Talantix.io
Feedzai•02.03.26
AI SCORE 8.5

Systems Research Engineer - Data and ML Infrastructure (Remote)

$90K–$130K/year
RemoteAI/Big Data
Java•Python•Machine Learning•Data Processing•Distributed Systems•Apache Spark•Apache Kafka•EMR•Airflow

About the Role

We are seeking a talented Systems Research Engineer - Data and ML Infrastructure to join our innovative team at Feedzai. This remote position allows you to work from anywhere while contributing to cutting-edge technology that safeguards global commerce. As a Systems Research Engineer, you will be at the forefront of developing and implementing advanced machine learning and data processing systems.

What You'll Do

  • Execute the full software development life cycle, writing well-designed and testable code.
  • Develop state-of-the-art research work on topics including Data Processing, Machine Learning, and Graphs.
  • Communicate findings and results to internal and external stakeholders, including writing scientific papers and patents.
  • Design and develop new Cloud Native services, focusing on Data and ML Infrastructure.
  • Collaborate with Product and Data Science teams to build distributed systems that support high-load operations.

Requirements

  • BSc/MSc degree in Computer Science or a similar technical degree.
  • 4+ years of experience in developing backend services.
  • Good understanding of distributed systems, multi-threading, and object-oriented design principles.
  • Strong programming skills, preferably in Java (or any JVM language) and Python.
  • Ability to digest and implement state-of-the-art research and transform it into product requirements.

Nice to Have

  • Knowledge of Big Data technologies such as Spark, Kafka, and EMR/Dataflow.
  • Familiarity with workflow orchestration tools such as Airflow or Flyte.

What We Offer

  • Competitive salary range of $90,000 - $130,000.
  • Flexible remote work environment.
  • Access to continuous learning and professional development opportunities.
  • Collaborative and inclusive team culture.
  • Opportunity to work on innovative projects that make a real impact.
Why This Job8.5 of 10

This role offers a unique opportunity to work on cutting-edge technology in a collaborative remote environment. Feedzai is a leader in AI-driven risk management.

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

Who Will Succeed Here

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Proficiency in Java and Python with a proven ability to implement scalable machine learning algorithms in a distributed system environment, leveraging frameworks like Apache Spark and tools such as Apache Kafka.

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Strong problem-solving mindset and autonomy to tackle complex data processing challenges in a remote work setup, demonstrating self-motivation and adaptability to changing project requirements.

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Experience with cloud-based data infrastructures such as AWS EMR and orchestration tools like Airflow, coupled with a proactive approach to optimizing data workflows and enhancing system performance.

Learning Resources

→Java Programming and Software Engineering Fundamentalscourse
→Apache Spark Documentationguide
→Introduction to Machine Learning with Pythonarticle

Career Path

Systems Research Engineer - Data and ML Infrastructure(Now)→Lead Systems Engineer - Data Infrastructure(1-2 years)→Data Science Manager(3-5 years)

Market Overview

Java Market Size 2024
$10.5B
Annual Growth
8.5%
AI Adoption in Java Applications
45%
Investment in Java Development Tools
+35%
Labour Demand for Java Developers
+20%
Avg Salary for Systems Research Engineers
$120K

Skills & Requirements

Required
JavaPythonMachine Learning
Growing in Demand
KotlinSpring BootMicroservices Architecture
Declining
jQueryJava EE (Enterprise Edition)

Domain Trends

Rise of Serverless Architectures
By 2025, 30% of enterprises will adopt serverless architectures for Java applications, reducing operational costs by up to 20%.
Increased Use of AI in Data Processing
70% of organizations are integrating AI tools within their Java-based data processing frameworks, enhancing performance and scalability.
Shift Towards Cloud-Native Development
Cloud-native Java applications are projected to grow by 40% annually, as companies shift to containerized environments like Kubernetes.

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