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Machine Learning Engineer Job in Yakima, WA (1)

Lead Machine Learning Engineer, Shopping - Feed (Remote)

Capital One
🌎 Remote
New
Part-Time
Remote
Icon: salary
$175.8k - $200.7k / year

Principal Engineer, Machine Learning

Analog Devices
🌎 Remote
New
Remote
Eco-Friendly
Vision Insurance
Icon: salary
$184k - $276k / year

Aircraft Mechanic 1 (UH-60 Mechanic) - Yakima, WA.

Amentum
Yakima, WA
Hourly
Warehouse
Icon: salary
$70k / hour

Compiler Engineer II - Machine Learning, Annapurna Labs

Amazon
🌎 Remote
Remote
Eco-Friendly
Vision Insurance
Icon: salary
$129.3k / year

Job Description

Working as a Machine Learning Engineer in Yakima, WA

There is 1 Machine Learning Engineer opportunity available in Yakima, WA all with unique requirements.

Machine Learning Engineers use automation and algorithms to optimize operations, maximize the efficiency of business processes. Responsibilities include designing, developing, and implementing systems using machine learning models such as neural networks, Bayesian networks, decision trees, support vector machines, and Hidden Markov Models. They use their programming skills to introduce logic into decision-making processes. These systems are used to improve manufacturing output; product development processes; logistical processes; communications; fraud detection; loan underwriting; credit risk prediction; medical diagnosis and treatment selection; security screening of subjects such as prisoners or immigrants seeking access to sensitive areas such as airports or courtrooms.

Machine Learning Engineer jobs near Yakima, WA

Machine Learning Engineers in Yakima, WA Resume Data

Average Experience for Machine Learning Engineers in Yakima, WA

  • More than 10 years: 50%
  • 6-10 years: 33%
  • 3-5 years: 17%

Educational Background for Machine Learning Engineers in Yakima, WA

  • Masters: 40%
  • Diploma: 40%
  • Bachelors: 20%

Top Skill for Machine Learning Engineers in Yakima, WA

  • Customer focus & orientation: 10%
  • Attention to detail: 10%
  • Basic maintenance and repair: 10%
  • Manufacturing: Quality inspection: 10%
  • Mechanical knowledge: 10%
  • Management & leadership skills: Impact & influence: 10%
  • Management & leadership skills: Planning & execution: 10%
  • Work style: Conscientiousness: 10%
  • Work style: Reliability: 10%
  • Supervisory skills: Motivating & assessing employees: 10%

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