Staff Machine Learning Engineer

Posted 2 Days Ago
Hiring Remotely in New York, NY
Remote or Hybrid
200K-280K
Senior level
Consumer Web • Other
The Role
As a Staff Machine Learning Engineer at Angi, you'll lead model development, deploy MLOps solutions, collaborate across teams, foster innovation, and mentor juniors to enhance machine learning capabilities.
Summary Generated by Built In

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 team

Angi is seeking an exceptional Staff Machine Learning Engineer who can enable our transformation into a world-class online marketplace. The role is in our Data Science and Machine Learning team, tackling challenges such as homeowner-pro matching, search ranking, and using predictive models to optimize our product and consumer experience. This is a technical leadership role where you will apply state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. In addition to developing models, we’re also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically.

What you’ll do

  • Model Development & Data Strategy: Lead development of machine learning models and algorithms to improve our search ranking and how we match consumers with pros. Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success.
  • Model Deployment & MLOps: Implement robust MLOps practices to ensure the seamless deployment and scalability of machine learning models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments.
  • Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers 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: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems.
  • Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia.

Who you are

  • You have a Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).
  • You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments. 
  • You are an expert in machine learning and deep learning, and have a good working knowledge of large language models. 
  • You have a proven track record of deploying highly impactful machine learning models into production environments.
  • You are proficient in SQL and Python, and have experience with cloud ML solutions.
  • 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 $200,000 - $280,000 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 

#LI-Remote
#BI-Remote

Top Skills

Cloud Ml Solutions
Deep Learning
Large Language Models
Machine Learning
Mlops
Python
SQL
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The Company
HQ: Denver, CO
4,900 Employees
Year Founded: 1999

What We Do

Angi® is transforming the home services industry, creating an environment for homeowners, service professionals and employees to feel right at “home.” For most home maintenance needs, our platform makes it easier than ever to find a qualified service professional for indoor and outdoor jobs, home renovations (or anything in between!). We are on a mission to become the home for everything home by helping small businesses thrive and providing solutions to financing and booking home jobs with just a few clicks.

Over the last 25 years we have opened our doors to a network of over 200K service professionals and helped over 150 million homeowners love where they live. We believe home is the most important place on earth and are embarking on a journey to redefine how people care for their homes. Angi is an amazing place to build your dream career, join us—we cannot wait to welcome you home!

Why Work With Us

The Sales Team at Angi is built with individuals that have the ability to forge ahead but our superpower lies in our ability to unite as a team. If one person fails, the team fails. With every success, the team celebrates. It is this camaraderie that makes Angi unique.

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