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Software Engineer - Machine Learning

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Fetch Rewards
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below

Why consider this job opportunity

  • Opportunity for career advancement and growth within the organization
  • Work remotely from anywhere in the U.S.
  • Comprehensive medical, dental, and vision plans for employees and their pets
  • Generous education reimbursement of up to $10,000 per year
  • Flexible paid time off, including 9 paid holidays and a year-end break
  • 20 weeks of paid parental leave for primary caregivers
What to Expect (Job Responsibilities)
  • Build and scale ML models for receipt understanding, product matching, and catalog enrichment
  • Implement active learning strategies and human‑in‑the‑loop workflows
  • Utilize LLMs to enhance model training efficiency and reduce annotation effort
  • Collaborate with cross‑functional teams to identify and translate quality gaps into ML improvements
  • Maintain high standards for model performance, reliability, and data quality
What is Required (Qualifications)
  • Minimum 4 years of experience in software engineering with production‑level coding experience
  • Strong proficiency in Python for ML development and familiarity with Go
  • Practical experience applying LLMs for training and annotation efficiency
  • Strong engineering mindset to develop reliable and scalable systems
  • Experience with AI‑assisted coding tools to improve development efficiency
How to Stand Out (Preferred Qualifications)
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field
  • Familiarity with AI tools and frameworks like AWS Bedrock and Langchain
  • Experience with machine learning workflows and large language models (LLMs)
  • Hands‑on experience with computer vision and OCR technologies
  • Experience working in small, fast‑moving, cross‑functional teams

We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.

We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.

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