Full Time

Co-Op, Machine Learning / Software Engineer

Saab, Inc.
$20,000 - $30,000* / year (about $10–$14 an hour)

Job Description

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Saab, Inc., so some details may not match this job. The employer's own page has the real description.

Job Overview

Saab, Inc. is seeking a motivated and talented Co-Op, Machine Learning / Software Engineer to join our dynamic team. The selected candidate will engage in a collaborative environment, contributing to various projects in machine learning and software development. Key responsibilities include analyzing data sets, designing algorithms, and implementing software solutions that enhance operational capabilities. This role offers a unique opportunity to gain hands-on experience in cutting-edge technologies and contribute to impactful projects within the defense and security domains.



Job Responsibilities

  • Assist in the design, development, and implementation of machine learning models and algorithms.
  • Collaborate with cross-functional teams to define project requirements and deliverables.
  • Analyze large data sets to extract meaningful insights and improve systems and processes.
  • Support the testing and validation of machine learning solutions to ensure performance and accuracy.
  • Document technical specifications and project progress for internal review.
  • Participate in code reviews and contribute to software quality assurance efforts.


Qualifications

  • Pursuing a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
  • Familiarity with programming languages such as Python, Java, or C++.
  • Understanding of machine learning concepts and algorithms.
  • Experience with data analysis tools and libraries, such as Pandas, NumPy, or TensorFlow.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills, both verbal and written.


Technologies & Tools

The Co-Op, Machine Learning / Software Engineer will be utilizing technologies and tools such as Python, TensorFlow, Scikit-learn, and other software development frameworks. Familiarity with cloud platforms (e.g., AWS, Azure) may also be beneficial for deploying machine learning models. Knowledge of version control systems like Git will be important for managing code collaboratively.



Ideal Candidates

The ideal candidates for the Co-Op, Machine Learning / Software Engineer position will possess a strong passion for technology and innovation. They should demonstrate a proactive approach to learning and problem-solving and exhibit an eagerness to work in a team-oriented environment. Exceptional organizational skills, attention to detail, and the ability to manage multiple tasks simultaneously are crucial for success in this role. Candidates should be committed to contributing their talents towards enhancing the security and effectiveness of defense systems.

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