{"schemaVersion":"jobsearcher.job.v1","id":"60bcb988c49ef4ce6b1165c3","url":"https://jobsearcher.com/jobs/60bcb988c49ef4ce6b1165c3","canonicalUrl":"https://jobsearcher.com/jobs/60bcb988c49ef4ce6b1165c3","title":"Machine Learning Engineer","description":"Machine Learning Engineer - WittyByte AI Coach Platform (www.wittybyte.ai)\nAbout WittyByte\nWittyByte is the AI-powered career coach specifically designed for Machine Learning and AI Engineers targeting MAANGO companies (Meta, Amazon, Apple, Netflix, Google, OpenAI). Our platform (www.wittybyte.ai) leverages cutting-edge AI agents to provide personalized interview preparation, skill assessment, and career guidance to help engineers land their dream jobs at top tech companies.\nWe're on a mission to democratize access to elite tech careers by making world-class interview prep and career coaching available to everyone.\nThe Role\nWe're seeking a passionate Machine Learning Engineer to join our team and build the AI systems that power our coaching platform. You'll be developing intelligent agents that can conduct mock interviews, provide personalized feedback, analyze coding performance, and create adaptive learning paths for our users.\nThis is a unique opportunity to build AI that directly impacts people's careers and helps them achieve their professional dreams at the world's most prestigious tech companies.\nKey ResponsibilitiesAI Agent Development\nBuild conversational AI agents for technical interview simulation (coding, system design, ML theory)\nDevelop NLP models for resume optimization and job description matching\nCreate personalized recommendation engines for skill development and learning paths\nImplement AI-powered feedback systems for coding challenges and interview performance\nInterview Intelligence Platform\nDesign ML models to analyze interview performance and identify improvement areas\nBuild real-time coding assessment tools with intelligent hints and guidance\nCreate adaptive question generation systems based on user skill level and target companies\nDevelop sentiment analysis and communication coaching features\nData Science & Analytics\nAnalyze user learning patterns and success metrics to improve platform effectiveness\nBuild predictive models for job placement success and salary negotiations\nCreate dashboards and insights for users to track their interview readiness\nImplement A/B testing frameworks for coaching strategy optimization\nPlatform Infrastructure\nScale ML inference systems to handle real-time interview simulations\nBuild robust data pipelines for processing interview data and user interactions\nImplement model versioning and continuous deployment for AI coaching models\nOptimize system performance for low-latency conversational AI experiences\nResearch & Innovation\nStay current with MAANGO interview trends and technical requirements\nExperiment with latest AI technologies (LLMs, multimodal AI, reinforcement learning)\nCollaborate with career coaches to translate human expertise into AI systems\nContribute to technical content and thought leadership in AI career coaching\nRequired QualificationsTechnical Skills\n3+ years of ML engineering experience with production AI systems\nStrong expertise in NLP, conversational AI, and LLM fine-tuning\nPython mastery with deep learning frameworks (PyTorch, TensorFlow, Transformers)\nCloud platform experience (AWS/GCP) with ML services and deployment\nReal-time systems experience for low-latency AI applications\nAPI development skills for integrating AI models with web platforms\nDomain Knowledge\nDeep understanding of technical interview processes at top tech companies\nExperience with coding interview platforms and assessment tools\nKnowledge of computer science fundamentals (algorithms, system design, ML theory)\nFamiliarity with career coaching or educational technology domains\nUnderstanding of personalized learning and adaptive assessment systems\nAI/ML Expertise\nExperience with large language models and prompt engineering\nKnowledge of recommendation systems and personalization algorithms\nFamiliarity with reinforcement learning for adaptive learning systems\nUnderstanding of multimodal AI (text, code, speech) for comprehensive coaching\nExperience with model evaluation and human feedback integration\nPreferred Qualifications\nPersonal experience interviewing at MAANGO companies (successful or not!)\nPrevious work in EdTech, career services, or interview preparation platforms\nOpen-source contributions to AI/ML tools or educational platforms\nTeaching or mentoring experience in technical subjects\nStartup experience in high-growth environments\nPublications or research in AI for education or human-computer interaction\nWhat We OfferMission-Driven Impact\nDirectly help thousands of engineers achieve their career dreams\nBuild AI that makes elite tech careers more accessible and equitable\nWork on problems that combine cutting-edge AI with real human impact\nCompensation & Growth\nCompetitive salary with significant equity in a fast-growing startup\nPerformance bonuses based on user success metrics and platform growth\n$6,000 annual learning budget for courses, conferences, and certifications\nCareer advancement opportunities as we scale\nTechnical Excellence\nWork with state-of-the-art AI technologies and research\nAccess to premium tools, datasets, and computing resources\nCollaboration with AI researchers and career coaching experts\nFreedom to experiment and innovate with bleeding-edge technologies\nJob Types: Full-time, Part-time\nPay: $153,426.00 - $367,319.00 per year\nWork Location: Remote","company":"Wittybyte","rawCompany":"wittybyte","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-09T13:58:43.166Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Machine Learning Engineer - WittyByte AI Coach Platform (www.wittybyte.ai)\nAbout WittyByte\nWittyByte is the AI-powered career coach specifically designed for Machine Learning and AI Engineers targeting MAANGO companies (Meta, Amazon, Apple, Netflix, Google, OpenAI). Our platform (www.wittybyte.ai) leverages cutting-edge AI agents to provide personalized interview preparation, skill assessment, and career guidance to help engineers land their dream jobs at top tech companies.\nWe're on a mission to democratize access to elite tech careers by making world-class interview prep and career coaching available to everyone.\nThe Role\nWe're seeking a passionate Machine Learning Engineer to join our team and build the AI systems that power our coaching platform. You'll be developing intelligent agents that can conduct mock interviews, provide personalized feedback, analyze coding performance, and create adaptive learning paths for our users.\nThis is a unique opportunity to build AI that directly impacts people's careers and helps them achieve their professional dreams at the world's most prestigious tech companies.\nKey ResponsibilitiesAI Agent Development\nBuild conversational AI agents for technical interview simulation (coding, system design, ML theory)\nDevelop NLP models for resume optimization and job description matching\nCreate personalized recommendation engines for skill development and learning paths\nImplement AI-powered feedback systems for coding challenges and interview performance\nInterview Intelligence Platform\nDesign ML models to analyze interview performance and identify improvement areas\nBuild real-time coding assessment tools with intelligent hints and guidance\nCreate adaptive question generation systems based on user skill level and target companies\nDevelop sentiment analysis and communication coaching features\nData Science & Analytics\nAnalyze user learning patterns and success metrics to improve platform effectiveness\nBuild predictive models for job placement success and salary negotiations\nCreate dashboards and insights for users to track their interview readiness\nImplement A/B testing frameworks for coaching strategy optimization\nPlatform Infrastructure\nScale ML inference systems to handle real-time interview simulations\nBuild robust data pipelines for processing interview data and user interactions\nImplement model versioning and continuous deployment for AI coaching models\nOptimize system performance for low-latency conversational AI experiences\nResearch & Innovation\nStay current with MAANGO interview trends and technical requirements\nExperiment with latest AI technologies (LLMs, multimodal AI, reinforcement learning)\nCollaborate with career coaches to translate human expertise into AI systems\nContribute to technical content and thought leadership in AI career coaching\nRequired QualificationsTechnical Skills\n3+ years of ML engineering experience with production AI systems\nStrong expertise in NLP, conversational AI, and LLM fine-tuning\nPython mastery with deep learning frameworks (PyTorch, TensorFlow, Transformers)\nCloud platform experience (AWS/GCP) with ML services and deployment\nReal-time systems experience for low-latency AI applications\nAPI development skills for integrating AI models with web platforms\nDomain Knowledge\nDeep understanding of technical interview processes at top tech companies\nExperience with coding interview platforms and assessment tools\nKnowledge of computer science fundamentals (algorithms, system design, ML theory)\nFamiliarity with career coaching or educational technology domains\nUnderstanding of personalized learning and adaptive assessment systems\nAI/ML Expertise\nExperience with large language models and prompt engineering\nKnowledge of recommendation systems and personalization algorithms\nFamiliarity with reinforcement learning for adaptive learning systems\nUnderstanding of multimodal AI (text, code, speech) for comprehensive coaching\nExperience with model evaluation and human feedback integration\nPreferred Qualifications\nPersonal experience interviewing at MAANGO companies (successful or not!)\nPrevious work in EdTech, career services, or interview preparation platforms\nOpen-source contributions to AI/ML tools or educational platforms\nTeaching or mentoring experience in technical subjects\nStartup experience in high-growth environments\nPublications or research in AI for education or human-computer interaction\nWhat We OfferMission-Driven Impact\nDirectly help thousands of engineers achieve their career dreams\nBuild AI that makes elite tech careers more accessible and equitable\nWork on problems that combine cutting-edge AI with real human impact\nCompensation & Growth\nCompetitive salary with significant equity in a fast-growing startup\nPerformance bonuses based on user success metrics and platform growth\n$6,000 annual learning budget for courses, conferences, and certifications\nCareer advancement opportunities as we scale\nTechnical Excellence\nWork with state-of-the-art AI technologies and research\nAccess to premium tools, datasets, and computing resources\nCollaboration with AI researchers and career coaching experts\nFreedom to experiment and innovate with bleeding-edge technologies\nJob Types: Full-time, Part-time\nPay: $153,426.00 - $367,319.00 per year\nWork Location: Remote","datePosted":"2026-08-09T13:58:43.166Z","dateModified":"2026-08-09T13:58:43.166Z","hiringOrganization":{"@type":"Organization","name":"Wittybyte","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"60bcb988c49ef4ce6b1165c3"},"url":"https://jobsearcher.com/jobs/60bcb988c49ef4ce6b1165c3"}}