Angi is seeking an exceptional Senior Machine Learning Engineer to join our Data Science and Machine Learning team, playing a pivotal role in transforming our platform into a world-class online marketplace. This position involves tackling complex challenges such as homeowner-pro search ranking and leveraging predictive models to enhance our product and consumer experience. The ideal candidate will apply state-of-the-art machine learning and AI techniques to solve Angi’s marketplace problems, demonstrating proficiency in software engineering. Additionally, the role requires close collaboration with the platform team to deploy models and services at scale with low latencies, ensuring seamless integration and high performance.
🏢 About Angi
For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros 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.
Angi at a glance:
Founded in 1995 as Angie’s List and rebranded in 2021
Global company with 9 brands in 8 countries and employees worldwide
Homeowners have turned to us for 300 million home projects and counting
🎯 The Role
Angi is seeking an exceptional Senior Machine Learning Engineer to join our Data Science and Machine Learning team, playing a pivotal role in transforming our platform into a world-class online marketplace. This position involves tackling complex challenges such as homeowner-pro search ranking and leveraging predictive models to enhance our product and consumer experience. The ideal candidate will apply state-of-the-art machine learning and AI techniques to solve Angi’s marketplace problems, demonstrating proficiency in software engineering. Additionally, the role requires close collaboration with the platform team to deploy models and services at scale with low latencies, ensuring seamless integration and high performance.
✅ Key Responsibilities
Model Development: Lead development of advanced machine learning and AI models to improve our marketplace algorithms (e.g. search ranking, recommendation and matching solutions).
Model Deployment and Engineering: Design and architect robust MLOps practices to ensure the seamless deployment and scalability of machine learning models, including self-hosted large language models (LLMs).
Model Evaluation: Define and own rigorous evaluation frameworks for deep learning and ML systems — offline metrics, online experimentation (A/B testing, guardrail metrics), and LLM-specific evaluation.
Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, ml infra team, data scientists and product managers to build scalable and high-impact machine learning systems.
Innovation: Assist in developing a long-term technical vision; help propose a roadmap for team setting clear objections.
Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence.
📌 Required Qualifications
You hold a Master’s or Ph.D. in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline.
You possess 4+ years of experience in data science and machine learning, ideally within the tech industry and marketplace environments.
You have hands-on experience post-training and self-hosting open-weight LLMs (e.g., fine-tuning, quantization, serving infrastructure such as vLLM, SGLang) rather than relying solely on third-party APIs.
You have a deep understanding of evaluation metrics across deep learning and classical ML and can design evaluation strategies that catch regressions before they reach production.
You have end-to-end fluency in the MLOps lifecycle — data versioning, feature stores, CI/CD for ML, model monitoring/observability, and retraining pipelines — not just model development.
You are knowledgeable about large-scale distributed application architecture, design, implementation, and performance tuning.
You have the ability to drive the roadmap and direction of scalable, production-quality systems end-to-end, and effectively communicate cross-functionally with Product and Engineering teams.
You have practical knowledge of advanced machine learning algorithms and deep learning to deploy for search systems, information retrieval, and ranking algorithms.
You are proficient in SQL, Python and ML frameworks (such as TensorFlow and PyTorch) with strong coding skills.
You possess excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
🎁 Benefits
The base salary band for this position ranges from $200,000-$250,000, commensurate with experience and performance.
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.
