Entry Level Data Privacy Specialist Jobs
New grad data privacy specialist jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship in compliance, cybersecurity, or data governance can matter more than a long resume. Most openings are on-site roles across Technology & Software, Electronics & Hardware, and Artificial Intelligence, with employers like NVIDIA, Hinge, and OneTrust hiring at this level now.
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Showing 5 of 6+ Entry Level Data Privacy Specialist jobs
INTRODUCTION
NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large language models. We are looking for a Senior Scientist to join our team and help advance our capabilities in generating synthetic data and privacy-preserving AI. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem that enable high-quality synthetic data generation and data privacy at scale, including context-aware anonymization. This role combines hands-on software engineering with applied research in LLMs and privacy-enhancing methods, and you will collaborate with research, engineering, product teams, and external labs.
ROLE AND RESPONSIBILITIES
Build LLM-based methods for synthetic data generation, 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 real time.
Design and maintain open-source libraries and SDKs with clean APIs and strong documentation.
Drive software excellence with modern tooling, architecture based on configuration, and professional Git/CI-CD.
Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership.
Mentor interns and junior researchers to develop technical growth within the team.
BASIC QUALIFICATIONS
PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
A research background of 2+ years in applied LLM/NLP research and engineering, synthetic data generation, anonymization and PII detection, or related 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.
PREFERRED QUALIFICATIONS
Active contributions to open-source projects, particularly in ML, security, 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 14, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2019462
INTRODUCTION
NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large language models. We are looking for a Senior Scientist to join our team and help advance our capabilities in generating synthetic data and privacy-preserving AI. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem that enable high-quality synthetic data generation and data privacy at scale, including context-aware anonymization. This role combines hands-on software engineering with applied research in LLMs and privacy-enhancing methods, and you will collaborate with research, engineering, product teams, and external labs.
ROLE AND RESPONSIBILITIES
Build LLM-based methods for synthetic data generation, 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 real time.
Design and maintain open-source libraries and SDKs with clean APIs and strong documentation.
Drive software excellence with modern tooling, architecture based on configuration, and professional Git/CI-CD.
Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership.
Mentor interns and junior researchers to develop technical growth within the team.
BASIC QUALIFICATIONS
PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
A research background of 2+ years in applied LLM/NLP research and engineering, synthetic data generation, anonymization and PII detection, or related 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.
PREFERRED QUALIFICATIONS
Active contributions to open-source projects, particularly in ML, security, 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 14, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2019462
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Entry Level Data Privacy Specialist Jobs: Frequently Asked Questions
How do I get an entry level data privacy specialist job?
Entry level data privacy specialist employers look for familiarity with privacy regulations like GDPR and CCPA, along with any hands-on experience from internships, coursework, or self-directed projects. A portfolio showing you can conduct a data mapping exercise or draft a privacy notice gives you a concrete edge. Certifications such as CIPP/US or a Foundations of Privacy certificate signal seriousness to hiring managers at this stage.
Which companies hire entry level data privacy specialists?
Companies hiring entry level data privacy specialists right now include NVIDIA, Hinge, and OneTrust, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a broad mix of employers, including healthcare systems, financial services firms, technology companies, and large retailers that face significant regulatory compliance obligations and need junior support to scale their privacy programs.
Are there remote entry level data privacy specialist jobs?
Yes, remote and hybrid opportunities exist at this level, though on-site roles remain common. About 33% of entry level data privacy specialist openings are remote or hybrid as of July 2026, reflecting how many organizations treat privacy work as compatible with distributed teams. Filtering by work setting when you search lets you focus on the format that fits your situation.
Are these new grad data privacy specialist jobs?
Yes, these listings include new grad, recent graduate, and junior data privacy specialist roles. A posting is new-grad friendly when it welcomes zero to two years of experience, counts internships or academic projects toward the requirement, or accepts a portfolio in place of full-time history. If a listing mentions entry level, associate, or junior in the title or description, it is written for candidates at the start of their career.
Which industries hire the most entry level data privacy specialists?
Entry Level data privacy specialist roles concentrate in Technology & Software, Electronics & Hardware, and Artificial Intelligence, based on current listings on Migrate Mate as of July 2026. Those sectors face heavy regulatory scrutiny around how personal data is collected, stored, and shared, which creates consistent demand for junior privacy professionals who can support audits, assessments, and policy documentation even without years of prior experience.