Research Intern for Innovative Brain-Computer Interface

About NudgeAt Nudge, we are dedicated to pioneering advanced technology that interfaces with the human brain to enhance lives. Our initial focus is on creating a revolutionary non-invasive, ultrasound-based device designed to stimulate and image the brain with exceptional clarity and depth. This integrated initiative encompasses the development of state-of-the-art hardware, software, and robust research capabilities aimed at delivering transformative products that can positively impact millions — and ultimately billions — of individuals.To achieve our ambitious goals, we are committed to building elite teams across all functions. We seek individuals who excel in their fields, believe in the value of tackling challenging problems, and are relentless in their execution. Our environment fosters the highest standards of rigor and integrity.About the RoleCollaborate with research and engineering teams to conduct high-quality data collection for various studies and R&D experiments.Implement experimental protocols: administer cognitive tasks and gather imaging/physiological data across clinical and non-clinical populations.Oversee participant workflows from start to finish: recruitment, screening, scheduling, and informed consent management.Acquire knowledge in operating neuromodulation and imaging systems, adhere to SOPs, and maintain precise equipment logs.Contribute to documentation processes, perform data quality checks, and assist in analysis to advance neurotechnology development.About YouA minimum of 2 years of relevant research, clinical, or laboratory experience (academic or industry).Bachelor’s degree in a scientific, mathematical, or engineering discipline (including neuroscience, cognitive science, psychology, or computer science), or equivalent experience.Proven track record of significant contributions in previous roles.Excellent interpersonal and communication skills.Experience with data collection and analysis.Demonstrates high integrity in all professional interactions.

Merge Labs is an innovative research facility dedicated to uniting biological systems with artificial intelligence to enhance human capabilities, autonomy, and experiences. We are committed to this aim by creating groundbreaking methods for brain-computer interfaces that allow high-bandwidth interactions with the brain, integrate advanced AI systems, and ensure safety and accessibility for all users.About the TeamOur team at Merge Labs focuses on advanced techniques for brain interfacing at high bandwidth by developing pioneering technologies that merge biomolecular science, physics, neuroscience, and computational methods. The Bio team is responsible for creating our essential molecular technologies, validating their efficacy both in vitro and in vivo, and showcasing their capabilities in animal models. We build custom experimental frameworks, collaborate closely with engineers and data scientists, and engage in creative problem-solving across various disciplines.About the RoleAs a Scientist specializing in In Vivo Molecular Neurotechnology at Merge Labs, you will play a crucial role in advancing molecular biosensors and actuators for brain-computer interface technologies. Your responsibilities will include establishing experimental frameworks to optimize the delivery and functional expression of biomolecules in rodent models, assessing their tolerability and biological impacts, benchmarking their performance in neuroscience paradigms, and generating insights to inform the design of next-generation technologies. You will work collaboratively with molecular engineers, data scientists, and physical engineers to address challenges and innovate solutions. Your contributions will drive breakthroughs in neural interfacing technology, facilitating its clinical applications.Key Responsibilities:Lead and expand in vivo validation pipelines in rodent models for molecular biosensors and actuators, which includes gene delivery methods, surgical workflows, sensory and behavioral paradigms, and ex vivo characterization.Enhance delivery vehicles, administration techniques, and parameters to ensure robust, cell-type specific expression, while quantifying outcomes at both functional and molecular levels.Design and conduct in vivo experiments to evaluate the functional performance of biosensors and actuators in relevant neuroscience contexts.Collaborate with hardware engineers and platform teams to develop and construct custom setups incorporating novel imaging and modulation instruments.

Company OverviewEcho Neurotechnologies is an innovative startup at the forefront of the Brain-Computer Interface (BCI) sector, dedicated to transforming lives through state-of-the-art hardware engineering and artificial intelligence solutions. Our mission is to create advanced technologies that empower individuals with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome a part of a passionate and skilled team of professionals in a dynamic startup environment. At Echo, we encourage ownership of significant decisions and promote a culture of continuous learning and development. Our collaborative atmosphere ensures that your work is impactful and essential to our success.Other Opportunities at EchoIf you're interested in joining our team but don't see a position that fits your skills, we invite you to apply for this role. We will reach out to discuss potential opportunities that align with your expertise.What We OfferEngagement in groundbreaking projects aimed at improving patients' lives within a collaborative work environment.Competitive salary with stock options.Comprehensive benefits package.401(k) plan with matching contributions.Equal Opportunity EmployerEcho Neurotechnologies is proud to be an Equal Opportunity Employer (EOE). We value diversity and are committed to fostering an inclusive workplace for all employees.ConfidentialityWe assure that all applications will be handled with the utmost confidentiality. Candidates may be required to sign a non-disclosure agreement (NDA) after the initial interview stages.

Company OverviewEcho Neurotechnologies is a pioneering startup in the Brain-Computer Interface (BCI) sector, dedicated to advancing the field through innovative hardware engineering and artificial intelligence solutions. Our mission is to develop state-of-the-art technologies that empower individuals with disabilities, enhancing their independence and quality of life.Team CultureBecome part of a close-knit team of passionate and skilled professionals. Our startup environment encourages ownership of impactful decisions and fosters a culture of continuous learning and growth. Here, your contributions are essential to our collective success.Position OverviewIn the role of Firmware Engineer, you will be tasked with creating high-quality, reliable, and scalable firmware for Echo’s medical devices. You will significantly contribute to the development of our inaugural BCI device, participating in critical decision-making processes that affect firmware, software, and electronics. Your involvement will span the entire product life cycle, from gathering product requirements to developing firmware that meets those specifications, and ultimately overseeing the testing, verification, and validation processes.

Company OverviewEcho Neurotechnologies is a pioneering startup in the Brain-Computer Interface (BCI) sector, committed to transforming lives through state-of-the-art hardware engineering and artificial intelligence solutions. Our vision is to develop innovative technologies that empower individuals with disabilities, enhancing their independence and overall quality of life.Team CultureBecome part of a small, passionate team of experts who are dedicated to making a meaningful impact. In our dynamic startup atmosphere, you will have the chance to influence critical decisions that lead to significant, lasting changes. We prioritize continuous learning and development, encouraging collaboration across functions where your ideas and contributions are essential for our collective success.Summary: We are on the lookout for a Senior Mechanical Engineer to spearhead New Product Introduction (NPI) initiatives for our cutting-edge hardware. This role will act as a vital link between our Design and Manufacturing teams, ensuring that custom hardware components and assemblies are produced in alignment with our design objectives.Primary Role and ResponsibilitiesCollaborate with R&D to enhance the manufacturability and reliability of parts and assemblies from prototype through to large-scale production.Create and refine CAD models, 2D drawings, and tolerance stack-up analyses to assure successful assembly and yield.Establish and develop inspection protocols and metrology methods.Work closely with manufacturing to design custom fixtures and tooling that ensure process controls match design intent and critical-to-quality (CTQ) standards.Engage in and lead design Failure Mode and Effects Analysis (dFMEA) and process Failure Mode and Effects Analysis (pFMEA) to identify and mitigate risks.Conduct in-depth failure analysis investigations to troubleshoot complex design, material, or process challenges.Oversee contract manufacturing partners, managing both engineering and technician teams as well as processes such as machining, welding, and polymer processing.

Company OverviewAt Echo Neurotechnologies, we are revolutionizing the Brain-Computer Interface (BCI) landscape by merging advanced hardware engineering with innovative AI solutions. Our goal is to develop state-of-the-art technologies that restore independence to individuals with disabilities, enhancing their overall quality of life.Team CultureBecome a part of our dynamic and passionate team, where each member is dedicated to pushing the boundaries of technology. Our startup environment fosters ownership and encourages impactful decision-making. We champion continuous learning and collaboration across disciplines, ensuring that your contributions play a pivotal role in our achievements.Position OverviewAs a Senior Firmware Engineer, you will be at the forefront of developing high-quality, robust, and scalable firmware for Echo's pioneering medical devices. You will contribute significantly to the cross-functional team tasked with launching our inaugural BCI device. Your insights will shape firmware, software, and electronic decision-making processes, guiding the product from conception through to testing, verification, and validation.

Company OverviewAt Echo Neurotechnologies, we are at the forefront of innovation within the Brain-Computer Interface (BCI) sector, leveraging advanced hardware engineering and artificial intelligence to create transformative solutions. Our passion drives us to develop technologies that empower individuals with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome a part of our dynamic and dedicated team comprised of skilled professionals who are enthusiastic about making a difference. In our fast-paced startup environment, you will have the opportunity to take charge of impactful decisions and contribute significantly to our mission. We prioritize continuous learning and foster collaborative teamwork where your input is essential to our achievements.Position SummaryWe are looking for a skilled Lab Manager to be the pivotal force in our hardware development operations. This multifaceted role involves setting up lab spaces, ensuring compliance with environmental health and safety standards, and collaborating with various teams on prototyping and quality assurance. If you are organized, safety-conscious, and enjoy the hands-on aspects of hardware engineering, this role is designed for you.Key Responsibilities:Oversee facilities and lab operationsLead the design and establishment of new lab spaces, coordinating with contractors on electrical, HVAC, and plumbing requirements tailored for medical device testingAct as the primary contact for local authorities to obtain necessary permits related to building, environment, and operationsManage general office and lab facility needsHandle equipment and inventory managementCoordinate the installation, regular maintenance, and urgent repairs of specialized lab equipmentEnsure a strict calibration schedule is maintained for all research and development and manufacturing equipment to meet quality benchmarksDevelop and enforce safety protocols, including chemical hygiene plans, hazardous waste management, and personal protective equipment requirementsSupport engineering by keeping organized records of equipment manuals, safety data sheets (SDS), and maintenance logsManage shipping and receiving logistics; inspect and store incoming packagesMaintain organized and clearly labeled stockrooms, cabinets, and shared equipment areas

Company OverviewEcho Neurotechnologies is a pioneering startup in the Brain-Computer Interface (BCI) domain, committed to driving technological innovation through sophisticated hardware engineering and artificial intelligence solutions. Our goal is to provide state-of-the-art technologies that empower individuals with disabilities, enhancing their autonomy and overall quality of life.Team CultureBe a part of a passionate team of skilled and driven professionals in a collaborative environment. Our startup culture allows you to take charge of impactful decisions that contribute significantly to our mission. We champion continuous learning and development, encouraging cross-disciplinary teamwork where your input is essential to our progress.Position OverviewAs a Firmware Test Engineer, you will develop comprehensive testing strategies, intricate test setups, and automated validation frameworks for Echo's medical devices. Your contributions will be crucial in ensuring the reliability, safety, and performance of embedded systems by creating robust test infrastructures and engaging closely with cross-functional engineering teams throughout the entire product development lifecycle.

About UsEcho Neurotechnologies is an innovative startup pioneering advancements in the Brain-Computer Interface (BCI) sector. Our goal is to create state-of-the-art hardware and AI solutions that empower individuals with disabilities, enhancing their independence and overall quality of life.Our CultureWe invite you to be a part of a small yet passionate team where your expertise will play a crucial role in shaping our future. Being in an early-stage startup, you will have the chance to make impactful decisions while fostering your own professional growth in a collaborative environment.Position SummaryWe are on the lookout for a Senior Mechanical Engineer who will lead the development of our innovative Echo wearable hardware device. The role entails designing, prototyping, and assessing custom hardware solutions, managing manufacturing vendors, and overseeing design verification processes essential for the development of medical devices.Key ResponsibilitiesDesign and prototype mechanical components and assemblies, utilizing rapid prototyping, machining, and injection molding techniques.Create detailed component and assembly drawings, including tolerance stack-ups and analyses.Identify and liaise with manufacturing vendors for component and assembly production.Conduct simulations and analyses (FEA, thermal, etc.) in collaboration with vendors to inform design choices.Develop custom electromechanical systems for testing and characterization of components and assemblies.Plan and implement design verification activities systematically.

Company OverviewEcho Neurotechnologies is an innovative startup at the forefront of Brain-Computer Interface (BCI) technology. We are committed to creating advanced hardware solutions powered by AI, aimed at restoring autonomy for individuals with disabilities and enhancing their quality of life.Team CultureBecome a part of our dynamic team of passionate and skilled professionals. We thrive in a collaborative environment, where you will have the opportunity to take charge of pivotal decisions that shape our future. We prioritize continuous learning and development, encouraging contributions that drive our collective success.Position SummaryWe are looking for a Senior Hardware Engineer with expertise in Mechanical Engineering to validate our cutting-edge Echo hardware systems. You will evaluate custom hardware devices and subsystems, while also spearheading the development and execution of specialized test systems for design verification.Key ResponsibilitiesDesign and prototype mechanical components and assemblies, including rapid prototyping, machining, and injection molding.Develop electromechanical test systems to characterize and assess hardware devices.Create test protocols, implement design verification testing, and manage vendor testing processes.Analyze test data, produce technical reports, and supervise vendor test reports.Generate component and assembly drawings, including tolerance stack-ups and analyses.Plan and conduct design verification activities.QualificationsBachelor's degree in Mechanical Engineering or a related field.A minimum of 7 years of professional experience in engineering electro-mechanical hardware devices.Proficient in hands-on machining and rapid prototyping techniques.Experience in data analysis from physical systems.Familiarity with quality systems and standards.Preferred QualificationsMaster’s degree in Mechanical Engineering or a related field.Strong analytical skills and attention to detail.Ability to work collaboratively in a fast-paced environment.

About Echo Neurotechnologies Echo Neurotechnologies is a startup based in San Francisco, focused on Brain-Computer Interface (BCI) technology. The team combines hardware engineering and artificial intelligence to build tools that help people with disabilities gain greater independence and improve their quality of life. Team and Culture The company operates as a small, close-knit group where each member’s work matters. As an early-stage team, everyone has a voice in shaping both the product and the company’s direction. Professional growth and learning are encouraged, and cross-functional collaboration is part of daily work. Role Overview: Software Engineer for R&D This role centers on supporting scientific and engineering R&D for BCI projects. The engineer will design and build data pipelines, user interfaces, and software tools that support research and real-world applications. The work directly contributes to improving technology for patients with severe disabilities. Candidates should be comfortable building systems from scratch and working with a range of programming languages and technologies. Main Responsibilities Design and manage data pipelines to handle diverse datasets for collaborative research. Develop frameworks for acquiring and processing real-time data streams from digital sensors, such as microphones and cameras. Help design and build user interfaces for BCI applications, working closely with end users. Integrate custom software with various operating system APIs and features, including accessibility options. Work within a small team to improve software and R&D workflows, merging contributed code into larger codebases. Keep design documents, code, and test results well organized and clearly documented. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Neuroscience, or a related field. Minimum 1 year of software engineering experience in academic or industry R&D settings. Strong programming skills in multiple languages and experience with system design.

Join Our Team at Rad AIAt Rad AI, we are dedicated to transforming the healthcare landscape through the power of artificial intelligence. Established by a radiologist, our innovative AI solutions are revolutionizing the field of radiology, enhancing patient care, alleviating clinician burnout, and significantly reducing the time required for report generation. With access to one of the largest proprietary datasets of radiology reports globally, our AI technologies have facilitated the discovery of numerous new cancer diagnoses and halved error rates across tens of millions of reports.Having raised over $140 million in funding, including a highly successful Series C round of $68 million led by Transformation Capital, we are now valued at $528 million. Our prestigious investors, such as Khosla Ventures, World Innovation Lab, Gradient Ventures, and Cone Health Ventures, are all committed to supporting our mission to empower healthcare professionals with cutting-edge AI tools.Our latest breakthroughs in generative AI are utilized by thousands of radiologists every day, supporting nearly half of all medical imaging across the United States, in partnership with esteemed healthcare organizations like Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked as the 19th fastest-growing company in North America by Deloitte, we are committed to creating AI-powered solutions that make a real difference. Recently, Rad AI was also featured on CNBC’s Disruptor 50 list, showcasing the innovation and momentum behind our mission.If you are eager to impact the future of healthcare positively, we would be thrilled to have you join our talented team!Why You Should Join UsWe are seeking a Staff Machine Learning Research Scientist to define and lead Rad AI's next wave of applied research in Natural Language Processing (NLP) and clinical AI. You will engage with large language models, retrieval systems, representation learning, speech processing, and multimodal modeling, prioritizing evaluation and reliability alongside achieving state-of-the-art outcomes. This role offers you the chance to take ownership of projects and establish a direct pathway from research to product implementation.As part of our team, you will work closely with clinicians, engineers, and product leaders to translate foundational research into practical applications that enhance healthcare delivery.

About Retell AI Retell AI develops advanced voice AI technology for call centers, using first-principles approaches to create intelligent voice agents. These agents help businesses manage sales, support, and logistics communications while reducing reliance on large human teams. The company has reached $36M ARR in just 18 months, backed by Y Combinator and Alt Capital. With a team of 20, Retell AI is building a comprehensive customer experience platform, aiming for AI-powered contact centers by 2026. The vision: intelligent agents that execute, monitor, and improve customer interactions with minimal human oversight. Named a top 50 AI app by a16z: https://tinyurl.com/5853dt2x Ranked #4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025 Featured among top startups: https://leanaileaderboard.com/ Role Overview: Research Scientist - Voice AI Innovation This role centers on advancing machine learning for human-like voice agents in real-world settings. The Research Scientist will explore new methods in large language models (LLMs) and audio models, design evaluation techniques, and prototype systems that improve reasoning, reduce latency, and enhance conversational quality. The work involves open-ended ML challenges, rapid experimentation, and direct influence on the performance and cognitive abilities of voice AI systems at scale. Location San Francisco Bay Area

The traditional credit system often excludes those who need it the most, imposing barriers like credit history and collateral requirements. Over 1.4 billion individuals worldwide lack access to credit facilities. Consider the vendor in Lagos, earning daily but unable to prove a steady income, or the Colombian nurse with an impeccable record of informal repayments, yet remains invisible to banks.In response, we developed an innovative solution called Credit. Since its launch in December 2024, Credit has successfully issued hundreds of thousands of undercollateralized loans utilizing stablecoins. These loans have empowered individuals globally to purchase essentials such as groceries, medicine, and transportation. With strong financial backing of $6.6 million from Paradigm and Nascent, we are eager to expand our reach to even more borrowers. Join us in this transformative journey.About the RoleAt Divine Research, we are constantly on the lookout for exceptional individuals who thrive at the cutting edge of innovation. Even if we don't have a specific position open that matches your skills, we are keen to connect with remarkable talents.Are you a creator who brings visions to fruition? A strategist who identifies opportunities that others overlook? A marketer with a knack for weaving captivating narratives? Whatever your forte, if you are passionate about shaping the future, we would love to hear your story and the impact you aspire to make.Divine Research is an equal opportunity employer.

RoleAs a Research Scientist at OpenEvidence, you will explore the potential of cutting-edge models, leveraging a strong research foundation to build practical systems rather than merely publishing papers. You will take ownership of projects from conception to execution, valuing evaluation and quantitative validation as integral components of your work.We seek exceptional innovators who are not confined to narrow specializations. Our engineers and scientists collaborate across diverse products and projects, driving impactful work wherever their skills can shine.About UsOpenEvidence is the leading medical AI platform globally, rapidly adopted by over 40% of US clinicians within just one year through organic, product-driven growth. With a valuation of $12B, our engineering team comprises 30 talented individuals from prestigious institutions like MIT, Harvard, and Stanford. We believe that transformative products emerge from a select group of exceptional builders who are empowered to take initiative and work swiftly toward focused goals. Join us as we embark on a unique opportunity to establish the standard platform for medical AI.CultureWe hold that work should engage at a world-class level. Building from 0 to 1 and scaling from 1 to 1000 is akin to a professional sport, where uncompromising excellence is the standard. We assert that the creation of unprecedented technologies requires complete ownership, and significant achievements arise when individuals commit to them.Who Are You?If your goal is to clock in and out with minimal engagement, this role is not for you. If you prefer to write papers rather than roll up your sleeves and get involved in creating impactful solutions that influence millions, this position may be your calling. The ideal candidate is a remarkable builder—intelligent, ambitious, resourceful, self-driven, meticulous, motivated, diligent, and humble. We recognize this profile is rare, which is why we have only identified 30 such individuals and are eager to find more.LocationAll engineering roles are in-person, requiring attendance five days a week in either San Francisco or Miami.

At Magic.dev, we are on a groundbreaking mission to develop safe artificial general intelligence (AGI) that propels humanity forward in tackling the world’s most pressing challenges. We believe that the key to achieving safe AGI lies in automating research and code generation, enabling us to enhance models and resolve alignment issues more effectively than human efforts alone. Our cutting-edge strategy incorporates frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and advanced inference-time computation to realize this vision.If you are passionate about contributing to this mission and possess high-energy and creativity, we invite you to explore potential opportunities with us, even if they are not currently listed on our careers page. We welcome exceptional talent with open arms.

Join Anthropic as a Research Engineer focusing on Economic Research. In this role, you will leverage your analytical skills to conduct in-depth economic analysis and contribute to innovative projects aimed at enhancing our understanding of economic models and their implications.

About the TeamJoin the innovative Post-Training team at OpenAI, where we focus on refining and elevating pre-trained models for deployment in ChatGPT, our API, and future products. Collaborating closely with various research and product teams, we conduct crucial research that prepares our models for real-world deployment to millions of users, ensuring they are safe, efficient, and reliable.About the RoleAs a Research Engineer / Scientist, you will spearhead the research and development of enhancements to our models. Our work intersects reinforcement learning and product development, aiming to create cutting-edge solutions.We seek passionate individuals with robust machine learning engineering skills and research experience, particularly with innovative and powerful models. The ideal candidate will be driven by a commitment to product-oriented research.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. Relocation assistance is available for new employees.In this role, you will:Lead and execute a research agenda aimed at enhancing model capabilities and performance.Work collaboratively with research and product teams to empower customers to optimize their models.Develop robust evaluation frameworks to monitor and assess modeling advancements.Design, implement, test, and debug code across our research stack.You may excel in this role if you:Possess a deep understanding of machine learning and its applications.Have experience with relevant models and methodologies for evaluating model improvements.Are adept at navigating large ML codebases for debugging purposes.Thrive in a fast-paced and technically intricate environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are committed to pushing the boundaries of AI capabilities while prioritizing safety and human-centric values in our products. Our mission is to embrace diverse perspectives, voices, and experiences that represent the full spectrum of humanity, as we strive for a future where AI is a powerful ally for everyone.

About Our TeamJoin the forefront of AI innovation with the RL and Reasoning team at OpenAI. Our team is dedicated to advancing reinforcement learning research and has pioneered transformative projects, including o1 and o3. We are committed to pushing the limits of generative models while ensuring their scalable deployment.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will play a pivotal role in enhancing AI alignment and capabilities through state-of-the-art reinforcement learning techniques. Your contributions will be essential in training intelligent, aligned, and versatile agents that power various AI models.We seek individuals with a solid foundation in reinforcement learning research, agile coding skills, and a passion for rapid iteration.This position is located in San Francisco, CA, and follows a hybrid work model of three days in the office per week. We also provide relocation assistance for new hires.You may excel in this role if:You are enthusiastic about being at the cutting edge of RL and language model research.You take initiative, owning ideas and driving them to fruition.You value principled methodologies, conducting simple experiments in controlled environments to draw trustworthy conclusions.You thrive in a fast-paced, complex technical environment where rapid iteration is essential.You are adept at navigating extensive ML codebases to troubleshoot and enhance them.You possess a profound understanding of machine learning and its applications.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good for humanity. We strive to push the boundaries of AI system capabilities while prioritizing safe deployment through our innovative products. We recognize AI as a powerful tool that must be developed with safety and human-centric principles, embracing diverse perspectives to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.