Software Engineer III - Visual AI Technology

Workman Labs; Boston, Northern (MA, KY); Hybrid; USD 160,000 - 176,000; Full time

Job summary

Wayfair is seeking a Software Engineer III for its Visual AI Technology team in a hybrid Boston environment. You will own backend services, ML infrastructure, and React tooling layered over scalable microservices.

Responsibilities include autonomous problem solving, designing resilient systems, and deploying containerized apps with Docker and Kubernetes, while collaborating with PM, XD, and Analytics to tie work to measurable impact.

Qualifications

• Machine learning fundamentals with PyTorch, TensorFlow, or Scikit-learn.
• Strong Python with FastAPI or Flask.
• REST and GraphQL APIs with OAuth, API keys, JWT.
• Unit and integration testing, CI/CD tooling, production monitoring.
• Data preprocessing on structured and unstructured data.
• React, interactive UI work, frontend state management.
• Experience fine-tuning and serving large models.

Responsibilities

• Own technical decisions across multiple codebase components.
• Work autonomously on scoped but undefined problems inside existing systems.
• Spot code and design patterns and push improvements across components.
• Design scalable, resilient microservices exposing external APIs and internal models.
• Deploy containerized applications with Docker and Kubernetes.
• Collaborate with PM, XD, and Analytics on shared work.
• Use AI-powered developer tools in daily workflows.

Skills

ML fundamentals

Python

REST/GraphQL

Unit testing/CI/CD

Data preprocessing

React/UI

Model serving/finetuning

GPU/ML tooling

Tools

Docker

Kubernetes

Terraform

Helm

ArgoCD

MLflow

Weights & Biases

FastAPI/Flask

Job description

Software Engineer III - Visual AI Technology

Wayfair's Visual AI Technology team builds the generative AI workflows and automated content pipelines behind the product imagery shoppers see. The engineer owns backend services, ML infrastructure, and the React tools that sit on top of them.

$159,500 – $176,000 / yr

Location

Hybrid

Seniority

—

Compared with 41 other Engineering roles: Common across similar roles Unique to this role

What you'll do

Responsibilities

• Own technical decisions across multiple codebase components managed by atomic teams
• Work autonomously on scoped but undefined problems inside existing systems
• Spot code and design patterns and push improvements across components
• Design scalable, resilient microservices exposing external APIs and internal models
• Deploy containerized applications with Docker and Kubernetes Unique
• Partner with PM, XD, and Analytics on shared work Unique
• Use AI-powered developer tools such as Cursor, Copilot, and Google AI Suite day to day
• Tie the team's work to measurable business impact Unique

What you'll need

Experience

• Machine learning fundamentals with hands-on PyTorch, TensorFlow, or Scikit-learn Unique
• Experience fine-tuning and serving large models, and consuming ML service APIs
• Strong Python; FastAPI or Flask preferred Unique
• Cloud experience (GCP, AWS, or Azure) with compute-intensive workloads
• REST and GraphQL APIs with OAuth, API keys, and JWT auth Unique
• Unit and integration testing, CI/CD tooling, and production monitoring Unique
• Data preprocessing across structured and unstructured data Unique
• React, interactive UI work, and frontend state management Unique
• Nice to have: model optimization and quantization Unique
• Nice to have: MLflow or Weights & Biases for model lifecycle management
• Nice to have: Terraform, Helm, ArgoCD Unique
• Nice to have: GPU workloads and Kubernetes scheduling Unique
• Nice to have: 3D content pipelines from visualization, games, or VFX