Senior Software Engineer (Graph Machine Learning Engineer)

Role & responsibilities

• Serve as a thought leader and forward thinkerdriving innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation
• Lead the full software development lifecycle (design, testing, deployment, and operations), guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation
• Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks
• Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale

Requirements

Degree in Computer Science, Mathematics, or a related field

• 8+ years of full SDLC experience (design, coding, reviews, testing, deployment, operations)
• 5+ years of experience building and deploying end-to-end ML solutions or platforms in production
• Hands-on experience developing Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production
• Experience with large-scale distributed systems on cloud platforms (AWS, Azure, GCP)
• Strong ability to solve complex, ambiguous problems

Preferred Qualifications

• MS/PhD in Computer Science, Machine Learning, or a related discipline
• Experience with Graph ML and Graph technologies (e.g., GNNs, GraphRAG)
• Experience with distributed Big Data technologies (e.g., Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue)