Staff Machine Learning Engineer, Agentic App Platform - Moveworks
$176,100–$308,200 year
On-siteMountain View Santa Clara County, California, United States
Job Summary
Construct an extensive product infrastructure with user-friendly interfaces that empower engineers to customize and optimize generative AI models. Design scalable API abstractions supporting popular chat clients like MSTeams and Slack, and optimize the dialog engine for real-time multilingual translation with minimal memory footprint. Champion best practices for coding patterns and API design, while implementing robust logging, tracing, and automated metrics frameworks to monitor conversational AI performance. Collaborate closely with ML engineers, product teams, and customer support to drive feature development and scalability initiatives across hundreds of millions of users.
Required Qualifications
- A strong foundation in computer science and software engineering
- Expertise in building scalable systems
- A deep understanding of clean, modular, and scalable API design
- Ability to champion best coding practices
- Ability to influence fellow engineers to uphold high standards of code quality and craftsmanship
- Passion for optimizing systems and improving performance
- Well-versed in tracing, logging, and metrics frameworks
- Systematic approach to quickly identify and resolve latency bottlenecks
- Systematic approach to quickly identify and resolve race conditions
- Systematic approach to quickly identify and resolve throughput limitations
- Ability to independently research new requirements
- Ability to develop innovative solutions
- Thrive in an environment of fast-paced coding and execution
- Embrace rapid iterations to deliver results
- Strong communication skills
- Ability to effectively articulate rationales and design approaches
- Cross-functional awareness
- Ability to collaborate seamlessly with various teams
- Bachelor's degree or higher in computer science or a related field
- 7+ years of professional development experience
- Specific experience in building systems at scale
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