{"schemaVersion":"jobsearcher.job.v1","id":"6bfd31a6435431eaaeb92c74","url":"https://jobsearcher.com/jobs/6bfd31a6435431eaaeb92c74","canonicalUrl":"https://jobsearcher.com/jobs/6bfd31a6435431eaaeb92c74","title":"Lead Machine Learning Engineer -- Data Classification & Security","description":"Job DescriptionLead Machine Learning Engineer — Data Classification & SecurityLocation: United States — SF Bay Area preferred\nEngagement: Full-time commitment; initial three-month contract-to-hire\nCompensation: $135,000–$155,000 annualized, based on experience, paid monthly\n\nAbout Symosis Security\nSymosis Security is a Silicon Valley–based cybersecurity consulting firm helping enterprise and public-sector clients strengthen security through AI security, security engineering and automation, advisory, and managed security services. Our senior practitioners work directly with clients to solve complex problems and deliver measurable results.\nWe’re expanding our AI and data security practice and looking for a hands-on technical lead who wants ownership, direct client exposure, and opportunities to help grow the team.\n\nAbout the Role\nYou will lead a small engineering team delivering an enterprise data classification engagement. Working alongside an applied data scientist and ML engineer, you will build and improve classifiers that identify sensitive data, evaluate performance, and deliver reliable engineering outcomes.\nThis is a hands-on technical leadership role with significant coding and implementation responsibility.\n\nWhat You’ll Do\n\n Own the technical approach, implementation decisions, and engineering quality.\n Build, configure, and improve classifiers within an existing enterprise framework.\n Guide ground-truth development, performance evaluation, and error analysis.\n Improve precision and recall through systematic tuning and testing.\n Review code and oversee holdout validation, edge-case testing, and regression testing.\n Work directly with client technical stakeholders to resolve implementation challenges.\n Deliver maintainable code, configurations, technical documentation, and handoff materials.\n Coordinate delivery priorities and mentor the engineering team.\n\nWhat You Bring\n\n 8+ years of relevant software or ML engineering experience, including technical leadership.\n Demonstrated ownership of classification systems from evaluation through deployment.\n Strong Python, SQL, debugging, code review, and automated testing skills.\n Experience with rule-based and/or ML-based classification systems.\n Practical understanding of precision, recall, sampling bias, overfitting, and validation.\n Ability to work within existing enterprise codebases and toolchains.\n Strong client communication and experience leading a small technical team.\n\nPreferred Experience\n\n Sensitive-data discovery, DLP, privacy engineering, security analytics, or content classification.\n Building and operating classification systems at enterprise scale.\n Prior experience at Google, Microsoft, Meta, Amazon, Apple, NVIDIA, Tesla, or a comparable technology organization.\n\nWe prioritize demonstrated technical ownership and delivery over employer names.\n\nCompensation & Employment Structure\nCompensation is $135,000–$155,000 annualized, based on relevant experience and qualifications, paid monthly during the initial three-month contract period. Partial months will be prorated.\nThe initial contract requires a full-time commitment and includes no company-provided employee benefits. Following a review of performance and ongoing business needs, the role may convert to permanent full-time employment with Symosis’s standard employee benefits. Compensation will be reviewed at conversion.\n\nWork must be performed within the United States, with availability for Pacific Time collaboration. SF Bay Area candidates are preferred; remote arrangements are subject to client approval.\n\nHow to Apply\nApply through LinkedIn and email your resume to jobs@symosis.com with the subject Lead ML Engineer — [Your Name].\nPlease include:\n\n Location: City/state and availability to collaborate during Pacific Time business hours.\n Start date: Earliest available start date and any notice period.\n Compensation: Confirmation that the posted compensation range and initial three-month contract-to-hire arrangement work for you.\n Relevant experience: A brief example of a classification system you personally built or improved, including your role, approach, and measurable results. Please do not share confidential client information.","company":"Symosis Security","rawCompany":"symosis security","city":"United","state":"WV","isRemote":false,"isActive":false,"createdAt":"2026-11-05T02:05:29.986Z","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":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Machine Learning Engineer -- Data Classification & Security","description":"Job DescriptionLead Machine Learning Engineer — Data Classification & SecurityLocation: United States — SF Bay Area preferred\nEngagement: Full-time commitment; initial three-month contract-to-hire\nCompensation: $135,000–$155,000 annualized, based on experience, paid monthly\n\nAbout Symosis Security\nSymosis Security is a Silicon Valley–based cybersecurity consulting firm helping enterprise and public-sector clients strengthen security through AI security, security engineering and automation, advisory, and managed security services. Our senior practitioners work directly with clients to solve complex problems and deliver measurable results.\nWe’re expanding our AI and data security practice and looking for a hands-on technical lead who wants ownership, direct client exposure, and opportunities to help grow the team.\n\nAbout the Role\nYou will lead a small engineering team delivering an enterprise data classification engagement. Working alongside an applied data scientist and ML engineer, you will build and improve classifiers that identify sensitive data, evaluate performance, and deliver reliable engineering outcomes.\nThis is a hands-on technical leadership role with significant coding and implementation responsibility.\n\nWhat You’ll Do\n\n Own the technical approach, implementation decisions, and engineering quality.\n Build, configure, and improve classifiers within an existing enterprise framework.\n Guide ground-truth development, performance evaluation, and error analysis.\n Improve precision and recall through systematic tuning and testing.\n Review code and oversee holdout validation, edge-case testing, and regression testing.\n Work directly with client technical stakeholders to resolve implementation challenges.\n Deliver maintainable code, configurations, technical documentation, and handoff materials.\n Coordinate delivery priorities and mentor the engineering team.\n\nWhat You Bring\n\n 8+ years of relevant software or ML engineering experience, including technical leadership.\n Demonstrated ownership of classification systems from evaluation through deployment.\n Strong Python, SQL, debugging, code review, and automated testing skills.\n Experience with rule-based and/or ML-based classification systems.\n Practical understanding of precision, recall, sampling bias, overfitting, and validation.\n Ability to work within existing enterprise codebases and toolchains.\n Strong client communication and experience leading a small technical team.\n\nPreferred Experience\n\n Sensitive-data discovery, DLP, privacy engineering, security analytics, or content classification.\n Building and operating classification systems at enterprise scale.\n Prior experience at Google, Microsoft, Meta, Amazon, Apple, NVIDIA, Tesla, or a comparable technology organization.\n\nWe prioritize demonstrated technical ownership and delivery over employer names.\n\nCompensation & Employment Structure\nCompensation is $135,000–$155,000 annualized, based on relevant experience and qualifications, paid monthly during the initial three-month contract period. Partial months will be prorated.\nThe initial contract requires a full-time commitment and includes no company-provided employee benefits. Following a review of performance and ongoing business needs, the role may convert to permanent full-time employment with Symosis’s standard employee benefits. Compensation will be reviewed at conversion.\n\nWork must be performed within the United States, with availability for Pacific Time collaboration. SF Bay Area candidates are preferred; remote arrangements are subject to client approval.\n\nHow to Apply\nApply through LinkedIn and email your resume to jobs@symosis.com with the subject Lead ML Engineer — [Your Name].\nPlease include:\n\n Location: City/state and availability to collaborate during Pacific Time business hours.\n Start date: Earliest available start date and any notice period.\n Compensation: Confirmation that the posted compensation range and initial three-month contract-to-hire arrangement work for you.\n Relevant experience: A brief example of a classification system you personally built or improved, including your role, approach, and measurable results. Please do not share confidential client information.","datePosted":"2026-11-05T02:05:29.986Z","dateModified":"2026-11-05T02:05:29.986Z","hiringOrganization":{"@type":"Organization","name":"Symosis Security","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United","addressRegion":"WV","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6bfd31a6435431eaaeb92c74"},"url":"https://jobsearcher.com/jobs/6bfd31a6435431eaaeb92c74"}}