Senior AI Research Engineer - Adaptive Sensing & Vision

Elio

San Mateo (CA)

On-site

USD 190,000 - 240,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental & vision
401(k) program
Cutting-edge research projects

Job summary

Elio is seeking an experienced AI Research Engineer to join our AI & Data Science team in San Mateo, CA. You will work at the intersection of computer vision, representation learning, and reinforcement learning to develop real-time acquisition policies and cross-modal representations for adaptive sensing.

You will disseminate results, collaborate across scientific and engineering teams, and contribute to scalable, production-grade capabilities in a fast-paced startup environment.

Qualifications

  • Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • 8+ years of experience in AI/ML research, engineering, or data science.
  • Demonstrated depth in computer vision, representation learning, or reinforcement learning.
  • Strong publication record in computational methods, ML, or related areas.

Responsibilities

  • Research, develop, and ship novel AI algorithms for Elio's adaptive sensing platform.
  • Design, build, and validate modeling and analysis pipelines for imaging and sensing applications.
  • Own technical problems end to end - hypothesis, experimentation, analysis, and communication of results.

Skills

AI research
Computer vision
Representation learning
Reinforcement learning
Python
PyTorch
Data science tools

Education

Ph.D. in Computer Science or Electrical Engineering

Tools

Python
PyTorch
Pandas
scikit-learn
AWS

Job description

Elio is seeking an experienced AI Research Engineer to join our AI & Data Science team in San Mateo, CA. You will work at the intersection of computer vision, representation learning, and reinforcement learning to develop real-time acquisition policies and cross-modal representations for adaptive sensing.

You will disseminate results, collaborate across scientific and engineering teams, and contribute to scalable, production-grade capabilities in a fast-paced startup environment.

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