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Distillery Job Jobs in California (NOW HIRING)

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Research Scientist - Reality Labs

Sunnyvale, CA

$184K/yr

Proven track record of architecting knowledge distillation (KD) pipelines to compress frontier LLMs into optimized edge models * Experience bringing LLM-based products from research to production

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Distillery Job information

What is a distillery job?

Distillery jobs refer to a range of positions involved in the production of alcoholic spirits such as whiskey, vodka, gin, and rum. These roles can include distillers, mashers, cellar operators, bottling line workers, quality control specialists, and maintenance technicians. Employees in distilleries are responsible for tasks like fermenting ingredients, operating distillation equipment, monitoring quality, and packaging finished products. Distillery jobs often require attention to safety, cleanliness, and adherence to strict production standards.

What are the key skills and qualifications needed to thrive in a distillery job, and why are they important?

To thrive in a Distillery job, you need knowledge of fermentation, distillation processes, and quality control, often supported by experience in food science or relevant certifications. Familiarity with technical tools such as stills, fermentation tanks, and systems for monitoring temperature and pressure is essential. Attention to detail, teamwork, and problem-solving are valuable soft skills in this environment. These competencies ensure safe operations, consistent product quality, and efficient production in a distillery setting.

What are some typical challenges faced by distillery workers, and how can they be addressed?

Distillery workers often encounter challenges such as maintaining safety standards around hazardous materials, ensuring consistent product quality, and managing the physical demands of the job. To address these challenges, employers provide thorough training on safety protocols, offer ergonomic equipment, and encourage teamwork to handle physically intensive tasks. Additionally, regular quality control checks and open communication with supervisors help workers stay on top of production standards and quickly resolve any issues that arise.

What is the difference between Distillery Job vs Brewer?

AspectDistillery JobBrewer
Required CredentialsBasic certifications, sometimes specialized in distillationBrewing certifications or related training
Work EnvironmentDistilleries, often industrial or craft settingsBreweries, similar industrial or craft environments
Industry UsageAlcohol production, spirits manufacturingBeer production, brewing industry
Common Search/ComparisonYesYes

While both roles involve alcohol production, a Distillery Job focuses on spirits like whiskey or vodka, requiring distillation skills. A Brewer specializes in beer brewing, with different equipment and processes. Both roles share similar environments and certifications but serve distinct beverage markets.

What are popular job titles related to Distillery Job jobs in California?

For Distillery Job jobs in California, the most frequently searched job titles are:

What job categories do people searching Distillery Job jobs in California look for?

The top searched job categories for Distillery Job jobs in California are:

What cities in California are hiring for Distillery Job jobs?

Cities in California with the most Distillery Job job openings:

Distillery Job jobs near you
Infographic showing various Distillery Job job openings in California as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Robotics Research Intern - Post-Training

Toyota Research Institute

Los Altos, CA

$45 - $65/hr

Internship

Medical, Dental, Vision, PTO

Posted 16 days ago

Job description

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team across Energy & Materials, Human-Centered AI, Human Interactive Driving, and Robotics.

This is a Fall 2026 paid internship opportunity. Please note that this internship will be a hybrid, in-office role.

The Team

Our team in the Robotics division is developing pretrained generalist policies that can support a broad range of tasks, environments, and robotic systems. A central scientific challenge is determining how these broadly pretrained policies can be efficiently adapted to new target tasks while achieving the reliability, precision, and robustness required for real-world use.

Pretraining can provide a policy with broad behavioral capabilities, but those capabilities may not immediately translate into dependable performance in a specific deployment setting. Effective post-training methods are therefore essential for converting general capabilities into policies that can adapt quickly, learn from limited additional data or interaction, and perform consistently on demanding downstream tasks.

Our research interests include reinforcement learning, imitation learning, human-in-the-loop learning, simulation, world models, policy distillation, and large-scale robot learning. We aim to advance the scientific foundations of policy adaptation while developing methods that may ultimately be evaluated or deployed within internal research projects involving real-world industrial tasks.

The Internship

We are looking for two Research Interns to investigate open research questions in the post-training and adaptation of pretrained generalist robot policies.

Potential research directions include, but are not limited to:

  • Offline-to-online reinforcement learning

  • DAgger, imitation learning, and human-in-the-loop policy improvement

  • Sim-to-real policy distillation and adaptation

  • Policy improvement, planning, or data generation using world models

  • Data-efficient adaptation to new tasks and environments

Internship projects will be scoped according to each intern's research background, interests, and current team priorities. Interns will work closely with researchers and engineers across the Robotics division, with the goal of producing meaningful scientific results and, where appropriate, publications at leading robotics or machine-learning venues.

Qualifications

  • Currently pursuing a Ph.D. in Computer Science, Machine Learning, Robotics, or a related field.

  • Research experience in robot learning, reinforcement learning, imitation learning, generative modeling, world models, or a related area.

  • Interest in open research problems involving large-scale machine learning grounded in physical systems.

  • Proficiency in Python and a deep-learning framework such as PyTorch.

  • Ability to collaborate effectively with researchers and engineers and communicate research findings clearly.

Bonus Qualifications

  • Experience with pretrained generalist policies, foundation models, or large-scale robot-learning systems.

  • Familiarity with offline or online reinforcement learning, DAgger, interactive learning, or human-in-the-loop methods.

  • Experience with simulation, sim-to-real transfer, policy distillation, or robotic manipulation.

  • Experience with learned world models, model-based reinforcement learning, or planning.

  • Publication record or interest in publishing at leading venues such as CoRL, NeurIPS, ICLR, ICML, RSS, ICRA, IROS, or related conferences and journals.

  • Interest in translating fundamental research into reliable methods that can be evaluated on real robotic systems and practical downstream tasks.

The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. 
 
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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