Source Job

Europe

  • Utilize, optimize, and fine-tune existing language models or train new ones for customer-facing applications.
  • Turn successful prototypes into reliable, maintainable, and observable production services.
  • Collaborate with a small, fast-moving team to design systems combining reasoning, tool use, and creative content generation.

Python PyTorch RAG FastAPI

20 jobs similar to LLM Researcher

Jobs ranked by similarity.

Europe 4w PTO

  • Develop, fine-tune, and optimize self-hosted large language models for personalized AI conversations.
  • Work across the full model development lifecycle, from dataset preparation to GPU-based experiments and production deployment.
  • Collaborate with cross-functional teams to enhance conversational quality, memory, and multilingual interactions.

This company builds innovative consumer-facing AI products powered by self-hosted large language models. They operate a remote-first culture across Europe, emphasizing collaboration, continuous learning, and technical excellence.

Global 4w PTO

  • Fine-tune open-weight LLMs using SFT, LoRA/QLoRA, and post-training methods such as DPO and GRPO to shape model behavior for 50M+ users.
  • Diagnose model failures and turn them into experiments, building training data and evals that directly influence production models.
  • Ship to production, speed up the training loop, and collaborate with Product, Web, and DevOps teams.

EverAI is building the world's largest AI companionship platform, redefining relationships for millions. With ~100 people, it's a fully remote, hardworking team with an ownership-driven culture and a track record of scaling products from 0 to IPO.

North America Unlimited PTO

  • Lead exploration and application of Large Language Models and Generative AI into core product lines.
  • Translate the latest research into high-performing systems that enhance customer experiences.
  • Collaborate with cross-functional teams to set strategy and deploy ML solutions with real business impact.

Replicant is the industry leader in voice AI for customer service, providing automated phone bots for enterprises like AAA and Fanatics. Founded in 2017, the company is backed by top-tier Silicon Valley investors, has offices in the SF Bay Area, Toronto, and New York, and maintains a distributed team across the US and Canada.

Asia-Pacific

  • Own the full LLM pipeline from data preparation to production real case usage.
  • Build and maintain RAG QA/search systems and multi-agent LLM architectures for scalable AI solutions.
  • Develop evaluation pipelines and collaborate with cross-functional teams to integrate AI models into chatbots.

Binance is a leading global blockchain ecosystem and the world's largest cryptocurrency exchange by trading volume and registered users. It is trusted by 300+ million users across 100+ countries and maintains a remote-first, flat, results-driven culture.

US

  • Build, train, and evaluate machine learning models, including LLM fine-tuning with supervised and reinforcement learning.
  • Design RL environments, reward functions, and evaluation frameworks; diagnose training issues and document results.
  • Collaborate with domain experts to structure knowledge and present findings clearly.

US Unlimited PTO

  • Monitor and synthesize trends across AI and machine learning research, foundation models, agents, and data enrichment methods.
  • Tinker with emerging models, tools, and datasets to build prototypes and run experiments that turn ideas into evidence.
  • Identify high-leverage opportunities to enrich data assets and translate research into actionable recommendations.

Troveo builds the data platform AI labs need to train next-generation models, with the world's largest licensed platform of scarce, proprietary data. It is a small, high-impact team backed by top investors, focused on transparency and work-life balance.

$270,000–$310,000/yr
Global

  • Research and develop new methods that push the frontier of Speech AI.
  • Improve data quality, build evaluation harnesses, and analyze production model accuracy.
  • Partner with researchers and engineers to turn research prototypes into production-ready systems.

AssemblyAI builds best-in-class Voice AI models powering next-generation voice applications. With under 100 employees, the company is lean, capital-efficient, and meritocratic, giving every team member outsized ownership and impact.

Europe

  • Architect and implement production-ready generative AI and LLM-based solutions within the product suite
  • Design and develop agentic systems, RAG pipelines, and evaluation workflows to automate tasks and improve reliability
  • Collaborate with product, design, and engineering teams to turn complex AI concepts into user-facing features

JUPUS is a fast-growing legal tech company in Europe, building the JUPUS platform to improve productivity for law firms. The culture is flat, fully remote, and fast-moving, with direct access to engineering leadership and a focus on practical AI systems.

Europe

  • Own, debug, and improve production ML pipelines for accuracy and efficiency.
  • Design LLM evals, LLM-as-a-judge systems, datasets, and benchmarks to monitor quality.
  • Run experiments on prompts, models, and pipeline designs to drive improvements into production.

Mimica is an AI-powered process intelligence platform that helps enterprises reclaim time by analyzing workflows and generating AI agents to automate tasks. Backed by $26M in Series B funding and trusted by Fortune 500 companies, the remote-first team spans 16+ countries and values high ownership and transparent communication.

US

  • Build, train, and evaluate machine learning models end to end, from data and experiment design through training and reporting.
  • Design reinforcement learning environments, reward functions, and verifiers, and fine-tune language models using methods like PPO, DPO, and GRPO.
  • Collaborate with domain experts, analyze datasets, and present findings clearly to both technical and non-technical audiences.

EnableComp provides specialty revenue cycle management solutions for healthcare organizations using its unified E360 RCM platform. It is a multi-year Top Workplaces recipient and has been named to the Inc. 5000 list of fastest-growing private companies for eleven years.

US

  • Build and ship LLM-powered applications and AI agent workflows.
  • Design systems for reasoning, planning, memory, tool use, and multi-step execution.
  • Optimize AI systems for quality, latency, and cost, and establish production practices for observability and evaluation.

Gina's Tech Jobs is a technology recruiting firm that connects companies with engineering and IT professionals. They focus on remote and onsite placements, offering personalized recruitment services and career support.

Global

  • Design and build challenging evaluations and executable environments for coding and long-horizon agents.
  • Develop scoring logic and verifiers to detect reward hacks and trace failures through model outputs and harness code.
  • Build and scale RL data pipelines for generating and curating challenging coding and agentic tasks.

Prime Intellect is building the open superintelligence stack, providing infrastructure for post-training frontier AI models and open-source models trained for long-horizon tasks. The company has raised $150M from top investors and is a mission-driven team passionate about accelerating science and AI.

$250,000–$400,000/yr
North America

  • Build and improve pipelines that parse clinical documents into validated, executable modules.
  • Run experiments across open and closed models, fine-tuning, and constrained decoding methods.
  • Work with clinicians to evaluate outputs and turn model failures into system improvements.

They build a compiler that converts clinical standards into verified, traceable decision logic for patient care. This healthtech team combines frontier model research with production engineering to improve clinical decision support.

EMEA

  • Build and optimize LLM-powered features for automated recruiting workflows, improving AI agent performance through prompt engineering and safety guardrails.
  • Design and deliver full-stack features across backend services, Python web apps, and frontend interfaces with enterprise ATS and CRM integrations.
  • Own end-to-end technical delivery, including architecture, code reviews, testing, and production monitoring, while working directly with enterprise clients.

Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams. They partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.

  • Own AI agents and autonomous workflows powered by LLMs from problem framing through production.
  • Build RAG pipelines, set evaluation and guardrail standards, and optimize for cost and scalability.
  • Work directly with client teams to scope problems and deploy AI systems in their environments.

Acceler is a Forward-Deployed Engineer company that takes AI from pilot to production inside client systems. With a practitioner network of nearly 1,000 engineers across the US and India, it's a high-caliber team built on ownership, trust, and rapid learning.

$110,000–$130,000/yr
US

  • Build speech and text pipelines, LLM workflows, and integrations the client runs on.
  • Deploy to the client's cloud, instrument what you ship, and fix what breaks.
  • Write the tests, evals, and docs that keep it working after the engagement ends.

Lunon is an AI-native consulting firm that embeds engineers inside businesses to ship software. The team is young, fast-moving, and owns what they ship end to end, working with the newest tools.

Europe

  • Own LLM and VLM support on Metis and Europa AIPUs, from studying new models to shipping them in the Voyager SDK.
  • Use AI coding agents daily to build, test, and verify your work, combining LLM/VLM knowledge with solid software engineering.
  • Productize results into supported Voyager SDK features with stable APIs, tests, documentation, and release gates.

Axelera AI is a deep-tech company creating the next-generation AI platform to advance humanity and improve the world. They have raised $450M, employ 250+ people (60+ PhDs) across 21 countries, and foster an open, innovative, and inclusive culture.

India

  • Design and build knowledge graphs and AI agents to structure and utilize knowledge.
  • Set technical direction and mentor engineers and data scientists.
  • Collaborate with global teams to turn research into customer features.

Loopio is a software company that builds response management and knowledge management solutions. They are a global, remote-first company with employees across Canada, the UK, the US, and India, known for their supportive culture and award-winning workplace.

Asia

  • Design and execute experiments in reasoning model training, post-training alignment, test-time scaling, and systematic model evaluation for crypto-native applications.
  • Review and synthesize recent academic literature from NeurIPS, ICML, ICLR, and ACL to inform ongoing research directions in reasoning, alignment, and agentic AI.
  • Implement model variants and evaluation protocols using PyTorch and the Hugging Face ecosystem, tracking experiments with Weights & Biases.

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by 300+ million people in 100+ countries, the company has a flat, results-driven culture and focuses on increasing the freedom of money and financial access worldwide.

APAC

  • Design end-to-end LLM evaluation plans for business scenarios such as dialogue and financial trading.
  • Build evaluation metric systems, rubrics, and high-quality datasets with credible, reproducible conclusions.
  • Analyze model limitations, automate evaluation workflows, and collaborate to drive model improvement.

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in more than 100 countries, the company offers a fast-paced, results-driven culture with a flat structure and world-class talent.