At Angi®, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want.
Angi at a glance:
- Homeowners have turned to Angi for more than 300 million projects
- 1,000+ home service tasks covered
- 2,800 employees worldwide
Why join Angi:
Angi® is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well.
For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we’re an amazing place to call home. We can’t wait to welcome you.
About the role:
Angi is seeking an exceptional Director of Machine Learning and Engineering to be a driving force behind Angi's transformation. The role is to be a leader in our Artificial Intelligence team, tackling challenges such as integrating Angi’s search with LLM Providers like OpenAI GPT and Google Gemini. This is a leadership role, leading a team of dedicated machine learning engineers to both develop ML prototypes and then take them to production. In addition to being a leader, we’re also looking for someone who can dive into tech and get their hands dirty to solve some of Angi’s biggest technical challenges.
What you’ll do
- Leadership: Lead and grow a team of talented machine learning engineers, providing guidance, mentorship, and support to foster professional growth. For our most complex challenges, you will dive into the tech to work through solutioning alongside your team.
- LLM Deployment and Optimization: Oversee the fine-tuning and deployment of LLMs, including Retrieval-Augmented Generation (RAG) in an agentic framework, with a focus on optimizing model performance and scalability to enhance user experience and drive business results.
- Integration with 3rd Party AI APIs: Oversee the integration and management of AI tools and third-party solutions, including OpenAI GPT, Google Gemini, Meta AI, and Salesforce AI, to enhance user experience and business performance.
- Engineering & Product Collaboration: Partner with engineering, product, and design teams to build robust, scalable real-time APIs, and work on the entire development process to seamlessly integrate AI solutions into our products.
- Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems.
Who you are
- You have a Master’s or Ph.D. in a computer science or quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).
- You have 10+ years of experience in machine learning & engineering, with a focus on large-scale distributed application architecture for deploying ML models to production.
- You are an expert in machine learning deployment, API development, and real-time ML workloads.
- You are proficient in Python and comfortable diving deep into technical challenges alongside your team.
- You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits
- The salary band for this position ranges from $250,000-$325,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living.
- This position will be eligible for a competitive year end performance bonus & equity package.
- Full medical, dental, vision package to fit your needs
- Flexible vacation policy; work hard and take time when you need it
- Pet discount plans & retirement plan with company match (401K)
- The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
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