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Distillery Internships Jobs (NOW HIRING)

Optimize task-specific LLMs for low-latency, high-throughput inference (distillation, quantization ... Mentor interns and junior researchers to develop technical growth within the team. What we need to ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Responsibilities : • Research and develop cutting edge RL and distillation techniques for ... Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ...

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Distillery Internships information

What are the key skills and qualifications needed to thrive as a Distillery Intern, and why are they important?

To thrive as a Distillery Intern, you need a basic understanding of chemistry or food science, attention to detail, and a keen interest in the beverage industry, often supported by relevant coursework or experience. Familiarity with laboratory equipment, fermentation processes, and safety protocols is typically expected, and some positions may require knowledge of data recording or specific distillation software. Strong teamwork, communication skills, and a willingness to learn help you stand out in this hands-on, collaborative environment. These skills ensure product quality, adherence to safety standards, and effective support of production teams in a dynamic distillery setting.

What types of hands-on experience can I expect during a distillery internship?

As a distillery intern, you can expect to gain hands-on experience in various aspects of spirit production, such as fermentation, distillation, quality control, and bottling. You may assist in monitoring fermentation tanks, learning about raw ingredient selection, maintaining equipment, and supporting daily operations alongside experienced distillers. Interns often collaborate with both production and quality assurance teams, which provides a comprehensive understanding of the entire process. This immersive experience is valuable for those considering a long-term career in the beverage or spirits industry.

What are distillery internships?

Distillery internships are temporary positions offered by distilleries to students or aspiring professionals who want to gain hands-on experience in the spirits industry. Interns typically assist with various tasks such as production, bottling, quality control, and sometimes marketing or event support. These internships provide practical knowledge of the distillation process, exposure to industry standards, and networking opportunities. They can be an important stepping stone for those interested in a career in beverage production or spirits management.

What is the difference between Distillery Internships vs Distillery Assistant?

AspectDistillery InternshipsDistillery Assistant
Required CredentialsHigh school diploma or ongoing college education, some technical knowledgeHigh school diploma, relevant experience preferred
Work EnvironmentHands-on, educational setting within distilleries, often seasonalFull-time or part-time work in distillery operations
Employer & Industry UsageInternships offered by distilleries for training and educationEntry-level role assisting with production and maintenance

Distillery Internships are primarily educational opportunities for students or individuals seeking industry experience, often seasonal and focused on learning. In contrast, Distillery Assistants are entry-level employees involved in daily production tasks, requiring some experience but offering more hands-on work. Both roles are essential in the distillery industry but serve different purposes in career development and operational support.

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Infographic showing various Distillery Internships job openings in the United States as of July 2026, with employment types broken down into 79% Internship, 4% As Needed, 13% Full Time, 3% Part Time, and 1% Summer. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution.
Senior Scientist, Synthetic Data and Privacy

Senior Scientist, Synthetic Data and Privacy

Nvidia

On-site

Full-time

Re-posted yesterday


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

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.

What you'll be doing:

  • 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • 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.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us. If you are creative, autonomous, and passionate about building open-source tools that make AI safer and more private, we want to hear from you.

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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993