Machine Learning Engineer

job
  • Agility Partners
Job Summary
Location
Redmond ,WA 98052
Job Type
Contract
Visa
Any Valid Visa
Salary
PayRate
Qualification
BCA
Experience
2Years - 10Years
Posted
02 Jan 2025
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Job Description

About this Role

Agility Partners is seeking a qualified Machine Learning Engineer to fill an open position with a Fortune 15 company based in the greater Seattle area. This is an exciting opportunity to work with cutting-edge robotics technology, collaborating with top researchers and engineers to develop AI models for practical applications. You will be a key player in developing scalable training infrastructures and helping robots perform complex tasks, from folding laundry to assembling engines.

In this role you will:

  • Create and maintain scalable, distributed training systems for AI models.
  • Enhance training procedures to optimize performance and resource use.
  • Collaborate with researchers on training and evaluation pipelines for algorithms.
  • Develop benchmarks to evaluate machine learning models.
  • Fine-tune foundational models for robotic applications.
  • Monitor and improve the efficiency of pipelines, addressing bottlenecks.
  • Ensure robustness and reliability of the training infrastructure through automated testing and continuous integration.


Benefits and Perks

  • Hybrid position in Redmond, Washington
  • Opportunity to innovate and grow within a globally recognized leader in technology
  • Culture-focused company focused on customer-first and a growth mindset
  • Great resume builder – gain experience with a Fortune 15 company
  • Medical, Dental and Vision plans (PPO and HSA plans available); Individual and Family coverage offerings
  • Long and short term disability coverage
  • 401(k)


The Ideal Candidate

  • 5+ years of experience in Linux, Python, and configuration management
  • Experience with ROS/ROS2, TensorFlow, and machine learning packages
  • Proficiency in Python, C++, and deep learning libraries such as PyTorch or TensorFlow
  • Experience in distributed computing and large-scale datasets
  • Knowledge of state-of-the-art machine learning techniques and models
  • Experience with cloud-based training environments (AWS, Google Cloud, Azure)

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