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Llm Jobs (NOW HIRING)

Experience with LLM and LMM development and fine-tuning.Experience applying ML techniques in manufacturing, testing, or hardware optimization.Proficiency in using cutting-edge GenAI tools, i.e.

The AI/LLM Engineer will lead the design and implementation of advanced systems centered on large language models, collaborating closely with teams to integrate AI capabilities into internal tools ...

Machine Learning Engineer - LLM 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 ...

Multimodal LLM Researcher (MLLM) About the Role At Pika, we are pioneering next-generation creative infrastructure built around real-time, multimodal generation and intelligent, agentic platforms. We ...

Experience with LLM and LMM development and fine-tuning. Experience applying ML techniques in manufacturing, testing, or hardware optimization. Proficiency in using cutting-edge GenAI tools, i.e.

Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration, and prevent regression via CI/CD. * Deploy RAG systems and MCP servers to more effectively ground ...

Multimodal LLM Researcher (MLLM) About the Role At Pika, we are pioneering next-generation creative infrastructure built around real-time, multimodal generation and intelligent, agentic platforms. We ...

ML Engineers - with LLM GenAI (3 Resources) Responsibilities * Write efficient machine learning workflows and pipelines * Training pipeline - Ingest/Preprocess/Vectorize and index data * Inference ...

You'll also help drive our LLM-powered offensive capabilities and act as a technical leader for AI/LLM offense. Essential Functions Attacking AI/LLM Systems * Break AI and agentic systems and ...

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Llm information

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How much do llm jobs pay per year?

As of Jun 11, 2026, the average yearly pay for llm in the United States is $142,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,000.00 and $157,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an LLM (Master of Laws) graduate, and why are they important?

To thrive as an LLM graduate, you need advanced knowledge of legal principles, strong research and analytical skills, and a prior law degree such as an LLB or JD. Familiarity with legal databases, research tools like Westlaw or LexisNexis, and sometimes bar admission or certification in specific jurisdictions is advantageous. Exceptional written and verbal communication, attention to detail, and cross-cultural competence are standout soft skills in this field. These abilities are crucial for interpreting complex legal issues, advising clients, and succeeding in global or specialized legal practice.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership, strategic planning, and extensive experience, and may include stock options or bonuses that contribute to the total compensation package.

What can you do with an LLM degree?

An LLM degree qualifies individuals for advanced legal roles such as legal analyst, compliance officer, or law professor. It can also enhance expertise in specialized areas like international law or intellectual property, often requiring strong research, writing, and analytical skills. The degree may lead to opportunities in law firms, corporate legal departments, or government agencies.

What are LLMs (Large Language Models)?

LLMs, or Large Language Models, are advanced artificial intelligence systems designed to understand and generate human-like text based on vast amounts of data. These models, such as OpenAI's GPT series, are trained on diverse datasets and can perform a range of tasks, including answering questions, writing content, translating languages, and more. LLMs work by predicting the next word in a sequence, allowing them to create coherent and contextually relevant responses. They are widely used in applications like chatbots, virtual assistants, and automated content generation.

What jobs can you do with LLM?

With an LLM (Master of Laws), you can pursue careers in legal practice, such as lawyer, legal advisor, or corporate counsel. It also qualifies you for roles in academia, legal research, compliance, and policy analysis, often requiring strong analytical and research skills.

What job makes $10,000 a month without a degree?

A machine learning engineer or AI specialist can earn $10,000 or more per month through expertise in developing and deploying AI models, often requiring strong programming skills in Python and knowledge of frameworks like TensorFlow or PyTorch. Success in such roles depends on experience, project complexity, and the ability to work independently or in high-demand environments, often without formal degrees but with relevant skills and certifications.

What Is an LL.M.?

A Master of Laws, or LL.M., is an advanced legal degree designed for lawyers or legal scholars who want to demonstrate their expertise in a specific area of law after law school. While a juris doctoris (JD) is the most common degree people receive at law school, an LL.M. is a secondary degree that typically takes an additional year to complete. The LL.M. curriculum includes coursework in U.S., Canadian, and international law, and is meant for an attorney wanting to specialize in a specific area of law. An LL.M. also provides foreign attorneys with the necessary skills and background to practice law in the United States.

What is the difference between Llm vs Paralegal?

AspectLlmParalegal
Required CredentialsLaw degree (JD or equivalent), possibly an LLM for specializationAssociate's degree or certificate in paralegal studies
Work EnvironmentLaw firms, corporate legal departments, academiaLaw firms, corporate legal departments, government agencies
Industry UsageLegal practice, academia, researchLegal support, case preparation, client communication

The main difference is that an Llm is an advanced law degree for specialization or academic purposes, while a paralegal provides legal support and case assistance without being licensed to practice law. Both roles work closely within legal environments, but the Llm is more focused on legal expertise and research, whereas paralegals handle administrative and preparatory tasks.

What are some common challenges faced by professionals working with large language models (LLMs) and how can they be addressed?

Professionals working with large language models often encounter challenges such as managing computational resource demands, ensuring data privacy, and mitigating biases in model outputs. Collaboration with data engineers and IT teams is essential to optimize infrastructure and streamline model deployment. Staying updated on best practices and regulatory guidelines helps address ethical concerns and improve model performance. Continuous monitoring and iteration are key to maintaining accuracy and relevance in real-world applications.
What cities are hiring for Llm jobs? Cities with the most Llm job openings:
What are the most commonly searched types of Llm jobs? The most popular types of Llm jobs are:
What states have the most Llm jobs? States with the most job openings for Llm jobs include:
Machine Learning Engineer - LLM

Machine Learning Engineer - LLM

Apple

Cupertino, CA • On-site

Full-time

Posted 23 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

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. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. ..Join Apple, and help us leave the world better than we found it.
We are seeking a highly capable and dynamic Machine Learning Engineer to work cross-functional in building out a GenAI system in support of Beats and Apple Audio products. The ideal candidate thrives in ambiguity, is exceptionally organized, relentlessly detail-oriented, and an exceptional communicator at all levels of the organization.
3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field.Ability to travel internationally - up to 10%
Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and fine-tuning.Experience applying ML techniques in manufacturing, testing, or hardware optimization.Proficiency in using cutting-edge GenAI tools, i.e. Claude Code, Roo Code, etc.Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale.Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration.Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences.Proven experience in leading and mentoring teams.

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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