TL;DR
Systems Research Engineer (AI): Developing state-of-the-art research work on topics including Data Processing, Machine Learning, Graphs. Focus on design and development of new Cloud Native services, with particular focus on Data and ML Infrastructure.
Location: Remote
Company
hirify.global is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence.
What you will do
- Be hands-on, executing the full software development life cycle and writing well-designed and testable code
- Develop state-of-the-art research work on topics including Data Processing, Machine Learning, Graphs, etc
- Communicate findings and results to internal and external stakeholders, including writing scientific papers and patents
- Design and develop new Cloud Native services, with particular focus on Data and ML Infrastructure
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 OO design principles
- Strong programming skills, preferable in Java (or any JVM language) and Python
- Ability and interest to digest and implement state-of-art research
- Ability to communicate your findings in a clear way, transforming innovation research onto product requirements
Nice to have
- Preferable knowledge of Big Data technologies such as Spark, Kafka and EMR/Dataflow
- Preferable knowledge of workflow orchestration tools such as Airflow or Flyte
Culture & Benefits
- Engineers team and managed by engineers, at hirify.global you will find one of the most talented teams and a safe, open, and collaborative environment.
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