduating.
Visa Sponsorship is not available for this position.
Candidates who now or at any point in the future require sponsorship for post internship employment visa status (e.g., H-1B Visa status) may not be considered.
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Colorado Springs, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Colorado Springs, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 11043 jobs in United States and 42 jobs in Colorado Springs. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Keysight Technologies is currently hiring and seeking a Machine Learning Engineer Intern to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Intern Jobs Colorado Springs.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Keysight Technologies adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Intern Jobs United States varies, but the pay scale is rated "Standard" in Colorado Springs. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer Intern typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer Intern interview at Keysight Technologies, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Keysight Technologies's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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