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Speech & Audio ML Algorithm Engineer Job Opening In Culver City – Now Hiring Apple

Speech & Audio ML Algorithm Engineer

    United States Jobs Expertini Expertini › United States › Jobs › Culver City › Other General › Speech & Audio Ml Algorithm Engineer

Job description

**Role Number:** 200621300-0670

**Summary**
Imagine what you could do at Apple! Everyday, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly.

Do you bring passion and dedication to your job?

If so, we are looking for individuals like you.

The Audio and Media Technologies (AMT) team is at the center of audio & video processing in Apple’s innovative products, including iPhone, iPad, Mac, Apple Watch, AirPods, HomePod, Apple TV, and Vision Pro.
AMT’s Audio team provides the audio foundation for various high profile features like Phone Calls, FaceTime, Siri, Audio Content Creation, Spatial Audio, and Media Capture and Playback.

As part of the Audio Algorithms group, you will research and develop world class Audio Technologies across Apple products.

**Description**
The Audio Algorithms team is seeking a highly skilled and creative engineer interested in advancing audio technologies at Apple.

As a member of the team, you will work together with other researchers to develop cutting-edge machine learning technologies for audio processing.
You will research, implement, and optimize these features on Apple's products as we push the state of the art in audio technologies.

You'll collaborate with multiple teams across product development, Acoustics, Audio Software, and others to integrate your ideas into products and build future technologies that will impact billions of Apple customers.

**Minimum Qualifications**

+ Hands-on experience in generative machine learning
+ Hands-on experience developing machine learning pipelines
+ Research experience in audio algorithm development using machine learning (released product features, patents, papers, etc.)
+ Proficiency in Python and common software engineering practices

**Preferred Qualifications**

+ MS/PhD in Computer Science or Electrical Engineering
+ Experience with multimodal encoding, diffusion, flow matching, distillation
+ Familiarity with developing ML for resource-constrained devices
+ Familiarity with developing real-time speech and audio processing software
+ Familiarity with psycho-acoustics, speech, and language modeling.

**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 $139,500 and $258,100, 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


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Unlock Your Speech Audio Potential: Insight & Career Growth Guide


Real-time Speech Audio Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Speech Audio in Culver City, United States, highlighting market share and opportunities for professionals in Speech Audio roles.

21490 Jobs in United States
21490
491 Jobs in Culver City
491
Download Speech Audio Jobs Trends in Culver City and United States

Are You Looking for Speech & Audio ML Algorithm Engineer Job?

Great news! is currently hiring and seeking a Speech & Audio ML Algorithm Engineer to join their team. Feel free to download the job details.

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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. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Speech & Audio ML Algorithm Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Culver City. 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 Speech & Audio ML Algorithm Engineer?

Key qualifications for Speech & Audio ML Algorithm Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Speech & Audio ML Algorithm Engineer Job Success

Apple interview tips for Speech & Audio ML Algorithm Engineer

Here are some tips to help you prepare for and ace your Speech & Audio ML Algorithm Engineer 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 Speech & Audio ML Algorithm Engineer 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!

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