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Full Time Llm Researcher Jobs (NOW HIRING)

ML Researcher

San Francisco, CA · On-site

$150K - $300K/yr

San Francisco, CA · On-site · Full-time Compensation: $150,000-$300,000 + 0.5%-1% equity About the Company Our client does LLM interpretability and context-optimization research, building custom ...

Hybrid (3 days onsite) Full-time / Permanent DeepRec has partnered with a high-growth AI company ... The Opportunity You'll join an early Speech LLM team where your work shapes research decisions ...

ML Researcher, Speech

San Francisco, CA · On-site

$200K - $250K/yr

... Full-time / Permanent DeepRec has partnered with a fast-growing, revenue-generating voice AI ... Explore LLM-Audio Understanding * Prepare and manage large audio datasets, and design how models ...

AI Researcher

New York, NY · On-site

$160K - $300K/yr

LLM & Agent Research: Prototype and evaluate prompting strategies, reasoning workflows, and tool ... S. base salary range for this full-time, in-person role in New York is $160,000-$300,000, plus ...

Conduct research and apply cutting-edge technologies to optimize Large Language Models (LLMs) and ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

Conduct research and apply cutting-edge technologies to optimize Large Language Models (LLMs) and ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

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Full Time Llm Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do full time llm researcher jobs pay per year?

As of Jul 27, 2026, the average yearly pay for full time 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 are the key skills and qualifications needed to thrive as a Full Time LLM Researcher, and why are they important?

To thrive as a Full Time LLM Researcher, you need a deep understanding of machine learning, natural language processing, and large language model architectures, often supported by an advanced degree in computer science or a related field. Proficiency with Python, deep learning frameworks (like PyTorch or TensorFlow), and experience using large-scale compute resources are typically required. Strong analytical thinking, problem-solving abilities, and clear communication help researchers articulate findings and collaborate effectively. These skills ensure high-impact research, innovative model development, and effective integration of new technologies into real-world applications.

What does a Full Time LLM Researcher do?

A Full Time LLM Researcher studies and develops large language models (LLMs), such as those used in artificial intelligence and natural language processing applications. Their work often involves designing experiments, training models on large datasets, evaluating model performance, and publishing research findings. They may also collaborate with engineers and data scientists to implement and optimize LLMs for real-world applications. This role typically requires strong programming skills, a background in machine learning, and expertise in natural language processing.

What are some common challenges Full Time LLM Researchers face when collaborating with cross-functional teams?

Full Time LLM Researchers often collaborate with engineers, data scientists, and product managers to deploy and refine language models. A common challenge is communicating complex research findings to non-experts, ensuring alignment between research goals and product requirements. Balancing experimental innovation with practical constraints, such as computational resources and project deadlines, can also be demanding. Effective collaboration requires adaptability, strong communication skills, and the ability to translate theoretical advances into applied solutions.

What is the difference between Full Time Llm Researcher vs Part Time Llm Researcher?

AspectFull Time Llm ResearcherPart Time Llm Researcher
Work HoursTypically 35-40 hours per weekLess than 20 hours per week
Employment StatusFull-time employmentPart-time employment
CredentialsUsually requires an LLM degree, relevant research experienceSame as full-time, but may have more flexible qualifications
Work EnvironmentResearch institutions, law firms, universitiesSimilar environments, with flexible scheduling

Full Time Llm Researchers work full-time hours, often with more responsibilities and consistent schedules, while Part Time Llm Researchers have flexible hours with potentially fewer responsibilities. Both roles typically require an LLM degree and involve research in legal fields, but the full-time position offers more stability and engagement.

More about Full Time Llm Researcher jobs
What cities are hiring for Full Time Llm Researcher jobs? Cities with the most Full Time Llm Researcher job openings:
What are the most commonly searched types of Llm Researcher jobs? The most popular types of Llm Researcher jobs are:
What states have the most Full Time Llm Researcher jobs? States with the most job openings for Full Time Llm Researcher jobs include:
Infographic showing various Full Time Llm Researcher job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

ML Researcher

David Joseph & Company

San Francisco, CA • On-site

$150K - $300K/yr

Full-time

Posted 9 days ago


Job description

San Francisco, CA · On-site · Full-time Compensation: $150,000–$300,000 + 0.5%–1% equity

About the Company

Our client does LLM interpretability and context-optimization research, building custom machine-learning models that analyze and compress token contexts before they reach the underlying model. The result is roughly a 50% inference-cost reduction, lower latency, and measurably higher accuracy for the enterprises and scale-ups integrating LLMs into their products. About seven months old, it already serves roughly 1,000 customers and is well-backed by top-tier investors and notable operators.

Founded 2025 · 1–10 people (Seed) · Industry: AI Tools

The Role

As an ML Researcher, you own a slice of one of the most interesting open problems in applied AI: figuring out what information inside an LLM context actually matters, and how to represent it more efficiently. A high-autonomy, high-output role for someone who wants to run a large volume of experiments, reproduce papers, and see their research ship into a production system used by real customers.

Tech stack: Transformers, custom model-training loops (data + architecture + training + evals), NVIDIA B200s and large-scale GPU clusters, eval infrastructure.

Requirements
  • Prioritizes production impact over publication metrics
  • Owns the model-training stack end to end — data, architecture, training, evaluation, and shipping
  • Has trained models from scratch with genuine end-to-end ownership
  • Strong ML fundamentals — transformers, mechanistic interpretability, LLM research
  • A high-agency, self-directed, experiment-driven researcher (not RAG- or chatbot-only)
  • A spiky profile — exceptional pre-career achievement in competitions, research, or founding
  • On-site in SF at high intensity in a hacker-house environment
Nice to Haves
  • Pretrained a transformer model
  • Serious post-training or RL experience on transformers
  • Built a novel architecture or training method with results
  • Shipped trained models into production systems
  • Experience in research labs, startups, or scale-ups
  • Exceptional early-career achievement
Why Join
  • Research that ships: success is measured by getting a model into a product used by ~1,000 customers, not by publications
  • Own a frontier problem end to end: full ownership of a slice of LLM context compression and mechanistic interpretability
  • High autonomy: every researcher directs their own agenda with minimal structure, reporting to the founder
  • Serious backing and pedigree, plus real compute (NVIDIA B200s and large-scale GPU clusters)
  • Everything covered: SF housing, food, laundry and cleaning, healthcare and dental, significant equity, visa sponsorship, and company off-sites
Details
  • Location — San Francisco, CA
  • Work policy — On-site, high intensity
  • Compensation — $150,000–$300,000 + 0.5%–1% equity
  • Visa sponsorship — Available (H-1B, O-1, OPT)
  • Employment type — Full-time