AIML- Machine Learning Engineer, Machine Learning Platform & Infrastructure Job ID- 963 Job ID- 3196

MaziCTools; United States; Remote; USD 167,000 - 296,000; Full time

Benefits offered by this job

Stock options

Medical & dental coverage

Relocation assistance

Job summary

Apple is building a world-class search infrastructure to empower Spotlight, Siri, and Foundation models. This role focuses on scalable, high-performance systems that process petabytes of data and trillions of rows, delivering features from conception to production.

You will work with ambitious teams to solve hard problems and ship reliable software. You will join the AIML Machine Learning Engineer team focused on Platform & Infrastructure.

Qualifications

• Strong coding skills in any programming language.
• Strong problem solving skills and ability to write performant and high quality clean code.
• Quick learner who can pickup new technology stacks and deliver features.
• Experience solving Big Data problems and scalable pipelines.
• Excellent interpersonal skills; able to work independently as well as in a team.

Responsibilities

• Drive the feature from inception to production launch that will help improve Search, Foundation models, Siri & other Apple products.
• Work with cross functional teams & stakeholders to solve ambiguous problems.
• Build software that improves experimentation and helps team make better decisions about what to try next.
• Drive the team & organizational goals & OKRs.
• Deliver artifacts, code with high quality.

Skills

Coding skills

Problem solving

Big Data

Learning agility

Tools

Kubernetes

Job description

Seattle, Washington, United States

Summary

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you want to make Spotlight search, Foundation models, Siri and other Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data and have an opportunity to imagine and build products that delight our customers every single day.

Description

We are responsible for Search infrastructure at Apple. We design and build infrastructure to support features that empowers Spotlight and Siri users. We are responsible for the end to end ownership of our pipelines and services, from conception, to design, to implementation, to deployment, to operations. As a result, each one of us takes our responsibilities seriously, while having a lot of fun building the best services at scale we can. We have numerous latency sensitive services, jobs and pipelines that solve problems within Search infrastructure engineering. As part of this team you'll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data.

• Drive the feature from inception to production launch that will help improve Search, Foundation models, Siri & other Apple products
• Work with cross functional teams & stakeholders to solve ambiguous problems
• Build software that improves experimentation and helps team make better decisions about what to try next
• Drive the team & organizational goals & OKRs
• Deliver artifacts, code with high quality

Minimum Qualifications

Strong coding skills in any programming language

Strong problem solving skills and ability to write performant and high quality clean code.

Quick learner who can pickup new technology stacks, programming languages and be able to deliver features.

Experience solving Big Data problems - we have problems that are far too large to fit on a single box, and we need to be able to build tools to solve them.

Excellent interpersonal skills; able to work independently as well as in a team; can take feedback and iterate on a solution in a collaborative environment

Our applications are complex and strong programming skills and computer science fundamentals are essential. Whether you have a traditional Masters or PhD in compute science or self-taught or learned some other way, we'd love to talk with you.

Preferred Qualifications

Experience with cloud platforms such as AWS, GCP, or Azure is a plus

Experience with big data storage systems, data lake, data pipelines is a plus

Experience building Kubernetes based jobs & services is a plus.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

AIML- Machine Learning Engineer, Machine Learning Platform & Infrastructure Job ID- 963

AIML- Machine Learning Engineer, Machine Learning Platform & Infrastructure Job ID- 963 Job ID- 3196