Applied Research Engineer

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Develop the component framework surrounding the layout synthesis engine, which includes a well-documented API contract, a callable service, and an evaluation gate.

• Streamline model retraining into a single-command task, complete with built-in benchmarks and clear team results.

• Manage latency and cost budgets associated with learned capabilities.

• Expand core research into functionalities like multi-story plans and real-time editing.

• Collaborate with infrastructure engineers on MLOps and deployment strategies.

• Provide mentorship to researchers and interns regarding engineering best practices.

• Convey progress through weekly status reports, well-defined pull requests, and design documentation.

• Integrate spatial AI research capabilities into Higharc's home-design and construction offerings.

• Enhance the current engine, schema, and evaluation frameworks to improve speed, reproducibility, and extensibility.

⛳️ Requirements

• A minimum of 5 years in professional software development, with at least 2 years focused on training and delivering ML models to actual users.

• Comprehensive experience in data preparation, training, evaluation, serving, and user-facing integration for at least one model.

• Proficiency in Python and PyTorch; familiarity with TensorFlow or Keras is acceptable, with a willingness to transition to PyTorch.

• Background in handling geometric or structured data such as floor plans, CAD, BIM, graphs, or 2D/3D geometry.

• Experience in building or maintaining an evaluation harness or benchmark and utilizing it to manage changes.

• Proven experience in packaging a model behind an API, like FastAPI, while managing latency and cost considerations.

• A Master's degree in computer science, machine learning, or a related field, or equivalent delivered work.

• Ability to work remotely with a team during US Eastern hours.

• A background in architecture or construction is advantageous.

• Additional experience with OR-Tools CP-SAT, optimization, generative layout/floor-plan models, Rhino, Grasshopper, Revit, Hugging Face, experiment tracking, AWS, Modal, publications, or open-source contributions is a plus.

🏝️ Benefits

• Significant equity.

• Comprehensive medical, dental, and vision insurance for full-time employees based in the U.S.

• Flexible paid time off (PTO).

• Generous maternity/paternity leave for U.S.-based full-time employees.

• Short- and long-term disability plans.

• 401(k) retirement plan.

• Stipend for home office setup.

• Continuous support for learning and development.

• Fully remote work environment.

• Regular team gatherings in various hubs across the U.S.