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Computer Scientist

Alutiiq, LLC

San Diego (CA)

Remote

USD 100,000 - 120,000

Full time

4 days ago
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Job summary

Alutiiq Information Management, a subsidiary of Alutiiq, LLC, is looking for a Computer Scientist specialized in Machine Learning in San Diego. This role involves developing innovative computer vision and machine learning solutions for a government project. Candidates should possess a Bachelor’s degree and relevant experience, with proficiency in Python and machine learning frameworks. The position offers a remote work opportunity and includes a competitive salary range of $100,000 to $120,000 annually.

Benefits

401(k)
Medical insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance

Qualifications

  • 3 years of relevant experience in related fields.
  • Experience in Python, machine learning frameworks such as PyTorch or TensorFlow.
  • Strong communication and documentation skills.

Responsibilities

  • Develop and maintain computer programs for machine learning projects.
  • Research and improve machine learning workflows and applications.
  • Create reports and visualizations for algorithm understanding.

Skills

Python
Machine Learning
Computer Vision
Data Analysis
Communication

Education

Bachelor's in Electrical Engineering, Computer Science, or equivalent

Tools

PyTorch
TensorFlow
GIT/source control

Job description

Alutiiq and its subsidiaries believe that our employees drive the company's success. We aim to create an environment offering challenging, stimulating, and rewarding opportunities.

Join us to experience a work environment where diverse ideas are welcomed and where you can learn and grow. We seek individuals who enjoy the entrepreneurial spirit of invention and teamwork to achieve exceptional results for our customers.

Category: IT and Computer Related

Job Type: Full-time

Typical Pay/Range: $100,000 to $120,000 annually

Education: Bachelor's Degree

Travel: None

Security Clearance Required: None

Position Overview and Responsibilities:

This position offers remote work opportunity.

Alutiiq Information Management, LLC, a subsidiary of Alutiiq, LLC, is seeking a Computer Scientist to support our government customer in San Diego, CA. The Computer Scientist/Machine Learning will develop Computer Vision and Machine Learning solutions for the Naval Information Warfare Command (NIWC) Pacific’s RESTORE Laboratory, a Navy research and development facility focused on C5ISR system sustainment and modernization.

  • Develop and maintain computer programs using Python and other languages for computer vision and machine learning projects.
  • Research, develop, and improve machine learning workflows and applications.
  • Utilize neural networks and deep learning for object classification, detection, segmentation, OCR, and text localization.
  • Perform data labeling, file and data format conversions, and data cleaning.
  • Conduct data analysis, develop tracking models, and manage data pipelines.
  • Create reports and visualizations to support algorithm understanding and data presentation.

Pay rate: $100,000 to $120,000 annually

Required Qualifications:

  • Bachelor's in Electrical Engineering, Computer Science, or equivalent with 3 years of relevant experience.
  • Proficiency in Python and libraries like Anaconda, with experience in writing functions, classes, and loops.
  • Experience in Computer Vision or Machine Learning frameworks such as PyTorch or TensorFlow.
  • Strong communication and documentation skills.
  • U.S. Citizenship is required due to government contract stipulations.

Preferred Skills and Experience:

  • Knowledge of neural networks and deep learning.
  • Experience with object detection, OCR, and 3D data like LiDAR.
  • Comfortable working in Linux environments.
  • Experience with GIT/source control.
  • Master's degree in related fields is a plus.

We are an equal opportunity employer and do not discriminate based on protected characteristics. Our benefits include medical, dental, vision, disability, life insurance, 401(k), and more. For details, visit our careers page.

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