Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We are seeking an experienced Applied AI Scientist to apply ML & AI principles to large datasets of time-series data and associated metadata. The goal is to create powerful encoding and decoding models to interpret brain activity, driving scientific discovery and product implementations for patients with physical disabilities.

Responsibilities

• Model brain data and associated metadata to obtain insights and implement high-performance inference and translation pipelines.
• Design and create state-of-the-art transformers and other ML models to decode brain signals into control signals for digital devices.
• Keep up with the latest AI techniques and assess their relevance and utility, including with prototypical evaluations.
• Collaborate within a small team to explore and iterate on models, design data-science platforms, and integrate ML models into product applications.
• Maintain versioned, clear, and highly documented code, analysis pipelines, and results for reproducibility.
• Contribute to documentation for a Quality Management System relevant to ML implementations in medical products.

Requirements

• 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 designing, developing, and deploying ML models in an industry setting with large-scale, distributed ML platforms.
• Experience designing, training, and evaluating transformers.
• Experience working with high-dimensional time-series data, state-space models, or foundation models.
• Proficiency in Python and PyTorch.
• Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines.
• Experience working on medical or clinical applications.
• Experience translating methods described in scientific publications to available datasets.

Skills

• Python
• PyTorch
• Machine Learning
• Artificial Intelligence
• Transformers
• Time-series data analysis
• State-space models
• Foundation models
• GPU acceleration

Location

• Remote

Work Type

• Full-time

Experience Level

• 5+ years of ML experience

Education Level

• Bachelor's or Master's degree

Salary/Compensations

• $190,000 - $240,000 USD

Benefits

• Competitive compensation
• Stock options
• Comprehensive benefits package
• 401(k) program with matching contributions

About the Company

• 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.
• 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.

Equal Opportunity

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