Senior ML Scientist: Vision AI & Edge Deployment

oxipitalai

Bedford (MA)

On-site

USD 140,000 - 210,000

Full time

11 days ago
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Job summary

Oxipital AI is hiring a Senior Machine Learning Scientist to advance vision-based ML models from proof of concept to production. You will work with a small team of ML scientists, engineers, and model specialists, collaborating closely with software engineers and other functions.

The ideal candidate has 4+ years building ML-centric software in fast-paced production environments and hands-on experience with CV, edge deployment, and MLOps. Strong communication and problem-solving are essential.

Qualifications

  • Bachelor's degree or equivalent in CS/CE or related field.
  • 4 years of professional software development experience.
  • Experience with deep neural networks for CV applications.
  • Strong Python, PyTorch, NumPy or OpenCV skills.
  • Experience deploying software in a Linux environment.

Responsibilities

  • Expand capabilities of ML model architectures with new features.
  • Optimize ML model training and inference efficiency.
  • Design, develop, and maintain tools and infra for training, deploying, evaluating ML models.
  • Research cutting-edge ML techniques and integrate into the stack.
  • Contribute to a robust, scalable product pipeline.

Skills

Python
PyTorch
NumPy
OpenCV
Deep learning
Computer vision
Edge deployment
AWS
CI/CD
Linux
Mathematics
Communication

Education

Bachelor's degree or equivalent
Graduate degree preferred

Tools

AWS
CI/CD pipelines
Linux

Job description

Oxipital AI is hiring a Senior Machine Learning Scientist to advance vision-based ML models from proof of concept to production. You will work with a small team of ML scientists, engineers, and model specialists, collaborating closely with software engineers and other functions.

The ideal candidate has 4+ years building ML-centric software in fast-paced production environments and hands-on experience with CV, edge deployment, and MLOps. Strong communication and problem-solving are essential.

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