Summary by AIEngineer.careers
Senior Applied AI/ML Scientist is a AI Research Scientist role (full-time). with Hotjar. in REMOTE, WORLDWIDE. Compensation shown: $166K–$207K. Imported listing (source: flexgen.zya.me). Apply on the employer's site (flexgen.zya.me).
Imported listing (source: flexgen.zya.me) · Apply on flexgen.zya.me
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Imported job description
Sourced from flexgen.zya.me
Judi Health is looking for a Senior Applied AI/ML Scientist to lead the development of LLM-powered automation for healthcare. The role focuses on fine-tuning multimodal LLMs, building training pipelines, and productionizing ML solutions for document understanding, search, QnA, and conversational AI. This is a remote-friendly, full-time position with a strong emphasis on applied research and scalable software delivery.
Responsibilities
- Investigate and evaluate the latest LLM and multimodal language models for in-domain accuracy and efficiency.
- Develop tools and processes to create data pipelines for ML training and customization.
- Fine-tune LLMs for the healthcare domain.
- Help build and productionize ML solutions for document understanding, search, QnA, GenAI, and virtual agents.
- Own the full ML lifecycle: problem definition, data exploration, feature engineering, model training, validation, and deployment.
- Participate in code reviews, testing, and QA; troubleshoot AI model, integration, deployment, and backend issues.
- Document R&D processes and architectural decisions; ensure healthcare data security and HIPAA compliance.
Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
- Minimum 4 years of industry experience in applied AI/ML research and development.
- Strong grasp of OOP, design patterns, efficient algorithms, and quality software development.
- Solid Machine Learning fundamentals: deep neural networks, transformer-based LLMs/MLMs, decision trees, and RAG.
- Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
- Experience training autoregressive language models (LLaMA, GPT, Mistral) via pre-training, fine-tuning, RLHF, or post-training.
- Experience with open-source LLM platforms and training stacks (Hugging Face, DeepSpeed).
- Experience with ML platforms such as AWS SageMaker, Azure ML, and Databricks.
Nice to Have
- PhD in AI, Machine Learning, or Computer Science.
- Experience in healthcare or life sciences.
Tech Stack
PythonLLMRAGPyTorchRLHFDatabricksDeepSpeedHugging FaceAmazon SageMakerAzure Machine LearningLLaMAMistral
HSan Ġiljan · MT · 123+ employees
Hotjar, now part of Contentsquare, provides an experience intelligence platform offering product experience insights. Its core tools include heatmaps, session recordings, surveys, and feedback to help teams understand user behavior and improve website or app experiences.