Staff Machine Learning Engineer
JCT Recruiting
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow
Machine Learning Research and Engineering Intern
NBCUniversal
internship
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $55 per hour
Job Level
Entry Level
Tech Stack
AWSCloudPythonSpring
About the role
- Conduct research in machine learning, focusing on advance personalization, recommendation systems, and NLP
- Design, prototype, and evaluate ML models that deliver personalized recommendations across devices and services
- Work with large-scale datasets, train, optimize, and fine-tune models using methods like collaborative filtering, hybrid models, deep learning and generative AI
- Collaborate with data engineers, product managers, researchers, and engineers to integrate models into production systems
- Present findings to stakeholders and contribute to research publications or presentations
- Develop novel models or improve existing ML-backed products and contribute to both experimental prototypes and live services
- Work on problems such as Generative Models for Ranking and Retrieval, Conversational Recommendation, and Multi Objective Personalization and Ranking Models
Requirements
- Publications in top-tier ML/NLP venues
- Experience working with transformer models
- Familiarity with cloud or big-data platforms (Databricks, or AWS)
- Graduate student in mathematics, statistics, physics, computer science, or another highly quantitative field degree with strong research background
- Advanced training and strong research track record in statistics, machine learning, AI, or another highly quantitative field
- Hands on programming experience in scripting (e.g. Python)
- A background demonstrating strong problem-solving skills
- An ability to communicate advanced concepts in a concise and logical way
- Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems
- Currently enrolled in a graduate program in a relevant field at a U.S.-based college or university, with a strong academic record
- Rising second year Master’s or PhD student preferred (graduating Winter 2026–Spring 2028)
- Returning to degree-program (for at least a semester) after the completion of the summer internship
- Available to work 40 hours per week from June 1, 2026 through August 14, 2026
- Authorized to work in the United States with no current or future sponsorship needs
- Available to report in-person to the work location on the job posting (unless virtual offering)
- Relevant Work Experience 0-2 Years
Benefits
- Paid, 11-week immersive experience
- Base Pay: $55.00
- Paid internship
- Mentorship & Support through dedicated mentorship program
- Professional Development: custom onboarding, curated learning series, and networking events
- Community, Connection & Giving Back: Team UP volunteer initiative
- "Best-in-class Benefits to eligible employees" (company-provided benefits summary)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningnatural language processingcollaborative filteringhybrid modelsdeep learninggenerative AItransformer modelsPythonalgorithmsstatistics
Soft skills
problem-solvingcommunicationcollaborationresearchpresentation
