AIML - Software Development Engineer, MLPT
Job Description
Summary
Do you want to shape the platform that enables the next generation of intelligent experiences on Apple products and services? Do you want to shape the next generation of ML developer experience?
In Apple’s Machine Learning Platform Technology & Infra team we have built the platform that Apple uses for developing LLM, vision and other machine learning applications. As a software engineer on our team, you will be responsible for designing & building services and functionalities for the model training software systems that are part of this platform!
Our platform is built using a variety of systems and services, from databases, to web services, to search engines, data- lakes and graph engines hosted on the cloud. We use existing systems when possible, but do not shy away from rolling components ourselves. As a team, we have a variety of technical backgrounds, from machine learning engineers to builders of large-scale production systems. We exemplify a team of inclusive, hard-working, pragmatic, proficient, product-focused engineers.
Come join us!
In Apple’s Machine Learning Platform Technology & Infra team we have built the platform that Apple uses for developing LLM, vision and other machine learning applications. As a software engineer on our team, you will be responsible for designing & building services and functionalities for the model training software systems that are part of this platform!
Our platform is built using a variety of systems and services, from databases, to web services, to search engines, data- lakes and graph engines hosted on the cloud. We use existing systems when possible, but do not shy away from rolling components ourselves. As a team, we have a variety of technical backgrounds, from machine learning engineers to builders of large-scale production systems. We exemplify a team of inclusive, hard-working, pragmatic, proficient, product-focused engineers.
Come join us!
Key Qualifications
- Experience with delivering user experiences in the form of Web Services built using Java and SpringBoot
- Experience with developing and deploying on a Kubernetes based infrastructure is required
- Experience running reliable production services with focus on observability and monitoring
- A passion for data engineering, search and information retrieval
Description
As a software engineer on the Training Platform team, you have the following responsibilities:
- Contribute to the architecture, design, development, and operations of large-scale systems designed for machine learning. These may include, but not limited to: data management systems, data engineering workflow systems, distributed compute systems, and their web portal & web service components.
- Partner with data scientists and machine learning engineers across different Apple organizations to define high impact product features and deliver them with quality.
- You will help build the platform upon which other teams will develop data pipelines and machine learning applications.
- Collaborate with a group of engineers to deliver high quality products/services.
- Be able to learn and stay on top of current technologies and apply them in the job.
Contribute to the services (ML Training & Eval Metrics, Lineage, Query & Search) that power the - ML lifecycle at Apple.
- Contribute to the architecture, design, development, and operations of large-scale systems designed for machine learning. These may include, but not limited to: data management systems, data engineering workflow systems, distributed compute systems, and their web portal & web service components.
- Partner with data scientists and machine learning engineers across different Apple organizations to define high impact product features and deliver them with quality.
- You will help build the platform upon which other teams will develop data pipelines and machine learning applications.
- Collaborate with a group of engineers to deliver high quality products/services.
- Be able to learn and stay on top of current technologies and apply them in the job.
Contribute to the services (ML Training & Eval Metrics, Lineage, Query & Search) that power the - ML lifecycle at Apple.
Education & Experience
Bachelors, Masters or a PhD in Computer Science, or equivalent industry work experience
Additional Requirements
- Experience with BigData ecosystem Spark, Flink or equivalent is desired
- Experience with Solr, Lucene or OpenSearch is desired
- Experience with delivering analytics backend services is a huge plus, where exposure to query engines like Trino or equivalent is desired
Pay & Benefits
Apply Now
Please mention to the employer that you saw this ad on Sciencejobs.org
- Share this job:
- [Save this Job]
