Talantix.io
Greenhouse•17.02.26
AI SCORE 8.5

Remote Senior Machine Learning Engineer - AI Solutions

$140K–$180K/year
RemoteAI/Big Data
Machine Learning•Deep Learning•PyTorch•Transformers•Software Engineering

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 will leverage your expertise to develop machine learning models that enhance our products, including AI agents, resume parsing, and predictive analytics. This is an exciting opportunity to work remotely and contribute to meaningful projects that have a real impact on how companies hire.

What You'll Do

  • Develop software applications with a strong focus on machine learning, ensuring high performance and reliability.
  • Train deep learning models using PyTorch and Transformers, experimenting with techniques to optimize their performance.
  • Collaborate with data science, product, and engineering teams to deploy, monitor, and maintain machine learning models.
  • Support other product engineering teams in implementing machine learning capabilities, fostering a collaborative environment.
  • Continuously refine your skills and contribute to key projects that drive the company's success.

Requirements

  • 5+ years of experience as a Machine Learning Engineer or similar role, with a strong focus on deep learning.
  • Proficiency in machine learning frameworks, particularly PyTorch.
  • Experience with software engineering practices and the ability to perform a wide variety of tasks.
  • Strong problem-solving skills and a passion for leveraging AI to improve hiring processes.
  • Excellent collaboration and communication skills, with the ability to work effectively across teams.

Nice to Have

  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Familiarity with data engineering practices.
  • Knowledge of additional machine learning frameworks.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional growth and development.
  • Collaborative and inclusive company culture.
  • Health, dental, and vision insurance.
Why This Job8.5 of 10

This Remote Senior Machine Learning Engineer position at Greenhouse offers a unique opportunity to work on innovative AI solutions in a fully remote environment. With a competitive salary and a focus on collaboration, this role is ideal for experienced professionals looking to make an impact.

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

Who Will Succeed Here

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Proficient in building and deploying machine learning models using PyTorch and Transformers, with a track record of optimizing model performance for real-world applications.

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Self-motivated and disciplined to thrive in a fully remote work environment, demonstrating strong time management skills and the ability to collaborate effectively across distributed teams.

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Deep understanding of software engineering principles, including version control with Git and CI/CD practices, enabling seamless integration of machine learning solutions into production systems.

Learning Resources

→Deep Learning with PyTorch: A 60 Minute Blitzguide
→Machine Learning Specializationcourse
→Understanding Transformers: A Comprehensive Guidearticle

Career Path

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

Market Overview

Market Size 2024
$117B
Annual Growth
38.8%
AI Adoption
65%
Investment
+120%
Labour Demand
+40%
Avg Salary
$150K

Skills & Requirements

Required
Machine LearningDeep LearningPyTorch
Growing in Demand
Natural Language Processing (NLP)Reinforcement LearningMLOps
Declining
Traditional Statistical AnalysisRule-Based Systems

Domain Trends

Increased Demand for Explainable AI
With AI adoption at 65%, companies are prioritizing explainable AI frameworks to ensure transparency and trust in machine learning models.
Rise of Automated Machine Learning (AutoML)
The AutoML market is expected to grow by 25% annually, simplifying model development and enabling non-experts to build ML solutions.
Integration of AI in Edge Computing
By 2025, 75% of enterprise-generated data will be processed outside traditional centralized data centers, driving demand for ML models that operate efficiently on edge devices.

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