Senior ML Engineer
New
California, USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- Artificial IntelligenceMachine LearningMLOpsGenerative AI
Requirements
- 5+ years of demonstrated, hands-on experience building scaled ML systems
- 5+ years of demonstrated, hands-on experience training large ML models, or equivalent experience
- 1+ year of AI engineering experience
- Strong technical skills and judgment around coding, testing, and building for scale
- Strong practical ML knowledge
- Solid knowledge of ML theory
- Working understanding of the AI application stack and lifecycle in the context of foundation models, from evaluation to deployment
- High sense of ownership and a drive to deliver impact in a fast-paced, evolving, ambiguous environment
Responsibilities
- Own ML-driven product features, identifying opportunities through to modeling, deployment, experimentation, and impact
- Partner with Product, Leadership, Growth, and Data Science to determine which problems should (and shouldn’t) be solved with ML, define success metrics, and iterate based on real-world performance
- Design, build, and ship scalable ML systems, including data pipelines, training workflows, and production model serving infrastructure
- Prototype rapidly and iterate regularly, developing repeatable evaluation frameworks, running experiments, and improving models based on results
- Shape our ML architecture and MLOps practices, establishing standards for experimentation, deployment, monitoring, and retraining as we scale
- Drive innovation in Generative AI, exploring how we can best use LLMs and agents to power new user experiences and internal productivity tools
- Provide technical leadership and mentorship, mentoring more junior team members, influencing our roadmap, and raising AI/ML literacy across the company
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