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Director Llm Training Jobs (NOW HIRING)

Bright Vision Technologies

LLM Prompt Specialist

$100K - $150K/yr

LLM Prompt Specialist Location: 100% Remote (United States) Position Type: Full-time, Direct W2 ... This commitment extends to all aspects of employment, including recruitment, hiring, training ...

Sciforium

GPU Kernel Engineer

San Francisco, CA · On-site

$190K - $250K/yr

Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from ... Experience working with large-scale LLM workloads (training or inference). Nice-to-Haves

KBR, Inc.

AI Systems Engineer

Chantilly, VA · On-site

$152K - $190K/yr

... and directing successful prototypes into robust, production-ready enterprise tools ... Exceptional ability to translate highly technical AI concepts-such as LLM training methodologies ...

KBR

AI Systems Engineer

Chantilly, VA · On-site

$152K - $190K/yr

... and directing successful prototypes into robust, production-ready enterprise tools ... Exceptional ability to translate highly technical AI concepts-such as LLM training methodologies ...

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How much do director llm training jobs pay per year?

As of Aug 9, 2026, the average yearly pay for director llm training in the United States is $186,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $249,500.00 per year, depending on experience, location, and employer.
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Director Llm Training jobs near you
Infographic showing various Director Llm Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $186,382 per year, or $89.6 per hour.

Machine Learning Systems Engineer, Siri Agent Modeling

Apple Inc.

Cupertino, CA • On-site

$150.40 - $277.60/hr

Other

Medical, Dental, Retirement

Re-posted 21 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Machine Learning Systems Engineer, Siri Agent Modeling

Cupertino, California, United States Software and Services

Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by Apple Intelligenc… with capabilities like personal context understanding and on‑screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.

Description

As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross‑functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple’s custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams. You will write production‑level code to train and deploy models that will impact Apple’s customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors.

Minimum Qualifications
  • Experience in model lifecycle of training, evaluation, and deployment of models
  • Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop
  • Strong proficiency in Python and ML framework such as PyTorch
  • Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience
  • Experience with agentic AI‑assisted coding
Preferred Qualifications
  • Collaborative with experience working in large inter‑teams projects
  • Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding
  • Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism
  • Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron‑LM.
  • Experience in optimizing LLM models and deploying LLM models
  • Proficiency in a compiled programming language (e.g. Swift, C/C++, Java)
Compensation

At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Benefits

Apple employees also have the opportunity to become Apple shareholders through discretionary employee stock programs. Employees are eligible for restricted stock unit awards and can purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan.

Your benefits include 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.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Equal Opportunity and Accessibility

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You will find that idea reflected in everything here — in our culture, benefits, and digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants.

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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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