Senior Applied AI/ML Scientist

This is a fully remote position, open to applicants in Colorado, +1 more state.

📋 Description

• Explore the latest advancements in LLM and MLM models, assessing and comparing their accuracy and efficiency for our specific use cases.

• Create tools and processes for developing data pipelines that facilitate ML training and customization.

• Fine-tune LLMs tailored for the healthcare sector.

• Assist in the development and implementation of machine learning (ML) solutions that utilize our customized models in areas such as Document Understanding, Search and QnA, GenAI, Virtual Agents, and more.

• Engage throughout the entire lifecycle of ML model development, covering problem definition, data exploration, feature engineering, model training, validation, and deployment.

• Take part in code reviews, testing, and quality assurance activities.

• Diagnose and resolve technical challenges associated with AI models, as well as integration, deployment, and backend services.

• Document and convey research and development processes along with architectural decisions.

• Maintain the security and compliance of healthcare data in accordance with HIPAA regulations.

⛳️ Requirements

• A Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative discipline.

• A PhD in AI, Machine Learning, or Computer Science is preferred.

• At least 4 years of industry experience with a strong emphasis on applied AI/ML research and development.

• A solid understanding of Object-Oriented Programming, Design Patterns, efficient algorithms, and high-quality software development practices.

• Comprehensive knowledge of Machine Learning principles, including Deep Neural Networks, Transformer-based LLMs and MLMs, Boosted or standard decision trees, RAG, etc.

• Strong proficiency in Python and familiarity with ML libraries such as PyTorch.

• Experience in training autoregressive language models (pre-training, fine-tuning, RLHF, post-training) such as LLaMA, GPT-x, Mistral, etc.

• Familiarity with open-source LLM platforms and training stacks (e.g., HuggingFace, Deepspeed, etc.).

• Experience with ML platforms like AWS Sagemaker, Azure ML, Databricks, etc.

• Excellent problem-solving abilities, meticulous attention to detail, and a strong logical thinking capacity.

• A passion for customer satisfaction, innovation, and product quality.

• Capability to collaborate across various disciplines in a dynamic, fast-paced startup environment.

• Proficient written communication skills that facilitate collaboration in a remote setting.

• Background in healthcare or life sciences is an advantage.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development opportunities

• Stock options

• Wellness programs