Machine Learning Engineer

We are seeking a Senior Machine Learning Engineer to design, scale, and deploy clinical-grade ML algorithms in the cloud. In this high-impact individual contributor role, you will take ownership of translating complex, neurophysiological signals into production-ready predictive models and automated diagnostic features. You will build and deploy cloud-based models, ensuring data is processed with high reliability, low latency, and strict regulatory compliance.

Role Responsibilities

• Algorithm Productionization & Cloud Deployment: Design, build, and deploy scalable ML pipelines and clinical algorithms in the cloud to process real-time and batch neural and contextual data.
• Advanced Model Architecture & Decoding: Design and build state-of-the-art transformers and deep learning models to decode complex neurophysiological signals into real-time control streams for digital devices.
• Model Optimization & Validation: Train, evaluate, and optimize machine learning models for signal processing, feature extraction, and behavior detection while maintaining high sensitivity and specificity.
• Model Deployment & Pipeline Integration: Architect scalable pipelines to deploy and integrate production models into the cloud environment, managing model automated training, data versioning, and performance monitoring.
• Cross-Functional Collaboration: Work closely with data scientists, software & firmware engineers, clinical researchers, and regulatory specialists to translate research-validated algorithms into commercial software features.
• Quality & Regulatory Compliance: Author software design specifications, risk analyses, and validation protocols to support FDA submissions under strict quality management systems.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Biomedical Engineering, or equivalent practical experience.
• 5+ years of software engineering experience focusing on building, deploying, and maintaining production machine learning models in cloud environments.
• Strong proficiency in Python and modern ML frameworks (e.g. PyTorch) along with experience in cloud-native technologies (e.g. Docker).
• Solid foundation in digital signal processing (DSP), time-series analysis, or processing high-dimensional biological/medical sensor data.
• Demonstrated understanding of data privacy, security standards (HIPAA, SOC 2), and medical device software lifecycles (IEC 62304, ISO 13485).
• Excellent communication skills and a track record of driving technical execution independently in a fast-paced environment., * Experience developing Software as a Medical Device (SaMD) or clinical decision support algorithms.
• Hands-on experience with MLOps tools such as Weights & Biases.
• Familiarity with streaming data platforms for real-time sensor processing.
• Experience writing Python/C++ bindings or optimizing cloud algorithm latency for real-time applications.

$170,000 - $220,000 USD

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

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.