Vannevar Labs is building AI to deter adversaries, specifically focusing on competing with China. The sensing team is developing a new hardware product for low-cost, attritable, and easily coordinated sensing, requiring an MLOps cycle to support signal processing and machine learning engineers in creating an agile and intelligent signal detection and characterization platform.
Requirements
- 4+ years working with ML researchers to take AI/ML products from research to production
- 2+ years of building CI/CD pipelines or using Infrastructure-as-code tools
- 2+ years developing server-side architecture and data models to support data products that integrate machine learning
- 2+ years with model versioning and experimentation platform like Weights and Biases
- Experience deploying code to cloud platform (AWS, Google Cloud Platform, or Azure)
- Experience developing AI/ML models in physical or applied science fields OR experience as a signal processing engineer, RF Sytems Engineer, or similar discipline
Responsibilities
- Own the transition of developed MLOps pipeline components into an automated pipeline to produce and evaluate models for production
- Develop metrics and methodologies to identify algorithmic and training gaps, ensuring the effectiveness of the production models are visible to all stakeholders
- Collaborate with cross disciplinary engineering teams to integrate developed algorithms and models into production
- Be a hands-on technical contributor to unblock or bootstrap key initiatives
Other
- This is a hybrid role based in NYC (3 days/week in office).
- Travel up to 20% of the time to meet with internal and external stakeholders
- The salary range for this position is $160,000 - $200,000 + equity + 401K match.
- Health, dental, and vision insurance
- Unlimited PTO including competitive vacation and holiday schedules
