Jobs · Engineering · Massachusetts

Software Engineer III - Visual AI Technology

Wayfair · Boston, MA · 3 wk ago
EngineeringFull-time

About the role

Candidates for this position can be based in Boston, Massachusetts. This is primarily a hybrid role that requires 3 times a week in office, in addition to scheduled team collaboration required at the Wayfair Office in Boston, Massachusetts, up to 4 times per year. The required team core hours are 9am-5pm EST.

Responsibilities

  • System Ownership: Be responsible for making technical decisions related to multiple components of an existing code base / system that is managed by your team / atomic teams.
  • Autonomous Execution: While you will be assigned work by your Team Lead (EM/L4+ ICs), you will also make autonomous decisions about prioritizing your work.
  • Ambiguous Problem Solving: Solve problems that arise within the components of an existing code base / system managed by your atomic team. You will tackle problems that are more ambiguous because they are scoped (but not defined) for you.
  • Pattern Recognition & Improvement: Identify code or design patterns across an existing codebase / system. Ensure the outcome of your work improves multiple components of the codebase / system.
  • Cross-Functional Collaboration: Interface with members of adjacent atomic teams within the same pod (eg: PM, XD, Analytics) to align on deliverables.
  • Drive Measurable Impact: Have a measurable business impact downstream on team members and the codebase within your atomic team, and upstream within your pod.
  • Build & Deploy: Design scalable and resilient microservices that interface with external APIs and internal models, containerizing applications using Docker and managing services in Kubernetes (pods, services, ConfigMaps, secrets).
  • Actively utilize AI-powered developer tools (e.g., Cursor, Co-Pilot, Google AI Suite) to enhance coding productivity and efficiency.

Requirements

  • A solid understanding of Machine Learning fundamentals (e.g., supervised vs. unsupervised learning, model evaluation metrics) and experience with common ML libraries/frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Familiarity with fine-tuning or serving large models (e.g., LLMs, diffusion models) and experience working with APIs for ML services (e.g., OpenAI, RunwayML, HuggingFace, Fal.ai).
  • Strong Python skills (experience with FastAPI or Flask is a bonus) and a solid understanding of cloud platforms (GCP/AWS/Azure) for compute-heavy workloads.
  • Comfort consuming and exposing REST and/or GraphQL APIs, along with experience using authentication methods (OAuth, API keys, JWT).
  • Familiarity with writing unit and integration tests, CI/CD tools (e.g., Buildkite, GitHub Actions, Jenkins), and monitoring production systems (observability: logs, metrics, tracing).
  • An understanding of data preprocessing pipelines for ML input/output, and experience working with both structured and unstructured data (images, text, video).
  • Proficiency with React, building interactive UIs, and frontend state management (e.g., Redux, Zustand).

Qualifications

  • Nice to Have: Experience with model optimization or quantization for deployment.
  • Understanding of model lifecycle management (MLflow, Weights & Biases).
  • Some DevOps experience (Terraform, Helm, ArgoCD).
  • Experience with GPU-enabled workloads and scheduling in Kubernetes.
  • Previous experience in a 3D content pipeline (e.g., architectural visualization, games, VFX workflows).
  • Experience building interactive UIs using React and modern frontend practices for ML-powered tools, integrating securely with backend APIs and authentication layers.

Benefits

We offer a comprehensive benefits package including:

  • Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
  • Life Insurance
  • DIsability Protection (Short Term & Long Term DIsability)
  • Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
  • Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
  • Caregiver Services
  • Tuition Reimbursement
  • Financial Health Education (Knowledge of Financial Education - KOFE)
  • Tax Advantaged Accounts
  • Family Planning Support
  • Parental Leave
  • Global Surrogacy & Adoption Policy
  • Professional Development & Recognition: Rewards & Recognition Global Employee Anniversary Awards
  • Paid Volunteer Work
  • Unique Perks: Employee Discount U.S. Bluebikes Membership
  • Global Pod Outings
  • Work/Life Balance: Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments

Schedule

This is a hybrid role that requires 3 times a week in office, in addition to scheduled team collaboration required at the Wayfair Office in Boston, Massachusetts, up to 4 times per year. The required team core hours are 9am-5pm EST.

Pay

The salary range for this role is $120,000 - $180,000 annually, depending on experience and qualifications.

Contact Information

If you need assistance with applying for this position or have any questions, please contact us at example@example.com.

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