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How much do llm graduate jobs pay per year?

As of Sep 7, 2026, the average yearly pay for llm graduate in the United States is $75,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $102,500.00 per year, depending on experience, location, and employer.

What is an LLM graduate?

An LLM Graduate job refers to positions available to individuals who have completed a Master of Laws (LLM) degree. These roles often include legal research, academic teaching, corporate counsel positions, or specialized legal advisory roles in law firms, government, and international organizations. The specific job opportunities depend on the graduate’s specialization, experience, and jurisdiction. Many LLM graduates pursue careers in areas like international law, human rights, taxation, or intellectual property.

What types of career paths are typically available for LLM graduates after completing their degree?

LLM Graduates commonly pursue roles such as legal associates, in-house counsel, compliance officers, or subject matter specialists in law firms, corporations, or public sector organizations. Many also leverage their advanced expertise to work in academia, pursue further research, or transition into policy advising and international organizations. The LLM can also enhance eligibility for bar exams in certain jurisdictions, broadening opportunities for legal practice. Graduates often join collaborative legal teams and may specialize in areas like tax, intellectual property, international law, or human rights, setting the stage for a dynamic and rewarding legal career.

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

To thrive as an LLM Graduate, you should possess strong legal research, analysis, and writing skills, usually supported by an LLM degree from a recognized institution. Familiarity with legal databases such as LexisNexis or Westlaw and, in some jurisdictions, bar admission or additional certifications can be valuable. Excellent communication, critical thinking, and cross-cultural competence are standout soft skills for this role. These qualities are essential for effectively interpreting complex legal issues, advising clients, and advancing within diverse legal environments.

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Llm Graduate jobs near you
Infographic showing various Llm Graduate job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $75,121 per year, or $36.1 per hour.

Machine Learning Engineer Perception LLM/VLM (PhD, New Grad)

Waymo

San Diego, CA

Full-time

Re-posted 18 days ago

Job description

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

You will:

  • Design, implement, and optimize large-scale continual pre-training pipelines for cutting-edge VLM foundation models.
  • Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g., visual data from different sensors) into existing models.
  • Develop and rigorously evaluate metrics and methodologies for measuring the performance, and transferability of continually pre-trained foundation models in the context of autonomous driving.
  • Stay current with the latest advancements in large language models, vision-language models, and continual learning, and translate relevant research into production-ready systems.

You have:

  • 5+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models).
  • Proven expertise in LLM/VLM pre-training, continual learning with large scale datasets.
  • Strong coding proficiency in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch).
  • Hands-on experience with model training, evaluation, and deployment in a production environment.
  • Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.

We prefer:

  • Experience in fine-tuning foundation models for autonomous driving or robotics applications
  • Familiarity with large-scale data curation and quality assurance processes for multimodal datasets.
  • Background in autonomous vehicle perception, motion planning, or decision-making systems.
  • Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV).
  • PhD in a relevant field.


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