Easter Seals Jobs

Software Engineer, IS&T Ai & Data Platforms

Austin,Texas,United States

Corporate Functions

Come join the Applied Machine Learning team (AML)to do your best work on exciting and groundbreaking projects that will surprise and delight our users. Apple’s AML team is looking for a talented and enthusiastic Software Engineer to join the team building AI and ML models and applications serving an inference platform. To support Apple scale we work with tens of terabytes of data and thousands of concurrent requests. In this role, you will get exposure to the intersection of software engineering, ML and AI, MLOps, and cloud-native development.

Description

You will apply all of your knowledge, experience, talent, and creativity to help us build the next generation of our platform enabling a new wave of AI and ML-powered applications across hundreds of teams and thousands of models. You will drive, design, and implement new features making sure the platform can satisfy the ever-growing demand for AI models serving and stay on top of the faster-than-ever ML space developments and incorporate those into the platform. You will work closely with ML engineers and data scientists to make sure they can utilize the platform as efficiently as possible and get all the features they need, infrastructure and DevOps engineers making sure the platform can scale and reliably serve every customer, and many teams at Apple using the platform to instrument and incorporate ML and AI into the core of their products. Additionally, you will help shape the future and the roadmap of our platform, drive strong engineering excellence and culture, and see the effect of your work on Apple customers.

Minimum Qualifications

• Bachelor’s Degree

• Industry experiecne with Java (or Scala) and Python

• Hands-on experience with multiple relational, NoSQL, graph, vector databases, file systems, or other data sources (e.g. Mongo, Cassandra, Kafka, Solr, etc)

Key Qualifications

Preferred Qualifications

• Master’s Degree in Computer Science, Math, Physics, Engineering, or a related field.

• Experience building high-scale and availability back-end services

• Expertise in Java and Python

• Experience developing platforms, multi-tenant systems, frameworks, libraries or SDKs

• Understanding and experience with development lifecycle, CI/CD pipelines, different types of automation testing, logging, monitoring and alerting, and production debugging

• Strong collaboration skills, system thinking, and ability to clearly explain complex concepts

Education & Experience

Additional Requirements

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

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Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .