What You'll Do
- AI Model Development: Design, develop, and optimize machine learning models (e.g., supervised/unsupervised learning, reinforcement learning, deep learning, NLP, etc.) to solve business challenges for our professionals.
- End-to-End AI Pipeline: Build and deploy end-to-end AI pipelines, from data preprocessing to model training, evaluation, and production deployment.
- Collaboration: Work alongside data scientists, software engineers, product managers, and other stakeholders to ensure AI solutions align with business goals and user needs.
- Research and Innovation: Stay up-to-date with the latest AI/ML research and integrate cutting-edge techniques into product development.
- Model Optimization: Continuously monitor, test, and improve models in production environments to ensure they perform optimally and meet business requirements.
- Mentorship: Provide technical leadership and mentorship to junior AI engineers, guiding them in best practices and new techniques.
- Scalability & Performance: Ensure AI systems are scalable, reliable, and capable of handling large-scale data and real-time processing requirements.
- Documentation & Reporting: Create comprehensive documentation of models, algorithms, and workflows, and present findings to technical and non-technical stakeholders.
At a Minimum, We'd Like You to Have
- Minimum of 5 years of professional experience in AI/ML engineering.
- Proven expertise in designing and deploying machine learning models at scale.
- Strong background in deep learning, reinforcement learning, NLP, or computer vision.
- Extensive experience with frameworks like TensorFlow, PyTorch, Keras, or similar.
- Familiarity with cloud platforms (AWS, GCP, Azure) for deploying AI solutions.
- Expertise in programming languages such as Python, C++, or Java.
- Strong mathematical and statistical knowledge, including probability, linear algebra, and optimization techniques.
- Experience with data engineering concepts, such as ETL processes, data pipelines, and handling large datasets.
- Familiarity with version control systems (Git) and CI/CD pipelines for AI/ML.
- Ability to translate complex technical concepts into clear, actionable insights for stakeholders.
- Strong problem-solving skills and the ability to think creatively to overcome technical challenges.
Ideally, You'll Also Have
- Experience with MLOps, model monitoring, and model lifecycle management.
- Knowledge of AI ethics and responsible AI practices.
- Familiarity with cutting-edge techniques in generative AI or multi-modal learning.
- Contributions to open-source AI projects or publications in top AI conferences/journals.
Similar Jobs
What We Do
Houzz is the leading platform for home remodeling and design, providing people with everything they need to improve or design their homes from start to finish. On Houzz, people can find design inspiration, research and hire home professionals, and shop for products and materials to complete their projects. For home professionals, Houzz Pro provides an all-in-one marketing and business management solution that empowers them to stand out, win more clients and manage their projects efficiently and profitably. The Houzz community is made up of millions of homeowners, home design enthusiasts and home improvement professionals around the world.
Our mission is to provide the best experience for home renovation and design, connecting homeowners and home professionals with the best tools, resources and vendors.








