{"schemaVersion":"jobsearcher.job.v1","id":"17b9191dfdb2e69d4d9fb2c5","url":"https://jobsearcher.com/jobs/17b9191dfdb2e69d4d9fb2c5","canonicalUrl":"https://jobsearcher.com/jobs/17b9191dfdb2e69d4d9fb2c5","title":"Machine Learning Engineer II, Document & Vision Intelligence","description":"Jobs/ Machine Learning Engineer II, Document & Vision IntelligenceHomesvg]:w-3.5 [&>svg]:h-3.5\"> Jobssvg]:w-3.5 [&>svg]:h-3.5\"> Companiessvg]:w-3.5 [&>svg]:h-3.5\"> GEICOsvg]:w-3.5 [&>svg]:h-3.5\"> Machine Learning Engineer II, Document & Vision Intelligence Machine Learning Engineer II, Document & Vision IntelligenceGEICOMachine Learning Engineer II, Document & Vision IntelligenceGEICOLocationBethesda, MD, New York City, NY, Palo Alto, CATypeFull-timePosted9/1/2026Compensation$105,000 - $215,000 per yearUndergraduate with 5+ Years of ExperienceH-1B FY202699.7% approval35 approvals318 LCA2.5% entry-level-61% YoY✓ Established sponsorJob DescriptionAs a Machine Learning Engineer II at GEICO, you will lead the design, development, and deployment of advanced machine learning solutions. You will work within the Documents and Vision Intelligence team, focusing on transforming unstructured information into actionable insights. This role emphasizes building scalable ML systems and collaborating with product and business stakeholders to address high-impact challenges. You will also mentor junior engineers and ensure the robustness and performance of ML solutions in production environments.RequirementsB.S. in computer science, computer engineering, electrical engineering, machine learning, statistics, mathematics, or a related quantitative field; M.S. or equivalent work experience preferred.6+ years of experience applying machine learning techniques such as ensemble learning, deep learning, reinforcement learning, NLP, generative AI, or related approaches.Direct experience designing, building, evaluating, and deploying production-grade ML systems.6+ years of experience with SQL, Spark or equivalent distributed data processing tools, Python, and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.4+ years of experience working with cloud platforms and environments such as AWS, Microsoft Azure, Databricks and/or Snowflake, and Kubernetes.Demonstrated ability to communicate technical tradeoffs clearly and operate effectively in ambiguous problem spaces.ResponsibilitiesDesign and implement machine learning models, services, and components that solve real-world business problems.Write production-grade code for ML models as services and APIs.Collaborate with cross-functional teams to integrate machine learning solutions into production systems.Build and maintain scalable data processing workflows and model deployment infrastructure.Debug and resolve model performance issues and implement continuous improvements.Lead the design and implementation of complex machine learning solutions across various business units.Mentor and guide junior engineers and collaborate closely with machine learning engineers.Own the end-to-end systems for model monitoring, maintenance, and retraining.H-1B filing historyPublic USCIS petition and DOL LCA counts latest USCIS FY2026, LCA FY2026Filing entity: Government Employee Insurance Company GeicoAs of Aug 23, 2026Initial approvals35FY2026Approval rate99.7%FY2026LCA certified318FY2026Entry-level share2.5%FY2026Initial approvals YoY61%TrendLCA certified YoY+3%TrendInitial approvals by fiscal yearFY2025 FY2026 0 25 50 75 100Approval rate by fiscal yearFY2025 FY2026 0% 25% 50% 75% 100%Continuing vs initial approvalsFY2025 FY2026 0 90 180 270 360 Initial ContinuingLCA certified positions by quarter2025-Q2 2025-Q3 2025-Q4 2026-Q2 0 80 160 240 320LCA certified positions by fiscal yearFY2025 FY2026 0 80 160 240 320Based on public USCIS and DOL filings; not a sponsorship guarantee.Is this posting expired or inaccurate?Machine Learning Engineer II, Document & Vision IntelligenceGEICOSomething wrong with this listing?At a glanceBethesda, MD, New York City, NY, Palo Alto, CAFull-time9/1/2026$105,000 - $215,000 per year","company":"H1bconnect","rawCompany":"h1bconnect","city":"Bethesda","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-09-03T09:11:43.581Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"524298","title":"All Other Insurance Related Activities","slug":"all-other-insurance-related-activities"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer II, Document & Vision Intelligence","description":"Jobs/ Machine Learning Engineer II, Document & Vision IntelligenceHomesvg]:w-3.5 [&>svg]:h-3.5\"> Jobssvg]:w-3.5 [&>svg]:h-3.5\"> Companiessvg]:w-3.5 [&>svg]:h-3.5\"> GEICOsvg]:w-3.5 [&>svg]:h-3.5\"> Machine Learning Engineer II, Document & Vision Intelligence Machine Learning Engineer II, Document & Vision IntelligenceGEICOMachine Learning Engineer II, Document & Vision IntelligenceGEICOLocationBethesda, MD, New York City, NY, Palo Alto, CATypeFull-timePosted9/1/2026Compensation$105,000 - $215,000 per yearUndergraduate with 5+ Years of ExperienceH-1B FY202699.7% approval35 approvals318 LCA2.5% entry-level-61% YoY✓ Established sponsorJob DescriptionAs a Machine Learning Engineer II at GEICO, you will lead the design, development, and deployment of advanced machine learning solutions. You will work within the Documents and Vision Intelligence team, focusing on transforming unstructured information into actionable insights. This role emphasizes building scalable ML systems and collaborating with product and business stakeholders to address high-impact challenges. You will also mentor junior engineers and ensure the robustness and performance of ML solutions in production environments.RequirementsB.S. in computer science, computer engineering, electrical engineering, machine learning, statistics, mathematics, or a related quantitative field; M.S. or equivalent work experience preferred.6+ years of experience applying machine learning techniques such as ensemble learning, deep learning, reinforcement learning, NLP, generative AI, or related approaches.Direct experience designing, building, evaluating, and deploying production-grade ML systems.6+ years of experience with SQL, Spark or equivalent distributed data processing tools, Python, and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.4+ years of experience working with cloud platforms and environments such as AWS, Microsoft Azure, Databricks and/or Snowflake, and Kubernetes.Demonstrated ability to communicate technical tradeoffs clearly and operate effectively in ambiguous problem spaces.ResponsibilitiesDesign and implement machine learning models, services, and components that solve real-world business problems.Write production-grade code for ML models as services and APIs.Collaborate with cross-functional teams to integrate machine learning solutions into production systems.Build and maintain scalable data processing workflows and model deployment infrastructure.Debug and resolve model performance issues and implement continuous improvements.Lead the design and implementation of complex machine learning solutions across various business units.Mentor and guide junior engineers and collaborate closely with machine learning engineers.Own the end-to-end systems for model monitoring, maintenance, and retraining.H-1B filing historyPublic USCIS petition and DOL LCA counts latest USCIS FY2026, LCA FY2026Filing entity: Government Employee Insurance Company GeicoAs of Aug 23, 2026Initial approvals35FY2026Approval rate99.7%FY2026LCA certified318FY2026Entry-level share2.5%FY2026Initial approvals YoY61%TrendLCA certified YoY+3%TrendInitial approvals by fiscal yearFY2025 FY2026 0 25 50 75 100Approval rate by fiscal yearFY2025 FY2026 0% 25% 50% 75% 100%Continuing vs initial approvalsFY2025 FY2026 0 90 180 270 360 Initial ContinuingLCA certified positions by quarter2025-Q2 2025-Q3 2025-Q4 2026-Q2 0 80 160 240 320LCA certified positions by fiscal yearFY2025 FY2026 0 80 160 240 320Based on public USCIS and DOL filings; not a sponsorship guarantee.Is this posting expired or inaccurate?Machine Learning Engineer II, Document & Vision IntelligenceGEICOSomething wrong with this listing?At a glanceBethesda, MD, New York City, NY, Palo Alto, CAFull-time9/1/2026$105,000 - $215,000 per year","datePosted":"2026-09-03T09:11:43.581Z","dateModified":"2026-09-03T09:11:43.581Z","hiringOrganization":{"@type":"Organization","name":"H1bconnect","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bethesda","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"17b9191dfdb2e69d4d9fb2c5"},"url":"https://jobsearcher.com/jobs/17b9191dfdb2e69d4d9fb2c5"}}