Senior ML Engineer - Production AI Systems & GenAI Lead
MetAntz
Palo Alto (CA)
Hybrid
USD 180,000 - 280,000
Full time
14 days+
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Benefits offered by this job
Performance bonus
Health insurance
Dental insurance
Vision insurance
401(k) plan
Unlimited PTO
Learning budget
Job summary
A leading AI solutions provider in Palo Alto is looking for a Senior ML Engineer to take ownership of the entire machine learning lifecycle. The ideal candidate will have over 7 years of experience in ML engineering, a strong background in Python, and significant expertise with production systems using PyTorch. You will work closely with product and data teams to create impactful machine learning solutions, debug complex production issues, and mentor junior engineers. Competitive compensation and excellent benefits available.
Qualifications
7+ years of hands-on ML engineering with senior-level ownership of production systems.
Strong academic grounding or equivalent applied depth in machine learning.
Expert in Python with deep familiarity of PyTorch and TensorFlow.
Experience deploying and scaling ML models in production environments.
Solid cloud experience across AWS, GCP or Azure.
Clear written and verbal communication.
Responsibilities
Lead end-to-end ML lifecycle across real products.
Build production-grade ML systems focusing on latency and reliability.
Partner with product engineering and data teams.
Provide technical leadership through mentoring and code reviews.
Debug production failures and performance regressions.
Skills
ML engineering
Python
PyTorch
TensorFlow
MLOps
AWS
GCP
Azure
Docker
Kubernetes
Education
Relevant background in machine learning or computer science
Job description
A leading AI solutions provider in Palo Alto is looking for a Senior ML Engineer to take ownership of the entire machine learning lifecycle. The ideal candidate will have over 7 years of experience in ML engineering, a strong background in Python, and significant expertise with production systems using PyTorch. You will work closely with product and data teams to create impactful machine learning solutions, debug complex production issues, and mentor junior engineers. Competitive compensation and excellent benefits available.