AI Researcher / Data Scientist
A stealth-mode AI startup backed by a team of former AI and infra engineers from leading tech firms is on a mission to improve the reliability of LLM-powered applications. We're looking for an AI Researcher / Data Scientist to help us push the boundaries of model evaluation, fine-tuning, and synthetic data generation. This is a high-impact opportunity to build at the frontier of LLMOps in a fast-paced, remote-first environment.
Role:
π― Develop and implement novel AI algorithms to automate improvements in LLM-powered applications
π§ Train fine-tuned and reward models using large datasets aligned with domain expert preferences
π§ͺ Invent synthetic data generation methods to augment human review and evaluation
π€ Collaborate with engineers and product teams to integrate AI solutions into our core platform
π Stay current with the latest in LLMs β including evaluation frameworks, prompt engineering, and open-source models (DBRX, Mistral, Llama 3, etc.)
π Document methodologies and communicate findings clearly to technical and non-technical audiences
Requirements:
π Masterβs or PhD in Computer Science, Machine Learning, AI, or related field
π Strong programming experience with Python and frameworks like PyTorch or TensorFlow
π§© Solid understanding of NLP and hands-on experience working with large language models
π οΈ Strong problem-solving, analytical, and communication skills
π§ Familiar with git and modern development workflows
π§βπΌ Significant post-academic experience, ideally in applied ML research or production systems
Nice to Have:
π Experience working in early-stage startup environments
π§ͺ Familiarity with LLM evaluation methodologies (e.g., Prometheus, benchmarks)
π Experience debugging, fine-tuning, or training custom LLMs
π οΈ Built or contributed to full ML pipelines in production
π Publications in top AI/ML journals or conferences
βοΈ Familiarity with AWS, GCP, or Azure
π¦ Knowledge of Docker and/or Kubernetes
Benefits:
π° Competitive salary (range: $160,000β$200,000 depending on experience)
π Meaningful equity in a high-growth AI startup
π 100% remote within the U.S.
π οΈ High-autonomy role with room for technical leadership
π» Opportunity to shape foundational systems in the AI toolchain
Skills Keywords:
LLMs, NLP, Deep Learning, PyTorch, TensorFlow, Synthetic Data, AI Evaluation, Prompt Engineering, Model Fine-tuning, ML Research, Python, ML Infrastructure, Git, Distributed Systems, AWS, GCP, Docker, Kubernetes, Prometheus, Reinforcement Learning, RLAIF
Application URL:
https://jobr.pro/job/18435828/ai-researcher-data-scientist