Talantix.io
Coinbase•01.03.26
AI SCORE 8.5

Staff Machine Learning Engineer - Remote Position at Coinbase

$218K–$257K/year
RemoteCrypto/Web3
Machine Learning•Python•Java•TensorFlow•PyTorch•Cloud Computing

About the Role

Coinbase is hiring a full-time Staff Machine Learning Engineer to join our innovative team. This Staff Machine Learning Engineer remote position focuses on platform development and core automation, allowing you to work from anywhere in the United States. As a leader in the crypto space, Coinbase is committed to building a more open financial system for the world.

What You'll Do

  • Design and implement machine learning models to enhance platform automation.
  • Collaborate with cross-functional teams to define and refine product requirements.
  • Optimize existing algorithms and develop new ones to improve performance.
  • Mentor junior engineers and contribute to the team’s growth and knowledge sharing.
  • Stay updated with the latest advancements in machine learning and AI technologies.

Requirements

  • 5+ years of experience in machine learning engineering or related fields.
  • Strong proficiency in programming languages such as Python and Java.
  • Experience with machine learning frameworks like TensorFlow or PyTorch.
  • Solid understanding of algorithms, data structures, and software design principles.
  • Ability to work independently and manage multiple projects simultaneously.

Nice to Have

  • Experience in the cryptocurrency or fintech industry.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Knowledge of data engineering and ETL processes.

What We Offer

  • Competitive salary ranging from $218,025 to $256,500.
  • Flexible remote work environment.
  • Health, dental, and vision insurance.
  • Generous paid time off and holidays.
  • Opportunities for professional development and learning.
Why This Job8.5 of 10

This Staff Machine Learning Engineer role at Coinbase offers a competitive salary and the chance to work on innovative automation projects in the crypto industry.

Salary Range
Required
0/1
Optional
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Bonus
0/1

Who Will Succeed Here

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Proficient in deploying machine learning models using TensorFlow and PyTorch, with hands-on experience in cloud computing platforms like AWS or Google Cloud for scalability and performance optimization.

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Demonstrates a self-motivated and proactive work ethic suitable for remote work, effectively managing time and collaborating with cross-functional teams across different time zones.

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Possesses a strategic mindset with 5+ years of experience in machine learning and software development, able to lead complex projects from conception to deployment while mentoring junior engineers.

Learning Resources

→Machine Learning Crash Coursecourse
→Deep Learning with PyTorch: A 60 Minute Blitzguide
→TensorFlow Documentationarticle

Career Path

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

Market Overview

Market Size 2024
$20.2B
Annual Growth
38.3%
AI Adoption
82%
Investment
+150%
Labour Demand
+45%
Avg Salary
$150K

Skills & Requirements

Required
Machine LearningPythonJava
Growing in Demand
Deep LearningNatural Language Processing (NLP)Cloud ML Services (AWS SageMaker, Google AI Platform)
Declining
R (for statistical analysis)Traditional Data Warehousing (e.g., Oracle DB)

Domain Trends

Increased Investment in AI Startups
In 2023, global investment in AI startups surged by 150%, indicating a robust demand for innovative ML solutions.
Shift to Cloud-based Machine Learning
By 2025, over 70% of enterprises are expected to leverage cloud-based ML platforms, leading to a significant rise in demand for skills in AWS, Azure, and Google Cloud.
Focus on Ethical AI and Bias Mitigation
Around 65% of organizations are prioritizing ethical AI practices in their ML models, emphasizing the importance of transparency and bias mitigation.

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