About this opportunity
Echo Neurotechnologies lists this Senior ML Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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-\u2010edge 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-\u2010stage environment offers the opportunity to take ownership of broad decisions with significant and long-\u2010lasting impact. We emphasize continuous learning and growth, fostering cross-\u2010functional collaboration where your contributions are vital to our success.
Job Description
We are seeking an experienced Senior Machine-\u2010Learning (ML) Engineer to join our growingteam. The person who fills this role will apply ML principles and practices to large datasetsof time-\u2010series data and associated metadata to create decoding models and discover new
insights, all as part of a larger goal to empower individuals with severe physical disabilitiesto control a computer and communicate effectively with others.
Key Responsibilities
Design and create state-of-the-art ML models for translating time-\u2010series data into control signals for a computer and for communication
Perform feature engineering on existing and future data to discover richer representations of the datasets
Ensure robustness of the decoding models and pipeline for product deployment in real-\u2010world scenarios
Incorporate existing advanced AI tools (e.g. LLMs) into research workflows
Assist in designing cloud-\u2010based ML systems and data structures for large-\u2010scale operational pipelines and data-\u2010science platforms
Working collaboratively within a small team to address ML needs of the products, including assisting in the integration of ML models into product applications
Working independently to achieve ML milestones in a timely fashion without being micro-\u2010managed
Follow proper coding practices to create and maintain reproducible, clear, and highly documented code Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products
Ideal Candidate
Has extensive experience and can demonstrate proficiency in ML applications, particularly those involving time-\u2010series data
Has worked on projects related to medical or clinical applications
Is highly motivated to work on fast-\u2010paced projects that will positively impact patient quality of life
Can communicate clearly and effectively and enjoys working closely as part of a small team
Required Qualifications
Bachelor’s or Master’s degree in Math, Engineering, Data Science, or other relevant quantitative fields
Minimum of 5 years of combined academic and professional ML experience
Proficiency in Python and either tensorflow or pytorch (pytorch is preferred)
Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines
Preferred Qualifications
PhD in a relevant quantitative field
Both academic and industry ML experience
Publication history in ML-\u2010related academic projects
Experience working with time-\u2010series data from human participants or other physiological time-\u2010series data
Salary
$170,000—$220,000 USD
What We Offer
An opportunity to work on exciting, cutting-\u2010edge 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.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.