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Full-Time

Staff Machine Learning Engineer

Confirmed live in the last 24 hours

Angi

Angi

1,001-5,000 employees

Comprehensive solution for home needs

Consumer Goods

Compensation Overview

$200k - $280kAnnually

+ Performance Bonus + Equity Package

Senior, Expert

Remote in USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Data Science
Data Structures & Algorithms
SQL
Requirements
  • 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.
Responsibilities
  • Lead development of machine learning models and algorithms to improve our search ranking and how we match consumers with pros.
  • Implement robust MLOps practices to ensure the seamless deployment and scalability of machine learning models.
  • Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems.
  • Foster innovation within the team, exploring new approaches and techniques to solve complex business problems.
  • Guide junior team members and foster a culture of continuous learning and technical excellence.

At Angi, they invest their resources into growing their business and their people. Angi's mission is to help the best consumers find the best service providers and promote happy transactions remains the same.

Company Stage

N/A

Total Funding

$225.5M

Headquarters

Denver, Colorado

Founded

2017

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

24%

Benefits

Competitive compensation.

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