Firmware Engineer at Echo Neurotechnologies | San Francisco

Company OverviewEcho Neurotechnologies is an innovative startup in the Brain-Computer Interface (BCI) sector, pioneering advancements through superior 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 overall quality of life.Team CultureBecome a part of a dynamic team of passionate and knowledgeable professionals. Our early-stage environment allows you to influence critical decisions that lead to significant and long-term impacts. We value ongoing learning and development, promoting cross-functional collaboration where your input is essential to our success.Job SummaryWe are looking for an adept Applied AI Scientist specializing in language and contextual modeling to enhance our team. The successful candidate will utilize machine learning and AI principles to design, develop, optimize, personalize, and miniaturize advanced language and context models for brain-computer interface applications, aiming to make a tangible difference in the lives of patients with physical disabilities.Key ResponsibilitiesLanguage modeling: Utilize your deep understanding of language models (LMs) to develop tailored solutions for brain-computer interface applications, including fine-tuning and customization of large language models (LLMs).Context modeling: Create and implement machine learning pipelines that facilitate real-time inference across multiple input streams, deploying both proprietary and industry-standard models to analyze audio, video, and application states.General ML practices & adherence to company standards: Focus on model dissection for enhanced interpretability, enabling the extraction of rich latent representations from extensive models for broader application.

Company OverviewAt Echo Neurotechnologies, we are a pioneering startup in the Brain-Computer Interface (BCI) domain, committed to spearheading advancements through state-of-the-art hardware engineering and AI innovations. Our vision is to create transformative technologies that empower individuals living with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome part of a passionate and dedicated team where your expertise is valued. In our dynamic early-stage environment, you will have the chance to influence key decisions that lead to significant, long-term impacts. We prioritize continuous learning and development, encouraging cross-functional collaboration where your contributions play a crucial role in our success.Job SummaryWe are on the lookout for a skilled Applied AI Scientist to join our innovative team. The successful candidate will harness machine learning (ML) and artificial intelligence (AI) methodologies to analyze extensive datasets of time-series data and their accompanying metadata, crafting sophisticated encoding and decoding models to decode brain activity. This work will not only propel scientific advancements but also translate into impactful solutions for patients with physical disabilities.Key ResponsibilitiesDevelop models for brain data and metadata to derive insights from both existing and future datasets, establishing high-performance inference and translation pipelines.Design and implement cutting-edge transformers and other ML models to translate brain signals into control commands for digital devices.Stay abreast of the latest AI methodologies, rapidly evaluating their applicability and effectiveness through prototypical assessments with company datasets.Collaborate effectively within a small team to refine models, design the data-science platforms, and integrate ML models into our product applications.Ensure that all code, analysis pipelines, and results are versioned, well-documented, and highly interpretable for maximum reproducibility.Assist in creating documentation for our Quality Management System, specifically related to ML implementations that will be incorporated into medical products.

About Context Context builds AI platforms that help companies capture and manage their own knowledge, procedures, data, and objectives, using intelligent agents. These agents work with human teams to handle complex, ongoing tasks inside a unified office suite. Fortune 500 clients rely on Context to deploy these solutions securely. The team includes engineers and researchers with backgrounds at Apple, Ramp, Stripe, Meta, BAIR, and SAIL. Context’s products have reached over a million users and supported campaigns with audiences of more than 180 million. Backers include Lux Capital, Qualcomm Ventures, General Catalyst, and BoxGroup. Context moves quickly. Features developed one week are already in use by Fortune 100 teams the next, so the feedback loop is immediate and high-stakes. Summer Internship Overview This paid internship in San Francisco is for students who want to work on meaningful projects at a growing startup. Interns have the chance to ship code to production, collaborate with Fortune 500 clients, and take ownership of high-impact work. In previous summers, interns built platform integrations that are now used by major clients. Compensation $80,000 - $120,000 annual, prorated for the internship period Interview Process Behavioral screening Take-home case study or technical interview Two-day work trial (timing is flexible) Location San Francisco, CA (in-office)

Join Context AI as a Software Engineer - MTSAbout UsAt Context AI, we are dedicated to revolutionizing productivity for knowledge workers. Our mission is to create enterprise AI systems that not only answer questions and automate tasks but also handle complex, high-stakes work that truly drives business success. We have identified that the primary barrier to realizing the potential of AI in enterprises is not the intelligence of the models, but rather the understanding of institutional knowledge - the intricate ways organizations function, where information is stored, the quality standards in play, and the processes that drive work completion.Our innovative platform learns the unique context of each organization, capturing vital elements such as tribal knowledge, business rules, internal lexicons, and tacit expertise that contribute to delivering production-quality work. Context AI enables seamless connections to vast datasets, empowering AI agents to perform essential tasks, from engineers analyzing firmware logs for root cause identification, to bankers conducting due diligence in extensive data rooms, to analysts refreshing reports with real-time market data and consulting teams crafting client deliverables.We have successfully demonstrated our capabilities with Fortune 100 clients, achieving significant productivity gains between 30-40%, drastically reducing cycle times by over 90%, and deploying solutions in mere days rather than months. Operating around the clock, our global team at Context AI liberates knowledge workers to concentrate on strategic opportunities and explore new avenues for growth.Why Choose Context AI?Transformative Impact: As part of our team, you will contribute to the boundless potential of enterprise AI, reshaping the work landscape for numerous professionals including engineers, bankers, analysts, consultants, product managers, and lawyers.Engaging Technical Challenges: You will have the opportunity to design systems that have never been built before, tackling problems that have yet to be solved.Empowered Ownership: We value autonomy and trust our engineers to influence product direction and take full ownership of the systems they develop.Exceptional Team: Join an elite group of professionals from top-tier companies like Apple AI, Microsoft Research, Google, and others, and learn from the best in the industry.Your RoleAs a Software Engineer - MTS at Context AI, you will develop the foundational platform that empowers AI agents to execute complex and high-stakes tasks for Fortune 100 enterprises. You will be at the cutting edge of technology, shaping the future of work.

About Context AIJoin us in revolutionizing productivity for knowledge workers.At Context AI, we are pioneering the future of enterprise AI—developing systems that go beyond merely answering questions or automating straightforward tasks, to executing complex, judgment-intensive work that significantly impacts business outcomes. The main barrier to AI delivering true enterprise value is no longer model intelligence; it is institutional intelligence. This involves understanding organizational operations, the locations of vital information, important quality standards, and the actual workflows within a business.Our platform addresses this challenge by autonomously learning the unique context of each organization—the tribal knowledge, business rules, internal language, and tacit expertise that define high-quality work. Every task on Context connects to extensive data across entire codebases, data rooms, and operational systems, allowing AI agents to undertake genuine tasks traditionally performed by knowledge workers: engineers analyzing firmware logs for root cause identification, bankers conducting due diligence on massive data rooms, analysts updating deliverables with real-time market data, and consulting teams developing client presentations and websites.We have validated our system with Fortune 100 clients, achieving productivity enhancements of 30-40%, reducing cycle times by over 90%, and deploying solutions in days instead of months. Context AI operates continuously across global teams, enabling knowledge workers to concentrate on strategic initiatives and explore new growth opportunities.Why Choose Context AI?Transformative Impact: The potential of enterprise AI is limitless, and we are at the forefront. Here, you will develop software that revolutionizes the work experience for thousands of engineers, bankers, analysts, consultants, product managers, lawyers, and more.Engaging Technical Challenges: Design innovative systems that have never been built before to solve unprecedented problems.Meaningful Ownership: We empower our team members to have a direct influence on product direction and to own entire systems. At Context, you will propose, build, and ship features with full autonomy.Elite Team Collaboration: Join a world-class team comprised of talent from Apple AI, Microsoft Research, Google, Stripe, Ramp, and more. Work alongside and learn from the best in the industry.Your RoleAs a Forward Deployed Software Engineer (FDSE) at Context AI, you will be at the intersection of cutting-edge AI and real-world complexity. You will engage directly with Fortune 100 clients to build AI agents capable of executing challenging tasks...

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 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 OverviewAt Echo Neurotechnologies, we are pioneering advancements in the Brain-Computer Interface (BCI) sector. Our innovative approach combines state-of-the-art hardware engineering with artificial intelligence to create technologies that empower individuals with disabilities, enhancing their independence and overall quality of life.Team CultureBecome a part of our small, passionate team of skilled professionals committed to making a difference. In our dynamic startup environment, you will have the chance to influence critical decisions that have a lasting impact. We prioritize continuous learning and collaboration, where your expertise is essential for our collective success.Position Overview:As the Supplier Quality Manager, you will collaborate with cross-functional teams to lead Supplier Quality initiatives throughout the product development process. You will uphold the highest quality standards and ensure compliance with all relevant regulations. This hands-on role requires extensive experience in supplier management, risk assessment, manufacturing line initiation, and design transition. You will be responsible for establishing scalable quality systems and executing vital quality engineering tasks across various projects.Primary Duties & Responsibilities:Oversee the selection, evaluation, and monitoring of suppliers while maintaining the Approved Supplier List (ASL).Work closely with suppliers to define quality agreements and technical requirements.Assess supplier risks and collaborate with teams to mitigate potential issues that could disrupt business operations.Develop and maintain procedures to ensure compliance with applicable regulatory standards.Guide suppliers and technical teams through essential processes, including FMEAs, control plans, validation strategies, and equipment qualifications.Coordinate with Engineering and Operations to establish manufacturing test specifications and quality inspection criteria.Manage Supplier Audits, Qualifications, Corrective Actions (SCARs), Change Assessments, and Non-conformance Reports (NCRs).Participate in Material Review Board (MRB) decision-making processes.

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.

About UsAt Koah Labs, we are pioneering the advertising network that will drive the future of AI-native products. Our mission is to empower publishers in monetization while enabling advertisers to effectively reach their target audiences, all without sacrificing speed, user experience, or privacy.We are a passionate and close-knit team based in San Francisco, boasting a wealth of experience from industry leaders such as X, Apple, Meta, and various early-stage startups. With backing from top investors, we are rapidly expanding and gaining real traction on both the publisher and advertiser fronts.Joining Koah means becoming part of something transformative from the ground up. You will have the opportunity to ship code that influences not just our company but the broader ecosystem we are building. We prioritize speed, trust, and a deep commitment to our craft.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Technologies: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDKs: Flutter, React Native, Android, iOSSample ProjectsDeveloping efficient algorithms for real-time bidding systems, leveraging current pricing literature.Creating and deploying regression models that predict end conversions based on demographic, audience, and semantic data.Utilizing privacy-preserving clustering techniques to categorize conversational data, enhancing advertiser outreach.Conducting comprehensive data analysis to uncover insights that can enhance our primary ad matching system, balancing both publisher and advertiser goals.

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.

Join Demandbase as an Applied AI Scientist, where you'll have the opportunity to push the boundaries of AI technology in a dynamic and innovative environment. As a key member of our team, your role will involve developing and implementing advanced AI solutions that drive impactful business results.We're looking for a passionate individual who thrives on solving complex problems and is eager to contribute to AI advancements. You will collaborate with cross-functional teams to integrate AI models into our existing frameworks and enhance our product offerings.

Company OverviewAt Echo Neurotechnologies, we are pioneers in the Brain-Computer Interface (BCI) domain, committed to transforming lives through innovative hardware engineering and AI technology. Our mission is to create state-of-the-art solutions that empower individuals with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome a part of our dynamic team of passionate and skilled professionals. As a startup in its early stages, we offer a unique environment where you can significantly influence key decisions that drive lasting impact. We prioritize continuous learning and development, fostering a collaborative atmosphere where your contributions are essential to our progress.SUMMARYThe Senior Supply Chain Planner / Buyer plays a crucial role in overseeing the complete supply planning and procurement processes, with a strong focus on managing relationships with external manufacturing partners, contract manufacturers, and vital suppliers. This position ensures a seamless supply chain for prototype, clinical, and commercial medical device products by harmonizing demand and supply, establishing effective supply plans, and coordinating material readiness across the entire supply chain. You will work closely with various departments, including Manufacturing, Quality, R&D, Regulatory, and Finance, to align supply with demand, ensure adherence to schedules, and enhance supplier capabilities for sustainable growth. Additionally, you will serve as the operations owner of our ERP system (e.g., NetSuite), driving improvements in data integrity, planning parameters, and end-to-end workflows.PRIMARY ROLE AND RESPONSIBILITIESFacilitate S&OP inputs, aligning demand forecasts, supply, capacity, and material availability to support 12–18-month rolling business plans.Conduct scenario planning and capacity modeling to proactively identify constraints and ensure readiness for development, clinical, and commercial phases.Monitor supplier lead times, yield assumptions, MOQ impacts, and procurement strategies to construct stable plans and manage risks effectively.Translate forecasts, engineering build plans, and project needs into actionable schedules and supplier purchase orders, ensuring timely availability of finished goods and materials.Collaborate with Engineering to clearly define component specifications, inspection criteria, and acceptance requirements.Lead day-to-day interactions with external supply partners, CMs, and critical suppliers to ensure capacity, material availability, and supply chain integrity.

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.

Role overview Coframe is looking for Applied Scientists based in the San Francisco Bay Area. This position focuses on transforming platform data into actionable insights and results. The work brings together reinforcement learning, experimentation, and systems for personalization or ranking. What you will do Build models and strategies that support customer growth with limited manual intervention Use reinforcement learning and experimentation methods to address practical challenges Convert raw data into recommendations that guide strategic choices Location This role is based in the San Francisco Bay Area.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

Who Are We?Postman is the premier API platform, empowering over 45 million developers and 500,000 organizations, including 98% of the Fortune 500. We are dedicated to fostering an API-first world by simplifying the entire API lifecycle and enhancing collaboration, enabling users to create superior APIs swiftly.Headquartered in San Francisco, we have offices in major cities like Boston, New York, Austin, Tokyo, London, and Bangalore, where our journey began. As a privately held entity, we have garnered support from notable investors including Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Discover more at postman.com or connect with us on X via @getpostman.P.S: We highly recommend exploring The "API-First World" graphic novel to gain insights into our vision at Postman.The OpportunityAs an Applied Scientist focusing on Small Language Models and AI Training, you will spearhead research and development initiatives aimed at crafting efficient, high-performance language models for real-world applications. Collaborating closely with research, engineering, and product teams, you will enhance model training techniques, optimize architectures, and scale AI solutions. Your contributions will play a crucial role in creating AI systems that are safe, interpretable, and impactful across various applications.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.