Junior Ai Machine Learning Python Jobs in New York

Senior Machine Learning Engineer, AI Research

About the Role

GEICO is redefining the insurance landscape throughcutting-edgeArtificial Intelligence, and the AI Research team is driving this transformation. We are developing innovative, centralized, real-time AI solutions to solve complex business challenges and deliver advanced capabilities across claims, customer interactions, and operational efficiency.

As a Senior Machine Learning Engineer, you will play a pivotal role as a technical leader, designing, deploying, and managing production-grade ML systems that directlyimpactcore business functions. This position is ideal for engineers who have experience shipping ML systems and seek greater ownership, technical depth, and significant business influence.

This is a hands-on opportunity for those passionate about scalable architectures, model robustness, and delivering operational excellence in advanced AI systems.

WhatYou'llDo

Own End-to-End Production ML Systems

• Design, implement, and deploy machine learning models and features for diverse AI applications including predictive analytics, automation, and decision support.

• Manage the complete ML lifecycle: data ingestion, feature engineering, training, evaluation, deployment, monitoring, and retraining.

• Continuously advance model performance, reliability, and interpretability in production environments.

Build Scalable AI ML Pipelines

• Develop scalable batch and real-time pipelines to support high-throughput AI workflows and applications.

• OptimizeML serving systems for speed, reliability, and cost-effectiveness.

• Collaborate with platform teams to enhance feature stores, model registries, and deployment infrastructure for AI solutions.

Drive Technical Excellence

• Author high-quality, well-tested, and maintainable code in Python (and/or Java).

• Contribute to shared ML frameworks, tooling, andpromoteengineering best practices across the research team.

• Engage in architecture discussions, design reviews, and technical roadmap development for AI initiatives.

Mentor & Collaborate Across Teams

• Mentor junior engineers (MLE I/II), providing code reviews, guidance, and technical leadership.

• Work closely with data scientists, software engineers, operations, and product teams to integrate ML solutions into real-world applications.

• Translate complex business and technical challenges into actionable ML solutions.

Operate Reliable ML in a Regulated Environment

• Ensure ML systems adhere tohigh standardsfor monitoring, alerting, security, privacy, and compliance.

• Support incident response andmaintainproduction reliability for AI-driven systems.

• Contribute to model governance, explainability, and responsible AI practices.

Minimum Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field (Master'sor PhDa plus).

• 6+ years of experience building and deploying machine learning systems in production environments.

• Strongproficiencyin Python (and/or Java) and production-grade software engineering practices.

• Experience with ML frameworks such asPyTorch, TensorFlow, or scikit-learn.

• Hands-on experience with the full ML lifecycle, including deployment, monitoring, andretraining.

• Hands-on experience building and deploying LLM-based applications, including prompt design, retrieval-augmented generation (RAG), model evaluation, and production integration.

• Familiarity with distributed data systemsand modern ML infrastructure.

Preferred Qualifications

• Domain experience in AI Research, Predictive Modeling, Automation, or Decision Intelligence.

• Experience with fine-tuning, adaptation, evaluation frameworks, and safety/guardrails for large language model (LLM) systems.

• Familiarity with real-time ML serving architectures, feature stores, and low-latency systems.

• Exposure toadvanced modeling techniques, such as deep learning, reinforcement learning, or natural language processing.

• Experience withbig-dataand pipeline technologies (Spark, Snowflake, Airflow, DBT).

• Knowledge of model explainability, fairness, and governance in regulated industries.

Why Join GEICO AI Research?

• Build real-time ML systems that drive business innovation and customer value

• Tackle large-scale decisioning problems where accuracy and reliability are critical

• Collaborate within a strong engineering culture with growth opportunities toward Staff and Senior Staff roles

• Contribute to high-impact initiatives across claims, customer service, and operational AI applications