Senior Machine Learning Engineer, Vannevar
$160-200k
+ Equity
More information about location
3 days a week in office
Defense for the digital domain
Job no longer available
Defense for the digital domain
101-200 employees
Job no longer available
$160-200k
+ Equity
More information about location
3 days a week in office
101-200 employees
Company mission
To build software for the nation's most pressing national security problems.
Role
Who you are
- 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 the job involves
- 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 ML 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
- 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
Our take
As intelligence analysts work to solve rapidly evolving and increasingly challenging national security problems, modern technology is vital in achieving optimal results as there is no room for failure. Vannevar's innovative foreign text platform delivers solutions to some of today’s most important national security problems.
The company’s workflow platform, Decrypt, uses machine learning and automation to understand, target and respond to foreign actors in ways not previously possible. The platform is a proven success, driving Vannevar’s growth and attracting a $40M OTA contract with the Department of Defense.
Yielding impressive traction so far, the company is using its latest funding round to accelerate strategic initiatives and expand the scope of its technology. This comes after a period of rapid growth and sustained profitability, all suggesting a fruitful future for the company long-term.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
119% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jan 2023
$75m
SERIES B
Aug 2021
$12m
SERIES A
Total funding: $91.5m
Company benefits
- Health/Dental/Vision Insurance
- Equity + 401(k) Match
- Open PTO + all Federal Holidays and Dec 23-31
- Paid Parental Leave
- 100% Remote - Work From Anywhere in the US
- Flexible Work Environment - You Manage Your Work Day
- Quarterly Off-Site Travel for Team-Building
Company HQ
Palo Alto, CA
Leadership
Nini Hamrick
(President & Co-founder)Former US Intelligence Officer working as a Political & Counterterrorism Programs Analyst. Previous Chief of Staff to the Director of the National Counterterrorism Center, and was a Counterterrorism Analyst for the United States Department of Defense.
Brett Granberg
(CEO)Current Advisor at Lilt. Former Investor at In-Q-Tel and previously worked as a Business Analyst at McKinsey & Company.
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