Verve, Inc.
Cambridge, Massachusetts
Job DescriptionJob Description Verve is building a world-class team to commercialize wearable solutions that empower the way people move in the world. Our first product is a lightweight, connected wearable system that can be worn all day, every day by industry associates to improve worker safety, and experience. Verve is growing and launching partnerships with some of the leading companies in the world to augment and protect their workforce and we have the unique potential to change the lives of millions of workers. Verve is dedicated to building a diverse team of individuals who are committed to contributing to an inclusive environment and value respect for all, serving the greater good, and welcoming individuals from a wide range of backgrounds, experiences, and perspectives. Role Design and execute field data collection campaigns - define sensor configurations, sampling protocols, and labeling procedures to build high-quality training datasets from real warehouse environments Design experiments to evaluate model performance, isolate variables, and validate hypotheses across diverse worker populations and facility layouts Build and maintain ML pipelines that process multi-modal sensor data (IMU, accelerometer, load cell, video) into actionable classifications and metrics Engineer discriminative features from time-series sensor signals and evaluate models using rigorous holdout protocols (e.g., leave-one-subject-out cross-validation) Develop calibration and normalization strategies that generalize across workers, devices, and deployment conditions without per-user tuning Translate raw sensor streams into worker safety and productivity metrics, delivered through reports and dashboards for facility operators Work closely with hardware and product teams to understand sensor capabilities and constraints, and feed findings back into product requirements Document experiments, results, and design decisions to build institutional knowledge as the team scales You BSc in Computer Science, Electrical Engineering, Biomedical Engineering, Robotics, or equivalent Understanding of signal processing, time-series analysis, and supervised classification techniques Experience with Python data/ML stack: scikit-learn or similar, pandas, NumPy, and at least one framework such as PyTorch, LightGBM, or XGBoost 5+ years of experience in applied machine learning, sensor data analysis, or quantitative engineering Ability to communicate and analyze test results to a broader team Experience in the use of analysis/measurement tools such as statistical hypothesis testing, cross-validation frameworks, and experiment tracking Experience designing data collection protocols and managing real-world labeled datasets is a plus Experience with wearable sensors, IMU data, or human activity recognition is a plus Experience in embedded systems / robotics / sensing / IOT is a plus Experience working in start-up environments building and scaling products and services is a plus We offer: Competitive salary and stock options. Generous premium coverage for medical and dental insurance. Unlimited PTO The opportunity to make an immediate impact in a fast-growing start-up and industry. Wear robots at work! This is an in-office role, though we are flexible on WFH and most people work remotely one or two days per week. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Feeling uneasy that you haven't ticked every box? That's okay, we've felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day. Powered by JazzHR 1hYodh8ucy
Job DescriptionJob Description Verve is building a world-class team to commercialize wearable solutions that empower the way people move in the world. Our first product is a lightweight, connected wearable system that can be worn all day, every day by industry associates to improve worker safety, and experience. Verve is growing and launching partnerships with some of the leading companies in the world to augment and protect their workforce and we have the unique potential to change the lives of millions of workers. Verve is dedicated to building a diverse team of individuals who are committed to contributing to an inclusive environment and value respect for all, serving the greater good, and welcoming individuals from a wide range of backgrounds, experiences, and perspectives. Role Design and execute field data collection campaigns - define sensor configurations, sampling protocols, and labeling procedures to build high-quality training datasets from real warehouse environments Design experiments to evaluate model performance, isolate variables, and validate hypotheses across diverse worker populations and facility layouts Build and maintain ML pipelines that process multi-modal sensor data (IMU, accelerometer, load cell, video) into actionable classifications and metrics Engineer discriminative features from time-series sensor signals and evaluate models using rigorous holdout protocols (e.g., leave-one-subject-out cross-validation) Develop calibration and normalization strategies that generalize across workers, devices, and deployment conditions without per-user tuning Translate raw sensor streams into worker safety and productivity metrics, delivered through reports and dashboards for facility operators Work closely with hardware and product teams to understand sensor capabilities and constraints, and feed findings back into product requirements Document experiments, results, and design decisions to build institutional knowledge as the team scales You BSc in Computer Science, Electrical Engineering, Biomedical Engineering, Robotics, or equivalent Understanding of signal processing, time-series analysis, and supervised classification techniques Experience with Python data/ML stack: scikit-learn or similar, pandas, NumPy, and at least one framework such as PyTorch, LightGBM, or XGBoost 5+ years of experience in applied machine learning, sensor data analysis, or quantitative engineering Ability to communicate and analyze test results to a broader team Experience in the use of analysis/measurement tools such as statistical hypothesis testing, cross-validation frameworks, and experiment tracking Experience designing data collection protocols and managing real-world labeled datasets is a plus Experience with wearable sensors, IMU data, or human activity recognition is a plus Experience in embedded systems / robotics / sensing / IOT is a plus Experience working in start-up environments building and scaling products and services is a plus We offer: Competitive salary and stock options. Generous premium coverage for medical and dental insurance. Unlimited PTO The opportunity to make an immediate impact in a fast-growing start-up and industry. Wear robots at work! This is an in-office role, though we are flexible on WFH and most people work remotely one or two days per week. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Feeling uneasy that you haven't ticked every box? That's okay, we've felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day. Powered by JazzHR 1hYodh8ucy
Verve, Inc.
Cambridge, Massachusetts
Job DescriptionJob Description Verve is building a world-class team to commercialize wearable solutions that empower the way people move in the world. Our first product is a lightweight, connected wearable system that can be worn all day, every day by industry associates to improve worker safety, and experience. Verve is growing and launching partnerships with some of the leading companies in the world to augment and protect their workforce and we have the unique potential to change the lives of millions of workers. Verve is dedicated to building a diverse team of individuals who are committed to contributing to an inclusive environment and value respect for all, serving the greater good, and welcoming individuals from a wide range of backgrounds, experiences, and perspectives. Role Work with product management & design engineering to develop test plans based on system/software specifications, requirements, and conops Work with project management to develop and execute software product release schedules Execute developed test plans using a combination of manual and automated system & subsystem testing Develop new tests and capabilities within the QA function Continuously improve testing methodologies, tools, and processes to enhance efficiency and effectiveness. Provide clear, thorough, and accurate reporting of test results, highlighting any issues discovered during testing. Collaborate with design engineers to identify root causes and resolve performance issues Help to institute and improve engineering best practices using industry experience following a quality-driven stage gate process Mentor and develop more-junior quality engineers You 5-10 years of experience as an SQA or software systems engineer for complex network-enabled IoT hardware devices and web applications Proficient in scripting languages such as python, golang, bash Proficient with monitoring and test tools such as Mezmo, Postman, and Metabase Experience using AWS services including S3, Lambda, RDS, Amplify Experience with software QA automation, building software test automation infrastructure & processes Experience with bug tracking systems such as Jira, Bugzilla, etc Experience working with engineering and product teams to capture, triage, and review bug reports Experience mentoring other QA engineers Familiar with hardware V&V testing Solid analytical skills, strong attention to detail, and communication/presentation skills Proficiency in test development, including creating test plans, test cases and test scripts. Strong troubleshooting and problem solving skills. We offer: Competitive salary and stock options. Generous premium coverage for medical and dental insurance. Unlimited PTO The opportunity to make an immediate impact in a fast-growing start-up and industry. Wear robots at work! This is an in-office role, though we are flexible on WFH and most people work remotely one or two days per week. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Not sure if you meet every single requirement? That's fine! Everything is a balance, and more of one experience can make up for less of another. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day. Powered by JazzHR eh3OLucaOE
Job DescriptionJob Description Verve is building a world-class team to commercialize wearable solutions that empower the way people move in the world. Our first product is a lightweight, connected wearable system that can be worn all day, every day by industry associates to improve worker safety, and experience. Verve is growing and launching partnerships with some of the leading companies in the world to augment and protect their workforce and we have the unique potential to change the lives of millions of workers. Verve is dedicated to building a diverse team of individuals who are committed to contributing to an inclusive environment and value respect for all, serving the greater good, and welcoming individuals from a wide range of backgrounds, experiences, and perspectives. Role Work with product management & design engineering to develop test plans based on system/software specifications, requirements, and conops Work with project management to develop and execute software product release schedules Execute developed test plans using a combination of manual and automated system & subsystem testing Develop new tests and capabilities within the QA function Continuously improve testing methodologies, tools, and processes to enhance efficiency and effectiveness. Provide clear, thorough, and accurate reporting of test results, highlighting any issues discovered during testing. Collaborate with design engineers to identify root causes and resolve performance issues Help to institute and improve engineering best practices using industry experience following a quality-driven stage gate process Mentor and develop more-junior quality engineers You 5-10 years of experience as an SQA or software systems engineer for complex network-enabled IoT hardware devices and web applications Proficient in scripting languages such as python, golang, bash Proficient with monitoring and test tools such as Mezmo, Postman, and Metabase Experience using AWS services including S3, Lambda, RDS, Amplify Experience with software QA automation, building software test automation infrastructure & processes Experience with bug tracking systems such as Jira, Bugzilla, etc Experience working with engineering and product teams to capture, triage, and review bug reports Experience mentoring other QA engineers Familiar with hardware V&V testing Solid analytical skills, strong attention to detail, and communication/presentation skills Proficiency in test development, including creating test plans, test cases and test scripts. Strong troubleshooting and problem solving skills. We offer: Competitive salary and stock options. Generous premium coverage for medical and dental insurance. Unlimited PTO The opportunity to make an immediate impact in a fast-growing start-up and industry. Wear robots at work! This is an in-office role, though we are flexible on WFH and most people work remotely one or two days per week. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Not sure if you meet every single requirement? That's fine! Everything is a balance, and more of one experience can make up for less of another. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day. Powered by JazzHR eh3OLucaOE