ML Research Intern

Modal
New York, San Francisco
Workplace: OnsiteFull timeUSD 15,000 - 15,000 monthlyFunction: Research & Scientific (R&D)Education: phdSkills: ["Collaborative","Mission-driven"]

Join the research team to advance reinforcement learning, machine learning, and foundation models. You’ll improve existing methods and develop new techniques for large-scale model training, optimization, and inference, with a focus on long-context and long-horizon tasks. Work to boost inference-time efficiency, reliability, and robustness for high-stakes real-world deployments, while translating research ideas into working implementations and collaborating across research and engineering.

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FursaFursa
Modal
Modal
1 month ago

ML Research Intern

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Join the research team to advance reinforcement learning, machine learning, and foundation models. You’ll improve existing methods and develop new techniques for large-scale model training, optimization, and inference, with a focus on long-context and long-horizon tasks. Work to boost inference-time efficiency, reliability, and robustness for high-stakes real-world deployments, while translating research ideas into working implementations and collaborating across research and engineering.
Location: New York, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Improve existing methods and develop new techniques for large-scale model training, optimization, and inference.
  • •Extend models to long-context and long-horizon tasks.
  • •Increase inference-time efficiency, reliability, and robustness in real-world deployments.
  • •Translate research ideas into working implementations.
  • •Collaborate effectively across research and engineering teams.

Pay and Benefits

Salary: USD 15,000 monthly

Key Requirements

  • •Currently pursuing a PhD in computer science, machine learning, or a related field.
  • •Demonstrated research record in reinforcement learning, machine learning, and/or foundation models.
  • •Experience developing and evaluating large-scale models or machine learning systems.
  • •Familiarity with distributed training, large-scale inference, and/or multi-GPU environments.
  • •Strong programming and engineering skills, translating research ideas into working implementations.
Experience:Reinforcement learningMachine learningFoundation modelsLarge language modelsMultimodal modelsLarge-scale trainingDistributed training
Education:PhD / Doctorate in computer science, machine learning, or a related field
Skills:CollaborativeMission-driven

Company Brief

Modal
Provides a serverless, high-performance cloud platform for AI, ML, and data workloads — offering instant autoscaling, elastic GPU access, and developer-first tooling to run inference, training, and batch jobs at scale.
Industry: Cloud Computing
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: New York City, United States
Founded: 2021
WebsiteLinkedIn