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Distillery Engineering Jobs in California (NOW HIRING)

... engineers working in the distillation and model efficiency space, setting a high technical bar and ... fostering a culture of rigorous experimentation. - Champion best practices for model compression ...

Distillation Lead

San Francisco, CA · On-site

$195K - $286K/yr

... engineers working in the distillation and model efficiency space, setting a high technical bar and ... fostering a culture of rigorous experimentation. - Champion best practices for model compression ...

About the Role We are looking for an On-Device Research Engineer to compress large audio and ... You will own distillation, quantization, and architecture-aware compression as a first-class work ...

On-Device Research Engineer

San Jose, CA · On-site

$120K - $300K/yr

About the Role We are looking for an On-Device Research Engineer to compress large audio and ... You will own distillation, quantization, and architecture-aware compression as a first-class work ...

The Engineering Manager, MLE role involves designing and deploying advanced machine learning models ... distillation, supervised fine-tuning, and policy optimization • Excellent problem-solving and ...

Senior Applied Scientist

San Jose, CA · On-site

$107K - $146K/yr

Required : • Expertise in machine learning algorithms and model distillation techniques • Strong programming skills in Python or similar languages • Experience with AI model training and ...

Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models ...

Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models ...

Senior Applied Scientist

San Jose, CA · On-site

$107K - $146K/yr

Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models ...

Senior Applied Scientist

San Jose, CA · On-site

$107K - $146K/yr

Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models ...

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Distillery Engineering information

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How much do distillery engineering jobs pay per hour?

As of Jul 25, 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 July 2026, with employment types broken down into 13% Internship, 8% As Needed, 28% Full Time, 4% Part Time, 46% Nights, and 1% Summer. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $63,191 per year, or $30.4 per hour.
Engineering Manager, Distillation & Detection Platform

Engineering Manager, Distillation & Detection Platform

OpenAI

San Francisco, CA • On-site

Full-time

Posted 5 days ago


Job description

Job Summary:
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They are seeking an engineering manager to lead a team in building software systems that prevent harmful misuse of AI models and ensure model integrity.
Responsibilities:
• Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents.
• Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact.
• Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage.
• Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale.
• Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence.
• Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed.
• Anticipate what breaks at scale as agentic workflows become more capable.
Qualifications:
Required:
• Experience building systems in adversarial, fast-evolving environments
• Are comfortable with ambiguity and novelty
• Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments)
• Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny.
• Significant experience leading engineering teams and delivering production systems end-to-end.
• Strong technical judgment in system design, distributed systems, data pipelines, observability, and operational reliability.
• Demonstrated ability to partner cross-functionally with Research/Product/Security to ship systems that materially reduce risk or abuse at scale.
• Familiarity with model extraction / distillation, adversarial evaluation, or scalable detection/mitigation approaches
Preferred:
• Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus.
Company:
OpenAI is an AI research and deployment company that develops advanced AI models, including ChatGPT. It is a sub-organization of OpenAI Foundation. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.