Senior Machine Learning Engineer

Angi; Denver (CO); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Year-end bonus

Equity compensation

Full benefits (medical, dental, vision

Flexible vacation policy

401K with company match

Job summary

Angi is seeking a Senior Machine Learning Engineer to join our Data Science and Machine Learning team, tackling homeowner-pro search ranking and predictive models to enhance product experience. You will deploy models at scale with low latency, collaborating with platform teams and translating research into production-ready solutions.

We value expertise in ML frameworks (TensorFlow, PyTorch), SQL, Python, and end-to-end MLOps, with a track record of shipping reliable ML systems in a marketplace

Qualifications

• Master’s or Ph.D. in a quantitative field.
• 4+ years of data science and ML experience.
• Hands-on experience post-training and self-hosting open-weight LLMs.
• Deep understanding of evaluation metrics across DL and ML.
• End-to-end MLOps lifecycle knowledge.

Responsibilities

• Lead development of ML/AI models to improve marketplace algorithms and user experience.
• Design and architect robust MLOps practices for deployment and scalability.
• Define evaluation frameworks for DL/ML and LLMs to ensure quality and safety.
• Collaborate with engineers, infra, data scientists, and product managers to build scalable systems.
• Contribute to long-term technical vision and roadmap; mentor junior members.

Skills

SQL

Python

TensorFlow

PyTorch

LLMs self-hosting

MLOps

Distributed systems

Model evaluation

Communication

Education

Master's in CS/Statistics/Math

PhD in a quantitative field

Tools

vLLM

SGLang

Job description

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

About 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.

What You’ll Do

• Model Development: Lead development of advanced machine learning and AI models to improve our marketplace algorithms (e.g. search ranking, recommendation and matching solutions). Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success.
• 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). This includes automating model training and post-training (fine-tuning, RLHF/preference alignment, distillation), optimizing runtime performance and inference cost of models, and owning the full MLOps lifecycle — from data pipelines and experiment tracking through CI/CD, model registry, monitoring, and rollback — to enable fast, reliable delivery of machine learning solutions into production environments.
• 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 (hallucination rate, task accuracy, human/LLM-as-judge scoring) — to ensure models meet quality and safety bars before and after deployment.
• 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. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services.
• Innovation: Assist in developing a long-term technical vision; help propose a roadmap for team setting clear objections. Play a vital role in the design and implementation of new products and features, while also enhancing the existing product suite with innovative machine learning capabilities.
• Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia.

Who You Are

• 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.

Compensation & Benefits

• The base salary band for this position ranges from $200,000-$250,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location.
• 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.

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.

Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.