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Senior Software Engineer, AI

About the Role


We are looking for a highly skilled and motivated Senior AI Engineer to join our innovative Houzz Pro team in Nepal. If you are passionate about pushing the boundaries of AI and machine learning, we’d love to hear from you.


As a Senior AI Engineer, you will be responsible for designing, developing, and implementing advanced AI models and machine learning algorithms that power our core products and services. You will work closely with cross-functional teams to understand business requirements, innovate new AI-driven solutions, and deploy scalable models. The ideal candidate has a deep understanding of AI principles, strong coding skills, and a proven track record in developing AI systems that deliver real-world impact.


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.


Houzz is an Equal Employment Opportunity employer. When applying for a role at Houzz, we guarantee your application will be considered regardless of your sex; race; color; gender; national origin; height or weight; ancestry; physical or mental disability; medical condition; genetic information; marital status; registered domestic partner status; age; sexual orientation; military and veteran status; or any other basis protected by federal, state or local law or ordinance or regulation.


We embrace and celebrate the value that diversity brings to an organization. Diverse backgrounds and different points of view help Houzz provide the best experience for our community. Houzz is committed to fostering an inclusive environment through projects and initiatives, such as employee resource groups, that support Houzzers’ efforts to be themselves and share their lives at work.


If you would like assistance or an accommodation due to a disability, please email us at accommodations@houzz.com. This information will be treated as confidential and used only for determining an appropriate accommodation for the interview process.


 

Houzz is an Equal Opportunity Employer. M/F/Disability/Veterans

__________________


Be Who You Are and Do What You Love at Houzz 


About Houzz

When founders Adi and Alon remodeled their home, they were frustrated by the lack of resources and inspiration to help them articulate a vision and select the right pro to make it a reality. 


So they built Houzz. 


Houzz is now the leading platform for home remodeling and design, providing an all-in-one software solution for industry professionals and tools for homeowners to update their homes from start to finish. Using Houzz, people can find ideas and inspiration, hire professionals, and shop for products. Houzz Pro (houzz.com/pro) provides home industry professionals with a business management and marketing SaaS solution that helps them to win projects, collaborate with clients and teams, and run their business efficiently and profitably. 


Our Mission and Core Values

We're proud to say there's no one quite like us. Houzz is a community-centric, innovative tech company that continues to disrupt the home renovation and design industry. Our mission-driven culture is rooted in our core values, and we’re all here for one purpose: make the home remodeling and design process more fun and productive for everyone. 


Our Mission

To create the best experience for home renovation and design.


Our Core Values

We’re a Community

We put our community of Houzzers, industry professionals and homeowners first. We approach our work with care, humility and respect. We deliver value to our community through our products and services.


We Build the Future

We are visionaries who challenge the status quo. We are creative, innovative and curious. We embrace change and different ideas to drive our industry forward. 


We Make Things Happen

We are solution-seekers and self-starters. We listen, move fast and empower our teams to deliver extraordinary results and products. We play to win.

 


By applying for a job with us, you acknowledge and agree to the terms of our Job Applicant Privacy Notice.


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What You Should Know About Senior Software Engineer, AI, Houzz

Join Houzz as a Senior Software Engineer, AI in the beautiful region of Nepal! If you’re an innovator who's excited about the world of artificial intelligence and machine learning, we’re keen to hear from you. In this role, you’ll unleash your creativity by designing and implementing cutting-edge AI models that enhance our core services. Picture yourself collaborating with bright minds across various departments, ensuring that our AI solutions are not only efficient but are pushing the envelope in innovation. You’ll be at the forefront of building end-to-end AI pipelines that handle everything from data preparation to model deployment. Your strong programming skills and expertise in machine learning frameworks like TensorFlow or PyTorch will be vital in developing algorithms that solve real-world problems faced by our professionals. We’re looking for someone with at least 5 years of experience, a passion for research, and the ability to mentor junior engineers, as well as the initiative to keep up with the latest advancements in AI. At Houzz, we value diversity and believe that the unique perspectives each team member brings help us create the best solutions for our vibrant community. If you’re ready to leave your mark on the future of home design and renovation technology, then this role might just be the perfect fit for you!

Frequently Asked Questions (FAQs) for Senior Software Engineer, AI Role at Houzz
What are the responsibilities of a Senior Software Engineer, AI at Houzz?

As a Senior Software Engineer, AI at Houzz, your responsibilities include designing and developing machine learning models, constructing end-to-end AI pipelines, collaborating with cross-functional teams, and providing mentorship to junior engineers. You will also be responsible for optimizing models in production and ensuring they meet business requirements, all while staying updated with the latest AI/ML research.

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What qualifications are necessary for the Senior Software Engineer, AI position at Houzz?

To qualify for the Senior Software Engineer, AI role at Houzz, you should have a minimum of 5 years of professional experience in AI and machine learning engineering. Strong expertise in deep learning, reinforcement learning, or NLP is essential, along with proficiency in languages like Python or Java and frameworks such as TensorFlow and PyTorch.

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What kind of projects will I work on as a Senior Software Engineer, AI at Houzz?

In the role of Senior Software Engineer, AI at Houzz, you will work on innovative AI-driven projects that enhance user experiences. This includes developing machine learning algorithms that can solve various business challenges, improving scalability and performance of AI systems, and integrating cutting-edge techniques into product development.

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How does Houzz foster diversity in the workplace for Senior Software Engineers, AI?

Houzz is deeply committed to fostering an inclusive workspace that values diversity. As a Senior Software Engineer, AI, you will be part of an environment that stresses equal opportunity, encouraging individuals of varied backgrounds to bring their unique perspectives to the team. This commitment is reflected in various initiatives designed to support Houzz employees in expressing their authentic selves.

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What technologies will I use as a Senior Software Engineer, AI at Houzz?

As a Senior Software Engineer, AI at Houzz, you'll primarily use modern AI frameworks like TensorFlow, PyTorch, and Keras for model development. You'll also engage with cloud platforms like AWS, GCP, or Azure for deployment, and tools for data engineering processes, ensuring a well-rounded technical experience.

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Common Interview Questions for Senior Software Engineer, AI
Can you explain a machine learning project you've worked on?

When discussing a machine learning project, focus on your role, the challenge you faced, the approach you took, and the outcome. Be specific about any algorithms you implemented and the impact of the project on the business.

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What are common pitfalls in AI model development?

Common pitfalls include overfitting the model, neglecting data preprocessing, and failing to validate models effectively. Mention the importance of monitoring model performance and updating approaches based on real-world results.

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How do you ensure the scalability of AI models?

To ensure scalability, discuss your approaches to optimizing model training, using robust infrastructure, and leveraging cloud services. Explain how you test models in bigger data environments to guarantee performance remains intact.

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Describe your experience with deep learning frameworks.

Detail your hands-on experience with popular frameworks such as TensorFlow or PyTorch. Mention specific projects where you utilized these tools and how they advanced the work you've done.

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How do you stay updated with the latest in AI and machine learning?

Share the resources you turn to for learning—whether it’s attending conferences, engaging with research papers, participating in online courses, or being involved in AI communities. Convey a proactive approach to continuous learning.

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What does responsible AI mean to you?

Responsible AI involves developing systems that are ethical, transparent, and minimize biases. Discuss strategies for ensuring AI practices are fair and meet ethical standards in product deployment.

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Can you explain a situation where you mentored someone?

Tell about a time when you guided a junior engineer through a technical challenge. Focus on your mentorship style, emphasis on best practices, and the overall outcome of their growth.

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What techniques do you use to optimize ML models?

Discuss techniques such as hyperparameter tuning, implementing regularization, and employing cross-validation methods to ensure that your models perform well and remain robust over time.

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What challenges have you faced in deploying AI solutions?

It’s important to highlight problems like latency, integration with existing systems, and ensuring model accuracy in real-world scenarios. Discuss how you overcame these challenges effectively.

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How do you approach collaboration with non-technical stakeholders?

Mention your strategies for translating complex technical concepts into clear terms, ensuring alignment with business goals, and fostering a collaborative environment where feedback is encouraged.

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We provide the best experience for home renovation and design, connecting homeowners and home professionals with the best tools, resources and vendors.

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Inclusive & Diverse
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Growth & Learning
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Full-time, remote
DATE POSTED
February 12, 2025

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