H
Machine Learning Engineer II, Document & Vision Intelligence
Visa Sponsorship
AI Summary
Lead the design, development, and deployment of advanced machine learning solutions within the Documents and Vision Intelligence team. Focus on transforming unstructured information into actionable insights and building scalable ML systems. Requires 6+ years of experience in ML techniques, production-grade ML systems, and cloud platforms.
Key Highlights
Lead ML solution design and deployment for Document & Vision Intelligence.
Transform unstructured information into actionable insights.
Build scalable ML systems and mentor junior engineers.
Key Responsibilities
Design 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.
Technical Skills Required
Benefits & Perks
$105,000 - $215,000 per year
Nice to Have
M.S. or equivalent work experience preferred.
Experience with ensemble learning, deep learning, reinforcement learning, NLP, generative AI.
Experience with Spark or equivalent distributed data processing tools.
Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Experience working with cloud platforms and environments such as AWS, Microsoft Azure, Databricks and/or Snowflake, and Kubernetes.
Job Description
Jobs/ Machine Learning Engineer II, Document & Vision Intelligence
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- Machine Learning Engineer II, Document & Vision Intelligence
GEICO
Machine Learning Engineer II, Document & Vision Intelligence
GEICO
Location
Bethesda, MD, New York City, NY, Palo Alto, CA
Type
Full-time
Posted
9/1/2026
Compensation
$105,000 - $215,000 per year
Undergraduate with 5+ Years of Experience
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✓ Established sponsor
Job Description
As 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.
Requirements
- B.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.
- Design 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.
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Public USCIS petition and DOL LCA counts
- latest USCIS FY2026, LCA FY2026
As of Aug 23, 2026
Initial approvals
35
FY2026
Approval rate
99.7%
FY2026
LCA certified
318
FY2026
Entry-level share
2.5%
FY2026
Initial approvals YoY
- 61%
Interested in opportunities specifically in United State? Discover our dedicated Visa Sponsorship Jobs in United State page featuring roles from top employers in this location.
+3%
Trend
Initial approvals by fiscal year
FY2025 FY2026 0 25 50 75 100
Approval rate by fiscal year
FY2025 FY2026 0% 25% 50% 75% 100%
Continuing vs initial approvals
FY2025 FY2026 0 90 180 270 360
- Initial
- Continuing
2025-Q2 2025-Q3 2025-Q4 2026-Q2 0 80 160 240 320
LCA certified positions by fiscal year
FY2025 FY2026 0 80 160 240 320
Based on public USCIS and DOL filings; not a sponsorship guarantee.
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Machine Learning Engineer II, Document & Vision Intelligence
GEICO
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At a glance
Bethesda, MD, New York City, NY, Palo Alto, CA
Full-time
9/1/2026
$105,000 - $215,000 per year
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