Senior Machine Learning Engineer

Angi; United States; Remote; USD 200,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, vision

Flexible vacation policy

Pet discount plans

401K with company match

Equity package

Job summary

Angi is seeking a Senior Machine Learning Engineer to join our Data Science and ML team, shaping the marketplace with advanced ML models and robust deployment pipelines. You will design end-to-end ML systems, from data versioning and feature stores to CI/CD, monitoring, and scalable inference.

You have 4+ years in ML, hands-on experience with self-hosted LLMs, and strong skills in SQL, Python, TensorFlow and PyTorch.

Qualifications

• Master’s or Ph.D. in a quantitative field.
• 4+ years of data science and ML experience.
• Hands-on experience self-hosting open-weight LLMs.
• Deep understanding of evaluation metrics for ML/DL.
• End-to-end fluency in the MLOps lifecycle.
• Knowledge of large-scale distributed architectures.
• Ability to drive production-scale roadmaps.
• Practical ML for search, information retrieval and ranking.
• Proficient in SQL, Python and TF/PyTorch.
• Excellent communication with non-technical stakeholders.

Responsibilities

• Model Development: lead ML model development for marketplace ranking and matching.
• Model Deployment: design robuste MLOps for scalable deployment including self-hosted LLMs.
• Model Evaluation: create offline/online evaluation frameworks and guardrails.
• Cross-functional collaboration with engineers, data scientists and product managers.
• Innovation: contribute to long-term technical vision and roadmaps.
• Mentorship: guide junior team members and promote knowledge sharing.

Skills

MLOps

Python

SQL

TensorFlow

PyTorch

Evaluation metrics

Distributed systems

Communication

Education

Master's or Ph.D. in Computer Science/Statistics/Mathematics or related field

Tools

vLLM

SGLang

CI/CD for ML

Job description

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.