Senior ML Engineer

CloudDevs; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

A forward-thinking technology company in the United States is seeking a Senior or Staff level AI/ML Engineer to lead the development of its AI stack for residential construction. This role involves defining the vision for AI integration, designing scalable systems, and delivering high-quality code. Ideal candidates should have 7+ years of experience and a strong background in AI/ML systems, particularly with LLMs. Join our small, high-impact team to shape the future of homebuilding.

Qualifications

• 7+ years of professional software engineering experience focusing on AI/ML.
• Experience shipping LLM-powered features into production.
• Demonstrated leadership and problem-solving in AI challenges.

Responsibilities

• Define vision for AI/ML integration into products.
• Design and build scalable AI systems.
• Deliver production-grade code ensuring reliability.
• Raise the bar across engineering by mentoring teams and guiding engineers through tough AI challenges.
• Stay ahead of the AI landscape, bringing forward ideas with clear business impact.

Skills

Software engineering

AI/ML systems

Python

Prompt engineering

Pandas

Scikit-learn

TensorFlow

Spark

Tools

PyTorch

TensorFlow

Spark

Job description

Homebound is on a mission to make it possible for anyone, anywhere, to build a home using technology. Created by an experienced team of construction, real estate, design, and technology experts, Homebound is transforming the residential construction industry by improving the costly and inefficient process of building a home.

We’ve created an entirely new way to build homes with technology powering every stage from start to finish to provide a seamless experience for our customers. Homeowners across the country can choose where they want to live, select a home plan that’s perfect for them, then personalize and buy it, all online. Homebound has raised $150M in capital from leading venture capitalists like Google, Khosla, Thrive Ventures, and we’re scaling quickly in places like Texas, Colorado and Florida. Come build your future with us.

Homebound is proud to be named one of Inc.’s Best Workplaces of 2023.

Role Overview

Homebound is seeking an exceptional Senior or Staff level AI/ML Engineer to accelerate our mission of building the leading vertical AI stack for residential construction. Our proprietary platform captures granular data at every stage of the homebuilding process, enabling us to develop novel LLM-powered applications that improve efficiency and quality across the board.

We are a small, fast-moving team with multiple AI products already in production and a rapidly growing GenAI platform. In this role, you will lead the research and implementation of cutting‑edge advancements in AI, design and deploy impactful features, and collaborate with cross‑functional teams to shape the future of homebuilding.

What You’ll Do

• Shape the vision for how AI/ML, particularly LLMs, integrate into Homebound’s products and operations. Define technical standards for experimentation, deployment, and evaluation.
• Design and build scalable AI systems that can handle real‑world production workloads and evolve with the business.
• Deliver high‑quality, production‑grade code daily while ensuring observability, maintainability, and reliability.
• Raise the bar across engineering by teaching AI best practices, reviewing designs, and guiding engineers through complex technical challenges.
• Stay abreast of the rapidly evolving AI landscape, bringing forward cutting‑edge ideas while focusing investment where it creates clear business impact.

What You’ll Bring

• 7+ years of professional software engineering experience, with a strong focus on AI/ML systems.
• Shipped LLM-powered features into production, including hands‑on experience with prompt engineering, RAG, eval frameworks, and agentic workflows.
• Demonstrated leadership, including mentoring teams, influencing technical direction, and being the go‑to problem solver for complex AI challenges.
• Fluency in Python and experience with core ML/data libraries (e.g., Pandas, Scikit‑learn, PyTorch/TensorFlow, Spark).
• Proven ability to design systems that balance rapid experimentation with long‑term reliability and maintainability.

Who you are

• You take ownership and seek autonomy over your work and outcomes.
• You’re excited to learn and grow as part of a small, nimble, high‑impact team.
• You are self‑directed, comfortable prioritizing your own work with minimal oversight.
• You communicate clearly and proactively—especially in writing.
• You’re humble, good‑natured, and bring a positive energy to your team.

Salary Range

We are hiring for this role at one of the following levels, with placement determined by your job‑related skills, experience, and relevant education or training.

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. To apply, please submit an application with your resume on the Career’s page.

Our salary ranges are determined by role, level, and location. Please note that the salary range displayed on each job posting may vary by state. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter will share more about the specific salary range for your preferred location during the hiring process. Please note that each job posting includes a general description of any other compensation offered for the position in addition to the salary range displayed on the job posting. You can find information about our benefits .

Homebound is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Homebound considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.