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Distillery Engineering Jobs in New York (NOW HIRING)

ExaCare AI

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

This includes quantization, pruning, and knowledge distillation. * Data Lifecycle Management: Lead ... Direct experience with LLMs, including fine‑tuning, prompt engineering, RAG, and efficient ...

Palona AI

AI Modeling Engineer

New York, NY

Design fine-tuning, preference optimization, distillation, or other post-training work when it offers a measurable advantage over simpler methods. * Partner with speech and real-time engineers to ...

Palona AI

AI Modeling Engineer

New York, NY · On-site

Design fine-tuning, preference optimization, distillation, or other post-training work when it offers a measurable advantage over simpler methods. * Partner with speech and real-time engineers to ...

New

CYNET SYSTEMS

AI Engineer

New York, NY · On-site

$55 - $60/hr

Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real ...

Princeton IT Services

Agentic AI Engineer

New York, NY · On-site

Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real ...

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Distillery Engineering information

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 distillery engineering?

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 distillery engineering, 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 New York?

For Distillery Engineering jobs in New York, the most frequently searched job titles are:

What job categories do people searching Distillery Engineering jobs in New York look for?

The top searched job categories for Distillery Engineering jobs in New York are:

Distillery Engineering jobs near you
Infographic showing various Distillery Engineering job openings in New York as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Staff Machine Learning Engineer, Personalization

Spotify

New York, NY • On-site, Remote

$227K - $324K/yr

Other

Medical, Retirement, PTO

Posted 16 days ago

Job description

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.
Surfaces Moments is a ML team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. By combining cutting-edge machine learning, recommendation systems, and product thinking, the team delivers highly relevant, personalized experiences to millions of listeners around the world.
As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. You'll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences that delight users and drive meaningful impact. This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale.
What You'll Do
  • Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
  • Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally.
  • Build content recommendation systems for emerging agentic and AI-powered user experiences.
  • Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches.
  • Partner closely with product managers, engineers, data scientists, and designers to define and execute experimentation strategies.
  • Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.
  • Improve ML platform capabilities, data pipelines, and production systems that support personalization at Spotify scale.
  • Drive technical direction in ambiguous problem spaces and contribute to the long-term architecture of personalization systems.
  • Mentor and support other machine learning engineers, helping raise the bar across the team.

Who You Are
  • You have 8+ years of experience building and deploying machine learning systems in production environments.
  • You have deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.
  • You have strong proficiency in Python and hands-on experience building machine learning systems with PyTorch.
  • You are experienced with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA.
  • You have worked with large-scale inference systems and understand the challenges of latency, reliability, and cost optimization.
  • You care deeply about creating high-quality user experiences through thoughtful application of machine learning.
  • You communicate effectively across technical and non-technical audiences, and you influence technical decisions beyond your immediate team
  • You know how to design, execute, and interpret online experiments and A/B tests to improve user outcomes.
  • You have experience operating distributed machine learning workloads using technologies such as Ray, FSDP, HSDP, or similar frameworks.
  • You are experienced building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms.

Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
  • This team operates within the Eastern Standard time zone for collaboration.

The United States base range for this position is $227,495- $324,993 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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. Find our AI notice here: https://lifeatspotify.com/ai-notice

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