Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies.
United States Jobs Expertini

Urgent! AIML - Senior/Staff Software Engineer, Machine Learning Platform Technologies Job Opening In San Francisco – Now Hiring Apple

AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies



Job description

**Role Number:** 200619905-3401

**Summary**
Shape the future of search at Apple.

The Search Information Intelligence organization is at the forefront of innovation in algorithmic search, machine learning, natural language processing, and artificial intelligence—transforming how hundreds of millions of users discover and interact with information.

Our mission: to architect the intelligent search platforms of tomorrow, at Apple-scale.
As a Developer Experience Engineering Leader, you will:
Drive technical vision and strategy for building, evolving, and scaling distributed infrastructure and platforms that accelerate Apple’s search capabilities—empowering developer teams company-wide to iterate, validate, and deliver best-in-class features, safely and at scale.
Architect robust systems for large-scale experimentation, automated testing, and continuous integration of Search infrastructure, ensuring high reliability, efficiency, and security across products and platforms.
Lead cross-functional collaboration with engineering, AI/ML, product, and executive teams to align platform architecture with Apple’s long-term product roadmap and developer experience goals.
Mentor and inspire technical excellence across the organization, shaping culture, fostering talent development, and establishing best practices for scalable infrastructure and developer productivity.
Deliver impactful results by designing solutions that push the boundaries of performance, efficiency, and quality—ultimately redefining the search experience on a global scale.
This is a rare opportunity for an engineering leader to shape technical strategy and leave a profound impact on Apple’s most visible consumer experiences.

If you are passionate about building the intelligent systems that power the way the world searches and learns, and have the vision to scale ideas from inception to Apple-scale deployment, we want to hear from you.

**Description**
You will have the opportunity to make a significant, organization-wide impact by:
Tackling and resolving complex technical challenges that shape the future of developer experience at Apple.
Setting strategic direction for the developer experience organization—shaping architectural decisions and long-term vision across products and teams.
Streamlining both inner and outer development loops, enhancing reliability, driving automation, and drastically reducing toil for engineering teams.
Pioneering and implementing advanced validation and testing methodologies to elevate product quality and engineering velocity.
Rolling up your sleeves to tackle the bugs and technical debt that others shy away from—making a real difference where it matters most.

**Minimum Qualifications**

+ Strong coding skills
+ Strong background in computer science: algorithms and data structures
+ Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
+ Excellent interpersonal skills able to work independently as well as in a team
+ Bachelor degree or above in Computer Science or related field

**Preferred Qualifications**

+ Demonstrated leadership in optimizing end-to-end developer workflows across both the inner loop (local development) and outer loop (integration, testing, and deployment).
+ Extensive experience designing, implementing, and scaling CI/CD pipelines, automating pre-submit checks, and building high-performance, production-accurate testing infrastructure.
+ Proven success in streamlining release processes, automating manual deployments, and driving improvements in environment stability, reliability, and consistency.
+ Adept at developing tools and frameworks that enhance debugging efficiency, reduce friction for developers, and accelerate product delivery.
+ Deep expertise in root cause analysis of systemic engineering issues, including build failures, flaky tests, and failed deployments, with a track record of implementing long-term, scalable solutions that improve developer velocity and engineering quality.

**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 $212,000 and $386,300, 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.

(https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .



Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your AIML Senior Potential: Insight & Career Growth Guide


  • Real-time AIML Senior Jobs Trends in San Francisco, United States (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AIML Senior in San Francisco, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 185026 jobs in United States and 7326 jobs in San Francisco. This comprehensive analysis highlights market share and opportunities for professionals in AIML Senior roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies Job?

    Great news! is currently hiring and seeking a AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying United States laws and regulations
  • What Is the Average Salary Range for AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies?

    Key qualifications for AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies?

    To improve your chances of getting hired for AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies Job Success
    Apple interview tips for AIML   Senior/Staff Software Engineer, Machine Learning Platform Technologies

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the Apple's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies interview at Apple, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies Positions

    Setting up job alerts for AIML Senior/Staff Software Engineer, Machine Learning Platform Technologies is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!