Applied ML Engineer: Vision, Tracking & Deployment

Kitware

New York (NY)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation plan
Tuition reimbursement
Flexible working hours
Six weeks paid time off
401(k)
Health insurance
Life insurance
Short- and long-term disability insurance
Bonus plan
Free coffee, drinks, and snacks

Job summary

Kitware is seeking a highly skilled machine learning engineer located in New York, NY. The role includes collaborating on innovative projects in machine learning, artificial intelligence, and computer vision. Candidates must have a Bachelor's or Master's degree in a related field, proficiency in Python, experience with deep learning libraries, and the ability to obtain a TS/SCI security clearance. Kitware offers a competitive benefits package including flexible working hours and six weeks paid time off.

Qualifications

  • Proven experience in machine learning and artificial intelligence.
  • Strong programming ability to develop robust solutions.
  • Willingness to apply for and maintain a TS/SCI security clearance.

Responsibilities

  • Collaborate with researchers on machine learning projects.
  • Perform rapid prototyping for operational systems.
  • Validate and deploy advanced exploitation algorithms.

Skills

Python
Deep learning libraries (PyTorch, TensorFlow)
C++
Machine learning tasks (Object Detection, Segmentation, etc.)

Education

Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field

Job description

Kitware is seeking a highly skilled machine learning engineer located in New York, NY. The role includes collaborating on innovative projects in machine learning, artificial intelligence, and computer vision. Candidates must have a Bachelor's or Master's degree in a related field, proficiency in Python, experience with deep learning libraries, and the ability to obtain a TS/SCI security clearance. Kitware offers a competitive benefits package including flexible working hours and six weeks paid time off.
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