Careers at Pangramlabs

About Pangram Labs Pangram Labs builds state-of-the-art AI detection software. Our models identify AI-generated text and images, and we bring that capability to our users through our web app, browser extensions, platform integrations, and API. Pangram serves teachers and universities, publishers, newsrooms, hiring teams, and enterprises. We are a small team based in person in Brooklyn, New York. The Role We are looking for mid-level and senior Full-Stack and Product Engineers with great product sense and programming skills. Full-stack engineers at Pangram own the product lifecycle from end-to-end: assisting designers and PMs in understanding our users, architecting product flows, building clean UIs, microservices, and APIs, and owning instrumentation and observability. Responsibilities Own and ship product features end-to-end in both consumer and B2B verticals. Work closely with GTM, Product, and Research functions to bring Pangram’s machine learning technology to polished user experiences Turn design specs and prototypes into shippable, working products Review code and raise the quality bar for code across the company Requirements At least 3 years of professional software engineering experience Fluency in Python and a modern front-end framework (we use React and Next.js with Typescript) Fluency in relational databases, APIs, and microservices Experience with integrating third-party services Fluency and comfort with AI coding tools and thoughtfulness around their use Based in or willing to relocate to the NYC area to work from our office on a hybrid schedule Comfort across the stack: front-end and back-end, with strength in either and at minimum comfort in the other. A strong sense of taste and craftsmanship, bias towards action, and clear communication skills Nice to have Experience with browser extensions Experience with mobile apps Working experience at an early stage startup Interest in AI, machine learning, and LLMs; including AI safety and responsible AI

About Pangram Labs Pangram Labs is an AI research lab building state of the art detection products for text and image. We believe that transparency around authenticity and authorship is important, and that this is a pressing and growing issue in the era of AI proliferation. We're building a growing team focused on solving critical detection challenges for customers across sectors. The Role We are hiring a Software Engineer to build great product experiences and deliver solutions for our customers. You will be the technical point of contact in customer Slack channels, the owner of a variety of customer reported bugs and feature requests, and build custom integrations and infrastructure for a diverse set of customers. This is an early-career engineering role for someone who is excited to ship code that customers use and make direct impact on a daily basis. You'll develop deep knowledge of our detection models and API, work closely with our engineering teams, and have a clear path towards technical career development. Primary Responsibilities Own bugs and feature requests from intake through completion, working in coordination with the engineering team as required Operate as the primary technical point of contact in customer Slack channels; triage, respond, and escalate as needed Build, scope, and maintain custom integrations, deployments, and infrastructure for customers with non-standard requirements Reproduce customer-reported issues and ship fixes or provide handoffs for the engineering team Support customer onboarding and API integration with samples, technical documentation, and hands-on product debugging and support Track requests and issues, and surface patterns to Product as input for our roadmap Develop and maintain internal playbooks and documentation for customer-specific setups Ideal candidate profile 0–2 years of professional software engineering experience, or a strong internship/project background Proficient in Python; comfortable working with REST APIs, cloud infrastructure, and CI/CD Proficient in frontend development (React, Next.js) Strong written communicator; able to explain technical issues clearly to both engineers and non-technical customers Comfortable with ambiguity and context-switching between customer conversations and code Interest in AI/ML products a plus Compensation $120,000–$150,000 base salary + equity Benefits include Medical/dental/vision 401(k) with 100% employer match on first 4% 20 days of PTO Office lunch

About Pangram Labs Pangram Labs’ mission is to protect authenticity by building the world’s best AI detection systems. We publish research on state-of-the-art AI detection techniques and algorithms, and build products to bring our technology into people's daily lives. We are looking for high agency, mission-driven, and passionate builders to join our team. All roles are in person in Brooklyn, New York. About the Role Pangram Labs is hiring strong Machine Learning Engineers at all levels to join our team. In this role, you will build software to support the machine learning development cycle from data generation, to training models, to deployment and monitoring production machine learning systems in real customer environments. At Pangram, ML engineers are highly involved in the research effort, are involved in publishing research, and regularly contribute ideas and innovations to the team. However, formal research experience is not necessary. This is an in-person role in our office in Downtown Brooklyn, NYC. Responsibilities: Build robust data pipelines that mine the Internet at scale and generate millions of synthetic text examples for training detection models Manage distributed infrastructure for multi-GPU LLM training Profiling and optimizing training and inference code Deploy efficient inference pipelines for serving LLMs at scale Requirements: B.S./M.S. in Computer Science or related areas Strong programming skills in Python and modern ML frameworks Excellent understanding of transformers and LLM fundamentals Comfort working across research and engineering boundaries Nice to have Experience with NVIDIA GPU programming and CUDA Experience with distributed training frameworks, such as DeepSpeed, FSDL, Ray Experience with inference frameworks like vLLM Experience with large-scale data processing (Spark, Beam) and orchestration (Airflow) Experience with MLOps and experiment tracking Experience with DevOps tools Familiarity with cloud-based infrastructure (AWS/GCP) About the Team We are a small, tight-knit team of researchers and engineers who care deeply about our work and each other. We believe that a small group of highly talented, empowered, and efficient people can outperform teams many times their size. Everyone on the team has meaningful ownership over the technical and strategic direction of the company. Pangram is primarily an in-person company. We are high-touch, high-energy, and extremely collaborative by nature and choose to spend time together to do our best thinking and innovation.

About Pangram Labs Pangram Labs’ mission is to protect authenticity by building the world’s best AI detection systems. We publish research on state-of-the-art AI detection techniques and algorithms, and build products to bring our technology into people's daily lives. We are looking for high agency, mission-driven, and passionate builders to join our team. All roles are in person in Brooklyn, New York. About the Role Pangram Labs is hiring AI Research Scientists to join our team. You’ll work directly on our core AI detection model, training deep learning models, running experiments, and contributing innovative ideas to build the most accurate AI detection software in the industry. You will build models that reliably identify AI-generated content and perform research in adjacent areas such as adversarial robustness and interpretability. This is a research role at a startup, which means engineering work is core to the discipline: you'll ship production code, deploy models, build infrastructure, and do real engineering work. Responsibilities: Train large-scale deep learning models to detect AI-generated content Experiment with the creation of synthetic datasets at scale Develop novel and innovative ideas to improve the model’s performance Share your work through technical publications, whitepapers, and blog posts Work with engineering and product teams to translate research into new product features and communicate the results to non-technical audiences Requirements: Ph.D and/or 3-5+ years of experience in AI, Machine Learning, NLP, or related areas First-author publications in major AI venues such as NeurIPS, ICML, ICLR, etc., or significant contributions to AI products in industry Deep understanding of generative models and how they work Experience training neural networks in PyTorch at scale Familiarity with recent technical developments in LLMs Nice to have Experience with synthetic data, adversarial robustness, or interpretability Experience or publications in NLP or computational linguistics Experience with AI infrastructure / distributed systems About the Team We are a small, tight-knit team of researchers and engineers who care deeply about our work and each other. We believe that a small group of highly talented, empowered, and efficient people can outperform teams many times their size. Everyone on the team has meaningful ownership over the technical and strategic direction of the company. Pangram is primarily an in-person company. We are high-touch, high-energy, and extremely collaborative by nature and choose to spend time together to do our best thinking and innovation.

About Pangram Labs Pangram Labs’ mission is to protect authenticity by building the world’s best AI detection systems. We publish research on state-of-the-art AI detection techniques and algorithms, and build products to bring our technology into people's daily lives. We are looking for high agency, mission-driven, and passionate builders to join our team. All roles are in person in Brooklyn, New York. About the Role We are looking for a backend-focused Senior Software Engineer to design, build, and scale the production systems that serve our core technology to a rapidly growing user base. You will own the backend infrastructure that powers Pangram's AI detection platform. This is a senior, high-autonomy role: you'll make architectural decisions, solve hard scaling problems, and ensure our systems are reliable and performant as demand grows. You'll work across our Django backend and AWS infrastructure, collaborating closely with our frontend and machine learning teams. What You'll Do Design and implement scalable backend services and APIs to serve AI detection capabilities at scale Own the reliability, performance, and observability of production systems Architect and maintain data pipelines, caching layers, and service infrastructure on AWS Collaborate with ML engineers to deploy and serve machine learning models in production Identify and resolve bottlenecks across the stack as traffic and complexity increase Establish and improve engineering best practices around testing, deployment, and incident response Requirements 5+ years of professional software engineering experience, with a strong backend focus Proficiency in Python and Django (or comparable Python web frameworks) Deep understanding of backend architecture patterns: RESTful API design, relational databases, message queues, caching strategies, and asynchronous task processing Hands-on experience with AWS services (e.g., EC2, ECS/EKS, RDS, S3, SQS, CloudFront, Lambda) Experience designing systems for high availability, horizontal scalability, and graceful degradation Strong debugging and performance-profiling skills in production environments Strongly Preferred Experience with containerization (Docker) and container orchestration (Kubernetes) Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform, CloudFormation, or similar) Experience with monitoring and observability tooling (e.g., Datadog, Prometheus, Grafana, ELK) Nice to Have Experience deploying and serving deep learning models in production (model serving frameworks, GPU infrastructure, batch vs. real-time inference) Familiarity with React or frontend technologies sufficient to collaborate effectively across the stack