Scala Engineer

Summary

SME Careers is a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies. As a Scala Engineer, you will work remotely to review AI-generated Scala code and produce high-quality reference implementations while assessing solutions for correctness and performance.

Responsibilities

• Develop AI Training Content: Create detailed prompts across Scala/JVM topics and write high-quality reference answers to guide AI learning
• Optimize AI Performance: Evaluate and rank AI responses to improve correctness, safety, performance, and contextual relevance
• Ensure Model Integrity: Test AI outputs for inaccuracies, unsafe patterns, and bias; validate reliability across real-world use cases

Skills

• Bachelor's degree or higher in Computer Science, Software Engineering, or a closely related technical field (or equivalent practical experience)
• 4+ years of professional experience building production systems using Scala (backend services, data platforms, or distributed systems)
• Expert-level proficiency in Scala 2.13+ and/or Scala 3, including strong understanding of the type system, implicits/givens, collections, and functional patterns
• Strong JVM fundamentals: memory model, garbage collection, profiling, performance tuning, and troubleshooting production issues
• Deep experience with concurrency and effect systems (e.g., cats-effect, ZIO) and/or actor-based systems (Akka/Pekko)
• Experience designing and operating services in distributed environments: microservices, messaging/streaming, retries, idempotency, backpressure, consistency tradeoffs
• Strong testing practices (ScalaTest, MUnit, property-based testing like ScalaCheck) and comfort with CI/CD workflows
• Comfortable with build tooling and dependency management (sbt, Maven/Gradle interop), and version control best practices
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines
• Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in Scala/JVM systems
• Prior experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus

Qualifications

Must Haves

• Bachelor's degree or higher in Computer Science, Software Engineering, or a closely related technical field (or equivalent practical experience)
• 4+ years of professional experience building production systems using Scala (backend services, data platforms, or distributed systems)
• Expert-level proficiency in Scala 2.13+ and/or Scala 3, including strong understanding of the type system, implicits/givens, collections, and functional patterns
• Strong JVM fundamentals: memory model, garbage collection, profiling, performance tuning, and troubleshooting production issues
• Deep experience with concurrency and effect systems (e.g., cats-effect, ZIO) and/or actor-based systems (Akka/Pekko)
• Experience designing and operating services in distributed environments: microservices, messaging/streaming, retries, idempotency, backpressure, consistency tradeoffs
• Strong testing practices (ScalaTest, MUnit, property-based testing like ScalaCheck) and comfort with CI/CD workflows
• Comfortable with build tooling and dependency management (sbt, Maven/Gradle interop), and version control best practices
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines
• Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in Scala/JVM systems

Nice to Haves

• Prior experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus

Benefits

• This will also provide you with access to future projects available through our expert network.