--- title: 'Machine Learning Engineer (Junior) at Pangram Labs' canonical: 'https://feeny.ai/job/machine-learning-engineer-junior-pangram-labs-new-york-xsm8r05r171k' type: 'job' last_seen: '2026-09-06' --- # Machine Learning Engineer (Junior) at Pangram Labs - **Company:** Pangram Labs - **Location:** New York, NY - **Compensation:** $135k–$150k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-17 - **Last confirmed live:** 2026-09-06 - **Apply:** https://jobs.ashbyhq.com/pangramlabs/52d3bc99-944f-4ed7-ae61-8ed5333fff1d ## Job description Pangram Labs is hiring for a strong junior Machine Learning Engineer. 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. or M.S. in Computer Science or related areas - Practical experience with deep learning: internships, undergrad or masters’ level research projects in an academic lab, Kaggle competitions, or interesting side projects - 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 Pangram Labs ## Company Overview - **One-liner**: Pangram Labs builds an AI detection platform that identifies AI-generated content with high accuracy, serving educational institutions and enterprises to maintain content authenticity. - **Entity Type**: Private (Seed Stage) - **Headquarters**: Brooklyn, New York, United States - **Founded**: 2023 - **Founders**: Max Spero (CEO) and Bradley Emi (CTO) ## Core Business - **Primary industry**: AI Detection, Content Authenticity, Cybersecurity - **Target customers**: B2B – universities, schools, publishers, law firms, HR departments, foundations, and enterprise organizations - **Mission or purpose statement**: "To mitigate new issues caused by the proliferation of powerful generative AI models" and "rebuild trust amidst the increase in generative AI content" [pangram.com](https://www.pangram.com/) ## Products & Services - **Pangram AI Detector**: A SaaS platform that detects AI-generated text from all major LLMs (ChatGPT, Claude, Gemini, Llama, DeepSeek, etc.) with 99.98% accuracy and a false positive rate of 1 in 10,000. Supports 20+ languages. - **Plagiarism Checker**: Integrated plagiarism detection in a single tool alongside AI detection. - **AI Segment Analysis**: Highlights sections of text that were AI-generated versus AI-assisted (edited by AI). - **API**: Programmatic access for high-volume enterprise and developer use cases. - **LMS Integrations**: Works with Canvas, Moodle, Google Classroom, Brightspace, and other learning management systems. - **Chrome Extension & Google Docs Integration**: Browser-based detection for web content and documents. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total Funding of $3.95M - **Notable Investors/Partners**: ScOp Venture Capital (lead, Seed round), Haystack (lead, Pre-Seed round) [linkedin.com](https://www.linkedin.com/company/pangramlabs) - **Growth Signals**: - Headcount grew 162.5% year-over-year (from 5 to 14 employees) - Monthly employee growth of 10.5% - Independently verified by researchers at University of Chicago and University of Maryland - Detects outputs from unreleased AI models and humanized/AI-assisted text - Active job postings increased 16.7% quarterly (7 open roles) ## Competitive Advantages - **Proprietary technology**: Uses its own deep learning models trained on diverse datasets, not open-source or commercial LLMs — giving it a unique detection methodology. - **Lowest false positive rate**: 1 in 10,000 (0.01%), independently verified by third-party researchers, significantly outperforming competitors. - **Detects humanized text**: Can identify AI content even after it has been processed by evasion tools. - **Founding team pedigree**: Founders are AI researchers from Tesla Autopilot, Google, Nuro, and Absci, with graduate degrees from Stanford. - **Peer-reviewed research**: Active contributions to the AI detection research community. ## Strategic Focus - **Expand enterprise and education market**: Targeting universities, publishers, law firms, and HR departments. - **Continuous model improvement**: Regularly releasing new detection model versions (e.g., Pangram 3.3.2) to keep pace with evolving LLMs. - **Multilingual capabilities**: Expanding detection to 20+ languages for global adoption. - **Product differentiation**: Moving beyond simple binary detection to nuanced analysis (AI generation vs. AI assistance vs. human writing). ## Why Work Here - **Founding team from top AI labs**: Work alongside former Tesla Autopilot, Google, Nuro, and Absci researchers — a steep learning environment. - **Mission-driven**: Directly tackling one of the most pressing problems of the generative AI era — content authenticity and trust. - **Fast-growing startup**: 162.5% headcount growth in the last year, with 7 active job openings across engineering, ML, research, and operations. - **Research culture**: Active publication and peer-reviewed research; engineers and researchers contribute to the broader AI community. - **Office location**: Based in Brooklyn, New York (likely hybrid/office-first culture given startup stage). - **Open roles include**: Senior Software Engineer (Backend), Machine Learning Engineer, AI Research Scientist, Full-Stack Engineer, and Executive Assistant — indicating a broad, growing team. ## Sources 1. [pangram.com](https://www.pangram.com/) — Official website 2. [pangram.com/about-us](https://www.pangram.com/about-us) — About Us page 3. [linkedin.com/company/pangramlabs](https://www.linkedin.com/company/pangramlabs) — LinkedIn company profile 4. [jobs.ashbyhq.com/pangramlabs](https://jobs.ashbyhq.com/pangramlabs) — Careers page and job listings 5. [pangram.com/pangram-space](https://www.pangram.com/pangram-space) — Product updates and model releases ## Other roles at Pangram Labs - [Brand Designer](https://feeny.ai/job/brand-designer-pangram-labs-new-york-rj5rm8rbc6c5) — New York, NY - [Performance Marketing Lead](https://feeny.ai/job/performance-marketing-lead-pangram-labs-new-york-w0vhsmr3bxpy) — New York, NY - [Account Executive - Enterprise](https://feeny.ai/job/account-executive-enterprise-pangram-labs-new-york-f1rkf1vksgce) — New York, NY - [Account Executive - Education](https://feeny.ai/job/account-executive-education-pangram-labs-new-york-6vmc8ef5xh0d) — New York, NY - [Customer Success Manager](https://feeny.ai/job/customer-success-manager-pangram-labs-new-york-rxj9vtjnjye5) — New York, NY