Found.dev
Role Highlights
Languages used
Key skills
Machine Learning
Data Science
ML Ops
Computer Science
Testing
Sustainability
AI
Research
Startup
Multimodal
Interpretability
PhD
Security
Architecture
Tools, Libraries and Frameworks
IOS
NIST
Description
The role involves building, testing, and analyzing AI systems to create independent validation and monitoring services. The technologist evaluates emerging AI technologies and architectures to identify opportunities for technical assessment. Responsibilities include prototyping validation approaches such as adversarial testing and interpretability methods. The position requires interpreting AI regulations and standards to develop viable evaluation frameworks. Additionally, the role involves engaging with research labs and startups to track technological developments and assess their strategic fit.
Required Qualifications and Skills
Candidates must hold an advanced degree such as a Masters or PhD in AI, Machine Learning, Data Science, Computer Science, or a related field. The role requires 25 years of hands-on experience in building, deploying, and validating AI systems within production, startup, or R&D environments. Applicants need a strong understanding of AI trust challenges, including robustness, bias, and security. Practical experience with evaluation methods like red teaming and adversarial testing is essential.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
SGS
Description
SparkCognition Government Systems (SGS), a wholly owned subsidiary of SparkCognition, is the first full-spectrum artificial intelligence (AI) company devoted entirely to government and national defense. By developing and operationalizing next-generation AI-powered systems, SGS enables government organizations to meet the needs of their most pressing national security missions. Using technologies built in the United States, SGS advances government operations by analyzing complex data to inform and accelerate intelligent decisions, applying predictive and prescriptive analytics to improve logistics, deploying autonomy technology for power projection systems, using natural language processing for large scale processing of unstructured data, and more. At the helm of SGS are some of the most experienced and decorated leaders in government and national defense, including Gen. John R. Allen, Sec. Lisa Disbrow, Amir Husain, Adm. John M. Richardson, Sec. Robert O. Work, and Sec. Michèle Flournoy. For in-depth information about SGS and its offerings visit: www.sparkgov.ai
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