1279 Machine Maintenance jobs in Maple Valley, WA

Boeing

Renton, WA 98055

Ability to work at heights up to 125 feet above ground level and pass Fall Protection Training.
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.62 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee
Resumes of current Puget Sound Boeing employees submitted via “Find Jobs” in Boeing/Workday will be considered as this job is not installed in QTTP (Quality Through Training Program).
Relocation based on candidate eligibility.
1+ years' experience troubleshooting programmable logic controllers (PLC) OR Functionally Equivalent Control Systems, such as related fields including military, shipboard, aircraft support, weapons systems, or industrial automation platforms.
3+ years of electronic/electrical experience in any of the following fields: machine tool maintenance, industrial electronic and/or electrical maintenance field, or military electronic/electrical system maintenance.
High school graduate or GED preferred.

Spanaflight Aviation

Puyallup, WA 98374

PacWest Machinery

Kent, WA 98042

Seattle, WA 98115

End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
Degree in computer science, machine learning, statistics, or related field
4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)

Boeing

Auburn, WA 98071

General Plastics Manufacturing Company

Tacoma, WA 98409

Plaid

Seattle, WA 98115

Apple, Inc.

Seattle, WA 98115

Excellent interpersonal skills, the ability to work independently as well as as part of a team
Proved ability to apply advanced ML techniques to improve search relevance and retrieval quality at scale
A deep understanding of machine learning theory, including supervised learning, ranking models, embeddings, representation learning, and evaluation metrics
Comfortable leading experimentation, offline evaluation, and online A/B testing for iterative improvements in search quality
Master's Degree in Computer Science or equivalent experience in machine learning or a related field
8+ years of experience in information retrieval, natural language processing, machine learning, or deep learning