--- title: "Senior Machine Learning Engineer" company: "Echo" company_url: "https://www.remjobs.works/companies/echo" url: "https://www.remjobs.works/job/echo-senior-machine-learning-engineer-73625673-e59c-4faa-8ac9-93213b84bdf3" apply_url: "https://job-boards.greenhouse.io/echo/jobs/4368052009" workplace: onsite location: "San Francisco" employment_type: unspecified seniority: senior role: ai-machine-learning region: united-states skills: ["cpp", "docker", "python", "pytorch"] date_posted: 2026-08-19T20:48:14.000Z first_seen_by_remjobs: 2026-09-04T18:42:43.818Z --- # Senior Machine Learning Engineer **Echo** · San Francisco Apply: https://job-boards.greenhouse.io/echo/jobs/4368052009 ## About Echo Echo helps B2B founders know exactly what to say during a sales call to win the business, including how to respond to any objections that come up. We do this by generating a personalized sales playbook based on best practices and providing an intuitive interface for following its guidelines in real time. ## About the role #### 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 Description 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. #### Role Qualifications ##### Required Qualifications - 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. ##### Preferred Qualifications - 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. #### Salary$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 All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process. --- Source: Echo's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/echo-senior-machine-learning-engineer-73625673-e59c-4faa-8ac9-93213b84bdf3