gem
AI Software Engineer lll
Wyze
Kirkland, USA
Full-time
Mid · 3+ years experience
Hybrid
USD 152000-205000 yearly / year
Discovered 2 weeks ago
PythonJavaGoKubernetesDockerAWS
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
PythonJavaGo
Key Skills for This Role
PythonJavaGoKubernetesDockerAWS
Full Job Posting
- Design, build, and operate infrastructure and backend services that power production AI features.
- Build and improve model training infrastructure, including systems that support training jobs, experimentation, compute management, data workflows, and model artifacts.
- Build infrastructure that supports the full model lifecycle, from training and experimentation through deployment and production serving.
- Improve the scalability, performance, reliability, and cost efficiency of our AI platform.
- Build and maintain cloud-based services and containerized workloads for AI and ML applications.
- Develop systems that make it easier for ML engineers to train, evaluate, deploy, and iterate on models.
- Build reusable platform capabilities that allow engineering teams to launch new AI-powered features quickly and safely.
- Improve deployment, rollout, monitoring, and operational workflows for AI models and services.
- Diagnose and resolve reliability and performance issues across application, infrastructure, compute, and ML system layers.
- Support large-scale AI workloads across text, image, video, and multimodal applications.
- Evaluate and adopt emerging AI infrastructure technologies when they provide meaningful improvements in productivity, performance, reliability, or cost.
- Improve software development and operational workflows through effective use of modern AI coding agents and agentic engineering tools.
- Work closely with AI scientiests, and product teams to translate rapidly changing requirements into practical technical solutions.
- Own systems end-to-end, from architecture and implementation through deployment, monitoring, operation, and continuous improvement.
- 3+ years of professional software engineering experience building production backend systems, infrastructure, or distributed systems.
- Strong programming skills in Python, Java, Go, or a comparable backend or systems language.
- Strong understanding of distributed systems fundamentals, including concurrency, fault tolerance, messaging, backpressure, load balancing, and horizontal scaling.
- Production experience with Kubernetes or Docker-based containerized workloads.
- Experience operating production services on a major cloud platform such as AWS, GCP, or Azure.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Wyze
Senior Product Manager - Smart Home Hardware
Kirkland, USA
SeniorFull-time
Discovered 1 weeks agoView →
Senior Product Manager - Subscriptions
Kirkland, USA
Discovered 1 weeks agoFull-time
Software Engineer II - Cloud Platform Team
Kirkland, USA
Discovered 1 weeks agoFull-time
Lifecycle Marketing Manager
Kirkland, USA
Discovered 1 weeks agoFull-time
Senior Product Manager - Smart Home Hardware
Kirkland, USA
Discovered 1 weeks agoFull-time
Manager, Supply Chain Analytics
Kirkland, USA
Discovered 1 weeks agoFull-time
Finance Business Partner (Copy)
Kirkland, USA
Discovered 1 weeks agoFull-time
Applied Scientist III - VLM R&D
Kirkland, USA
Discovered 1 weeks agoFull-time
Senior Director, Customer Service
Kirkland, USA
Discovered 1 weeks agoFull-time