Staff Software Engineer, ML Search

3 months ago

Remote, United States

Staff+

H1B Sponsor

Base Salary

$23k - $322k/yr

Responsibilities

Own pipelines and DAGs that move data, features, embeddings, and models through the ML lifecycle.
Design and maintain ranking and retrieval services that run models in real-time.
Build scalable model-serving APIs, ensuring reliability, efficiency, and performance.
Create reusable infrastructure that other MLEs depend on to train, deploy, and iterate on models.
Ensure pipelines and systems support high scale, low latency, and operational excellence.
Enable modeling with better systems, features, and deployment pathways.

8+ years of industry experience with a focus on search and recommendation systems.
6+ years of experience in designing, building, and iterating large-scale search relevance and infrastructure systems.
Proven track record in delivering large and complex systems with significant business impacts.
Knowledge and experience working with search systems like Lucene, Solr, ElasticSearch, or Opensearch.
Demonstrated expertise in cross-functional collaboration on large-scale projects.
Proficient in object-oriented programming languages such as Python or Golang.
Experience in API design and integration with GraphQL, REST, HTTP, Thrift, or gRPC.
Experience developing applications using a large-scale data stack, including Kubeflow, Airflow, BigQuery, Kafka, Kubernetes, or Redis.

Apache AirflowApache KafkaElasticsearchGoGoogle BigQueryGraphQLgRPCKubernetesPythonRedis