Software Engineer II - Recommendations

What you'll do

• Develop reliable backend services and large-scale data pipelines; help productionize recommendation models and build the recommendation vector database.
• Instrument and evaluate recommendation systems using observability, metrics, and A/B testing; own service operations and incident follow-ups.
• Collaborate with product and ML teams on project delivery, and integrate AI tools into development workflows.

What they ask for

• 2+ years of professional software engineering experience focused on backend and distributed systems at scale.
• Proficiency in Python; openness to working in other languages.
• Experience with data-driven decision making and A/B testing.
• Experience designing and querying relational, analytical, and NoSQL data models; comfort with cloud-native architectures, container orchestration, and DevOps practices.

Nice to have

• Experience with recommendation, ranking, personalization, search, or ML-powered products.
• Experience with Apache Spark or similar big-data frameworks, ML systems, or distributed compute frameworks such as Ray.

Pay

$116,000 — $174,000 USD (base salary)

Tools

Python, AWS, Kubernetes, Postgres, MySQL, Redis, Apache Spark, Ray

AI focus

Develop and operate machine-learning recommendation systems, productionize models, contribute to vector-database and agentic use cases, and use AI tools to accelerate development, testing, monitoring, and debugging.