Senior MLOps Engineer - Hybrid bei Vannevar Labs
Vannevar Labs · New York, Vereinigte Staaten Von Amerika · Hybrid
- Senior
- Optionales Büro in New York
Vannevar is a defense technology company building AI to deter our adversaries. In the 21st century, conflict moves at algorithmic speed and foresight equals firepower. Our agentic AI is purpose-built to compete with China—from cross-Strait conflict to gray zone coercion. Trained on the most mission-relevant datasets in defense, our technology models adversary behavior, simulates campaigns, and recommends the best course of action to decision makers. Our AI systems are some of the most trusted in the industry and actively used on the front lines of the Indo-Pacific to keep the peace and save lives.
Exceptional technology starts with exceptional people. Vannevar is a small agile team combining world-class engineers with veteran strategists who bring deep expertise in defense and tradecraft. We’re building a company defined by mission impact, user empathy, and disciplined growth. In just three years, we grew from $3M to $80M in ARR, achieved early profitability, and reached unicorn status—proving that disruption doesn’t require an ego, and staying power doesn’t mean standing still.
About the role
The sensing team at Vannevar Labs is building a new hardware product that supports a widespread need for low-cost, attritable, and easily coordinated sensing. We’re looking for a Senior Engineer who can drive our MLOps cycle in support of the team of signal processing and machine learning engineers. This would support the core of the team's efforts to build an agile and intelligent signal detection and characterization platform that can rapidly address the needs of a diverse set of end users. This is bleeding edge work, combining the latest RF (Radio Frequency) DSP research and established machine learning best practices.
You will drive the MLOps cycle of this team: coordinating engagements with Forward Deployed Engineers and ML Research Scientists, helping prioritize data collection efforts and working with external partners to accelerate our model deployments. You will be responsible for ensuring models are delivered to address mission critical sensing requirements for our end users in the United States Government. This is a hybrid role based in NYC (3 days/week in office).
What you'll do
- 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
- Travel up to 20% of the time to meet with internal and external stakeholders
What we look for
- 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
What we offer
The salary range for this position is $160,000 - $200,000 + equity + 401K match. Within the range, individual pay is determined by experience, relevant education, and/or training.
- Health, dental, and vision insurance
- Unlimited PTO including competitive vacation and holiday schedules
- Lifestyle stipends - Monthly mental health, wellness & fitness stipend, in-home office setup stipend and family planning assistance
- Salary top-up during military reserve duty
- Fully paid parental leave
- Child and pet care reimbursement during travel
We are committed to protecting the privacy of all applicants. Official emails from the company will come from an @vannevarlabs.com domain. Under no circumstances will a legitimate representative from our company contact you to request passwords, financial information, or other sensitive personal data. Please be vigilant of potential scams.
