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Senior Software Engineer-ML Platform

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: SurveyMonkey
Full Time position
Listed on 2025-12-20
Job specializations:
  • Software Development
    Software Engineer
Salary/Wage Range or Industry Benchmark: 124000 - 186000 USD Yearly USD 124000.00 186000.00 YEAR
Job Description & How to Apply Below

Employer Industry:

Survey Software and Technology

Why consider this job opportunity:
  • Salary range from $124,000 to $186,000 per year, depending on the geographic market
  • Bonuses and commissions may be offered as part of the total compensation package
  • Comprehensive benefits package including medical, dental, vision, life, and disability insurance
  • Opportunity for career advancement in a dynamic and innovative environment
  • Flexible, hybrid work environment that encourages collaboration and community building
  • Chance to work on impactful projects that drive business growth and enhance user experiences
What to Expect (Job Responsibilities):
  • Build and maintain responsive, reusable, and performant UI components
  • Collaborate with designers and product managers to translate requirements into intuitive user experiences
  • Integrate frontend applications with APIs and ML-driven services
  • Implement and maintain CI/CD pipelines for ML workflows
  • Troubleshoot and resolve issues across ML infrastructure and frontend integrations
What is Required (Qualifications):
  • 5+ years of professional engineering experience, with exposure to both frontend and Dev Ops/MLOps domains
  • 3+ years of ML engineering experience using Python 3 in backend development and AWS for model deployment/serving
  • Strong proficiency in frontend technologies (React, Type Script, JavaScript, HTML, CSS)
  • Familiarity with CI/CD pipelines, containers (Docker), and orchestration (Kubernetes)
  • Strong collaboration skills and ability to work effectively with cross-functional teams
How to Stand Out (Preferred Qualifications):
  • Hands‑on experience with AWS
  • Understanding of MLOps concepts such as model deployment, monitoring, and lifecycle management
  • Good documentation skills
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Position Requirements
10+ Years work experience
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