{"schemaVersion":"jobsearcher.job.v1","id":"c4cdf27f9baaadabe022f308","url":"https://jobsearcher.com/jobs/c4cdf27f9baaadabe022f308","canonicalUrl":"https://jobsearcher.com/jobs/c4cdf27f9baaadabe022f308","title":"Machine Learning Engineer","description":"Build the infrastructure for safe enterprise AI\n\nJoin a seed-stage team making privacy-preserving AI the default. We help enterprises ship AI when sensitive data is the blocker. Your work turns restricted datasets into synthetic data with provable privacy guarantees that AI, legal, security, and compliance teams all approve.\nWhy Secludy\n\nMake privacy-preserving AI the default\n\nWe are building a proprietary generative engine that creates privacy-protected synthetic data for regulated industries like fintech, healthcare, and life sciences. Small team, high ownership, direct work with the founders.\nMachine Learning Engineer\n\nSF Bay Area, Hybrid\n\nThe opportunity\n\nSecludy is a San Francisco-based, venture-backed startup on a mission to make privacy-preserving AI the industry default and keep individual privacy intact as AI scales. The platform lets organizations use sensitive data through synthetic data generation with provable privacy guarantees.\n\nFintech, healthcare, and life-sciences customers trust Secludy to protect sensitive data and IP while training AI models.\n\nYou will be the first engineering hire at a seed-stage startup solving the data bottleneck for regulated industries. You will build the infrastructure that lets the team iterate much faster and deliver to enterprise customers at a high standard.\n\nWhat you will do\n\nAccelerate the research loop\n\n Partner with the founders to turn mathematical hypotheses into testable code.\n Build reusable modules and keep the codebase simple by questioning every new file and library.\n Push performance through simpler architecture, not patches.\n Investigate failures that span infrastructure and math, like out-of-memory errors, race conditions, loss divergence, and gradient explosion.\n Build the harness that shows exactly how metrics change when the model changes.\n\nProductionize the engine\n\n Orchestrate distributed training and generation across GPU clusters with Kubernetes using minimal, self-healing deployments.\n Own the deployment pipeline.\n Build logging that explains why a generation job failed, not just that it failed.\nWho you are\n You work across infra and modeling. You can debug latency and Docker issues, read loss curves, and diagnose overfitting.\n You take ownership of broken training runs. You profile GPUs, inspect dataloaders, and find the bottleneck fast.\n You stay pragmatic. You write clean abstractions when they pay off and ship a small script when the team needs an answer today.\nRequirements\n 3 to 6 years in ML engineering or applied research.\n Strong PyTorch. You can write a custom training loop from scratch.\n Experience with generative models like diffusion, VAEs, and transformers beyond inference.\n A track record of taking experimental code to production.\n Comfortable with tabular, free-text, or time-series data.\nInterview process\nNo LeetCode\n\n1. Screen\n\n30 minutes\n\nAlign on mission and background.\n\n2. Technical deep dive\n\n60 minutes\n\nML system design, debugging war stories, and generative concepts.\n\n3. Working session\n\n90 minutes\n\nDiagnose and fix a real broken piece of research code in your own environment while we collaborate.\n\n4. Founder chat\n\n30 minutes\n\nFinal vision alignment.\n\nReady to build the infrastructure for safe enterprise AI","company":"Secludy","rawCompany":"secludy","city":"Alameda","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-24T12:10:36.749Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Build the infrastructure for safe enterprise AI\n\nJoin a seed-stage team making privacy-preserving AI the default. We help enterprises ship AI when sensitive data is the blocker. Your work turns restricted datasets into synthetic data with provable privacy guarantees that AI, legal, security, and compliance teams all approve.\nWhy Secludy\n\nMake privacy-preserving AI the default\n\nWe are building a proprietary generative engine that creates privacy-protected synthetic data for regulated industries like fintech, healthcare, and life sciences. Small team, high ownership, direct work with the founders.\nMachine Learning Engineer\n\nSF Bay Area, Hybrid\n\nThe opportunity\n\nSecludy is a San Francisco-based, venture-backed startup on a mission to make privacy-preserving AI the industry default and keep individual privacy intact as AI scales. The platform lets organizations use sensitive data through synthetic data generation with provable privacy guarantees.\n\nFintech, healthcare, and life-sciences customers trust Secludy to protect sensitive data and IP while training AI models.\n\nYou will be the first engineering hire at a seed-stage startup solving the data bottleneck for regulated industries. You will build the infrastructure that lets the team iterate much faster and deliver to enterprise customers at a high standard.\n\nWhat you will do\n\nAccelerate the research loop\n\n Partner with the founders to turn mathematical hypotheses into testable code.\n Build reusable modules and keep the codebase simple by questioning every new file and library.\n Push performance through simpler architecture, not patches.\n Investigate failures that span infrastructure and math, like out-of-memory errors, race conditions, loss divergence, and gradient explosion.\n Build the harness that shows exactly how metrics change when the model changes.\n\nProductionize the engine\n\n Orchestrate distributed training and generation across GPU clusters with Kubernetes using minimal, self-healing deployments.\n Own the deployment pipeline.\n Build logging that explains why a generation job failed, not just that it failed.\nWho you are\n You work across infra and modeling. You can debug latency and Docker issues, read loss curves, and diagnose overfitting.\n You take ownership of broken training runs. You profile GPUs, inspect dataloaders, and find the bottleneck fast.\n You stay pragmatic. You write clean abstractions when they pay off and ship a small script when the team needs an answer today.\nRequirements\n 3 to 6 years in ML engineering or applied research.\n Strong PyTorch. You can write a custom training loop from scratch.\n Experience with generative models like diffusion, VAEs, and transformers beyond inference.\n A track record of taking experimental code to production.\n Comfortable with tabular, free-text, or time-series data.\nInterview process\nNo LeetCode\n\n1. Screen\n\n30 minutes\n\nAlign on mission and background.\n\n2. Technical deep dive\n\n60 minutes\n\nML system design, debugging war stories, and generative concepts.\n\n3. Working session\n\n90 minutes\n\nDiagnose and fix a real broken piece of research code in your own environment while we collaborate.\n\n4. Founder chat\n\n30 minutes\n\nFinal vision alignment.\n\nReady to build the infrastructure for safe enterprise AI","datePosted":"2026-10-24T12:10:36.749Z","dateModified":"2026-10-24T12:10:36.749Z","hiringOrganization":{"@type":"Organization","name":"Secludy","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alameda","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c4cdf27f9baaadabe022f308"},"url":"https://jobsearcher.com/jobs/c4cdf27f9baaadabe022f308"}}