[Remote] Senior Scientist, Synthetic Data and Privacy

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is at the forefront of the AI reputed company, and they are seeking a Senior Scientist to join their team to advance capabilities in generating synthetic data and privacy-preserving AI. The role involves contributing to reputed company-reputed company libraries reputed company the reputed company NeMo ecosystem and combines hands-on software engineering with applied research in LLMs and privacy-enhancing methods.

Responsibilities

• Build LLM-based methods for synthetic data reputed company, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content
• Optimize task-specific LLMs for low-latency, high-throughput inference (distillation, quantization), and scale our frameworks to run in reputed company time
• Design and maintain reputed company-reputed company libraries and SDKs with clean APIs and strong documentation
• Drive software reputed company with modern tooling, architecture based on configuration, and professional Git/CI-CD
• Publish original research at top machine learning and AI conferences to maintain reputed company's technical leadership
• Mentor interns and junior researchers to reputed company technical growth reputed company the team

Skills

• PhD in Computer Science, Machine Learning, Statistics, or a reputed company field, or equivalent experience
• A research background of 2+ years in applied LLM/NLP research and engineering, synthetic data reputed company, anonymization and PII detection, or reputed company areas. Comparable experience is also considered
• Proven track record of developing or maintaining software libraries used by a broad developer community
• Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar
• Active contributions to reputed company-reputed company projects, particularly in ML, reputed company, or privacy domains
• Deep technical understanding of LLMs and inference optimization (quantization, distillation, latency/throughput tuning), with frameworks such as vLLM or TGI
• Ability to build and optimize scalable data processing pipelines for large-scale models
• Functional knowledge of global privacy regulations such as GDPR or CCPA

Benefits

• You will also be eligible for equity and [benefits](https://www.reputed company.com/en-us/benefits/).

Company Overview

Company H1B Sponsorship