Sr Software Engineer, MLOps

NRG; Beaverton (OR); Hybrid; USD 150,000 - 185,000; Full time

Benefits offered by this job

Paid holidays

Employee discounts

Medical/dental/vision/life coverage &

401(k) + Employer Match

Employee Resource Groups

Job summary

NRG is seeking a Sr MLOps Engineer to design and scale the model lifecycle, deployment, observability, and foundational infrastructure for multiple AI features. You will build registry and serving systems, own versioning across models, datasets, and prompts, and standardize workflows for AI teams.

You will collaborate with engineering, data science, product, and operations to productionize AI capabilities at scale, improving reliability, latency, and cost efficiency across deployments.

Qualifications

• Bachelor’s or Master’s degree in a related field with 5+ years in software development, applied science, or ML engineering.

Responsibilities

• Build model registry, model serving, deployment, rollback, and CI/CD systems for production AI services.
• Own feature, dataset, model, and prompt versioning patterns across AI products.
• Standardize training, evaluation, release, monitoring, and operational workflows for AI teams.
• Improve reliability, cost efficiency, latency, and repeatability of AI launches.
• Create reusable platform patterns across AI features.
• Partner with engineering, data science, product, and operations teams to productionize AI capabilities at scale.

Skills

Python

Cloud engineering

CI/CD

Git

IaC

ML engineering

Model registry

MLOps

Education

Bachelor's degree in CS/SE/AI/ML

Master's degree in CS/SE/AI/ML

Tools

GCP

AWS

Kubernetes

Vertex AI

SageMaker

MLflow

Terraform

Job description

About This Role

We are seeking a Sr MLOps Engineer to build the model lifecycle, deployment, observability, and infrastructure foundations used by multiple production AI features, including recognition, AI Video Search, Multimodal AI, Agentic AI, and Energy AI ship faster with shared, reliable platform primitives.

• Build model registry, model serving, deployment, rollback, and CI/CD systems for production AI services.
• Own feature, dataset, model, and prompt versioning patterns across AI products.
• Standardize training, evaluation, release, monitoring, and operational workflows for AI teams.
• Improve reliability, cost efficiency, latency, and repeatability of AI launches.
• Create reusable platform patterns across AI features.
• Partner with engineering, data science, product, and operations teams to productionize AI capabilities at scale.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or Master’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering
• Experience building production ML platforms, model serving systems, or MLOps workflows
• Strong Python and cloud engineering skills
• Experience with CI/CD, Git, infrastructure-as-code, and production monitoring
• Familiarity with model registry, feature/data versioning (DVC)[CH1] , validation, deployment, rollback, and observability
• Ability to communicate tradeoffs clearly across engineering, data science, and product teams

Preferred Qualifications

• Experience with GCP/AWS, Cloud Run, Kubernetes, Vertex AI, SageMaker, MLflow, or equivalent tools
• Experience with AI services for computer vision, LLMs, multimodal models, or recommendation systems
• Experience with data validation, dataset versioning, feature stores, or model quality monitoring
• Experience optimizing cost, latency, reliability, and operational readiness for AI systems
• Experience with IoT, edge AI, smart home, or distributed device environments

Working at Vivint

Learn about the Vivint Culture and why it’s a great place to grow your career! Here are some highlighted perks you should ask us about:

• Paid holidays and flexible paid time away
• Employee/Friends/Family Discounts
• Medical/dental/vision/life coverage & 24/7 Medical Hotline
• 401(k) + Employer Match
• Employee Resource Groups

Job Functions

Position requires in-office presence in Seattle, WA on a hybrid schedule for Monday, Tuesday, Wednesday, and Thursday with a work from home day on Friday. The position will start remote and then will move into the hybrid schedule.

The base salary range for this position is: $150K to $185K* *The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. EEO is the Law Poster(The poster can be found atOfficial description on file with Talent.