Fall 2026, Intern/Coop: Machine Learning Researcher

RTX
United States
Workplace: HybridPart timeUSD 37,000 - 82,000Function: Data Science & Machine LearningEducation: mastersSkills: ["Independent work","Collaboration","Research communication"]

Research and develop machine-learning methods focused on large language models and agentic AI. You will design and run GPU-cluster experiments, benchmark against baselines, and build evaluation/verification frameworks to improve reasoning, planning, and decision-making. The role also includes identifying and mitigating issues like hallucinations and jailbreaks, and communicating results via presentations, technical reports, and potential top-tier publication contributions.

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FursaFursa
RTX
RTX
1 day ago

Fall 2026, Intern/Coop: Machine Learning Researcher

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Research and develop machine-learning methods focused on large language models and agentic AI. You will design and run GPU-cluster experiments, benchmark against baselines, and build evaluation/verification frameworks to improve reasoning, planning, and decision-making. The role also includes identifying and mitigating issues like hallucinations and jailbreaks, and communicating results via presentations, technical reports, and potential top-tier publication contributions.
Location: United States
Workplace: Hybrid
Employment Type: Part time
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Develop methods and algorithms to evaluate, verify, and improve reasoning, planning, and decision-making for large language models and LLM-based agents.
  • •Design and run experiments on a GPU cluster and benchmark performance against established baselines.
  • •Explore agentic AI approaches, including LLM agents that can plan, reason, and interact with tools and environments safely and reliably.
  • •Detect and mitigate vulnerabilities such as hallucinations and jailbreaks.
  • •Communicate research findings through presentations, technical reports, and contributions to top-tier publications.

Pay and Benefits

Salary: USD 37,000 - 82,000
Perks:Health InsuranceDentalVisionLife Insurance401kPaid LeaveParental LeaveHolidays

Key Requirements

  • •Currently pursuing an MS/Ph.D. in Computer Science, Mathematics, or a related Engineering discipline; submit academic transcripts and complete a minimum of 6 months in co-op.
  • •1+ years of MS/Ph.D.-level research experience with large language models, reasoning, post-training/fine-tuning, robustness/vulnerability detection, or formal verification.
  • •1+ years of machine learning software development experience in Python, with familiarity with deep learning frameworks such as PyTorch or TensorFlow.
  • •Publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) is preferred.
Education:Master's in Computer Science, Mathematics, or related Engineering
Skills:Independent workCollaborationResearch communication
Tech Stack:PythonPyTorchTensorFlowGPU clusterLarge language modelsLLM agentsReinforcement learningComputer vision

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.
Security Clearance:None/Not Required

Company Brief

RTX
Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.
Industry: Aerospace Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Arlington, United States
Founded: 2020
Website