Analyst, Algorithm Research & Development

Develop deep learning models for: Defect classification Pattern recognition Image segmentation Object detection Feature extraction

Defect classification

Pattern recognition

Image segmentation

Object detection

Feature extraction

Build and optimize models using: PyTorch TensorFlow ONNX

PyTorch

TensorFlow

ONNX

Work with image-processing pipelines and semiconductor inspection datasets.

Design and implement production-quality software in: C++ Python

C++

Python

Convert business and system requirements into scalable AI solutions.

Develop reusable software libraries, APIs, and services.

Participate in code reviews and software design reviews.

Optimize performance, scalability, and reliability of AI services.

Work closely with: Software Engineers Algorithm Engineers Product Managers Applications Teams

Software Engineers

Algorithm Engineers

Product Managers

Applications Teams

Contribute to solution design discussions.

Participate in feasibility studies and technical investigations.

Support deployment, validation, and customer adoption activities.

Bachelor's, Master's, or PhD in: Computer Science Artificial Intelligence Machine Learning Statistics Mathematics Computer Engineering Related discipline

Computer Science

Artificial Intelligence

Machine Learning

Statistics

Mathematics

Computer Engineering

Related discipline

Typically:

BS + 5 years experience

OR MS + 3 years experience

OR PhD with relevant experience

Consistent with the experience expectations for the P3 AI Engineering level.

Strong proficiency in:

Modern C++ (C++14/17/20)

Experience with:

Data structures

Algorithms

Object-oriented design

Multithreaded programming

Experience developing and deploying:

Random Forests

XGBoost

Gradient Boosting

Isolation Forest

Clustering Algorithms

Predictive Models

Hands-on experience with:

Deep Neural Networks

CNNs

Transformers

Vision Models

Strong understanding of:

Probability & Statistics

Experimental Design

Statistical Inference

Feature Engineering

Data Validation

Model Evaluation

Exposure to one or more:

LangGraph

LangChain

AutoGen

CrewAI

Semantic Kernel

OpenAI Agents SDK

MCP (Model Context Protocol)

Skills include:

Tool Calling

Workflow Orchestration

RAG Systems

Knowledge Retrieval

AI Automation

Within this role, you will:

Independently deliver AI and machine-learning features.

Design and deploy production-ready statistical and deep learning models.

Build agentic AI capabilities that improve engineering productivity.

Contribute to image-processing and advanced analytics solutions.

Influence architecture and technical design decisions.

Mentor junior engineers and contribute to engineering best practices.