AIML - Software Engineer (Search), MLPT

Key Skills

Aartificial intelligence, AWS, C++, Google Cloud Platform (GCP), JavaScript, Kubernetes-K8s, logo, Machine learning techniques, MapReduce, Python Programming, Rust, Scala Programming

Job Description

In this role working on search you will work at the intersection between quality and performance, optimizing the high performance components that serve our indexes for large amounts of traffic, working on retrieval infrastructure to improve relevance for users inside the constraints that come with a high throughput index serving infrastructure, designing and implementing retrieval augmented generation that is fed by our search systems.

The typical tasks encompass:

• Designing features and systems that enable to perform retrieval on large token and embeddings-based indexes
• Optimizing throughput of the queries, analyzing how to let ranking engineers improve the relevance within the latency and budget envelope
• Streamlining onboarding and experimentation experience to our search systems to empower other teams to more efficiently use our components and iterate faster on their relevance improvements
• Improving data structures and algorithms to reduce the cost of serving large indexes

Minimum Qualifications

• Experience with at least one of the following programming languages: Go, Java, Python, Scala, C/C++, or Rust.
• Strong background in computer science, particularly in algorithms and data structures.
• Exceptional interpersonal skills, with the ability to work independently and collaboratively within a team.
• Familiarity with microservices, multithreading, or related technologies is a plus.

Preferred Qualifications

• Experience with information retrieval and machine learning applied to search.
• Exposure to the challenges of scalable backend infrastructure and performance, including diagnosing, analyzing, and resolving issues using profiling, debugging, and tracing tools.
• Proficiency with distributed computing platforms and technologies, such as AWS, GCP, Kubernetes, MapReduce, or similar.
• Experience designing and implementing large-scale data pipelines, with a Bachelor's or Master’s degree in Computer Science/Engineering or equivalent experience.