AIML - Machine Learning Engineer - Special Projects

Apple; Cupertino (CA); On-site; USD 175,000 - 313,000; Full time

Job summary

A leading company in technology is seeking a Machine Learning Engineer to develop innovative user-facing conversational features using state-of-the-art foundation models. The successful candidate will work closely with cross-functional teams to design, implement, and iterate upon machine learning algorithms that drive key functionalities across various products. This role requires a strong background in machine learning, proficiency in relevant tools, and the ability to collaborate effectively within diverse teams.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Reimbursement for educational expenses

Qualifications

• 2+ years hands-on industry experience building Machine Learning systems.
• Experience with evaluation of foundation models.
• Proficiency in ML frameworks (Pytorch or Tensorflow).

Responsibilities

• Design and implement machine learning algorithms for conversational features.
• Collaborate with stakeholders in hardware and software engineering.

Skills

Python

Machine Learning

Natural Language Processing

Pytorch

Tensorflow

Education

Master’s degree in Computer Science or other STEM majors

Job description

AIML - Machine Learning Engineer - Special Projects

**Cupertino, California, United States**

**Software and Services**

**Summary**

Posted: **Nov 04, 2024**

Weekly Hours: **40**

Role Number: **200577082**

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 experience we deliver is the result of us making each other’s ideas stronger. The diversity of our people and their thinking 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.

The Special Projects team at Apple is developing novel user-facing conversational features that leverage the multimodal capabilities of state-of-the-art foundation models. We are looking for a highly skilled Machine Learning Engineer to lead the development and evaluation of such features in collaboration with cross-functional stakeholders.

**Description**

In this role, you will:
- Design and implement machine learning algorithms to aid in building user-facing interactive conversational features
- Leverage multi-modal foundation models for rapid prototyping and iteration
- Develop evaluation strategies to translate product requirements to objective metrics
- Shepherd data collection and evaluation efforts to ensure rapid and measurable progress
- Collaborate with key stakeholders in hardware engineering, software engineering and design to develop prototypes and evolve them into production systems (for example, Siri and Apple Intelligence features in Apple’s operating systems).

**Minimum Qualifications**

+ Master’s degree in Computer Science or other STEM majors

+ Experience with the use and evaluation of foundation models

+ Proficiency in Python and ML frameworks (Pytorch or Tensorflow)

+ 2+ year of Hands-on industry experience building and evaluating Machine Learning or Natural Language Processing systems

**Preferred Qualifications**

+ PhD in Computer Science, Machine Learning or a related technical field

+ 4+ years of hands-on industry experience with Machine Learning systems

+ Proficiency in training and evaluation of foundation models and frameworks

+ A track record of publications or technical presentations in Machine Learning journals or conferences

+ Excellent at communication and cross functional collaboration

**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 $175,800 and $312,200, 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. (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) .

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) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.