Overview

As an ML engineer, you will play a key role in developing and implementing machine learning solutions to enhance product offerings. You will collaborate with software engineers and data scientists to integrate machine learning models into the codebase and products. This role provides an opportunity to shape the technology stack and make a significant impact.

The compensation package includes a competitive salary, equity, and exceptional benefits. The cash compensation range for this role is $185,000 - $240,000, with final offers determined by experience and expertise.

Responsibilities:

  • Lead efforts in ML adoption and integration of ML tools and techniques
  • Collaborate with cross-functional teams to identify and define machine learning opportunities aligned with the product roadmap
  • Develop, train, and deploy machine learning models using Python and popular ML frameworks
  • Utilize off-the-shelf ML tools to accelerate the incorporation of ML functionality into products and workflows
  • Integrate ML models and pipelines into main JavaScript/TypeScript applications
  • Optimize ML models for performance, scalability, and efficiency
  • Design and implement data pipelines for preprocessing, feature engineering, and model training
  • Own integrated product experiences and internal tools

Requirements:

  • 7+ years of relevant experience with data and ML systems
  • Strong programming skills in Python and experience with Python ML libraries (e.g., Transformers, TensorFlow)
  • Solid understanding of ML algorithms, deep learning, and statistical modeling
  • Ability to work independently and autonomously, taking ownership of work and production systems
  • Commitment to high standards for production systems and collaboration with diverse teams

Nice to have:

  • Proficiency in Node.js and JavaScript for ML model integration
  • Familiarity with cloud platforms (e.g., AWS)
  • Experience with consumer web applications at scale

This role is ideal for someone passionate about creating innovative solutions and contributing to building better content models.

Job Type: Full-time

Pay: $185,000.00 - $240,000.00 per year

Benefits:

  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

Schedule:

  • Monday to Friday

Work Location: Remote

Salary

Competitive

Yearly based

Remote Job

Worldwide

Job Overview
Job Posted:
1 year ago
Job Type
Full Time
Job Role
Any
Education
Any
Experience
Any
Total Vacancies
-

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Location

United States