VSP Vision Care

Internship, Agentic – Machine Learning Development

VSP Vision Care

internship

Posted on:

Location Type: Remote

Location: CaliforniaUnited States

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Salary

💰 $26,500 - $32,500 per year

Job Level

About the role

  • Collaborate with AI leaders, data scientists, ML engineers, and product teams to build agentic frameworks
  • Assist in building and refining AI agents using LLMs and multimodal models for tasks such as data exploration, scenario planning, and workflow automation
  • Design prompts and workflows that enable agents to reason, plan, and act autonomously
  • Work with structured and unstructured datasets, metadata and metrics definitions to create a contextual layer that enables agent performance
  • Conduct rigorous testing of agent capabilities, including edge cases and failure modes
  • Maintain detailed records of prompts, responses, agent iterations, and performance metrics
  • Work closely with cross-functional teams to align ML solutions with business goals and deployment requirements
  • Build, train, and evaluate ML models for tasks such as classification, regression, clustering, and anomaly detection
  • Clean, transform, and analyze structured and unstructured datasets to support model training and validation
  • Optimize models for accuracy, efficiency, and scalability using techniques like hyperparameter tuning and cross-validation
  • Maintain clear records of experiments, results, and insights for reproducibility and team knowledge sharing

Requirements

  • Strong programming skills in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost
  • Experience with data analysis tools (e.g., Pandas, NumPy, SQL)
  • Exposure to frameworks like Snowflake Cortex, RAG systems, or agent-based modeling
  • Understanding of reinforcement learning, planning algorithms, or simulation environments (e.g., OpenAI Gym, Unity)
  • Understanding of ML concepts including supervised/unsupervised learning, overfitting, bias-variance tradeoff, and evaluation metrics
  • Eager to learn
  • Inquisitive problem-solver
  • Creative thinker
  • Self-motivated
Benefits
  • Facilities to work remotely, including private or semi-private workspace
  • Access to high-speed internet
  • Technology will be provided
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonscikit-learnTensorFlowPyTorchXGBoostPandasNumPySQLhyperparameter tuningcross-validation
Soft Skills
eager to learninquisitive problem-solvercreative thinkerself-motivated