Sr. ML Infrastructure Engineer, Siri Runtime Systems and Interaction

Apple Inc.

Seattle (WA)

On-site

USD 175,000 - 263,300

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Apple Inc. in Seattle, WA, invites a Sr. ML Infrastructure Engineer to join the Siri Runtime Systems and Interaction team. You will help build the data and infrastructure ecosystem to support ML development across devices and services.

Collaborate with ML Modeling, Infrastructure, Software, Hardware and Operations to design, deploy and maintain scalable data products and services, owning end-to-end lifecycle from conception to operation.

Qualifications

  • 4+ years of industry experience in computer science or software systems.
  • Strong CS fundamentals: algorithms, data structures, system design.
  • Proficient with Python, Docker, cloud infrastructure, Spark.
  • Experience building and debugging software service stacks.
  • Ability to work independently and cross-functionally.

Responsibilities

  • Help build the data and infrastructure ecosystem for ML development.
  • Collaborate across ML Modeling, Infrastructure, Software, Hardware and Ops teams.
  • Own end-to-end lifecycle from conception to deployment and maintenance.
  • Develop and debug scalable software service stacks.

Skills

CS fundamentals
Algorithms
Data structures
System design
Python
Docker
Cloud infrastructure
Spark
Software services
Interpersonal skills

Education

Bachelor's degree in CS/Engineering or related

Tools

Spark

Job description

Sr. ML Infrastructure Engineer, Siri Runtime Systems and Interaction

Seattle, Washington, United States Software and Services

Description

As part of the Data and Tooling team, you will help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features. We take full end-to-end ownership of our services and data products, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you’ll have the opportunity to work on complex problems in close partnership with our ML Modeling teams, Infrastructure, Software, Hardware and Operations.

Minimum Qualifications
  • At least 4+ years of relevant industry experience with the following:
  • Strong background in computer science: algorithms, data structures and system design
  • In-depth knowledge and experience with the following technologies: Python, Docker, Cloud Infrastructure, Spark
  • Expertise in developing and debugging software service stacks
  • Excellent interpersonal skills able to work independently as well as cross-functionally
  • Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent industry experience
Preferred Qualifications
  • Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow
  • Familiar with workflow orchestrators like Airflow or Kubeflow
  • Developed tools and services to optimize ML systems beyond model selection

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 $175,000 and $263,300, 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’s 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. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Machine Learning Systems Engineer, Siri Runtime Systems and Interaction
Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Apple Inc. • Cupertino (CA)

On-site
USD 129,300 - 225,300
Stock programs
Medical & dental coverage
Retirement benefits
+4
Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms
Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms

Apple Inc. • Seattle (WA)

On-site
USD 175,000 - 309,000
Medical and dental coverage
Employee stock programs
Tuition reimbursement
+1
AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology
AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology

Apple Inc. • Santa Clara (CA)

On-site
USD 150,400 - 277,600
Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms
Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms

Apple Inc. • San Francisco (CA)

On-site
USD 184,700 - 324,800
ML Software Engineer
ML Software Engineer

Apple Inc. • Seattle (WA)

On-site
USD 175,000 - 264,000
Employee stock purchase plan
discretionary stock awards
Medical and dental coverage
+3
Software Development Engineer - Data, MLO
Software Development Engineer - Data, MLO

Apple Inc. • Cupertino (CA), Northern (KY)

Hybrid
USD 129,000 - 225,000
Senior ML Data Engineer, MLO
Senior ML Data Engineer, MLO

Apple Inc. • Cupertino (CA)

On-site
USD 184,000 - 325,000
AIML - Sr Machine Learning Engineer, Data and ML Innovation
AIML - Sr Machine Learning Engineer, Data and ML Innovation

Apple Inc. • Cupertino (CA)

On-site
USD 150,000 - 278,000
Employee stock programs
Discretionary bonuses
Relocation assistance
+2
AIML - Sr. Software Engineer, ML Platform Technologies (MLPT)
AIML - Sr. Software Engineer, ML Platform Technologies (MLPT)

Apple • San Francisco (CA)

On-site
USD 171,000 - 303,000
Comprehensive medical and dental coverage
Retirement benefits
Discounted products and services
+1
Machine Learning Engineer, Search & Knowledge Quality
Machine Learning Engineer, Search & Knowledge Quality

Apple Inc. • Santa Clara (CA)

On-site
USD 147,000 - 273,000
Comprehensive medical and dental coverage
Retirement benefits
Employee stock purchase program
+2