{"id":"4323594827","title":"Senior Software Engineer, AI Platform and Enablement","posted_at":"2026-04-07T21:55:34.000Z","apply_url":"https://job-boards.greenhouse.io/descript/jobs/7580335003","locations":["San Francisco, CA"],"employment_type":null,"workplace_type":null,"seniority_level":"senior","description_language":"en","source_name":"greenhouse","source_url":"https://boards.greenhouse.io/descript/jobs/7580335003?gh_jid=7580335003","salary":{"min":180000,"max":286000,"currency":"USD","period":"year","display":"$180,000–$286,000"},"job_summary":"Descript is an AI-powered platform that provides intuitive tools for editing audio and video content. This role involves building and maintaining the AI infrastructure and model integrations necessary to support the company's machine learning lifecycle.","job_description":{"responsibilities":["Build, maintain, and standardize third-party model integrations.","Design and maintain AI infrastructure including data pipelines, training developer experience, and evaluation frameworks.","Collaborate with cross-functional teams to ensure AI systems are scalable and efficient.","Optimize and scale models and algorithms for inference.","Deploy, monitor, and manage AI models in production."],"minimum_qualifications":["Experience in deploying and managing AI models in production.","Experience with large volume data pipeline tools like Spark, Flume, or Dask.","Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.","Experience with container technologies like Docker and Kubernetes.","Knowledge of DevOps and MLOps best practices.","Strong problem-solving and communication skills."],"preferred_qualifications":["Experience with generative AI models.","Familiarity with audio and video processing.","Knowledge of Python, C/C++, and CUDA.","Experience profiling GPU performance and distributed training runs.","Experience with machine learning frameworks like PyTorch or TensorFlow."]},"visa_sponsorship":null,"experience_years_min":null,"job_address":null,"job_city":"San Francisco","job_state":null,"job_country":"US","location_lat":37.7777464,"location_lng":-122.42265429999999,"keywords":["distributed training","cross-functional","product managers","machine learning","infrastructure","collaboration","generative AI","qualification","communication","open source","Collaborate","distributed","performance","experiences","fast-moving","engineering","production","algorithms","AI-powered","TensorFlow","Kubernetes","processing","enablement","intuitive","efficient","pipelines","discovery","scalable","security","Platform","Flexible","pipeline","research","PyTorch","design","Growth","deploy","DevOps","Python","Google","teams","Spark","MLOps","audio","video","Azure","data","CUDA","GPU","C++","art","AWS","AI","C+"],"company":{"name":"Descript","logo_url":"https://img.logo.dev/descript.com?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"Descript provides an AI-powered editing platform for video and audio production.","website_url":"https://descript.com","linkedin_url":"https://www.linkedin.com/company/descript","glassdoor_url":null,"x_url":"https://x.com/descript","instagram_url":"https://www.instagram.com/descript_app/","youtube_url":"https://www.youtube.com/c/descript","github_url":"https://github.com/descriptinc","huggingface_url":null,"tiktok_url":null,"crunchbase_url":null,"facebook_url":"https://www.facebook.com/descriptapp","employee_count_range":"51-200","employee_count":null,"founded_year":2017,"headquarters":{"address":"385 Grove St, San Francisco, CA 94102, United States","city":"San Francisco, CA","country":"US","lat":37.7879363,"lng":-122.4075201},"industry":"software","company_type":"startup","total_funding_usd":101000000,"locations":["Canada","New York, NY","San Francisco, CA","US"]}}