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# Applied AI Scientist

- **Company:** Echo Neurotechnologies Corporation
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Hospital Information Systems, Computer Engineering, Learning Management Systems, Data Files, Design of User Interfaces, Medical Software, Human-Computer Interaction, Python (Programming Language), Machine Learning, Language Modeling, Video Editing, Speech Recognition, Reinforcement Learning, Scripting, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Build Management, Machine Learning Operations, Programming Languages
- **Published:** August 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/applied-ai-scientist-language-context-san-francisco-ca--3cb8aa2c-c0f8-4871-b467-a953171cc524

## About the Role

* Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative field
 * A minimum of 5 years of combined academic and professional ML experience
 * Experience deploying ML models in an industry setting
 * Experience designing, developing, and deploying LM models in an industry setting
 * Experience designing, training, and evaluating transformers
 * Proficiency in Python and PyTorch
 * Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines, * Experience working with reinforcement learning, LLM alignment and safety, and multilingual modeling
 * Experience developing foundation models and applying transfer-learning techniques
 * Experience working with high-dimensional time-series datasets
 * Experience working on medical or clinical applications
 * Experience translating methods described in scientific publications to available datasets
 * Experience working with speech-recognition, video-processing, and application-parsing models, Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Audiovisual, Clinical Information Systems, Computer Engineering, Cross-Functional, Data Science, Data Sets, Dissection, Documentation, GPU (Graphics Processing Unit), Healthcare Software, Information Models, Mathematics, Medical Products, Modeling Languages, Multilingual, Python Programming/Scripting Language, Quality Management, Reinforcement Learning, Research & Development (R&D), Scientific Publications, Speech Recognition, Startup, Team Player, User Interface/Experience (UI/UX), Video Processing

## Description

* Language modeling
 + Leverage a deep understanding of LMs to create custom solutions for brain-computer interface applications, including LLM fine-tuning, customization, and dissection
 + Explore a variety of LM strategies of various scales and complexities for tailored integration into other decoding pipelines
 + Characterize agentic AI tools for suitability in product user interfaces
 * Context modeling
 + Design and build ML pipelines capable of performing flexible, real-time inference with multiple input streams
 + Deploy custom or off-the-shelf state-of-the-art models for parsing audio, video, and application states
 + Perform context engineering to aggregate and model contextual information for use in downstream decoders
 * General ML practices & company standards
 + Model dissection and interpretability to extract information-rich latent representations from large models (e.g. pretrained foundation models) for broad and generalized use in other models
 + Model miniaturization for low-latency and computationally inexpensive processing
 + Work collaboratively and effectively within a small, cross-functional team to hit both R&D and product-focused goals
 + Maintain versioned, clear, and highly documented code, analysis pipelines, and results for maximum interpretability and reproducibility
 + Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products


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