Senior Machine Learning Engineer, Agents

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Defense & Military TechnologyIndustries

Requirements

Candidates must possess technical leadership skills, a track record of shipping high-impact AI-enabled applications, deep and current knowledge of AI capabilities and emerging trends, and an excitement to work with other engineers to make them successful. They should demonstrate a bias towards achieving outcomes, including a willingness to step outside their immediate role to ensure mission success, and the ability to work autonomously and set their own goals. Active TS/SCI clearance is a plus.

Responsibilities

The Senior Machine Learning Engineer will build and scale the Agentic AI Platform, own the backend, infrastructure, and AI/ML platform powering the next generation of AI for the DoD, build systems and patterns to help move from prototype to production including evaluations at scale and fine-tuning pipelines, and democratize agent building by making it possible for more people to participate in automating workflows with agents. They will also collaborate across disciplines with designers, frontend engineers, platform engineers, and product owners to build effective agents and ensure mission success.

Skills

Machine Learning

AI Platform Development

Backend Infrastructure

Multi-modal Data Processing

AI/ML Fine-tuning

Software Engineering

UX Design

Vannevar Labs

Advanced data collection for national security

About Vannevar Labs

Vannevar Labs enhances national security by providing advanced data collection and analysis tools primarily for government agencies and defense contractors. Their main product, Decrypt, simplifies the process of gathering public data from hard-to-reach sources while ensuring secure and anonymous data collection. This platform decentralizes data collection, pulling information from various global sources without requiring user interaction, using layered obfuscation methods to protect data integrity and user identities. Decrypt's open architecture allows for quick integration with other applications, making it adaptable to various needs. Vannevar Labs operates on a subscription-based model, charging clients for access to Decrypt, which ensures a steady revenue stream. The company's goal is to leverage technology to improve national security and maintain its reputation as a trusted provider in the defense sector.

Palo Alto, CaliforniaHeadquarters

2019Year Founded

$89MTotal Funding

SERIES_BCompany Stage

Data & Analytics, DefenseIndustries

51-200Employees