Software Engineer, AIML Data Operations

Key Skills

Aartificial intelligence, Amazon Athena, Amazon RedShift, Amazon Simple Storage Service (S3), API, AWS, Database, Effective communication skills, Lambda, Machine learning techniques, Python Programming, SQL, Unix Operating system

Job Description

Key Qualifications

• 5+ years in software development in an object oriented language ecosystem preferably python
• Proficiency with SQL, relational databases, & non-relational databases
• Basic knowledge of full stack product architecture with an emphasis on API and persistence layers
• Solid grasp in computer science fundamentals including data structures
• Proficient with software support tools including the UNIX command line, shell scripting, and version control
• Experience with core AWS services including S3, Lambda, Athena, Redshift
• Strong problem solving, analytical, & technical communication skills
• Experience with or willingness to learn UI frameworks is nice to have

Description

We are a diverse team handling critical machine learning annotation data across multiple platforms that are essential to the success of ML at Apple. We are seeking a Software Engineer to help define and implement scalable operational processes that ensure high quality annotations at a high throughput across annotation platforms. This requires understanding the annotation platforms’ design to debug issues related to data movement and extend the platforms to support new annotation UIs, sampling techniques, scoring algorithms, etc. Automate everything mentality is valuable here. We are looking for someone who is excited to learn and utilize new technologies to solve increasingly challenging problems. RESPONSIBILITIES INCLUDE: - Automate data processing and extraction - Automate the metrics generation - Use and create REST APIs to streamline interactions with other tools and services - Scale automated processes using distributed queues, stream processing, or lambda - Extend the annotation platforms by developing solutions to measure annotation quality including scoring, sampling, anomaly detection techniques

Education & Experience

B.S. in Computer Science, Computer Engineering, or equivalent practical experience