{"schemaVersion":"jobsearcher.job.v1","id":"97a5699635d6f6ca19749fa3","url":"https://jobsearcher.com/jobs/97a5699635d6f6ca19749fa3","canonicalUrl":"https://jobsearcher.com/jobs/97a5699635d6f6ca19749fa3","title":"Machine Learning Engineer","description":"Overview\nIn this role you will design, build, and maintain backend services that power ML-driven features at Good Inside. You will integrate ML models and third-party APIs, build data pipelines for model serving and real-time personalization, and ensure scalable, reliable backend systems. You’ll work closely with product, design, mobile, and data teams to translate ML capabilities into user-facing features, contributing to a high-growth platform that helps families. This hybrid role combines strong engineering with practical ML know-how to deliver impactful, personalized experiences.\n\nCompensation / BenefitsCompetitive CompensationCompany EquityComprehensive benefits package401k + Company matchTime off to rechargeHybrid work environment\nResponsibilitiesDesign, build, and maintain backend services and APIs powering ML-driven featuresIntegrate ML models and third-party ML APIs into production systemsBuild data pipelines and infrastructure for model serving, feature storage, and real-time personalizationCollaborate with product, mobile, and design teams to translate ML capabilities into user-facing featuresOwn reliability, performance, and scalability of ML-adjacent backend systemsDevelop clean, maintainable, and well-documented code aligned with project scopeDocument architectural decisions and handoff materials upon project completionContribute to feature scoping and sequencing to ensure timely delivery of projects\nKey requirements5+ years of professional software engineering with backend focusExperience shipping ML-powered features in productionWorking knowledge of ML concepts (embeddings, classification, recommender systems, LLMs)Hands-on experience integrating ML APIs and services (OpenAI, Anthropic, ElevenLabs, HuggingFace, AWS SageMaker)Proficiency in Python and/or another backend language (Go, Java, TypeScript/Node)Experience with cloud infrastructure (AWS, GCP, or Azure) and containerized deploymentsFamiliarity with data stores and pipelines for ML (vector databases, feature stores, streaming systems)Excellent interpersonal, verbal, and written communication; strong collaborationSelf-starter with analytical and problem-solving skillsAbility to stay organized in a fast-paced environmentinterpersonal communicationcross-functional collaborationproblem-solvingML concepts (embeddings, classification, recommender systems, LLMs)ML APIs and services (OpenAI, Anthropic, ElevenLabs, HuggingFace, AWS SageMaker)Python or another backend language (Go, Java, TypeScript/Node)","company":"Good Inside","rawCompany":"good inside","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-09-15T05:03:13.392Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Overview\nIn this role you will design, build, and maintain backend services that power ML-driven features at Good Inside. You will integrate ML models and third-party APIs, build data pipelines for model serving and real-time personalization, and ensure scalable, reliable backend systems. You’ll work closely with product, design, mobile, and data teams to translate ML capabilities into user-facing features, contributing to a high-growth platform that helps families. This hybrid role combines strong engineering with practical ML know-how to deliver impactful, personalized experiences.\n\nCompensation / BenefitsCompetitive CompensationCompany EquityComprehensive benefits package401k + Company matchTime off to rechargeHybrid work environment\nResponsibilitiesDesign, build, and maintain backend services and APIs powering ML-driven featuresIntegrate ML models and third-party ML APIs into production systemsBuild data pipelines and infrastructure for model serving, feature storage, and real-time personalizationCollaborate with product, mobile, and design teams to translate ML capabilities into user-facing featuresOwn reliability, performance, and scalability of ML-adjacent backend systemsDevelop clean, maintainable, and well-documented code aligned with project scopeDocument architectural decisions and handoff materials upon project completionContribute to feature scoping and sequencing to ensure timely delivery of projects\nKey requirements5+ years of professional software engineering with backend focusExperience shipping ML-powered features in productionWorking knowledge of ML concepts (embeddings, classification, recommender systems, LLMs)Hands-on experience integrating ML APIs and services (OpenAI, Anthropic, ElevenLabs, HuggingFace, AWS SageMaker)Proficiency in Python and/or another backend language (Go, Java, TypeScript/Node)Experience with cloud infrastructure (AWS, GCP, or Azure) and containerized deploymentsFamiliarity with data stores and pipelines for ML (vector databases, feature stores, streaming systems)Excellent interpersonal, verbal, and written communication; strong collaborationSelf-starter with analytical and problem-solving skillsAbility to stay organized in a fast-paced environmentinterpersonal communicationcross-functional collaborationproblem-solvingML concepts (embeddings, classification, recommender systems, LLMs)ML APIs and services (OpenAI, Anthropic, ElevenLabs, HuggingFace, AWS SageMaker)Python or another backend language (Go, Java, TypeScript/Node)","datePosted":"2026-09-15T05:03:13.392Z","dateModified":"2026-09-15T05:03:13.392Z","hiringOrganization":{"@type":"Organization","name":"Good Inside","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"97a5699635d6f6ca19749fa3"},"url":"https://jobsearcher.com/jobs/97a5699635d6f6ca19749fa3"}}