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Distillery Engineering Jobs in California (NOW HIRING)

Machine Learning Engineer The Integrity team at OpenAI is dedicated to ensuring that our cutting ... Are familiar with methods of training and fine-tuning large language models, such as distillation ...

The Process Engineering Manager leads a team of talented, highly skilled, and diverse Process ... Distillation, Coking, Reforming, Hydrotreating, Fluid Catalytic Cracking, etc...). * Actively ...

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Distillery Engineering information

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$16

$30

$43

How much do distillery engineering jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for distillery engineering in California is $30.38, according to ZipRecruiter salary data. Most workers in this role earn between $23.51 and $35.58 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals in distillery engineering roles?

Distillery engineers often work with complex systems where even minor production issues can impact product quality, yield, and safety, so troubleshooting and quick decision-making are daily challenges. The role frequently involves coordinating with cross-functional teams—including operators, quality control specialists, and maintenance crews—to implement process improvements and ensure seamless production. Additionally, engineers must stay current with evolving regulations and sustainability practices, which can add layers of complexity to project management. Embracing these challenges is key to driving innovation and maintaining high standards in the distilling industry.

What is a Distillery Engineering job?

A Distillery Engineering job involves designing, maintaining, and optimizing the equipment and processes used in alcohol production. Engineers in this field work with fermentation, distillation, and bottling systems to ensure efficiency, safety, and product quality. They may also focus on energy efficiency, automation, and regulatory compliance. This role requires expertise in mechanical, chemical, or process engineering, along with a strong understanding of brewing and distillation principles.

What are the key skills and qualifications needed to thrive in the Distillery Engineering position, and why are they important?

To thrive in Distillery Engineering, a strong background in chemical, mechanical, or process engineering with knowledge of distillation processes and safety regulations is essential. Familiarity with process control systems, automation software, quality assurance practices, and relevant industry certifications like OSHA or Six Sigma is highly valued. Excellent problem-solving abilities, teamwork, and clear communication are important soft skills for this role. These skills ensure efficient, safe, and innovative operations in the production of distilled spirits, supporting both quality and regulatory compliance.

What are popular job titles related to Distillery Engineering jobs in California? For Distillery Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Distillery Engineering jobs in California look for? The top searched job categories for Distillery Engineering jobs in California are:
Infographic showing various Distillery Engineering job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $63,191 per year, or $30.4 per hour.

Synthetic Data Engineer (AI Data/Training)

Hyphen Connect Limited

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Posted 9 days ago


Job description

We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of data processing and model training within the organization.
Responsibilities:
  • Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting.
  • Implement automated quality scoring and de-duplication systems.
  • Manage data pipelines that feed directly into SFT and DPO training loops.

Qualifications:
  • Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
  • Deep knowledge of prompt engineering for data generation.
  • Familiarity with dataset distillation and bias mitigation.