Applied AI Scientist, Language + Context
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Before you apply
SalaryNo pay range posted
LocationSF Office, San Francisco
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentMachine Learning
EquityIncluded
Company size51–200 people
PostedJul 17, 2026 · 3mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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
Equal Opportunity Employer (EOE)
May be asked to sign an NDA after initial stages of interview process
Skills
Python
PyTorch
GPUs
Benefits
Competitive compensation
Stock options
Comprehensive benefits
401(k)
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.
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.
PRIMARY ROLE AND RESPONSIBILITIES
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Language modeling
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Leverage a deep understanding of LMs to create custom solutions for brain-computer interface applications, including LLM fine-tuning, customization, and dissection
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Explore a variety of LM strategies of various scales and complexities for tailored integration into other decoding pipelines
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Characterize agentic AI tools for suitability in product user interfaces
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Context modeling
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Design and build ML pipelines capable of performing flexible, real-time inference with multiple input streams
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Deploy custom or off-the-shelf state-of-the-art models for parsing audio, video, and application states
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Perform context engineering to aggregate and model contextual information for use in downstream decoders
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General ML practices & company standards
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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
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Model miniaturization for low-latency and computationally inexpensive processing
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Work collaboratively and effectively within a small, cross-functional team to hit both R&D and product-focused goals
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Maintain versioned, clear, and highly documented code, analysis pipelines, and results for maximum interpretability and reproducibility
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Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products
QUALIFICATIONS
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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
OTHER QUALIFICATIONS
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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
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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.
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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.
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