New Balance is looking to develop intelligent computational systems that accelerate footwear and apparel design, enhance performance and fit, and transform enterprise workflows by using multimodal data and machine intelligence (AI/ML) systems.
Requirements
- Programming & ML: Python, PyTorch, TensorFlow, PyTorch3D, Open3D, Kaolin
- 3D Data & Geometry: Parametric surfaces, polygonal meshes, point clouds, voxels, implicit SDFs, format conversion, geometric feature extraction
- Visualization & Simulation: Rhino/Grasshopper, Blender, Houdini, Unity, custom CAD/CAM plug-ins, generative design tools, fabrication-ready outputs
- Pipelines & Deployment: Scalable ML pipelines, data ingestion to deployment, API integration, spatial and visual workflow integration
- Computer Vision & Sensors: Image-based feature extraction, 3D sensor data, time-series data, physical behavior prediction
- Agentic AI & Automation: LangChain, CrewAI, reinforcement learning, multi-agent systems, autonomous workflows, enterprise automation pipeline
Responsibilities
- Computational Design & ML Integration: Build and deploy ML pipelines in CAD and generative tools for concept exploration and insight generation.
- Data-Driven Generative & Predictive Modeling: Curate multi-modal datasets (3D scans, biomechanics, sensor data, consumer insights) and train models for geometry generation, semantic classification, and attribute prediction (fit, flexibility, durability, sustainability).
- Geometric & Feature Engineering: Extract and engineer geometric and physical features to enable predictive simulations, reusable design metrics, and measurable performance outcomes.
- Scalable Systems & Documentation: Deploy modular API-driven systems; maintain reusable code libraries, parametric definitions, and user guides to ensure scalability and continuity.
- Agentic Automation: Develop and integrate multi-agent AI systems and workflows to address bottlenecks in manufacturing, product development, and enterprise infrastructure.
- Cross-Functional Collaboration: Partner with design, engineering, strategy, IT, e-commerce, and retail to align tools with enterprise goals; drive iteration through prototyping, feedback loops, and adoption support.
Other
- Master’s degree in Architecture, Computational Design, ML, CS, or related field required, Ph.D. is preferred.
- 5+ years of experience applying ML in computational design, architecture, product design, or related domains.
- Strong portfolio showcasing projects at the intersection of design and ML (geometry-driven ML, spatial modeling, design automation).
- Proven ability to bridge creativity and engineering through computational methods.
- Travel and work schedule requirements: work in office three days per week (Tuesday, Wednesday, and Thursday), with 'Work from Anywhere' (WFA) for four weeks per calendar year.
