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Machine Learning Engineer Company Hidden Technology Services Redmond, WA 1 Opening Posted today[...]

Agility Partners LLC

Redmond (WA)

Hybrid

USD 120,000 - 160,000

Full time

Today
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Job summary

A leading technology company seeks a Machine Learning Engineer to work on innovative robotics technology. This role involves developing scalable training infrastructures for AI models, collaborating with top researchers, and optimizing performance. Ideal candidates will have extensive experience in Python and machine learning frameworks. This hybrid position offers the chance to grow within a Fortune 15 company and enjoy comprehensive benefits.

Benefits

Medical, Dental, and Vision plans
401(k) plan
Long and short-term disability coverage
Opportunity to innovate and grow

Qualifications

  • 5+ years of experience in Linux, Python, and configuration management.
  • Experience in distributed computing and large-scale datasets.

Responsibilities

  • Create and maintain scalable training systems for AI models.
  • Collaborate with researchers on training and evaluation pipelines.

Skills

Linux
Python
C++
Deep Learning

Tools

TensorFlow
PyTorch
ROS/ROS2
AWS
Google Cloud
Azure

Job description

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:

  1. Create and maintain scalable, distributed training systems for AI models.
  2. Enhance training procedures to optimize performance and resource use.
  3. Collaborate with researchers on training and evaluation pipelines for algorithms.
  4. Develop benchmarks to evaluate machine learning models.
  5. Fine-tune foundational models for robotic applications.
  6. Monitor and improve the efficiency of pipelines, addressing bottlenecks.
  7. 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 with a customer-first approach and a growth mindset
  • Great resume builder – gain experience with a Fortune 15 company
  • Medical, Dental, and Vision plans (PPO and HSA options available); Individual and Family coverage offerings
  • Long and short-term disability coverage
  • 401(k) plan
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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