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Llm Training Jobs in Bothell, WA (NOW HIRING)

Nvidia

Senior Software Engineer, AI Networking

Seattle, WA · On-site

$139K - $183K/yr

The role involves working on distributed Deep Learning, particularly within LLM training and inference stacks. A strong passion for collective communication and networking is desirable. The candidate ...

Scale AI

ML Research Engineer, ML Systems

Seattle, WA · On-site

Required : • Strong excitement about system optimization • Experience with multi-node LLM training and inference • Experience with developing large-scale distributed ML systems • Strong ...

Scale AI

ML Research Engineer, ML Systems

Seattle, WA · On-site

Required : • Strong excitement about system optimization • Experience with multi-node LLM training and inference • Experience with developing large-scale distributed ML systems • Strong ...

Scale AI

ML Research Engineer, ML Systems

Seattle, WA · On-site

Required : • Strong excitement about system optimization • Experience with multi-node LLM training and inference • Experience with developing large-scale distributed ML systems • Strong ...

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How much do llm training jobs pay per year?

As of Jun 14, 2026, the average yearly pay for llm training in Bothell, WA is $76,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $94,500.00 per year, depending on experience, location, and employer.

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

To excel in LLM Training, you need a strong background in machine learning, natural language processing (NLP), and computer science, often backed by an advanced degree in a related field. Experience with programming languages such as Python, frameworks like PyTorch or TensorFlow, and familiarity with data annotation tools are essential, along with knowledge of cloud platforms and distributed computing. Strong analytical thinking, effective communication, and the ability to collaborate across interdisciplinary teams set top candidates apart. These skills ensure high-quality model development, efficient project execution, and the ability to adapt to evolving AI technologies.

What types of teams or professionals does an LLM Training specialist typically collaborate with?

Professionals specializing in LLM Training often work closely with data engineers, software developers, domain experts, product managers, and quality assurance analysts. Collaboration is essential for collecting and preprocessing training data, integrating models into products, and ensuring outputs meet business and user requirements. These roles frequently participate in agile project workflows, contribute to cross-functional team meetings, and collaborate on continuous model improvements. Engaging with diverse teams expands your understanding of product goals and helps you deliver robust and reliable language models that align with organizational objectives.

What is an LLM Training job?

An LLM Training job involves developing, fine-tuning, and optimizing large language models (LLMs) to improve their performance and accuracy. This role typically includes data collection, preprocessing, model training, evaluation, and troubleshooting issues related to bias, efficiency, and scalability. Professionals in this field work with machine learning frameworks, large datasets, and computational resources to enhance AI capabilities. They may also collaborate with researchers, engineers, and product teams to deploy models for real-world applications.

What are the most commonly searched types of Llm Training jobs in Bothell, WA? The most popular types of Llm Training jobs in Bothell, WA are:
What job categories do people searching Llm Training jobs in Bothell, WA look for? The top searched job categories for Llm Training jobs in Bothell, WA are:
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Llm Training jobs near you
LLM Machine Learning Research Engineer

LLM Machine Learning Research Engineer

Apple

Seattle, WA

$139K - $258K/yr

Full-time

Medical, Dental, Retirement

Posted 5 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple is seeking a Research Engineer to join our Foundation Model Preparation and Algorithm Team. We are looking for all levels of talent to bring innovative AI research into Apple products.
Description
We are looking for strong ML applied scientists and engineers to build groundbreaking AI infrastructure and algorithms. This infrastructure will power the optimization of Apple Foundation models, including on-device and server Apple Intelligence models. My team is directly responsible for general model capability, use-case-oriented post-training, and also the feature delivery for Apple Intelligence.
You should be a strong scientist and/or engineer who has a background in building state-of-the-art LLMs. Your work will have a direct impact on billions of Apple clients. You will collaborate with world-class talent in LLM training, on-device and server optimization, ML tools/platforms, datasets, and evaluation. You will develop reliable and scalable pipelines and algorithms, such as:Model optimization pipelines, State-of-the-art optimization algorithms, State-of-the-art post-training techniques.
Preferred Qualifications
Publication record at top AI/ML venues.
Experience with LLM LoRA fine-tuning, neural network optimization (e.g., quantization, palettization).
Experience with LLM pre-training or post-training.
Experience with on-device/server scale deployment.
Infrastructure management and debugging experience.
Experimental rigor when training/evaluating LLMs for the purpose of benchmarking LLM optimization algorithms.
Strong communication and accountability skills; a hard-working, strong work ethic, and collaboration abilities.
Ph.D. in a related field.
Minimum Qualifications
Experience developing, optimizing, or training large language models (LLMs), large foundation models, or generative AI models.
Software engineering skills in Python and general-purpose system administration and infrastructure management abilities.
History of applied research in the neural network model life cycle, training, or a related application area.
Experience with languages like Python, C/C++.
Track record of driving scientific investigations and experiments, and overcoming obstacles and uncertainty in a research environment.
BS degree and 3+ years of proven experience.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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Benefits

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Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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