Talantix.io
Signifyd•01.03.26
AI SCORE 8.5

Senior Machine Learning Engineer - Remote Position

$140K–$190K/year
RemoteAI/Big Data
Python•Machine Learning•TensorFlow•PyTorch•AWS•Statistical Analysis

About the Role

Signifyd is hiring a full-time Senior Machine Learning Engineer to join our innovative team. This Senior Machine Learning Engineer remote position allows you to work from anywhere in the USA, contributing to cutting-edge projects that leverage machine learning to enhance fraud prevention and customer experience.

What You'll Do

  • Design and implement machine learning models to improve fraud detection systems.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
  • Analyze large datasets to extract insights and improve model accuracy.
  • Conduct experiments to validate model performance and iterate based on findings.
  • Mentor junior engineers and contribute to team knowledge sharing.

Requirements

  • 5+ years of experience in machine learning or related fields.
  • Proficiency in Python and experience with machine learning libraries such as TensorFlow or PyTorch.
  • Strong understanding of statistical analysis and data modeling techniques.
  • Experience with cloud platforms like AWS or Google Cloud.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.

Nice to Have

  • Experience with big data technologies such as Spark or Hadoop.
  • Familiarity with data visualization tools like Tableau or Power BI.
  • Knowledge of natural language processing (NLP) techniques.

What We Offer

  • Competitive salary range of $140,000 - $190,000 annually.
  • Fully remote work environment with flexible hours.
  • Comprehensive health benefits and wellness programs.
  • Opportunities for professional development and continuous learning.
  • Collaborative and inclusive company culture.
Why This Job8.5 of 10

This Senior Machine Learning Engineer role at Signifyd offers a competitive salary and the opportunity to work on innovative projects in a fully remote environment.

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

Who Will Succeed Here

→

Proficient in deploying machine learning models using TensorFlow and PyTorch, with a strong understanding of their underlying algorithms and architectures to effectively enhance fraud detection systems.

→

Self-motivated and disciplined individual who excels in a fully remote environment, able to manage time effectively while collaborating with a diverse team across various time zones.

→

Deep analytical mindset with extensive experience in statistical analysis and AWS cloud services, enabling the engineer to optimize machine learning workflows and manage large datasets efficiently.

Learning Resources

→Python for Data Science and Machine Learning Bootcampcourse
→Machine Learning Crash Courseguide
→AWS Machine Learning Documentationarticle

Career Path

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

Market Overview

Market Size 2024
$15B
Annual Growth
22.4%
AI Adoption
62%
Investment
+45%
Labour Demand
+30%
Avg Salary
$145K

Skills & Requirements

Required
PythonMachine LearningTensorFlow
Growing in Demand
Deep LearningNatural Language Processing (NLP)Data Engineering
Declining
R ProgrammingMatlab

Domain Trends

Increased Focus on Ethical AI
With 70% of companies prioritizing ethical AI practices, there is a growing demand for ML engineers who can implement fairness and transparency in AI models.
Rise of Edge Computing in ML
Edge computing is expected to grow by 35% in the next two years, requiring ML engineers to adapt models for edge devices, enhancing real-time data processing capabilities.
Integration of Automated Machine Learning (AutoML)
The AutoML market is projected to grow by 25% annually, pushing ML engineers to leverage these tools for faster model development and deployment.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.