Talantix.io
JPMorgan Chase & Co•25.02.26
AI SCORE 8.6

Lead Software Engineer - ML/​Blockchain

$180K–$220K/year
RemoteWeb3 | AI | Machine Learning | Financial Services
Machine Learning•Deep Learning•TensorFlow•PyTorch•ETL•Data Processing•Blockchain•Cloud Computing

About the Role

Join JPMorgan Chase as a Lead Software Engineer - ML/Blockchain and be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. In this role, you will leverage your deep technical expertise and problem-solving skills to address complex challenges across multiple technologies and applications, driving significant business impact through your contributions. This position offers a unique opportunity to work on cutting-edge technologies in the financial sector, focusing on machine learning and blockchain solutions.

What You'll Do

  • Research, develop, and productionize high-performance machine learning and quantitative models.
  • Collaborate with product and business teams to deliver impactful software solutions.
  • Design and implement scalable data processing pipelines to optimize business results.
  • Utilize your knowledge of machine learning frameworks like TensorFlow and PyTorch to enhance product capabilities.
  • Drive innovation by integrating blockchain technology into existing systems.

Requirements

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Deep knowledge in Machine Learning, Deep Learning, and related fields.
  • Experience with major machine learning frameworks such as TensorFlow and PyTorch.
  • Skilled in ETL pipelines and real-time data processing.
  • Strong analytical and critical thinking skills.
  • Self-motivated, with excellent communication and teamwork abilities.

Nice to Have

  • Experience with computational graphs and JIT compilation.
  • Knowledge of hardware accelerators, GPUs, and profiling tools.
  • Familiarity with cloud computing platforms (Google Cloud, AWS, Azure).
  • Experience in distributed system design and development.
  • Background in derivatives modeling or portfolio management.

What We Offer

  • Competitive salary range of $180,000 - $220,000 annually.
  • Comprehensive health benefits and wellness programs.
  • Flexible remote work options to promote work-life balance.
  • Opportunities for professional development and continuous learning.
  • Innovative work environment with cutting-edge technology.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.6 of 10

This Lead Software Engineer position at JPMorgan Chase offers a unique opportunity to work on innovative ML and blockchain projects within a leading financial institution. Enjoy competitive compensation and flexible remote work options.

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

Who Will Succeed Here

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Expert in machine learning frameworks such as TensorFlow and PyTorch, with a proven track record of developing and deploying ML models in production environments.

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Strong understanding of blockchain technology and its applications in finance, coupled with hands-on experience in implementing decentralized systems and smart contracts.

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Ability to lead remote teams effectively, demonstrating self-motivation and excellent organizational skills to manage complex projects across multiple time zones.

Learning Resources

→Deep Learning Specializationcourse
→Machine Learning with TensorFlow on Google Cloudcourse
→Blockchain Basics: A Non-Technical Introduction in 25 Stepscourse

Career Path

Lead Software Engineer - ML/Blockchain(Now)→Engineering Manager - AI/Blockchain(1-2 years)→Director of Technology - Innovation and Strategy(3-5 years)

Market Overview

Machine Learning Market Size 2024
$21.17B
Annual Growth (2024-2025)
38.6%
AI Adoption in Enterprises
75%
Investment in AI Startups
+150%
Labour Demand for ML Engineers
+40%
Avg Salary for Lead ML Engineers
$150K

Skills & Requirements

Required
Machine LearningDeep LearningTensorFlow
Growing in Demand
Natural Language ProcessingReinforcement LearningCloud ML Services (AWS SageMaker, Azure ML)
Declining
Traditional Statistical Analysis (e.g., SPSS)R Programming (for ML applications)

Domain Trends

Integration of Blockchain with AI
The combination of AI and blockchain is expected to grow by 30% in the next two years, as companies seek to enhance data security and integrity in ML applications.
Shift Towards Edge Computing for ML
By 2025, 75% of data processing will occur at the edge, leading to a 50% increase in demand for ML models optimized for edge devices.
Increased Focus on Ethical AI
Around 60% of organizations are prioritizing ethical AI practices, driving a demand for ML engineers who can implement fairness and transparency in algorithms.

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