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Adept

Software Engineer, Full Stack - ML Platform

Adept, San Francisco, California, United States, 94199


Position Summary

Adept is building a new class of multimodal AI models designed specifically for digital agents. ML Platform engages directly with Adept research teams, equipping them with a software toolkit that helps them iterate quickly:Helping researchers collect, understand, and share resultsQuantifying model behavior during training and deploymentOrganizing and distributing models and other research artifactsMoving models through their full development lifecycleSupporting ad-hoc exploration as new research questions emergeWe Value Curious Engineers Who Can Engage With New Problems And Get Things Done At a Startup. Our Team Members Come From a Variety Of Backgrounds. If You Have Some Of These Attributes, You Might Be a Good Fit:5+ years of experience as a software engineerExpertise building scalable web applicationsKnowledge of both frontend and backend developmentExperience building and serving machine learning modelsTrack record at fast-growing companies or startupsDemonstrated end-to-end ownership and self-directionComfort with moving fast and learning by doingExcellent communication and collaboration skills, both verbal and writtenThe pay range for this position in California is $175,000 - $350,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.Our BenefitsMedical, dental, and vision insurance - 100% coveredUnlimited vacation time for exempt employees4 remote weeks per year - work from anywhereCompetitive salary & stock options24 weeks paid parental leaveMonthly wellness stipendDaily meals for those in our comfortable SF officeCommuter benefitsDog friendly officeAdept is an equal opportunity employer. We're excited about candidates who will raise the bar of our team, regardless of specific experiences -- we encourage applicants from a range of backgrounds to apply.

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