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Algorithm Developer IV

Spectraforce Technologies
United States, Washington, Redmond
Sep 15, 2026
Job Title: Algorithm Developer IV

Location: Redmond WA - Onsite 3 days per week in office - M-F 8-5 hours

Duration: 12 months

Job Description:

Summary:

  • The main function of an algorithm developer is to design and implement algorithms for machine learning.
  • The typical developer will be able to test the effectiveness of routines against requirements.
  • In addition, embedded firmware efforts are needed to deploy the developed algorithms to hardware.



Job Responsibilities:

  • Training and Optimizing ML/hybrid pipelines for hardware deployment


  • Develop and apply advanced methods, theories, and research techniques of algorithms related to Deep Learning
  • Designs, implements and tests algorithms for a variety of machine learning (deep learning) tasks
  • Design statistical models and algorithms for analysing workload performance
  • Synthesize algorithm needs and designs for customer requirements.
  • Identify, troubleshoot, and resolve issues found with software
  • Deploy algorithms to hardware. Improve software performance



Must-Have Skills:

1 Python

2 ML Algorithms

3 AI usage (Claude, ChatGPT) for coding and running projects

Nice-to-have Skills

1 Embedded system knowledge

2 ARM CPU-NPU

3 Firmware understanding

Years of Experience:

  • 1 - 6 (max) years of experience


Degrees/Certifications Required:

  • Minimum) Bachelor's Degree in computer science, mathematics, or related field preferred, Masters preferred



Skills:

  • Experience with algorithm development (PyTorch, Tensorflow)
  • Experience with object-oriented programming in C++ or other languages
  • Experience with embedded systems (e.g. Raspberry Pi, NVidia Jetson, FPGA) and deploy algorithms to hardware
  • Experience with machine learning toolkits and platforms
  • Ability to deploy algorithms to hardware by porting them to firmware
  • Ability to manage projects autonomously.



Story Behind the Need - Business Group & Key Projects

Key Projects/Day-to-Day Responsibilities:

  • Training and Optimizing ML/hybrid pipelines for hardware deployment



Purpose/Size of this team & where does this position fit within the team?

  • Sensors and systems team. Use sensors to collect data and run ML algorithms and use that to build prototypes. Wire bulids and robotics

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