Senior AI/ML Engineer – Build Platform
General Motors
DockerPython
Machine Learning Product Architect
ResMed
full-time
Posted on:
Location Type: Hybrid
Location: San Diego • California • 🇺🇸 United States
Visit company websiteSalary
💰 $171,000 - $257,000 per year
Job Level
SeniorLead
Tech Stack
CloudPython
About the role
- Own the end-to-end architecture of AI/ML/GenAI systems that empower software products with advanced AI capabilities
- Collaborate with cross-functional teams including business product managers, data scientists, machine learning engineers, and software engineers to design and implement scalable AI
- Ensure that both the data source and output are optimized for performance and accuracy
- Act as a strategic architect, focusing two-thirds on strategic direction and solution design, and one-third on initiative deep dives, team mentorship, and execution acceleration
- Lead the creation of Architectural References to demonstrate scalable approaches, reference patterns, and best practices
- Provide leadership in MLOps and GenAI infrastructure — model versioning, monitoring, CI/CD pipelines, and deployment frameworks
- Optimize ML and GenAI workloads for performance, reliability, and cost efficiency
- Evaluate emerging AI, GenAI, and cloud-native technologies; make recommendations for adoption at scale
- Define, collaborate and implement governance, compliance, and security strategies for responsible AI use, ensuring adherence to regulatory and ethical standards
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field
- 8+ years of relevant experience with strong exposure to production-deployed AI/ML systems
- Proven success in scaling AI/ML and GenAI architectures from concept to production
- Deep understanding of ML algorithms, GenAI architectures (LLMs, embeddings, RAG, Agentic), and LLM pipeline workflows
- Strong coding proficiency in Python (additional languages a plus)
- Knowledge of modern software architecture principles and design patterns
- Strong communication and influencing skills to engage technical and non-technical stakeholders
- Certifications in cloud architecture or ML/GenAI technologies (preferred)
- Portfolio showcasing production-deployed ML/GenAI systems with business impact.
Benefits
- comprehensive medical, vision, dental, and life insurance
- AD&D insurance
- short-term and long-term disability insurance
- sleep care management
- Health Savings Account (HSA)
- Flexible Spending Account (FSA)
- commuter benefits
- 401(k)
- Employee Stock Purchase Plan (ESPP)
- Employee Assistance Program (EAP)
- tuition assistance
- Flexible Time Off (FTO)
- 11 paid holidays plus 3 floating days
- 14 weeks of primary caregiver leave or two weeks of secondary caregiver leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI systemsML systemsGenAI systemsMLOpsmodel versioningmonitoringCI/CD pipelinesPythonML algorithmsLLM pipeline workflows
Soft skills
leadershipmentorshipcommunicationinfluencingcollaborationstrategic directionsolution designexecution acceleration
Certifications
cloud architecture certificationML certificationGenAI certification
