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Software Engineer III

TalentBurst, Inc.
locationCupertino, CA, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

Job DescriptionTitle: Software Engineer III
Hybrid onsite Tues-Thurs, remote Mon/Fri's Possibility to extension

AIML - Sr Backend Software Engineering, Data and ML Innovation

Summary
Do you want to play a part in the next revolution in Foundation Models? Contribute to model hillclimbing for client's Intelligence features that leverage client's Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done — just by asking or typing!
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. As a Sr Software Engineering on the team, you will drive backend innovations, identify key opportunity areas where data can play a crucial role and experiment with various data augmentation strategies to improve model training efficiency and performance..

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 Apple Intelligence features, that are
available on iPhone, iPad, HomePod, Mac, Watch, CarPlay , and tv across more than 30 languages!

As a Sr Backend Software engineer, you will be responsible for the following areas.
Training data pipeline development. Convert raw data into format acceptable by training jobs on GCP and AWS.
Leverage internal and open-sourced training modules.
Large scale inferences: Leverage internal and open-sourced inference stack to generate inferences with fine-tuned LLMs on massive amounts of data, for pre-train and post-training Data processing and data filtering: Have the ability to efficiently process and filter very large amounts of data, often times messy.
Scalable web services backend and APIs to support data access and data inspection tools

Minimum Qualifications
BS in Computer Science or Equivalent
10 years of programming experience in Python. Extensive experiences in concurrency and parallelism, functional programming, decorators. Familiarity in other programming languages (Java/GoLang/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). Familiarity with a variety of build tools (Jenkins, Maven, Docker, Gradle)
Experience providing architecture and design guidance
A good communicator with clear and concise, active listening and empathy skills.
Are self-motivated and curious. Strive to continually learn on the job.
Have demonstrated creative and critical thinking with an innate drive to improve how things work. Have a high tolerance for ambiguity

#TB_EN
#ZR

#SDE1Company DescriptionFounded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website www.talentburst.com or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CA

Company Description

Founded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website www.talentburst.com or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CA

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