AIML Software Engineer for ML Infra, Applebot Crawl & Knowledge Graph
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
13 days ago
Vacancies:
1 Vacancy
Job Summary
Apples Knowledge Platform team is looking for a talented result-oriented creative problem-solver System Engineer who can help manage and maintain large-scale data-driven systems to enable the growth of the Knowledge Platform. As a member of this team you will be responsible for deploying and monitoring micro-services and pushing the envelop of large scale retrieval augmented generation systems. You will work on building large scale Web data extraction pipelines and you will also be responsible for managing and deploying self-serve features allowing teams across Apple to use Knowledge Infrastructure. You will be working with bleeding-edge ML technologies to train deploy and test large scale models that solve a number of problems at the intersection of data pipelines and natural language processing.
- Bachelors or Masters degree in Computer Science or equivalent work experience.
- Background in computer science: algorithms data structures and distributed systems
- Experience working in a cloud-native environment such as AWS
- Experience working with large-scale data processing pipelines (Spark Cassandra etc.)
- Experience with micro-service architecture in a containerized environment (Docker Kubernetes etc.)
- Experience with observability tools for monitoring applications (Prometheus DataDog etc.)
- Experience with training and fine-tuning large language models is a plus
- Experience with Scala and Go is a plus
- Excellent interpersonal skills able to work independently as well as in a team
Key Skills
- Graph Databases
- Data Analytics
- AI
- Ontology
- OWL
- RDF
- SPARQL
- Natural Language Processing
- Neo4j
- Knowledge Management
- Taxonomy
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
