716 jobs for "Software Engineer, Infrastructure Services"

Software Engineer (AML), AI & Data Platforms (AiDP)

At Apple - Austin

Posted on Oct 19

View job Apply on company site

Senior Systems Integration and Test Engineer

At Leidos - Ashburn

Posted on Oct 10

View job Apply on company site

Senior Systems Integration and Test Engineer

At Leidos - Gaithersburg

Posted on Oct 10

View job Apply on company site

Senior Software Engineer, Middleware - Special Projects

At Apple - Cupertino

Posted on Oct 9

View job Apply on company site

Platform Engineer

At Cargill - Bengaluru

Posted on Oct 9

View job Apply on company site

Site Reliability Engineer

At Apple

Posted on Oct 17

View job Apply on company site

Site Reliability Engineer

At Apple

Posted on Oct 15

View job Apply on company site

Site Reliability Engineer - Compute Platform

At TikTok - Seattle

Posted on Mar 28

View job Apply on company site

Site Reliability Engineer, Compute Platform

At TikTok - San Jose

Posted on Nov 21

View job Apply on company site

UX Software Engineer - Special Projects

At Apple - Santa Clara

Posted on Oct 16

View job Apply on company site

Software Engineer II

At TD Bank - Belfast

Posted on Oct 28

View job Apply on company site

Software Engineer II

At TD Bank - Belfast

Posted on Oct 28

View job Apply on company site

Senior Software Engineer

At Apple - London

Posted on Oct 19

View job Apply on company site

Sr Software Engineer, Apple Cloud Networking

At Apple - Sunnyvale

Posted on Oct 19

View job Apply on company site

Software Engineer - ETL Platform, IS&T Ai & Data Platforms

At Apple

Posted on Oct 17

View job Apply on company site

Senior Software Engineer (Technical Architect) - Wallet Platforms

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Senior Software Engineer (Technical Architect) - Wallet Platforms

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Senior Software Engineer, Control/Data Plane

At Apple - Sunnyvale

Posted on Oct 17

View job Apply on company site

Core Audio System Software Engineer

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Senior Software Engineer, Apple Ads

At Apple - Austin

Posted on Oct 16

View job Apply on company site

Apple

Software Engineer (AML), AI & Data Platforms (AiDP)

Austin, TXPosted 19 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It's Apple's central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description

As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple's products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.

Preferred Qualifications

Experience in Anomaly detection and forecasting & related methodologies

Experience and proficiency in python & writing efficient SQLs.

Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.

Proven experience with transformer models such as BERT, GPT etc., and a proven understanding of their underlying principles is a plus

Data Visualization Tools: Proficient in data visualization, with experience in software such as Superset, Streamlit, Tableau, Business Objects, and Looker

Minimum Qualifications

BS in Computer Science or related field or equivalent.

3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management.

Experience developing AI/ML systems at scale in production or in high-impact research environments.

Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems.

Knowledge with the common frameworks and tools such as PyTorch or TensorFlow.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile