Applied AI Scientist, Language + Context

Echo Neurotechnologies; San Francisco (CA); Vor Ort; USD 150.000 - 210.000; Vollzeit

Benefits dieser Stelle

Competitive compensation, including stock options

Comprehensive benefits package

401(k) program with matching contributions

Zusammenfassung

An innovative tech startup in San Francisco seeks an experienced Applied AI Scientist. The role involves developing language and context models for brain-computer interfaces to improve the lives of individuals with disabilities. Ideal candidates will have at least 5 years of experience in ML, proficiency in Python and PyTorch, and a relevant degree. Join a dynamic, collaborative team passionate about enhancing technology for social good while enjoying competitive compensation and benefits.

Qualifikationen

• 5 years of combined academic and professional ML experience.
• Experience in industry settings with ML model deployment.
• Experience with language modeling and transformers.
• Experience designing, developing, and deploying LM models in industry.
• Experience designing, training, and evaluating transformers.
• Proficiency in Python and PyTorch.
• Proficiency in using GPUs to accelerate ML pipelines.

Aufgaben

• Develop flexible language and context models for brain-computer interfaces.
• Design ML pipelines for real-time inference.
• Collaborate within a cross-functional team.

Kenntnisse

Experience deploying ML models

Proficiency in Python

Proficiency in PyTorch

Experience designing transformers

GPU acceleration

Ausbildung

Bachelor's or Master's degree in Math, Engineering, Data Science

Tools

GPUs and GPU software toolkits

Jobbeschreibung

Company Overview

Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting‑edge technologies that restore autonomy to people living with disabilities and improve their quality of life.

Team Culture

Join a small, dedicated team of knowledgeable and motivated professionals. Our early‑stage environment offers the opportunity to take ownership of broad decisions with significant and long‑lasting impact. We emphasize continuous learning and growth, fostering cross‑functional collaboration where your contributions are vital to our success.

Job Summary

We are seeking an experienced Applied AI Scientist, with a focus on language & context modeling, to join our team. The person who fills this role will apply ML/AI principles and practices to designing, developing, fine‑tuning, personalizing, and miniaturizing flexible language and context models for use within brain‑computer interface applications to have real‑world impact on patients with physical disabilities.

Key Responsibilities

• 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

Required Qualifications

• 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

Preferred Qualifications

• 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

What We Offer

• An opportunity to work on exciting, cutting‑edge projects to transform patients’ lives in a highly collaborative work environment.

• Competitive compensation, including stock options.

• Comprehensive benefits package.

• 401(k) program with matching contributions.

Equal Opportunity Employer

Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.

Confidentiality

All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.