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Master Distiller Jobs in Texas (NOW HIRING)

webAI

AI Software Engineer

Austin, TX · On-site

$100 - $140/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Implement techniques like pruning, quantization, and distillation to ensure models run efficiently ... Bachelor's or Master's in Computer Science or Software Engineering. Core Values * Truth:

webAI Inc

AI Research Scientist

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Deep understanding of optimization techniques including quantization, distillation, pruning, and ... Master's or PhD in Machine Learning, Computer Science, AI, or a related field * Experience with ...

Nvidia

Senior Software Engineer - Local AI

Austin, TX

$121K - $160K/yr

... distillation, and pruning-for large AI models; fine-tuning and compressing models to fit edge devices. What We Need to See: * Bachelor's, Master's, or PhD in Computer Science, Software Engineering ...

webAI Inc

AI Software Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Implement techniques like pruning, quantization, and distillation to ensure models run efficiently ... Bachelor's or Master's in Computer Science or Software Engineering. We at webAI are committed to ...

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Showing results 21-40

All JobsMaster Distiller JobsMaster Distiller Jobs in Texas

Master Distiller information

See Texas salary details

$11

$54

$75

How much do master distiller jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for master distiller in Texas is $54.06, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $61.59 per hour, depending on experience, location, and employer.

What are some typical daily responsibilities for a master distiller?

A Master Distiller's daily responsibilities often include overseeing all aspects of spirit production, from selecting raw materials and monitoring fermentation to managing distillation and ensuring product quality. They frequently test samples, adjust recipes, and troubleshoot any issues with equipment or processes. Master Distillers also supervise and train production staff, maintain compliance with safety and industry regulations, and collaborate with product development or marketing teams. This multifaceted role requires a blend of hands-on technical work, leadership, and strategic planning to consistently deliver exceptional products.

What does a master distiller do?

A Master Distiller oversees the production of spirits, ensuring quality, consistency, and innovation in the distillation process. They manage raw ingredient selection, fermentation, distillation, aging, and blending while maintaining compliance with industry regulations. Additionally, they often serve as the face of the brand, engaging in product development, marketing, and public relations.

What are popular job titles related to Master Distiller jobs in Texas? For Master Distiller jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Master Distiller jobs in Texas look for? The top searched job categories for Master Distiller jobs in Texas are:
Master Distiller jobs near you
Infographic showing various Master Distiller job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $112,439 per year, or $54.1 per hour.

ML Features Solutions Engineer

External SambaNova Systems

Austin, TX • On-site

Full-time

Re-posted 10 days ago

Job description

About the Role

We are seeking an ML Features Solutions Engineer to join our Product and Solution Engineering team, driving the development and optimization of core ML features for enterprise deployment. This role combines deep ML expertise with hands-on engineering, working at the intersection of ML research and product development to deliver production-grade capabilities to our customers.

This role is critical for accelerating ML feature development and bridging the gap between ML research and product engineering and will be driving the following:

  • Core ML Feature Development: Drive improvements to ML features including model optimization, inference performance, and feature enhancements.
  • Production-Ready Solutions: Build and deploy production-ready ML solutions for enterprise customers with focus on reliability and scale.
  • Research to Product Bridge: Translate ML research innovations into practical product features and customer-facing capabilities.
  • Cross-Team Collaboration: Work closely with SDK, testing, and customer teams to ensure ML features meet enterprise requirements.
  • Impact: Accelerates ML feature development and optimization, enabling faster time-to-market for new capabilities while ensuring enterprise-grade quality and performance.

Responsibilities

  • Design and implement core ML features including model optimization, quantization, and inference enhancements
  • Optimize model performance for latency, throughput, and memory efficiency on SambaNova hardware
  • Develop and improve features such as Function Calling, Structured Output, and JSON mode conformance
  • Create end-to-end ML solutions that showcase platform capabilities and accelerate customer adoption
  • Convert cutting-edge ML research into practical, deployable product features
  • Establish benchmarks and quality standards for ML features in production environments
  • Work with SDK team to ensure ML features are properly exposed and documented for developers
  • Support enterprise customers implementing advanced ML features in their workflows
  • Partner with ML research, platform engineering, and customer teams

Required Qualifications

  • Master's degree or higher in Computer Science, Machine Learning, Electrical Engineering, or related field
  • 5+ years of industry experience in ML engineering or applied ML research
  • 3+ years of hands-on experience with large language models and transformer architectures
  • Expert proficiency in Python and deep learning frameworks: PyTorch (required), TensorFlow, or JAX
  • Experience with model optimization techniques: quantization, pruning, distillation, efficient inference
  • Strong understanding of LLM inference optimization: KV cache, batching strategies, memory management
  • Experience deploying ML models to production at scale
  • Track record of translating research concepts into production features

Preferred Qualifications

  • PhD in Machine Learning, NLP, or related field
  • Experience with custom hardware acceleration (TPUs, custom ASICs)
  • Hands-on experience with inference frameworks: vLLM, TensorRT-LLM, or similar
  • Experience with function calling and tool use in LLMs
  • Knowledge of structured generation and constrained decoding
  • Experience with ML feature development in enterprise contexts
  • Contributions to open-source ML projects

What We Offer

  • Work on cutting-edge ML features powering the fastest AI inference platform
  • Direct impact on product capabilities used by enterprise customers globally
  • Collaborate with world-class ML researchers and engineers
  • Bay Area location enabling close collaboration with core ML teams
  • Competitive compensation and benefits
  • Opportunity to shape the future of enterprise AI

Apply