ANGI Homeservices Inc.

Staff Machine Learning Engineer

ANGI Homeservices Inc. • $230K — $310K *
US-AnywhereRemote in United States
Consumer Technology
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics).
  • 6+ years of experience in data science and machine learning, preferably in tech and marketplace settings.
  • Hands-on experience with post-training and self-hosting open-weight LLMs (e.g., fine-tuning, quantization).
  • Deep understanding of evaluation metrics for ML and deep learning systems.
  • End-to-end fluency in the MLOps lifecycle, from data versioning to retraining pipelines.
  • Knowledgeable in distributed application architecture and performance tuning.
  • Strong in SQL, Python, and ML frameworks (e.g., TensorFlow, PyTorch).
  • Excellent communication skills for conveying technical concepts to non-technical stakeholders.

Responsibilities

  • Lead development of advanced machine learning models to enhance marketplace algorithms.
  • Design robust MLOps practices for scalable deployment of machine learning models.
  • Own rigorous evaluation frameworks for deep learning and ML systems.
  • Collaborate with engineers, data scientists, and product managers on scalable ML systems.
  • Develop a long-term technical vision and set clear objectives for the team.
  • Mentor junior team members and promote a culture of technical excellence.

Benefits

  • Full medical, dental, and vision package.
  • Flexible vacation policy allowing work-life balance.
  • Pet discount plans and retirement plan with company match (401K).
  • Opportunity to work with driven teammates on unique challenges.
Full Job Description
About the role:

Angi is seeking an exceptional Staff 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 technical leadership 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: Develop a long-term technical vision; 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 6+ 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 $230,000-$310,000, 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.

About ANGI Homeservices Inc.

Angi Homeservices Inc. revolutionizes the way homeowners find and connect with service professionals. Since its inception in 1998 and headquartered in Denver, Colorado, Angi has grown into a leading digital marketplace for home services across North America and Europe, through platforms like HomeAdvisor, Handy, and MyHammer.

The Mission of Angi

At its core, Angi is dedicated to simplifying home improvement and repair projects, making it easier for homeowners to find trusted professionals for their needs.

Career Opportunities at Angi

Angi offers a wealth of employment opportunities for professionals seeking to contribute to a dynamic and growing digital marketplace.

A Wide Range of Professional Paths

From tech and product development to marketing and customer service, Angi careers span various fields and expertise levels.

Job Categories and Specializations

Angi's diverse range of services necessitates a variety of specializations and job categories.

Technology and Development

Positions in software engineering, UX/UI design, and product management drive the innovation and usability of Angi's platforms.

Sales and Customer Support

These roles focus on connecting homeowners with service professionals and ensuring satisfaction with Angi’s services.

Employee Benefits and Perks

Angi recognizes the importance of comprehensive benefits and perks in maintaining job satisfaction and work-life balance for its staff.

Health and Wellness

Angi offers competitive health insurance plans, wellness programs, and flexible spending accounts to support the health and well-being of its employees.

Job Application Process

Navigating the job application process at Angi is your first step towards a rewarding career path in the home services industry.

How to Apply

Candidates interested in Angi careers can explore current job openings on Angi’s career portal, where they can submit applications and resumes for positions that match their qualifications and career goals.

Training and Development Programs

Continuous growth and learning are pillars of the Angi employment experience, with various programs designed to enhance skills and advance careers.

Advancing Professional Skills

Angi provides access to training sessions, workshops, and online courses to encourage professional development and skill enhancement.

Company Culture and Values

At Angi, the company culture is rooted in innovation, collaboration, and a commitment to excellence, fostering a supportive and dynamic work environment.

Collaboration and Innovation

Angi’s culture encourages teamwork and creative problem-solving, allowing employees to contribute to the company's mission meaningfully.

Success Stories of Angi Employees

Hearing from Angi employees about their journeys within the company can provide valuable insights into the opportunities and rewards of building a career at Angi.

From Entry-Level to Leadership

Many Angi employees have experienced significant career growth and advancement, illustrating the company's investment in its team’s development. Visit their investor relations page for more information.

Career Growth and Advancement Opportunities

Angi is committed to the career advancement of its employees, offering clear paths for professional development and progression within the company.

Pathways for Promotion

Angi's meritocratic approach ensures that hard work, innovation, and contributions to company success are recognized and rewarded.
Learn more about ANGI Homeservices Inc.
Size
4,000 employees
Market Cap
$7.8 billion
Industry
Real Estate & Construction
Net Income
-$6.2 million
Founded
1995
5 Year Trend
+33.7%
Revenue
$1.4 billion
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at ANGI Homeservices Inc.

More Consumer Technology Jobs

Find similar Staff Machine Learning Engineer jobs:

NationwideRemote