Model Robustness Applied Researcher - SIML, ISE
Model Robustness Applied Researcher - SIML, ISE
Posted on :
02-08-2025
Employer Active
1 Vacancy
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Monthly Salary
USD 181100 - 272100
Vacancy
1 Vacancy
Posted on :
02-08-2025
Job Description
You will work at the intersection of applied research and real-world constraints developing novel techniques for advancing responsible AI. We are seeking a candidate with a consistent track record in applied ML research. The primary responsibilities associated with this position range from algorithm design and implementation ability to integrate research into production frameworks and collaborating closely with product teams before and after feature launch.
- Masters or Ph.D. in Computer Science applied mathematics or comparable professional experience.
- Hands on experience training larges scale multimodal models and/or adapting pre-trained models for downstream tasks.
- Strong programing skills in Python and proficiency in frameworks (ie TensorFlow Pytorch) or equivalent deep learning frameworks.
- Strong background in machine learning and deep learning with expertise in one of the sub-areas of adversarial robustness responsible AI and/or model alignment.
- Strong background in research and innovation demonstrated through publications in top-tier journals conferences patents or impactful industry experience.
- Experience in transitioning prototypes into shipping products. Excellent written and verbal communication skills comfortable presenting research to large audiences and ability to work in multi-functional teams.
- Experience with adversarial attacks and defenses on Generative AI models including robust training secure sampling strategies and detection of adversarially perturbed generations is a plus.
- Familiarity with red teaming methodologies to assess the robustness and security of Generative AI systems in adversarial and high-risk settings is a plus.
Employment Type
Full Time
Key Skills
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