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 Machine Learning Engineer, Visual Intelligence Technology Job at Apple In.
United States Jobs Expertini

Urgent! AIML - Machine Learning Engineer, Visual Intelligence Technology Job at Apple In Job Opening In Seattle – Now Hiring Mediabistro

AIML Machine Learning Engineer, Visual Intelligence Technology Job at Apple In



Job description

Overview

Seattle, Washington, United States Machine Learning and AI

Apple is where individual imaginations gather together, committing to the values that lead to great work.

Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger.

That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better.

It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do.

When we bring everybody in, we can do the best work of our lives.

Here, you’ll do more than join something — you’ll add something.

In Visual Intelligence Technology team, we work hard to bring the best user experiences powered by Apple Intelligence.

We leverage cutting-edge technologies like Visual Search and LLM to empower user-facing features like Visual Look-up and Visual Intelligence in camera and photos.

We also advance our technology innovation in Visual Intelligence Technology and Multimodal Foundation Model for longer-term ambitious goals.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence.

This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Description

Apple is where individual imaginations gather together, committing to the values that lead to great work.

Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger.

That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better.

It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do.

When we bring everybody in, we can do the best work of our lives.

Here, you’ll do more than join something — you’ll add something.In Visual Intelligence Technology team, we work hard to bring the best user experiences powered by Apple Intelligence.

We leverage cutting-edge technologies like Visual Search and LLM to empower user-facing features like Visual Look-up and Visual Intelligence in camera and photos.

We also advance our technology innovation in Visual Intelligence Technology and Multimodal Foundation Model for longer-term ambitious goals.

Minimum Qualifications

  • MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
  • 7+ years of experience in machine learning, deep learning, information retrieval, natural language processing or data mining
  • 5+ years of experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs
  • Experience being a tech lead, and has been successfully leading a team to ship software to users
  • Excellent knowledge and good practical skills in designing ML platforms, architectures or algorithms
  • Strong interpersonal skills able to work independently as well as in a team

Preferred Qualifications

  • Experience with optimizing performance on resource constrained devices
  • Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch…)
  • Experience with graphics development: OpenGL, Metal, Vulcan or neural engine integration / optimization
  • Experience with OpenGL and/or OpenCL programming

Compensation and Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range.

The base pay range for this role is between $201,300 and $302,200, 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.


#J-18808-Ljbffr


Required Skill Profession

Computer Occupations



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 Machine Potential: Insight & Career Growth Guide


  • Real-time AIML Machine Jobs Trends in Seattle, 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 Machine in Seattle, 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 9083 jobs in United States and 371 jobs in Seattle. This comprehensive analysis highlights market share and opportunities for professionals in AIML Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for AIML Machine Learning Engineer, Visual Intelligence Technology Job at Apple In Job?

    Great news! is currently hiring and seeking a AIML Machine Learning Engineer, Visual Intelligence Technology Job at Apple In 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 Mediabistro 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 Machine Learning Engineer, Visual Intelligence Technology Job at Apple In Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Seattle. 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 Machine Learning Engineer, Visual Intelligence Technology Job at Apple In?

    Key qualifications for AIML Machine Learning Engineer, Visual Intelligence Technology Job at Apple In typically include Computer Occupations 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 Machine Learning Engineer, Visual Intelligence Technology Job at Apple In?

    To improve your chances of getting hired for AIML Machine Learning Engineer, Visual Intelligence Technology Job at Apple In, 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 Machine Learning Engineer, Visual Intelligence Technology Job at Apple In Job Success
    Mediabistro interview tips for AIML   Machine Learning Engineer, Visual Intelligence Technology Job at Apple In

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

    Before the Interview:
    • Research: Learn about the Mediabistro'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 Machine Learning Engineer, Visual Intelligence Technology Job at Apple In interview at Mediabistro, 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 Mediabistro'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 Machine Learning Engineer, Visual Intelligence Technology Job at Apple In Positions

    Setting up job alerts for AIML Machine Learning Engineer, Visual Intelligence Technology Job at Apple In 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!