Greenhouse06.03.26
AI SCORE 8.5

Remote Senior Machine Learning Engineer - AI-Driven Hiring Solutions

$140K–$180K/year

About the Role

Join Greenhouse as a Remote Senior Machine Learning Engineer and be part of a mission-driven team dedicated to transforming the hiring process through innovative AI solutions. In this role, you'll leverage your expertise in machine learning to develop models that enhance our products, including AI agents, resume parsing, and predictive analytics. This is an exciting opportunity to work remotely and make a significant impact in the field of hiring.

What You'll Do

  • Develop and deploy machine learning models to improve product features and functionalities.
  • Train deep learning models using PyTorch and Transformers, experimenting with techniques to optimize performance.
  • Collaborate with cross-functional teams, including data science, product, and engineering, to integrate machine learning capabilities into existing systems.
  • Monitor and maintain deployed models, ensuring their accuracy and reliability in real-world applications.
  • Contribute to the continuous improvement of our machine learning processes and methodologies.

Requirements

  • 5+ years of experience in machine learning and software engineering.
  • Strong proficiency in Python and experience with machine learning frameworks such as PyTorch.
  • Experience in developing and deploying machine learning models in production environments.
  • Familiarity with deep learning techniques and best practices.
  • Excellent collaboration and communication skills, with a passion for working in a team-oriented environment.

Nice to Have

  • Experience with cloud platforms (AWS, GCP, Azure) for deploying machine learning solutions.
  • Knowledge of data engineering and data pipeline development.
  • Familiarity with natural language processing (NLP) techniques.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 per year.
  • Fully remote work environment, allowing you to work from anywhere in the United States.
  • Comprehensive health benefits and wellness programs.
  • Opportunities for professional development and continuous learning.
  • A collaborative and inclusive company culture that values diversity and innovation.
Why This Job8.5 of 10

This Remote Senior Machine Learning Engineer position at Greenhouse offers a competitive salary and the opportunity to work on innovative AI solutions in hiring.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and experienced with PyTorch for developing and optimizing machine learning models, particularly in the areas of deep learning and transformer architectures.

Self-motivated with a strong ability to manage time effectively in a remote work environment, ensuring productivity while collaborating with cross-functional teams on AI-driven projects.

Demonstrated experience in data engineering, including data preprocessing and feature engineering, to support the development of predictive models that enhance hiring solutions.

Learning Resources

Deep Learning with Python and PyTorchcourse

Career Path

Remote Senior Machine Learning Engineer - AI-Driven Hiring Solutions(Now)Lead Machine Learning Engineer(1-2 years)Director of Machine Learning(3-5 years)

Market Overview

Market Size 2024
$15.7B
Annual Growth
22.5%
AI Adoption in Hiring
45%
Investment in AI Solutions
+30%
Labour Demand for ML Engineers
+35%
Avg Salary for Senior ML Engineers
$135K

Skills & Requirements

Required
PythonPyTorchMachine Learning
Growing in Demand
TensorFlowNatural Language Processing (NLP)Cloud Computing (AWS, Azure)
Declining
Scikit-learnR Programming

Domain Trends

Rise of AI in Recruitment
45% of companies are currently using AI-driven solutions in their hiring processes, enhancing efficiency and candidate matching.
Increased Demand for Ethical AI
70% of organizations are prioritizing ethical AI practices, leading to a surge in demand for ML engineers who can implement fairness and transparency in algorithms.
Shift to Cloud-Based ML Solutions
Cloud-based machine learning solutions are expected to grow by 40% by 2025, driving demand for engineers skilled in cloud platforms like AWS and Azure.

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