Mechanical Engineer - Innovative Brain-Computer Interface Development

At Merge Labs, we are pioneering research that merges biological and artificial intelligence to enhance human capability, autonomy, and overall experience. Our mission is to create innovative brain-computer interfaces (BCIs) that seamlessly interact with the brain at high bandwidth, integrate with cutting-edge AI, and ensure safety and accessibility for all users.About Our Team:Our Bio team is at the forefront of designing, constructing, and characterizing the biotechnologies essential for next-generation BCIs. We leverage molecular engineering, synthetic biology, and neuroscience, alongside advanced physical techniques such as ultrasound, to establish minimally invasive, high-bandwidth neuron connections. The Bio team is responsible for developing and validating our core molecular technologies, assessing their performance in both in vitro and in vivo environments, and showcasing their capabilities in animal models. We create bespoke experimental setups and workflows, collaborating closely with engineers and data scientists to tackle some of the most pressing challenges in biotechnology.About the Role:As a Protein Engineer at our BCI company, you will be instrumental in designing, building, and optimizing biomolecules that translate neuronal activity into comprehensible signals. Your contributions will facilitate precise modulation between cellular and machine languages.You will engage with a range of unconventional proteins—from innovative biosensors to membrane proteins and intricate multi-component assemblies. Utilizing your biophysical expertise and high-throughput experimental methods, along with close collaboration with our computational team, you will push the limits of these molecules' functionalities. Your work will lay the molecular groundwork for advanced brain-computer interfaces.Key Responsibilities:Design and Execute Protein Engineering Strategies: From rational design and computational modeling to directed evolution and combinatorial library approaches, you will create dynamic molecular systems with desirable traits.High-Throughput Protein Variant Characterization: Rapidly test and refine hypotheses by implementing and optimizing scalable workflows from library generation to expression in various in vitro systems and conducting both standard and custom assays.Collaboration with Computational Team: Work closely to develop models that correlate sequences and structures to functional properties.

About AlljoinedAt Alljoined, we are pioneering solutions to eliminate communication barriers between humans and technology by non-invasively interpreting brain activity. Through advanced deep learning techniques applied to extensive EEG datasets gathered from cost-effective hardware, we decode various stimuli, including images, emotions, and even thoughts. Initially focusing on business applications, our long-term vision includes creating a consumer-facing interface to enhance productivity, entertainment, and AI applications.Our dedicated team of researchers is expanding, and we are committed to developing a high-performance and accessible interface that significantly enhances individual lives and contributes positively to societal well-being.

Join our innovative team at Zyphra as a Research Engineer specializing in Brain-Computer Interface (BCI) Models. In this pivotal role, you will contribute to groundbreaking research and development initiatives in the field of neuroscience and artificial intelligence. Your expertise will help shape the future of communication between humans and machines, enhancing the quality of life for countless individuals.As a Research Engineer, you will be responsible for designing, implementing, and testing advanced BCI models, collaborating closely with a diverse team of scientists and engineers. Your work will play a crucial role in advancing our understanding of neural dynamics and their applications in technology.

At Merge Labs, we are pioneering the intersection of biological and artificial intelligence, aiming to enhance human potential, agency, and overall experience. Our innovative research focuses on creating fundamentally new brain-computer interfaces that provide high-bandwidth interaction with the brain, seamlessly integrate with advanced AI, and prioritize safety and accessibility for all users.Team OverviewOur Bio team is at the forefront of designing, constructing, and characterizing the biotechnologies essential for next-generation brain-computer interfaces. We utilize molecular engineering, synthetic biology, and neuroscience, along with advanced physical techniques such as ultrasound, to forge less invasive, high-bandwidth connections with neuronal structures. The Bio team is responsible for developing our core molecular technologies, validating their efficacy both in vitro and in vivo, and demonstrating their advanced functionalities through animal model studies. We thrive on collaboration, working closely with engineers and data scientists, and fostering interdisciplinary creativity to tackle some of biotechnology's most pressing challenges.Role OverviewIn the position of Scientist in Cell Biology, you will be tasked with engineering neurons and various cell types to express innovative molecular biosensors and actuators, assessing their roles in enabling cellular interaction with ultrasound. Your research will encompass the study of biosensor expression, localization, degradation, and their effects on cellular function and health. You will devise protocols for cell culture, analysis, microscopy, and interactions with physical energies such as ultrasound. Your contributions will play a critical role in advancing groundbreaking molecular technologies geared towards neural interfacing and accelerating their clinical application.Key ResponsibilitiesOptimize and maintain mammalian cell preparations, including cell lines, primary and iPSC-derived neurons, brain organoids, or brain slices.Collaboratively innovate and construct novel protein and genetic constructs to facilitate biosensing and/or actuating capabilities.Develop and execute cell engineering workflows, encompassing construct delivery, selection, and differentiation processes.Characterize construct functionality and assess cellular impact using techniques such as activity recording, microscopy, stimulation, flow cytometry, immunohistochemistry, and next-gen sequencing.Engage in collaborations with cross-disciplinary teams, integrating expertise from protein engineering, biochemistry, cell biology, neuroscience, and genetics.

Summary: Join Interface as a Founding Engineer! We seek versatile engineers (ML, data, full-stack) who are driven, innovative, and eager to make a difference. If you're ready to challenge the status quo and build impactful solutions, we want you on our team! Your Profile:Make swift, informed decisions with a focus on outcomesProactively address issues before they escalateFluent in our technology stack (TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, React Native, etc.)Have a proven track record of building functional productsThrive in fast-paced environmentsYour Responsibilities:Engage with users/customers to understand their experiences, challenges, and requirementsDesign robust systems utilized by thousands at billion-dollar enterprisesDevelop autonomous data pipelines for auditing large volumes of documentsEnsure scalable infrastructure managementDeliver quickly – our mantra is progress over perfection.Important Insights:Collaborate directly with the founding team and customersUser needs take precedence over flashy featuresThe team works six days a week in our San Francisco officeEnjoy working in SF: vibrant atmosphere, pleasant weather, and access to the best tech ecosystem in the world Additional Information:We welcome applications from around the globe.We offer competitive compensation, substantial equity, and the chance to influence our early team dynamics.$3,000 referral bonus for successful hires.About Interface: We are pioneers in autonomous safety solutions for the industrial sector, focusing on error detection and correction in industrial documentation. Our AI-powered platform aims to automate compliance tasks across various domains. You will leverage cutting-edge technologies at the crossroads of LLMs, computer vision, and data frameworks to redefine industry standards.

At Merge Labs, we are at the forefront of research, dedicated to uniting biological and artificial intelligence to enhance human capability, autonomy, and overall experience. Our innovative approach focuses on developing revolutionary brain-computer interfaces that offer high-bandwidth interaction with the brain, seamlessly integrate advanced AI, and are designed to be safe and accessible for everyone.About the Team:Our Bio team is responsible for designing, constructing, and characterizing the biotechnologies that underpin the next generation of brain-computer interfaces. By integrating molecular engineering, synthetic biology, neuroscience, and cutting-edge physical methods such as ultrasound, we aim to establish less invasive, high-bandwidth connections with neurons. The Bio team is dedicated to developing our core molecular technologies, validating their performance both in vitro and in vivo, and showcasing their advanced capabilities in animal models. We create custom experimental setups and pipelines while collaborating closely with engineers and data scientists to tackle some of the most challenging problems in biotechnology.About the Role:We are seeking a Senior/Principal Machine Learning Biophysicist to spearhead the creation of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks. You will build the molecular modeling foundations of the company from first principles, establishing tools and workflows for simulating, analyzing, and interpreting biomolecular dynamics to elucidate function relationships. Over time, your contributions will help translate these frameworks into predictive models that expedite molecular engineering, guide experimental campaigns, and facilitate the discovery of highly functional molecules.Key Responsibilities:Develop the scientific and engineering framework for protein structure modeling and molecular dynamics, along with integrations into downstream ML frameworks.Collaborate with wet-lab scientists to establish realistic optimization objectives and encode domain-specific priors and constraints.Prototype modeling frameworks utilizing internal and public datasets; benchmark and validate performance.Make complex analyses accessible to non-domain experts through democratization of first-principles analysis.Lead the development of ML frameworks that explicitly incorporate first-principles priors.Stay abreast of the latest advancements in deep learning and molecular dynamics.

At Mechanize, we specialize in developing reinforcement learning (RL) environments that empower AI models to execute real-world tasks efficiently. Our mission is to drive the complete automation of the economy, providing innovative solutions to leading AI laboratories. Discover more about our work at mechanize.work.As a Senior Software Engineer at Mechanize, you will contribute to the creation of RL environments that are pivotal in the field of AI model training. Ideal candidates will have 2-5 years of software engineering experience with proficiency in Python programming. Previous experience in machine learning or AI is not a prerequisite.For insights on our interview process, visit: Interview Process at Mechanize.

Join mechanize as a Senior Software Engineer, where you'll contribute to innovative software solutions that shape the future of technology. In this role, you will lead projects, mentor junior developers, and collaborate with cross-functional teams to deliver high-quality software products. Your expertise will drive architectural decisions and enhance our development processes.

Company OverviewEcho Neurotechnologies is a pioneering startup in the Brain-Computer Interface (BCI) sector, dedicated to revolutionizing the lives of individuals with disabilities through advanced hardware engineering and artificial intelligence solutions. Our vision is to develop innovative technologies that empower users, restoring autonomy and enhancing their quality of life.Team CultureWe pride ourselves on cultivating an inclusive and dynamic team of skilled professionals who are passionate about their work. Our startup environment encourages ownership of impactful decisions and fosters continuous learning and collaboration, where every contribution is essential to our collective success.Job SummaryWe are on the lookout for a talented Machine Learning Research Engineer specialized in speech modeling to join our innovative team. The successful candidate will leverage ML/AI methodologies to create and refine adaptable speech models aimed at brain-computer interface applications, ultimately making a difference in the lives of patients facing severe disabilities. Candidates should possess significant expertise in speech modeling, feature engineering, time-series analysis, and the development of custom ML models.Key ResponsibilitiesDesign and evaluate diverse model architectures and strategies to enhance the accuracy and resilience of models for interpreting speech from brain activity.Investigate and implement cutting-edge speech features and representations within neural-decoding frameworks, informed by speech science and functional neurophysiology.Create pipelines for generating personalized and naturalistic speech from both text and brain activity inputs.Develop algorithms to analyze both intact and compromised speech signals, identifying biomarkers linked to various diseases and disabilities.Collaborate within a tight-knit team to build models, define R&D workflows, and translate scientific discoveries into practical applications.Contribute to best practices ensuring reliability, observability, reproducibility, and scientific rigor across the R&D landscape.Maintain well-documented, versioned code, analysis pipelines, and results for maximum interpretability and reproducibility.

Join Interface as a Forward Deployed Engineer! We are on the lookout for innovative generalist engineers (machine learning, data, full-stack) who are not afraid to push boundaries and have a strong drive to succeed. If you thrive in a fast-paced environment and believe in building quickly to achieve results, we want you on our team!Who You Are:You make quick, strategic decisions that can be reversed easily.You proactively identify and resolve issues before they are brought to your attention.You are proficient with our technology stack, including TSX, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native.You have a track record of building impactful products that are actively used.You excel in dynamic and chaotic environments.Your Responsibilities:Engage with users and customers to understand their experiences, challenges, and needs.Design and architect systems that are utilized daily by large-scale enterprises.Develop autonomous data pipelines that efficiently audit vast amounts of documents.Manage scalable infrastructure to support our growing needs.Deliver solutions rapidly, as we believe that perfectionism can impede progress.Real Talk:Collaborate closely with the founding team and our customers.Prioritize user needs over flashy features and trends.Expect to work six days a week at our office.Be ready for an intense working environment in San Francisco, known for its excellent weather and vibrant tech ecosystem.Additional Information:Remote applications are welcomed from candidates around the globe.We offer competitive salaries, substantial equity, and the opportunity to influence early-stage decisions.Receive a $3,000 bonus for successful referrals!About Interface: We are the leaders in autonomous safety solutions for the industrial sector. We are developing an advanced AI-powered auditing platform that identifies and rectifies errors in various industrial documents, including regulatory filings and CAD files. Join us at the forefront of innovation where LLMs, computer vision, and data pipelines converge to redefine compliance and safety standards.

Merge Labs is at the forefront of research, aiming to connect biological systems with artificial intelligence, thereby enhancing human capacity, autonomy, and overall experience. Our objective involves pioneering innovative strategies for brain-computer interfaces that operate at high bandwidth, seamlessly integrate advanced AI technologies, and ensure safety and accessibility for all users.About the Team:Our Bioengineering team is dedicated to the design, development, and assessment of biotechnologies that will serve as the cornerstone for next-generation brain-computer interfaces. We bring together expertise in molecular engineering, synthetic biology, neuroscience, and cutting-edge physical techniques such as ultrasound to create less invasive, high-bandwidth connections with neural circuits. The team validates our core molecular technologies through rigorous in vitro and in vivo testing and showcases their capabilities in animal models. We develop customized experimental setups and pipelines, collaborating closely with engineers and data scientists. Our interdisciplinary approach fosters innovative solutions to some of the most complex challenges in biotechnology. As part of this initiative, we are developing methods for precise light delivery and detection within the intact brain, which will advance our brain-computer interface research, utilizing sophisticated optical systems that integrate optics, mechanics, electronics, and control software.About the Role:In the position of Optical Systems Engineer, you will be responsible for designing, constructing, and validating optical systems and associated software to facilitate high-performance neuroscience experiments in rodents. You will leverage optical and mechanical design tools to develop and characterize multifunctional imaging systems, integrating them with other modalities, including ultrasound. This role involves close collaboration with neuroscientists, mechanical and electrical engineers, and data scientists to deliver robust hardware and software platforms that support sophisticated biological research.In this role, you will:Design optical systems utilizing ray-tracing and CAD tools such as Zemax and SolidWorks/Inventor.Construct and align optical systems, including illumination and camera-based detection modules.Develop online data processing pipelines that facilitate closed-loop brain interfaces.Prototype and evaluate closed-loop optical brain interfaces.Collaborate with mechanical and electrical engineers to merge optics with sensors, actuators, and control electronics.Establish and carry out optical calibration processes to ensure system accuracy.

Join Filevine, a pioneering Legal AI company dedicated to revolutionizing legal work through Legal Operating Intelligence. Our platform integrates data, documents, workflows, and teams into a singular, coherent system, enabling modern legal professionals to work with unprecedented clarity and efficiency.At the heart of our innovation is LOIS, the Legal Operating Intelligence System, which enhances legal operations by transforming them from reactive to proactive. LOIS intelligently analyzes your data to extract insights, simplify complexities, and empower professionals with the knowledge they need to excel. Thanks to our talented and innovative team, Filevine has garnered awards from Deloitte and Inc., recognizing us as one of the fastest-growing and most innovative technology firms in the nation.Role Overview:We are seeking a dedicated UI Engineer to enhance the execution, refinement, and user experience quality of our Word add-in and web application. This engineering-focused position does not involve leading UX strategy or designing workflows from the ground up; rather, you will build upon clearly defined interaction models and design guidance provided by our Product Design Engineer and Frontend leads. Your goal will be to create a product that feels responsive, intentional, and reliable.The ideal candidate will possess a keen attention to detail, a solid understanding of AI system behavior at the UI layer, and the ability to effectively manage streaming states, partial results, and potential error scenarios without glossing over them.

At Merge Labs, we are at the cutting edge of research, striving to connect biological and artificial intelligence for the enhancement of human capabilities, agency, and experiences. Our mission is to create groundbreaking brain-computer interfaces that facilitate high-bandwidth interactions with the brain, seamlessly integrated with advanced AI technologies, while remaining safe and accessible for all.About Our TeamWe are dedicated to pioneering the most sophisticated interfaces to the brain, enabling interaction with neurons on an unprecedented scale. Achieving this vision requires innovative engineering that pushes the boundaries of what's achievable. Our team is a collective of exceptional builders in electrical engineering, mechanical engineering, mixed-signal IC design, materials science, systems engineering, and engineering physics. We approach challenges from fundamental principles, collaborate across disciplines, and develop scalable technologies. Our rapid prototyping, testing, and iterative processes are driven by a commitment to excellence.Role OverviewWe are searching for a Staff Electrical Engineer to take charge of the architecture, design, and validation of our core electronic systems, as well as the infrastructure utilized in R&D, manufacturing, and clinical settings. This position requires profound technical knowledge of complex electronic systems, including mixed-signal, power, and FPGA/ASIC integration, along with strong software skills (Python/C) to spearhead the development of our testing infrastructure. You will manage the entire lifecycle, from architectural design to validation and manufacturing transfer, while nurturing critical vendor relationships and establishing benchmarks for electrical engineering excellence at Merge.Key Responsibilities:Design, simulate, and verify complex electronic systems to meet rigorous product specifications.Oversee the design and layout of essential PCBAs, emphasizing mixed-signal integrity, power architecture, and thermal management solutions.Create and implement automated test infrastructure (ATE), including developing test firmware (C) and system-level scripting (Python).Maintain technical relationships with design vendors and PCBA assembly/test houses, defining DFT strategies, acceptance criteria, and yield goals.Collaborate closely with internal software, mechanical, and clinical teams to ensure flawless system-level integration and performance.

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.

At Mechanize, we are pioneering the development of Reinforcement Learning (RL) environments tailored to train AI models for real-world applications. Our ambition is to facilitate the complete automation of the economy, partnering with leading AI laboratories. Discover more at mechanize.work.As a Software Engineering Intern at Mechanize, you will play a pivotal role in assisting our team to develop these groundbreaking RL environments. If you have a solid command of Python programming and possess a keen intellect, we would love to hear from you.We are currently seeking interns for Winter 2026, Spring 2026, and Summer 2026.No prior experience in machine learning or AI is necessary.Curious about our interview process? Learn more here: https://www.mechanize.work/how-our-interview-process-works/

At Merge Labs, we are at the forefront of scientific innovation, dedicated to harmonizing biological and artificial intelligence to enhance human potential and experiences. Our mission is to pioneer groundbreaking brain-computer interface technologies that communicate with the brain at unprecedented speeds, integrate seamlessly with advanced AI, and ensure safety and accessibility for all users.About Our Team:Our team is committed to transforming advanced brain-computer interface visions into tangible algorithms. By integrating knowledge from synthetic biology, neuroscience, device physics, signal processing, and machine learning, we create effective methodologies to connect human intelligence with artificial intelligence. Our work involves designing experiments, developing analytical frameworks, collecting data, training models, and optimizing performance to construct scalable Brain-AI systems. We prioritize urgency while maintaining a balance between creative exploration and engineering rigor, as we believe that enhancing human ability, agency, and experience is one of the most pressing challenges of our era.Role Overview:As the most senior data engineer on our team, you will take charge of the data pipelines that capture, process, and deliver the essential data driving Merge’s molecular optimization platform. Your role will include converting diverse laboratory outputs into structured, queryable datasets that enable scientific analysis and closed-loop machine learning. Collaborating closely with experimentalists, you will establish data standards and metadata conventions, and work alongside ML engineers to ensure results are integrated into production-grade systems.This position reports to the Head of Software and involves extensive cross-functional collaboration—spanning software engineering, data architecture, and scientific informatics. As part of the Core Software team, you will be supported by infrastructure specialists and will coordinate with the Application Development Lead to ensure comprehensive scientific and user input capture.Your Responsibilities Include:Developing and maintaining ingestion pipelines from laboratory instruments into centralized data storage.Designing schemas and capturing metadata standards for experimental data.Implementing post-processing pipelines to generate analysis-ready datasets for our scientific teams.Setting up monitoring, alerting, and structured logging for data pipelines to ensure optimal operation.

Merge Labs is an innovative research laboratory dedicated to integrating biological and artificial intelligence to enhance human capability, autonomy, and experience. Our cutting-edge focus is on developing revolutionary brain-computer interfaces (BCIs) that communicate with the brain at high bandwidth, seamlessly integrate with advanced AI, and are designed to be safe and accessible for everyone.Team Overview:Our advanced BCIs aim to restore lost abilities, promote healthier brain conditions, deepen interpersonal connections, and expand the realms of human potential in collaboration with advanced AI. Our team is pivotal in transforming this vision into algorithms. By leveraging expertise in synthetic biology, neuroscience, device physics, signal processing, and machine learning, we create innovative methods to connect human and artificial intelligence. We design experiments, develop analytical frameworks, gather data, train models, and optimize performance to construct scalable Brain-AI systems for diverse applications. We operate with a sense of urgency, balancing creative exploration with engineering precision, as we tackle one of the most significant challenges of our era: enhancing human capability, autonomy, and experience.Role Overview:As the lead infrastructure engineer, you will establish and oversee the processes through which teams deploy internal and collaborative applications. You will manage essential systems such as access control lists (ACLs), network boundaries, virtual machines (VMs), configuration management, and continuous integration/continuous deployment (CI/CD) systems, facilitating the deployment of various low-latency, high-throughput laboratory tools, including closed-loop automation and clinician-facing applications. Collaborating closely with our hardware team, you will integrate custom high-throughput hardware into our computing infrastructure. Your contributions will be vital in enabling self-service interfaces for scientists, allowing them to deploy their work with minimal coding expertise, ensuring accessibility for all staff members.This position reports to the Head of Software and requires cross-functional collaboration, addressing the needs of hardware specialists, data engineers, and scientists utilizing internal off-the-shelf products.

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.

Merge Labs is an innovative research laboratory dedicated to merging biological sciences with artificial intelligence to enhance human capabilities and experiences. Our vision centers around pioneering new paradigms in brain-computer interfaces, ensuring they operate at high bandwidth, integrate seamlessly with advanced AI technologies, and remain safe and accessible for all users.About Our Team:Our Bio team is at the forefront of designing, engineering, and characterizing the biotechnologies that underpin the next generation of brain-computer interfaces. By harnessing the principles of molecular engineering, synthetic biology, and neuroscience, alongside cutting-edge physical techniques like ultrasound, we aim to establish minimally invasive, high-bandwidth connections with neurons. The Bio team is responsible for developing our core molecular technologies, validating their efficacy in both in vitro and in vivo settings, and showcasing their advanced functionalities in animal models. We pride ourselves on creating tailored experimental setups and workflows while fostering close collaborations with engineers and data scientists to address the most pressing challenges in biotechnology.About the Role:As an Immunologist at Merge Labs, you will play a pivotal role in designing, constructing, and validating biological strategies aimed at achieving durable immune tolerance to novel proteins that are crucial for the development of less invasive brain-computer interfaces. Your expertise will be instrumental in characterizing immune responses and devising strategies that foster immunological tolerance, thereby laying the groundwork for next-generation molecular brain-computer interfaces.Your Responsibilities Include:Analyzing the immunogenicity of engineered proteins, establishing quantitative metrics and benchmarks for immune compatibility in relevant in vitro and in vivo experimental models.Scaling high-throughput immune characterization assays and workflows to facilitate rapid hypothesis testing and iteration.Working collaboratively with our computational and protein engineering teams to devise and implement strategies that enhance immunological tolerance towards molecular components of advanced brain-computer interfaces to optimize human compatibility.Taking technical ownership of projects from inception to execution, encompassing experimental planning, prioritization, documentation, and effective communication of results.