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Remote Distillery Jobs (NOW HIRING)

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Contribute to model distillation, optimization, and fine-tuning efforts to improve performance ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

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Remote Distillery information

What is a remote distillery?

A Remote Distillery job typically involves managing distillation processes, quality control, or business operations remotely. This can include tasks such as overseeing production data, coordinating supply chains, ensuring regulatory compliance, or handling sales and marketing efforts. While hands-on distilling requires physical presence, remote roles often focus on digital monitoring, administration, or consulting. Advances in automation and IoT make it easier to oversee some aspects of distillation from afar.

What does a typical workday look like for a remote distillery professional?

A typical workday for a Remote Distillery professional involves monitoring and controlling distillation processes using specialized software and sensor data, ensuring product quality and compliance with safety standards. You’ll likely collaborate with on-site technicians and quality assurance teams through virtual meetings, provide troubleshooting support, and analyze operational data to optimize output. Documentation and reporting are also key parts of the job, as is staying up to date with industry regulations and best practices. The remote aspect means a strong focus on proactive communication and accountability to maintain seamless operation of the distilling facility.

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

To thrive as a Remote Distiller, you need comprehensive knowledge of distillation processes, chemistry, and quality control, typically acquired through a degree in food science, chemistry, or related fields, plus relevant industry experience. Familiarity with remote monitoring tools, automated distillation systems, and regulatory compliance software is essential for managing operations not on-site. Self-motivation, strong problem-solving abilities, and effective remote communication are standout soft skills in this position. These competencies are crucial for ensuring product quality, maintaining compliance, and ensuring smooth operations when managing distillation processes from a distance.

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What are the most commonly searched types of Distillery jobs?

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What states have the most Remote Distillery jobs?

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Remote Distillery jobs near you
Infographic showing various Remote Distillery job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution.

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 9 days ago

Job description

Company Description
Job Description
Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home
As Machine Learning Technical Lead, you own the execution layer of intelligence. You will translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You will be responsible for making models trainable, deployable, observable, and performant under real-world constraints. This position is 100% Remote.
Machine Learning Technical Lead Responsibilities:
- Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
- Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
- Architect and operate scalable inference systems, balancing latency, cost, and reliability.
- Design and maintain data systems for high-quality synthetic and real-world training data.
- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.
- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
- Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.
- Make pragmatic trade-offs and ship improvements quickly, learning from real usage.
- Work under real production constraints: latency, cost, reliability, and safety
Machine Learning Technical Lead Outcomes:
- Research and models reliably translate into production-ready solutions with clear performance and quality targets.
- ML pipelines, training loops, and inference systems are stable, efficient, and maintainable.
- Production issues are detected, debugged, and resolved quickly, minimizing user impact.
- Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction.
- Iterations on models and systems are measurable, safe, and improve user experience over time.
Qualifications
Machine Learning Technical Lead Qualifications:
- Experience building or shipping real Machine Learning systems used by people, not just demos.
- Artificial Intelligence (AI) experience required.
- Experience working with large models and understanding their failure modes.
- Experience writing strong, production-grade code.
- You are self-directed, pragmatic, and take full ownership of outcomes.
- You communicate clearly and collaborate well in small, high-trust teams.
- Tech Stack: GPU-based training and inference system, JAX, Python, and PyTorch.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Machine Learning Technical Lead, AI, Artificial Intelligence, Distillation, DPO, GPU Optimization, JAX, LoRA, Machine Learning, Python, PyTorch, QLoRA, SFT, Technical Lead, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire a Machine Learning Technical Lead in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Machine Learning Technical Leads for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Additional Information
Please check out all of our jobs at www.ginastechjobs.com.

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