Machine Learning Researcher

Luis Barreiro Lab Inc

Chicago, IL, United States
$110,000.00 - $130,000.00 py
On-site
Design and scale advanced algorithms
Behaviorally-informed ai technologies
Computational scientist and technical lead
The Bike Shop seeks to solve society’s most pressing challenges by designing and scaling advanced algorithms—particularly AI—that enhance human capacity, not simply automate tasks

Job Summary

  • The Bike Shop seeks to solve society’s most pressing challenges by designing and scaling advanced algorithms—particularly AI—that enhance human capacity, not simply automate tasks.
  • The Machine Learning Researcher serves as a computational scientist and technical lead, supporting advanced applications of artificial intelligence and machine learning in a research lab environment.
  • This position is not eligible for employer-sponsored employment authorization. This gift funded role is expected to be one year in duration but may be renewed annually.

Matching Summary

The Bike Shop seeks to solve society’s most pressing challenges by designing and scaling advanced algorithms—particularly AI—that enhance human capacity, not simply automate tasks.

Salary

$110,000.00 - $130,000.00

Skills & Requirements

Must-have

  • design and scale advanced algorithms
  • behaviorally-informed AI technologies
  • computational scientist and technical lead
  • ML projects and software solutions
  • data preparation, acquisition, ingestion, integration
  • model development, training, and evaluation
  • state-of-the-art machine learning
  • research computing approaches
  • scalable front-end and back-end software structures
  • data acquisition, ingestion, and integration
  • design, develop, train, and evaluate ML models
  • technical lead, mentoring PhD students
  • reproducible research practices
  • robust software development methodologies
  • cross-disciplinary research priorities
  • end-to-end data processing pipelines
  • multimodal scientific datasets
  • cloud platforms, high-performance computing
  • MLOps tools for scalable experimentation
  • version control, testing, technical documentation
  • ML/deep learning frameworks (PyTorch, TensorFlow)
  • scientific software development
  • algorithms and data structures
  • structured and unstructured data, relational databases
  • scalable software for scientific workflows
  • NLP, computer vision, reinforcement learning
  • scientific data integration

Nice-to-have

  • enhance human capacity, not automate
  • drive measurable social impact
  • train the next generation of scholars
  • actionable solutions for governments
  • interdisciplinary research environments
  • team-oriented, flexible, and supportive
  • advanced interpersonal skills
  • sound judgment in handling sensitive information

Key Requirements

  • 5-7 years of work experience
  • Bachelor’s degree in computer science, engineering, mathematics, statistics, or a related technical field
  • Master’s degree or PhD in computer science, electrical engineering, data science, or a related discipline, or equivalent experience
  • 5–7 years of relevant experience applying machine learning techniques and software development
  • Prior experience teaching, tutoring, or mentoring others

Work Rights

Not specified

Tailored Resume

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