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Engineering Manager
Machine Learning
Confirmed live in the last 24 hours
Locations
Palo Alto, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Computer Vision
Docker
Natural Language Processing (NLP)
Kubernetes
Requirements
  • Proven experience leading a strike team from current engineers and external hiring for driving foundation models in natural language processing and computer vision through the production-grade ML lifecycle
  • Demonstrable experience building & maintaining infrastructure for building ML models & data curation techniques (including but not limited to logging and error handling, regression tests, interface standardization, and documentation), enabling high scalability and unlocking velocity within the team
  • Experience shipping ML artifacts to customer-facing products
  • Ability to act as an evangelist to harmonize high-throughput low-latency engineering processes for production-grade ML models in a fast-paced startup environment
  • Demonstrated experience with ML model evaluation concepts and core NLP techniques
  • Working experience with Kubernetes / docker
  • Working experience with building cloud services
Responsibilities
  • Build and lead a strike team from current engineers and external hiring for driving foundation models in natural language processing and computer vision through the production-grade ML lifecycle
  • Build and maintain infrastructure for building ML models and data curation techniques (including but not limited to logging and error handling, regression tests, interface standardization, and documentation), enabling high scalability and unlocking velocity within the team
  • Periodic shipping of ML artifacts to customer-facing products
  • Act as an evangelist to harmonize high-throughput low-latency engineering processes for production-grade ML models in a fast-paced startup environment
Desired Qualifications
  • Experience working in a high-growth startup
  • A team player who demonstrates humility
  • Action-oriented with a focus on speed & results
  • Ability to thrive in a no-boundaries culture & make an impact on innovation
SambaNova Systems

201-500 employees

Hardware for AI
Company Overview
SambaNova's mission is to enable the future of AI today by providing purpose-built deep learning solutions, delivered as a service and deployable in weeks rather than years to accelerate AI adoption and value creation.
Benefits
  • Flexible PTO in US
  • Parental Leave
  • Benefits (medical, dental and vision)
  • Flexible Spending Accounts
  • 401k/Pensions
  • Gym Access
  • Flexible Working Hours
Company Core Values
  • Talent first
  • Innovation that impacts
  • Trust & Integrity