{"id":679421,"url":"https://alion.io/job/pangram-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":47153,"name":"Pangram","domain":"pangram.com","url":"https://alion.io/company/pangram","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"CUDA","optional":true},{"name":"DeepSpeed","optional":true},{"name":"GCP","optional":true},{"name":"Ray","optional":true},{"name":"Spark","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-09-10T21:28:03Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-31T22:50:00Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"About Pangram Labs\nPangram 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.\nWe are looking for high agency, mission-driven, and passionate builders to join our team. All roles are in person in Brooklyn, New York.\nAbout the Role\nPangram 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.\nAt 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.\nThis is an in-person role in our office in Downtown Brooklyn, NYC.\nResponsibilities:\nBuild robust data pipelines that mine the Internet at scale and generate millions of synthetic text examples for training detection models\n\nManage distributed infrastructure for multi-GPU LLM training\n\nProfiling and optimizing training and inference code\n\nDeploy efficient inference pipelines for serving LLMs at scale\n\nRequirements:\nB.S./M.S. in Computer Science or related areas\n\nStrong programming skills in Python and modern ML frameworks\n\nExcellent understanding of transformers and LLM fundamentals\n\nComfort working across research and engineering boundaries\n\nNice to have\nExperience with NVIDIA GPU programming and CUDA\n\nExperience with distributed training frameworks, such as DeepSpeed, FSDL, Ray\n\nExperience with inference frameworks like vLLM\n\nExperience with large-scale data processing (Spark, Beam) and orchestration (Airflow)\n\nExperience with MLOps and experiment tracking\n\nExperience with DevOps tools\n\nFamiliarity with cloud-based infrastructure (AWS/GCP)\n\nAbout the Team\nWe 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.\nPangram is primarily an in-person company. 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