Applied AI Scientist at Echo | San Francisco

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.

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 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 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.

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.

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.

Join Our Team as a Senior Applied Scientist!At Gridware, we are on a mission to revolutionize grid management through innovative technology. Based in San Francisco, we are pioneering a cutting-edge approach known as Active Grid Response (AGR). This initiative focuses on enhancing the reliability and safety of the electrical grid by monitoring its electrical, physical, and environmental parameters. Our advanced platform leverages high-precision sensors to identify potential issues early, facilitating proactive maintenance and minimizing outages. Backed by leading climate-tech and Silicon Valley investors, we are poised to make a significant impact in the energy sector. For more insights on our work, visit www.Gridware.io.Role Overview:We are looking for a talented Senior Applied Scientist with a strong background in machine learning and digital signal processing (DSP). In this role, you will be responsible for designing sophisticated models that operate on diverse time-series sensor data within resource-constrained environments. Your work will involve developing algorithms that optimize for accuracy while adhering to strict power and memory constraints, thereby advancing Gridware’s edge intelligence capabilities. This position requires a blend of applied research, model optimization, and close collaboration with hardware and firmware teams to implement low-level solutions.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.