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Distillery Jobs in Washington, DC (NOW HIRING)

Dev Technology

Audio AI Engineer

Reston, VA

$80K - $160K/yr

Fine-tune and compress large ASR models (using LoRA/QLoRA, quantization, distillation, or other parameter-efficient and size-reduction techniques as appropriate) to fit iPhone-class memory, latency ...

Dev Technology

Audio AI Engineer

Reston, VA

$80K - $160K/yr

Fine-tune and compress large ASR models (using LoRA/QLoRA, quantization, distillation, or other parameter-efficient and size-reduction techniques as appropriate) to fit iPhone-class memory, latency ...

Dev Technology

Audio AI Engineer

Reston, VA · On-site

$80K - $160K/yr

Fine-tune and compress large ASR models (using LoRA/QLoRA, quantization, distillation, or other parameter-efficient and size-reduction techniques as appropriate) to fit iPhone-class memory, latency ...

Dev Technology Group

Audio AI Engineer

Washington, DC · On-site

$80K - $160K/yr

Fine-tune and compress large ASR models (using LoRA/QLoRA, quantization, distillation, or other parameter-efficient and size-reduction techniques as appropriate) to fit iPhone-class memory, latency ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

Booz Allen Hamilton

Lead AI/ML Engineer

Ashburn, VA · On-site

$104K - $138K/yr

Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

Booz Allen Hamilton

AI/ML Engineer, Lead

Ashburn, VA

$104K - $138K/yr

Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

Booz Allen Hamilton

AI/ML Engineer, Lead

Ashburn, VA · On-site

$129 - $292/hr

Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site

$104K - $138K/yr

Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

Murlarkey Distillery

General Manager I

Dulles, VA · On-site

$54K - $62K/yr

With a career at HMSHost, you really benefit! We Offer * Health, dental and vision insurance * Generous paid time off (vacation, flex or sick) * Holiday pay * Meal and Transportation Benefits ...

Murlarkey Distillery

Server

Dulles, VA · On-site

With a career at HMSHost, you really benefit! We Offer * Health, dental and vision insurance * Generous paid time off (vacation, flex or sick) * Holiday pay * Meal and Transportation Benefits ...

Murlarkey Distillery

Bartender

Dulles, VA · On-site

With a career at HMSHost, you really benefit! We Offer * Health, dental and vision insurance * Generous paid time off (vacation, flex or sick) * Holiday pay * Meal and Transportation Benefits ...

Murlarkey Distillery

Shift Manager

Dulles, VA · On-site

$20.91 - $25.55/hr

With a career at HMSHost, you really benefit! We Offer * Health, dental and vision insurance * Generous paid time off (vacation, flex or sick) * Holiday pay * Meal and Transportation Benefits ...

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All JobsDistillery JobsDistillery Jobs in Washington, DC

Distillery information

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How much do distillery jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for distillery in Washington, DC is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $23.85 per hour, depending on experience, location, and employer.

What is a distillery?

A distillery is a facility where alcoholic beverages such as whiskey, vodka, rum, or gin are produced through the process of distillation. Distillation involves heating a fermented liquid to separate alcohol from water and other components, resulting in a higher concentration of alcohol. Distilleries can range from small craft operations to large-scale industrial plants, and they often include areas for fermentation, distillation, aging, and bottling. Many distilleries also offer tours and tastings to educate visitors about the production process and the history of their spirits.

What are distillery jobs?

Distillery jobs focus on brewing, bottling, and shipping alcohol. As a distiller, you may use your knowledge of the craft to create unique drinks, support the production of brand-name products, or generally ensure that distilling operations continue as intended. Many parts of the brewing process must occur on a short deadline, so distillers occasionally work unusual hours when producing specialty products. Some distilleries focus on specific products, such as whiskey, while others create a wider selection of products. Outside of creating alcoholic drinks, can also find work as an engineer who maintains the machines, a driver who transports products to and from the distillery, or a manager who oversees daily operations.

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

To thrive as a Distillery Worker, you need knowledge of brewing and distillation processes, attention to detail, and often a background in food science or chemistry. Familiarity with fermentation tanks, stills, quality testing equipment, and safety protocols is typically required. Strong teamwork, problem-solving skills, and the ability to follow precise instructions set outstanding workers apart. These skills ensure the production of high-quality spirits, maintain safety and compliance standards, and support efficient operations.

What are some common challenges faced by distillery operators, and how can they be addressed?

Distillery operators often encounter challenges such as maintaining consistent product quality, adhering to strict safety and sanitation standards, and troubleshooting equipment malfunctions. Addressing these issues requires strong attention to detail, regular equipment maintenance, and a solid understanding of the distillation process. Collaboration with quality control teams and ongoing training in best practices can help operators stay ahead of potential problems and ensure smooth, efficient production.

What is the difference between Distillery vs Brewer?

AspectDistilleryBrewer
CredentialsDistillation certification, alcohol licensingBrewing certification, fermentation knowledge
Work EnvironmentDistillation facilities, production floorsBrewpubs, breweries, production lines
Industry UsageSpirit production (whiskey, vodka, rum)Beer production (lager, ale, stout)
Common Search/ComparisonDistillery jobsBrewer jobs

While both roles involve beverage production, a distillery focuses on creating spirits through distillation, requiring specific licenses and expertise in alcohol separation. A brewer specializes in brewing beer through fermentation, with skills centered around brewing processes. Both roles are essential in the alcohol industry but differ in techniques, equipment, and end products.

How to start working at a distillery?

To start working at a distillery, gain relevant experience in beverage production or hospitality, and consider obtaining certifications such as a responsible beverage service license if required. Entry-level positions often require physical stamina, attention to detail, and knowledge of safety protocols; applying directly or through industry job boards can help find opportunities.
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For Distillery jobs in Washington, DC, the most frequently searched job titles are:

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Distillery jobs near you
Infographic showing various Distillery job openings in Washington, DC as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $44,146 per year, or $21.2 per hour.

Product Manager, AI/ML & Foundation Models (R4991)

Shield AI

Washington, DC • On-site

Full-time

Re-posted just now

Job description

Job Summary:
Shield AI is a venture-backed defense technology company focused on protecting service members and civilians with intelligent systems. The Product Manager role involves driving the strategy and execution of Shield AI's next-generation autonomy intelligence stack, focusing on foundation and domain models that power resilient autonomy at the edge. This position requires collaboration across multiple teams to deliver tooling for sovereign autonomy, AI factories at the edge, and continuous learning, supporting the company's strategic direction.
Responsibilities:
• Own the roadmap for foundation model training workflows, including dataset ingestion, curation, labeling, synthetic data generation, domain model training, and distillation pipelines.
• Define requirements for world models, robotics models, and VLA-based training, evaluation, and specialization.
• Lead the evolution of MLOps capabilities in Forge, including data lineage, experiment tracking, model versioning, and scalable evaluation suites.
• Define product requirements for synthetic data generation, simulation-integrated data flywheels, and automated scenario generation.
• Partner with Digital Twin, Simulation, and autonomy teams to convert natural-language mission inputs into data needs, training procedures, and model variants.
• Lead the development of model governance and auditability tooling, including model cards, dataset rights, lineage tracking, safety gates, and compliance evidence.
• Build guardrails and workflows to safely deploy models onto edge hardware in disconnected, GPS- or comms-denied environments.
• Partner with Safety, Certification, Cyber, and Engineering teams to ensure traceability and evaluation pipelines meet operational and accreditation requirements.
• Partner with Pilot, EdgeOS, and hardware teams to integrate foundation-model-based perception and reasoning into autonomy behaviors.
• Define requirements for distillation, quantization, and inference tooling as part of the “three-computer” development and deployment model.
• Ensure closed-loop workflows between cloud model training and edge-native execution.
• Collaborate with Engineering, Research, Product, Customer Engagement, and Solutions teams to ensure model outputs meet mission and platform constraints.
• Translate advanced AI capabilities into intuitive workflows that platform OEMs and partner nations can use to build sovereign AI factories.
• Sequence foundational capabilities that unblock autonomy, simulation, and customer-facing product teams.
• Develop deep empathy for ML engineers, autonomy developers, and Solutions engineers who rely on the platform.
• Capture operational data gaps, mission-driven model needs, and domain-specific specialization requirements.
• Lead demos and onboarding for model-development capabilities across internal and external teams.
Qualifications:
Required:
• 7+ years of experience in product management or highly technical ML/AI product roles.
• 2+ years of experience in a hands-on software development role.
• Strong engineering background (Computer Science, Electrical Engineering, Robotics, or related field).
• Deep understanding of foundation models, robotics models, multimodal models, MLOps, and training infrastructure.
• Experience managing complex products spanning data pipelines, cloud training clusters, model governance, and edge deployments.
• Proven success partnering with research teams to transition ML innovations into stable, production-grade workflows.
• Familiarity with simulation-based data generation and large-scale data management.
• Excellent communicator with strong cross-functional leadership skills.
Preferred:
• Experience working on autonomy, robotics, embedded AI, or mission-critical systems.
• Hands-on familiarity with GPU infrastructure, distributed training, or data lakehouse architectures.
• Experience supporting defense, dual-use, or safety-critical AI systems.
• Background designing or operating AI Factory–style pipelines (data → training → evaluation → distillation → edge deployment).
• Advanced degree in engineering, ML/AI, robotics, or a related field.
Company:
Shield AI is a deep-tech company that focuses on developing AI-powered systems to enhance the safety of service members and civilians. Founded in 2015, the company is headquartered in San Diego, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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