Sr Backend Software Engineering (AIML, Data and ML Innovation)Spectraforce Technologies • United States
Sr Backend Software Engineering (AIML, Data and ML Innovation)
Spectraforce Technologies
- United States
- United States
About
Location: Cupertino, CA (Hybrid, TWT) Duration: 3 + Months Summary
The vision for the AI/ML FM Data organization is to improve Foundation Models by leveraging data from a variety of sources: crawl, license, vendor and internal crowd‑sourcing. Description
We are looking for people with a track record in building scalable pipelines and services. Join us, and impact hundreds of millions of customers across billions of their interactions with foundation model‑powered Intelligence features, that are available on iPhone, iPad, HomePod, Mac, Watch, CarPlay, and TV across more than 30 languages! Responsibilities
Training data pipeline development. Convert raw data into a format acceptable by training jobs on GCP and AWS. Leverage internal and open‑source training modules. Large‑scale inferences: Leverage internal and open‑source inference stack to generate inferences with fine‑tuned LLMs on massive amounts of data, for pre‑train and post‑training. Data processing and filtering: Efficiently process and filter very large amounts of often messy data. Build scalable web‑services backend and APIs to support data access and inspection tools. Minimum Qualifications
BS in Computer Science or Equivalent. 10+ years of programming experience in Python with extensive experience in concurrency and parallelism, functional programming, and decorators. Familiarity with other programming languages (Java, Go, Rust, Swift). Proficient in REST API, Redis, VectorDB or other large‑scale data storage systems. Solid foundational programming skills (algorithms, data structures, OOP, etc.). Experience designing, writing, reviewing, testing, and delivering software for applications and systems at scale.
Preferred Qualifications
Familiarity with streaming‑processing (Kafka) and a variety of build tools (Jenkins, Maven, Docker, Gradle). Experience providing architecture and design guidance. Strong communication skills with clear, concise, active listening, and empathy. Self‑motivated and curious; committed to continual learning on the job. Demonstrated creative and critical thinking with an innate drive to improve processes and a high tolerance for ambiguity.
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Languages
- English
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