Software Engineer (1-2 years' experience, Python / Go, ML Engineering)

Qualifications

• Basic Qualifications:
• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
• 1-2 years of professional Software Engineering or ML Engineering experience
• Experience in writing, modifying, and reviewing code for commercial or end user applications.
• Experience in debugging and performing root cause analysis on system and ML issues.
• Experience in developing unit, integration, and end-to-end tests.
• Experience in integrating systems via APIs, messaging queues, and databases.
• Experience in applying secure coding practices and complying with regulatory standards.
• Working knowledge of core ML concepts: supervised learning, train/validation/test discipline, overfitting, class imbalance, and the difference between accuracy and a metric that actually matters
• Practical experience with at least one ML framework — scikit-learn, XGBoost, PyTorch, or TensorFlow
• Demonstrated hands-on use of LLM-based or agentic tools in real work, and the ability to explain concretely how you used them, what they got wrong, and how you verified the result
• Familiarity with SSDLC, Git and a normal code review workflow
• Experience in developing and maintaining data pipelines and large-scale data processing jobs.
• Experience building an agentic or LLM-powered application — tool calling, retrieval, multi-step orchestration, or an MCP-style integration
• Experience evaluating non-deterministic systems: writing evals, building regression suites for prompts or agents, or measuring agent task success
• Regular use of an agentic coding environment such as Claude Code, and a considered opinion on where it accelerates work and where it should not be trusted