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Machine Learning Engineer - Remote

Posted 31 weeks ago
Data Analysis
Full Time
United States
$160,000 - $190,000/year

Overview

Havenly Brands is seeking a highly skilled and versatile individual to join our team as a Machine Learning Engineer, leveraging proprietary data to drive the development of data-driven tools and enhance user experiences across our portfolio of interior design and ecommerce brands.

In Short

  • Research and apply advanced data science and machine learning techniques.
  • Work in an agile team to identify opportunities for data-driven tools.
  • Develop, train, and deploy machine learning models.
  • Conduct exploratory analysis for new feature development.
  • Engage in data engineering tasks for machine learning training.

Requirements

  • Experience deploying machine learning models on cloud services (GCP/AWS).
  • Proficiency in Python and machine learning frameworks.
  • Strong understanding of Neural Networks.
  • Experience with SQL and data warehouses (Snowflake/BigQuery).
  • Experience with image processing in ML models.
  • Ability to perform data engineering tasks.
  • Solid foundation in machine learning, statistics, and data analysis.
  • Excellent communication skills.
  • A Masters degree or 5+ years of related work experience.

Benefits

  • Competitive compensation.
  • Generous PTO and volunteer days off.
  • Health benefits (Medical, Dental, Vision, Disability).
  • 401K and paid Parental leave.
  • Free design services and furniture discounts.
Havenly logo

Havenly

Havenly is a leading interior design service founded in 2014, dedicated to making beautiful home design accessible to everyone. Headquartered in Denver, the company offers both online and in-person design services across the United States, operating design studios on both coasts. Havenly proudly owns several prominent home furnishings brands, including Interior Define, The Inside, and The Citizenry, and is committed to reinventing the way people design and shop for their homes. The company values diversity and inclusion, striving to create a workplace where all team members feel valued and empowered.

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