Senior Staff AI Research Engineer

About CampusCampus is transforming the landscape of higher education with a bold mission: to accelerate the development of tomorrow's talent and redefine the college experience for today’s aspiring students. As college expenses soar, the outcomes remain stagnant, leaving students in a lurch. We believe that traditional education must evolve to meet the ambitions of modern learners who cannot afford to wait.At Campus, we offer a cutting-edge, accredited two-year college program where students engage with esteemed professors from top-tier universities such as Princeton, Stanford, and Howard through dynamic, live online classes. Our graduates emerge equipped with essential business and AI skills, prepared to embark on their careers or transfer to prestigious four-year institutions. Our innovative approach is built upon a state-of-the-art technology platform and a meticulously researched model of student success that ensures each learner receives personalized guidance and on-demand academic support. We are honored to be recognized as one of Fast Company's Most Innovative Companies of 2024.Supported by an exceptional group of investors who share our passion for the future of education—including General Catalyst, Founders Fund, Bloomberg Beta, 8VC, Rethink Education, and notable figures like Sam Altman and Shaquille O’Neal—we are poised to lead the charge in educational innovation.As the landscape of higher education evolves, we are at the forefront of change. Join us in shaping the future!About the RoleWe are in search of a Senior Staff AI Research Engineer who is passionate about making Campus the leading organization in AI-driven learning. This pivotal role calls for extensive technical expertise in machine learning and a fervor for creating innovative systems that enhance and personalize the student experience. You will spearhead research initiatives, develop production-ready AI features, and contribute to scholarly publications that push the boundaries of AI in education.Your Journey with Us Will Involve:Designing and developing groundbreaking AI systems to enrich the Campus learning experienceConducting thorough experiments to validate the efficacy of these systems...

Role overview Decagon seeks a Staff Research Engineer based in New York City. This position helps guide research efforts and supports the development of technical solutions that serve a range of industries. The Staff Research Engineer works alongside a skilled team, taking projects from early ideas through to working implementations. What you will do Advance research initiatives at Decagon through direct engineering contributions Collaborate with team members to design and build new technical solutions Apply technical expertise to projects that impact several sectors Requirements Solid background in both research and engineering Interest in tackling complex technical problems Strong collaborator who values team-based problem solving

Nagarro is hiring a Senior Staff Engineer to lead AI-focused initiatives in New York City. This position centers on steering teams as they design and deliver advanced artificial intelligence solutions. Role overview This role involves taking charge of major AI projects, shaping technical direction, and ensuring high standards throughout the development process. The Senior Staff Engineer will help teams translate complex requirements into practical, AI-powered products that strengthen Nagarro's portfolio. What you will do Guide and mentor engineering teams working on artificial intelligence projects Drive the development of new AI solutions to improve existing offerings Oversee project execution from concept through deployment Requirements Extensive experience in artificial intelligence engineering Strong leadership skills in technical team settings Ability to manage and deliver complex AI-driven projects

About SecurityScorecard: SecurityScorecard is the premier authority in cybersecurity ratings, continually assessing over 12 million companies across 64 countries. Established in 2013 by cybersecurity pioneers Dr. Alex Yampolskiy and Sam Kassoumeh and backed by top-tier investors, our innovative rating technology is utilized by more than 25,000 organizations for self-assessment, third-party risk management, board reporting, and cyber insurance underwriting. Our mission is to enhance the resilience of organizations by simplifying the identification and remediation of cybersecurity vulnerabilities throughout their digital landscape. Based in New York City, our workplace culture has earned accolades from Inc Magazine as a "Best Workplace," and recognition from Crain’s NY as one of the "Best Places to Work in NYC." We are proud to have been listed among the 10 hottest SaaS startups in New York for two consecutive years. Recently, SecurityScorecard was featured on Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and received the Achievers 50 Most Engaged Workplaces award in 2023, highlighting our commitment to employee engagement. We are grateful for the support of our esteemed investors, including Silver Lake Waterman, Moody’s, Sequoia Capital, GV, and Riverwood Capital.

Why Join Moonshot AI?Envision a web that autonomously transforms itself to enhance sales, improve conversions, and accelerate growth.At Moonshot AI, we’re pioneering this future by integrating generative AI, extensive data processing, and innovative experimentation into a self-adaptive online ecosystem.As a well-capitalized, early-stage startup with grand ambitions, your role here transcends that of a typical employee — you’ll actively contribute to shaping the company’s technical and cultural foundation. If you've ever aspired to have the freedom of a founder while being supported by elite investors, this opportunity is for you.What You'll Create & LeadIn the position of Staff Software Engineer, you will serve as the technical cornerstone of Moonshot's evolution engine, responsible for designing scalable systems, steering engineering strategy, and mentoring your colleagues.Your work will blend hands-on expertise with high-level architectural insight, transforming visionary ideas into technical realities.You will:Innovate at the forefront of generative AI - develop systems that empower AI to autonomously reason, experiment, and implement tangible changes to the web.Architect the next generation of our experimental engine - ensuring it is scalable, observable, fault-tolerant, and capable of handling millions of daily events.Design and advance our backend infrastructure utilizing Python (Flask-RestX), serverless AWS, and various data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3).Lead technical strategy - establish our engineering principles and evolve the architecture across microservices, data ingestion, and LLM-driven systems.Mentor and uplift - enhance the skills of senior and mid-level engineers through code reviews, collaborative programming, and detailed design documentation.Collaborate across teams - partner with AI, product management, and data science to translate business objectives into robust systems.Prototype and expand boundaries - rapidly bring concepts to production while balancing experimentation with thoroughness.Enhance performance, security, and reliability as we scale towards SOC 2 certification and enterprise clientele.This role emphasizes technical leadership without the responsibilities of people management: pure design, significant leverage, and complete ownership.

Decagon seeks a Senior Research Engineer based in New York City. This role centers on driving research initiatives and developing new technologies that align with the company’s objectives. Role overview The Senior Research Engineer collaborates with team members from various disciplines. The work involves designing experiments, analyzing outcomes, and creating solutions for complex challenges. Key responsibilities Advance research projects that contribute to Decagon’s goals Build and refine technologies to address technical problems Work with colleagues from diverse backgrounds to design experiments and interpret findings

Join Kepler AI: Redefining Trust in AI.At Kepler, we understand the critical nature of data integrity in AI tools. Our innovative architecture eliminates the possibility of hallucination, ensuring that every output is derived from verifiable sources. This means dependable answers for those making high-stakes decisions.With over 950,000 SEC filings, 14,000 companies, and 40 million documents across 27 global markets, our platform is trusted by firms that cannot afford to be wrong.We aim to provide a universal verification layer for AI, starting with finance and expanding into healthcare, legal, and insurance sectors. Our founders bring extensive expertise from industry leaders like Palantir, Citadel, and OpenAI.The RoleAs a Forward Deployed Engineer at Kepler, you will play a pivotal role in shaping our relationships with key clients. Your responsibilities will include deploying and customizing our AI-native research platform to meet the unique workflows of sophisticated financial firms and research organizations.This role embodies our principle of being "Forward-Deployed with Product DNA," meaning you will directly collaborate with clients to ensure their success while enhancing our platform for broader market use. Your code will influence significant financial outcomes.In your first 90 days, you will:Quickly create and refine vertical applications built on our core platform.Collaborate with Portfolio Managers managing over $10 billion in assets to design and implement tailored workflows.Gain deep insights into agentic tools, products, and technologies.Take ownership of the customer engagement process from start to finish.This is the ideal position for individuals eager to innovate in the future of financial research.

Senior AI EngineerAbout Fonzi AIFonzi AI is a dynamic startup with robust funding, reshaping the hiring landscape through innovative AI solutions. Launched recently, we have quickly garnered thousands of talented engineers to our platform. Our mission is to create an AI-driven recruiting marketplace that connects millions of job seekers with employers, where intelligent AI recruiters learn about individual preferences and seamlessly match candidates with ideal opportunities.The RoleWe are on the lookout for a Senior AI Engineer who will spearhead the development of groundbreaking AI experiences that will shape the future of recruitment. In this role, you will work closely with our engineering team, collaborating with full-stack engineers to integrate AI capabilities into our platform. Your AI features will be integral to the overall functionality of our application.You will engage in AI experimentation, implementation, and teamwork to deliver cohesive products. If you have experienced that transformative moment when AI revolutionizes how we work and are eager to create products that embody that potential for users, this position is tailored for you.What You'll DoDevelop AI agents capable of engaging in meaningful conversations with candidates and recruitersDesign and implement AI-driven features from the ground up, including voice interfaces, coaching systems, and intelligent matching algorithmsExperiment with cutting-edge models and techniques, making informed decisions regarding cost, quality, and speedProduce high-quality production TypeScript code that transforms AI concepts into reliable user experiencesRapidly prototype new AI functionalities and scale successful innovations to serve thousands of usersCollaborate closely with the engineering team to ensure seamless integration of AI features across the entire platformWork alongside full-stack engineers to pinpoint opportunities where AI can enhance the recruitment experienceStay abreast of developments in the AI field while maintaining focus on delivering tangible productsRequired ExperienceProven AI development experience: You have successfully built and deployed AI/LLM features in production for over a yearFull-stack engineering skills: Strong expertise in TypeScript, React, and Next.js, able to contribute to all aspects of development

Join our dynamic team at Anthropic as a Research Engineer or Research Scientist specializing in Tokens. In this role, you will engage in groundbreaking research and development, contributing to the advancement of our token systems and enhancing their capabilities. Your work will be pivotal in shaping the future of our technology and driving innovation in our projects.

Kepler: AI You Can Trust and VerifyAt Kepler, we recognize that every AI tool comes with its challenges, particularly when it comes to data interpretation. Traditional models often guess numbers, fabricate sources, and provide inconsistent answers, which is unacceptable for professionals making multimillion-dollar decisions.Our proprietary architecture eliminates the problem of hallucination by ensuring that AI accurately interprets intent. Deterministic code retrieves precise figures from source documents, ensuring that our model never produces a number that could be incorrect. Every output is traceable to specific filings, with transparent calculations that are defensible.Currently operational with over 950,000 SEC filings, 14,000 companies, and 40 million documents across 27 global markets, we are trusted by firms that cannot afford to be wrong.While our architecture is domain-independent, our initial focus is on finance—where the need for accuracy is most critical. Future expansions include healthcare, legal, and insurance sectors, utilizing the same system with new data sources. Our vision transcends a single finance product; we are constructing the verification layer for the entire AI ecosystem.Founded by industry veterans Vinoo Ganesh (7 years at Palantir, former Head of Business Engineering at Citadel) and Dr. John McRaven (11 years at Palantir, creator of the analytics engine behind over $100 million in contracts with BP and Airbus, Ph.D. in Physics), we are backed by pioneers from OpenAI, Facebook AI Research, MotherDuck, dbt, and Outerbounds.The RoleAs a Senior Forward Deployed Software Engineer at Kepler, you will serve as the technical architect for our most significant client relationships. Collaborating directly on-site with our key customers—including sophisticated financial firms and research organizations—you will deploy, customize, and optimize our AI-native research platform to meet their unique workflows and requirements.This role embodies our core principle: 'Forward-Deployed with Product DNA.' By embedding directly with clients, you will not only own their outcomes but also contribute to the platform that serves the entire market. Your coding decisions will significantly impact high-stakes research outcomes.Within the first 90 days, you will:Quickly build and develop vertical applications atop our core platform.Engage with Portfolio Managers at institutions managing over $10 billion in assets under management (AUM) to define and construct workflows.Cultivate profound expertise in agentic tooling, products, and technologies.Take ownership of customer engagements from inception to completion.This position is ideal for individuals eager to shape the future of financial research while working closely with the world's leading analysts.

Voleon Securities is seeking a highly skilled and experienced Senior Member of Research Staff to join our dynamic team in New York City. In this pivotal role, you will leverage advanced quantitative techniques and cutting-edge data analysis to drive our research initiatives forward. You will collaborate with a talented group of professionals to develop innovative algorithms and models that enhance our trading strategies and improve overall performance.As a Senior Member of Research Staff, you will be expected to mentor junior researchers, contribute to the intellectual growth of the team, and lead critical research projects. Your expertise will play a crucial role in shaping our research direction and ensuring the success of our strategic objectives.

About Amperos HealthAmperos Health is a pioneering force in the realm of revenue cycle management (RCM) solutions, dedicated to empowering healthcare clinics to optimize their revenue collection processes efficiently. Established in 2023 and supported by prominent investors including Uncork, Neo, Nebular.vc, and renowned figures from OpenAI, Stripe, and Twilio, we strive to revolutionize the connection between healthcare providers and payers. Our goal is to provide healthcare professionals with an advanced AI workforce that alleviates administrative challenges and accelerates revenue flow.About the RoleAs an AI Research Engineer on our innovative research team, you will tackle some of the most challenging AI and research infrastructure problems we face. Your responsibilities will include prototyping cutting-edge products and transforming these prototypes into high-quality AI solutions. A key challenge will be achieving a level of AI sophistication that allows our systems to convincingly pass the healthcare billing Turing Test—ensuring that insurance agents and healthcare billers perceive our AI as human. Specifically, your focus will be on enhancing our AI agents' capabilities, making them more human-like, and enabling them to gather more precise and comprehensive results from insurance interactions.Key ResponsibilitiesPrimarily responsible for refining models, orchestrating large language models (LLMs), optimizing prompts, developing evaluation frameworks, and enhancing AI infrastructure.Support agent and workflow product engineers in their projects.Take ownership of AI quality and drive improvements.Define and oversee the overarching vision for comprehensive AI orchestration across modules.Address the most challenging research problems (e.g., anti-AI measures).Engage in a blend of machine learning, data science, and applied LLM work, with a strong emphasis on Python programming.Ideal Candidate ProfilePassionate about staying updated on the latest LLM research and trends.Extensive experience in the design and implementation of AI agents.Keen to experiment with the latest AI advancements (e.g., OpenAI voice mode, Claude Computer-Use) to explore their application in real-world healthcare billing scenarios.Experience working with complex distributed systems involving numerous asynchronous operations.Enthusiastic about advancing the frontiers of conversational AI technology.Ability to balance rapid experimentation with thorough evaluation.Exceptional mastery of Python programming.

Who We AreAt Percepta, our mission is to revolutionize essential sectors through applied AI. We are dedicated to ensuring that key industries, such as healthcare, manufacturing, and energy, leverage cutting-edge technology. By collaborating with industry leaders, we facilitate AI transformation.Expertise in engineering, product development, and research.Mosaic, our proprietary toolkit for swift deployment of agentic workflows.Strategic alliances with companies such as Anthropic, McKinsey, AWS, and others in the General Catalyst portfolio.Our team is rapidly expanding, consisting of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating AI advancements into our daily lives. Percepta is a direct partnership with General Catalyst, a global leader in transformation and investment.About the RoleAs a Research Engineer/Scientist (Optimization) at Percepta, you will play a crucial role at the convergence of AI research and impactful real-world applications. You will push the boundaries of decision-making in vital industries by integrating state-of-the-art machine learning with robust optimization research. Collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure that our advanced decision systems are both innovative and practically beneficial for transforming organizational operations.ResponsibilitiesEstablish and lead ambitious research initiatives that broaden the horizons of data-driven decision-making.Develop innovative optimization and machine learning methodologies for significant challenges such as planning, scheduling, routing, pricing, and inventory management.Create high-fidelity simulators and comprehensive benchmarks that accurately reflect real-world constraints, uncertainties, and multi-objective trade-offs.Translate research into practical applications by partnering with engineers to swiftly prototype solutions and effectively implement research insights.You May Be a Great Fit If YouHold a degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred) or possess equivalent research or industry experience.Have demonstrated experience in optimization and machine learning.Exhibit a strong ability to collaborate and communicate effectively across multidisciplinary teams.

At Confido, we are revolutionizing the AI infrastructure for consumer packaged goods (CPG) brands, streamlining everything from deductions to production planning. Our platform integrates cash applications, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics into a cohesive system. The outcome is significant time savings, enhanced decision-making capabilities, and accelerated growth potential.We proudly serve over 200 brands, managing more than $20 billion in revenue, with clients like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana.With our recent successful $15 million Series A funding round led by Footwork Ventures and Y Combinator, we are poised for rapid expansion.As a Staff AI / ML Engineer, you will play a crucial role in developing and implementing the core AI systems that power our platform, including LLM-driven document understanding and predictive models that assist brands in making informed decisions.This foundational position will involve direct collaboration with our CEO and CTO to define our long-term AI strategy and architecture.

Kepler: The AI you can trust and verify.Every AI tool has inherent flaws: the model interacts with data, leading to inaccuracies—be it fabricating sources or providing inconsistent answers. For those making crucial million-dollar decisions, this isn’t just a flaw; it's a dealbreaker.At Kepler, we have engineered an architecture that makes hallucination structurally impossible. Our AI interprets your intent while deterministic code retrieves precise figures from source documents. The model never generates arbitrary numbers, ensuring every output can be traced back to a filing, a page, or a line item, with every calculation clearly showing its formula. This guarantees defensibility in all answers.In production, we handle over 950K SEC filings, 14K+ companies, and 40M+ documents across 27 global markets, trusted by firms that can't afford to be wrong.Our architecture is domain-independent, starting with finance where the pain points are most acute, and extending to healthcare, legal, and insurance sectors. We’re not just creating a finance product; we're building the verification layer for the entire AI ecosystem.Founded by Vinoo Ganesh (7 years at Palantir, former Head of Business Engineering at Citadel) and Dr. John McRaven (11 years at Palantir, creator of the analytics engine behind $100M+ contracts with BP and Airbus, Ph.D. in Physics). We are backed by the founders of OpenAI, Facebook AI Research, MotherDuck, dbt, and Outerbounds.The RoleAs the Head of AI Research, you will set the research agenda to ensure AI is trustworthy for enterprise decision-making. At Kepler, we’ve tackled hallucination not by enhancing model intelligence but by designing systems where such issues cannot occur. AI interprets intent, and code retrieves data, linked through a semantic layer. Every output is directly traced to its source.We are seeking an innovative leader to advance the boundaries of what is achievable within this architecture.You will spearhead research in agentic systems, memory architectures, retrieval techniques, and evaluation frameworks. You will have access to unique financial data, including structured filings, earnings transcripts, market feeds, research reports, and live audio—all normalized with full provenance. This isn't another lab creating demos; your contributions will directly impact production, empowering financial professionals who make high-stakes decisions.This position is perfect for researchers eager to develop AI systems that operate effectively in high-stakes environments, where every answer is substantiated and every insight can be traced back to the truth.

Our MissionAt Reflection AI, we are dedicated to creating open superintelligence that is accessible to everyone.Our innovative team is developing open weight models tailored for individuals, agents, enterprises, and even nation states. Our group of AI researchers and industry pioneers hail from top organizations including DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Your Role's MissionAs a crucial member of our team, you will play a pivotal role in bridging the divide between research and production by converting advanced algorithms into scalable training systems. Your expertise will help design and optimize the foundational infrastructure that supports cutting-edge AI models — including reinforcement learning training loops, distributed GPU training, and extensive data pipelines.Our systems are engineered to train models across thousands of GPUs while managing petabyte-scale datasets. We prioritize numerical stability, high throughput, and reproducibility in our processes.Team OverviewThis team is responsible for the evolution and management of the core infrastructure that underpins our training systems.Our focus areas include:Reinforcement learning training infrastructureDistributed training and inference systemsExperiment infrastructure and reproducibilityLarge-scale data pipelinesOur goal is to construct an engineering foundation that enables researchers to iterate swiftly while training models at a massive scale.Role OverviewYou will be responsible for architecting and optimizing the core training infrastructure that powers our models, including RL training loops, distributed GPU systems, and large-scale data pipelines.Collaborating closely with researchers, you will assist in transforming innovative ideas into reliable, scalable training systems.Key Responsibilities:Design and optimize large-scale training loops and data pipelines.Implement cutting-edge techniques while ensuring numerical stability and computational efficiency.Develop internal tools for launching, monitoring, and reproducing complex experiments.Identify and resolve deep bottlenecks across the training stack (e.g., GPU memory issues, communication overhead, dataloader stalls).Translate research prototypes into reusable, production-grade infrastructure.

About UsAt Contra Labs, we are a pioneering research lab dedicated to exploring the intersection of creativity and artificial intelligence. Our mission is to comprehend how creatives leverage AI, enhance AI tools to better meet creative demands, and uphold the diversity and originality that characterize exceptional creative work in an increasingly standardized world.We bridge a global network of elite creative professionals with cutting-edge AI laboratories and product companies. By embedding our research in authentic creative workflows, we establish benchmarks for excellence across various mediums including design, video, and imagery. Our findings directly inform the benchmarking, evaluation, and post-training processes for leading AI models and applications.As a subsidiary of Contra, the professional network for independent creatives, Contra Labs transforms human insights into the training and evaluation framework that empowers AI tools to serve their users effectively. Our focus remains steadfastly on the creative community.Role OverviewAs Contra Labs expands its client engagements in areas such as dataset creation, benchmarking, and evaluation partnerships, we are in search of a dedicated HCI Researcher. This role will entail overseeing the research and delivery processes from inception to completion. You will work across various projects involving AI labs, creative tool companies, and research teams, each with unique requirements and timelines. Your responsibilities will include scoping methodologies, designing evaluation protocols, assembling evaluator teams, maintaining quality standards, and ensuring the delivery of actionable insights.Key ResponsibilitiesDesign and lead comprehensive research studies, including annotation protocols, rubrics, and evaluation methodologies for multifaceted creative outputs.Conduct qualitative and quantitative analyses, synthesizing results into actionable insights and recommendations for our clients.Collaborate with creative domain experts, manage evaluator teams, and ensure consistent quality through real-time adjustments.Establish and standardize protocols for annotation, data quality, and inter-rater reliability across various projects.Effectively communicate research findings to stakeholders through comprehensive reports, engaging presentations, and interactive workshops.Work closely with engineering teams to address tooling requirements and contribute to Contra Labs' visibility through case studies and benchmark publications.Translate client objectives into meticulously crafted research plans, managing multiple concurrent projects with varying timelines and requirements.

About UsAt Mirror Physics, based in New York City, we are pioneering advancements in artificial intelligence aimed at revolutionizing scientific simulations. Our intelligent systems are designed to grasp the fundamentals of physics, significantly accelerating research and development across various technological domains. We are on a mission to create the most advanced AI platform capable of predicting experimental outcomes in chemistry and materials science, seamlessly integrating with reality through high-throughput experimental verification, thereby speeding up discoveries in biotechnology, energy, manufacturing, and more. Supported by top-tier investors and scientific authorities, we are expanding our research team at a crucial juncture in our field.Your RoleAs the lead for multimodal AI at Mirror Physics, you will be at the forefront of designing and training generative models that merge language, vision, and chemical structures. Your work will be essential in addressing some of society's most critical challenges by leveraging high-quality observational data to foster large-scale concept discovery in physics, chemistry, and materials science.Key ResponsibilitiesDevelop and construct multimodal architectures that integrate text, visual inputs, and chemical structures.Curate and harmonize diverse datasets sourced from scientific literature, experimental results, and high-fidelity physical simulations.Establish training pipelines for extensive pre-training and instruction tuning on multi-GPU/TPU clusters.Innovate evaluation methods for cross-modal reasoning (e.g., translating text to structure, visualizing reaction pathways) and physical consistency.Collaborate with AI, applied science, and engineering teams to integrate multimodal embeddings into our product pipeline, enhancing search functionalities, reasoning agents, and generative design loops.Engage with the AI-for-science community through active publication and participation in conferences like NeurIPS, ICML, and ICLR.QualificationsPh.D. or M.S./B.S. in Computer Science, Materials Science, Chemistry, or a related field with a strong focus on machine learning.A minimum of 3 years of research experience working with at least two modalities (language, vision, 3-D molecular structures, point clouds, graphs).Proficiency in Python and modern machine learning frameworks (PyTorch/JAX), along with experience in distributed training tools (CUDA, NCCL, Slurm/K8s/Ray).Demonstrated ability to publish research findings in reputable conferences and journals.

Our VisionAt Reflection AI, we are dedicated to the mission of creating open superintelligence and ensuring it is accessible to everyone. Our team is committed to developing open weight models that cater to individuals, agents, enterprises, and even nation-states. Our diverse group of AI researchers and innovators hail from esteemed organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Foundational ObjectivesVision:We aim to establish and manage a company-wide foundational platform that enhances every team’s productivity by delivering dependable, scalable developer infrastructure, site reliability engineering capabilities, and high-throughput data ingestion tools—empowering Reflection AI to progress swiftly as we expand.Team ResponsibilitiesOur team is responsible for constructing and managing essential shared services that fuel our research, training, and production environments. These systems form the backbone that supports various teams in model development, deployment, and evaluation, integrating data, compute, and workflow management while facilitating rapid experimentation and robust production systems.Design and manage shared services that multiple teams utilize across research and production workflows.Establish and maintain reliability targets through Service Level Indicators (SLIs), Service Level Objectives (SLOs), and effective on-call practices.Ensure operational readiness through comprehensive runbooks, incident playbooks, and capacity planning.Guarantee correctness and performance under load, addressing issues like consistency, tail latency, and failure modes.Create APIs, SDKs, and internal platforms that support high-velocity experimentation and iteration.Minimize operational burden through enhanced tooling, standardization, and scalable platform patterns across teams.Technologies You'll Engage WithContainer Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.Service Development Stack: gRPC, Protobuf, Go, Rust, C++.Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.Your ProfileWe are looking for a talented individual with a solid background in distributed systems and a passion for building scalable solutions.

Join Norm Ai as a Senior/Staff Full Stack EngineerAt Norm Ai, we are revolutionizing the Legal & Compliance industry through cutting-edge AI technology. Our innovative platform empowers enterprises to enhance their legal and compliance processes, ensuring speed, reliability, and trust.With over $30 trillion in assets managed by our clients and recent funding exceeding $140 million from prominent investors like Blackstone and Bain Capital, we are positioned for rapid growth and expansion.As a Senior/Staff Full Stack Engineer, you will play a critical role in developing our advanced AI-driven compliance solutions. Your expertise will contribute to both front-end and back-end development, influencing how our technology transforms the legal landscape.AI Fluency:We expect our team members to leverage AI tools actively in their work. Candidates should be prepared to showcase their practical experience with AI applications, detailing workflows and outcomes during the interview process.