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Entry Level Llm Researcher Jobs (NOW HIRING)

Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques ... The work is highly collaborative and spans quantitative research, software engineering, and machine ...

Psychometrician

Durham, NC · On-site

$80K - $95K/yr

  • Medical

  • Retirement

  • PTO

... field * Entry-level candidates and recent graduates with relevant coursework, research, or ... LLM implementations in test development and psychometrics * 0 - 1 years of experience in ...

Psychometrician

Durham, NC · Remote

$80K - $95K/yr

  • Medical

  • Retirement

  • PTO

... field * Entry-level candidates and recent graduates with relevant coursework, research, or ... LLM implementations in test development and psychometrics * 0 - 1 years of experience in ...

Psychometrician

Durham, NC · On-site

$80K - $95K/yr

  • Medical

  • Retirement

  • PTO

... field * Entry-level candidates and recent graduates with relevant coursework, research, or ... LLM implementations in test development and psychometrics * 0 - 1 years of experience in ...

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques ... The work is highly collaborative and spans quantitative research, software engineering, and machine ...

Showing results 21-40

Entry Level Llm Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do entry level llm researcher jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entry level llm researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is an entry level LLM researcher?

An Entry Level LLM Researcher is someone who assists in the development and analysis of large language models (LLMs) such as GPT, BERT, or similar AI systems. These researchers typically work under the guidance of more experienced scientists to gather data, run experiments, and evaluate model performance. They may also contribute to literature reviews, help with dataset curation, and support the implementation of research prototypes. This role is ideal for individuals with a background in computer science, machine learning, or related fields who are looking to gain hands-on experience in state-of-the-art AI research.

What are the key skills and qualifications needed to thrive as an entry level LLM researcher?

To thrive as an Entry Level LLM Researcher, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree. Familiarity with programming languages (such as Python), deep learning frameworks (like PyTorch or TensorFlow), and version control systems is typically required. Critical thinking, curiosity, and the ability to collaborate effectively are important soft skills in this position. These skills and qualities are essential to contribute to cutting-edge research, solve complex problems, and work efficiently within research teams.

What are some common challenges faced by entry level LLM researchers when working on large language model projects?

Entry-level LLM researchers often encounter challenges such as understanding complex machine learning concepts, keeping pace with rapidly evolving research, and managing large datasets. They may also need to learn new frameworks and tools for model training and evaluation, as well as collaborate with more experienced researchers and engineers. Additionally, balancing independent research with team-driven goals and deadlines can require strong organizational and communication skills.

What is the difference between Entry Level Llm Researcher vs Legal Research Assistant?

AspectEntry Level Llm ResearcherLegal Research Assistant
Required CredentialsLLM degree or in progressTypically a bachelor's degree, some may have paralegal certification
Work EnvironmentAcademic, law firms, research institutionsLaw firms, corporate legal departments, government agencies
Employer & Industry UsageLegal research, policy analysis, academic projectsLegal support, case preparation, legal documentation

While both roles involve legal research, an Entry Level Llm Researcher usually holds an advanced law degree and focuses on in-depth legal analysis or academic projects. A Legal Research Assistant typically has a bachelor's degree and supports attorneys with case-related research and administrative tasks. The roles differ mainly in educational requirements and scope of responsibilities, but both are essential in legal and academic settings.

More about Entry Level Llm Researcher jobs

What cities are hiring for Entry Level Llm Researcher jobs?

Cities with the most Entry Level Llm Researcher job openings:

What are the most commonly searched types of Llm Researcher jobs?

The most popular types of Llm Researcher jobs are:

Infographic showing various Entry Level Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Machine Learning Engineer Graduate (Commercial AI-CRM and Transaction) - 2027 Start

TikTok

San Jose, CA • On-site

$128K - $256K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

106th of 244 rated software companies


Job description

Responsibilities
The Commercial AI-CRM and Transaction team focuses on TikTok advertiser growth algorithms. Leveraging deep learning and large language model technologies, the team builds an algorithmic system for advertiser growth, optimizes the operational efficiency of global commercial platforms, and empowers sustainable long-term business revenue growth. The team is exploring a new paradigm of enterprise intelligence in the era of large models, building next-generation intelligent Agent systems for customer growth, sales operations, and business decision-making. The team is committed to the innovative application of LLM, Agent, multimodal intelligence, and machine learning technologies in real-world business scenarios, driving the evolution of AI from an "assistant tool" into an intelligent partner capable of understanding business, developing strategies, and executing tasks. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: - Explore Enterprise-level Intelligent Agent Technologies: Research LLM Agent technologies, including complex reasoning, task planning, knowledge augmentation, long-term memory, and autonomous decision-making. Build intelligent systems capable of understanding business objectives, completing complex tasks, and continuously optimizing. - Intelligent Dialogue and AI Call Technologies: Explore next-generation intelligent interaction technologies, including real-time speech, multi-turn dialogue, intent understanding, and dialogue strategy generation. Build AI Sales Agents with natural communication capabilities to improve customer engagement and conversion efficiency. - Intelligent Decision-Making and Risk Management: Combine customer data, business knowledge, and machine learning models to explore customer risk identification, credit limit estimation, and intelligent decision-making capabilities. Help businesses achieve a balance between growth and risk management. - Intelligent Customer Understanding and Business Insights: Leverage LLM and machine learning technologies to understand customer industries, brands, business status, and organizational relationships. Build intelligent customer profiles, identify customer needs and potential business opportunities, and enhance customer management capabilities.
Qualifications
Minimum Qualifications: - Individuals who are completing or have recently completed a Master's degree in Computer Science, Artificial Intelligence, Natural Language Processing, or a related technical discipline. - Familiarity with at least one mainstream Agent framework (e.g., LangGraph, OpenClaw, Hermes, Codex, Claude Code, etc.) with hands-on experience. - Deep understanding of the core principles of Large Language Models (LLMs) and AI Agents. Familiarity with mainstream Agent architectures (e.g., ReAct/PlanAct), Multi-Agent systems, and concepts such as Context Engineering and Memory. - Solid AI/ML background with in-depth knowledge of post-training techniques such as SFT and RLHF. - Excellent coding skills with strong fundamentals in data structures and algorithms. Proficiency in C/C++ or Python. - Strong teamwork, collaboration, and communication skills. Preferred Qualifications: - Practical experience in fine-tuning model capabilities for specific tasks is preferred.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $128000 - $256000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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