Senior Machine Learning Engineer - SIML, ISE

Cupertino,California,United States

Software and Services

The System Intelligence and Machine Learning team is in charge of creating datasets that power many of Apples intelligent software. Our datasets range from very small targeted sets to Petabyte scale datasets. We are looking for an expert Machine Learning engineer, or Data Scientist who can help create and improve the datasets used in Generative AI through proven understanding and usage of ML and stats. As a senior member of the System Intelligence and Machine Learning Data team, you will be using Apple technologies to refine our datasets, perform ML-based QA, remove toxicity and select the right images, videos or texts through active selection and model-in-the-loop methodologies. Focus areas range from text processing across many languages (toxic language detection and removal, identification of colloquial vs formal language) to image and video understanding, deduplication and processing. As part of this role you will also own our data synthesis efforts in various modalities including image, text, videos and audio.

**Description**

In this role, you will be working to deepen our understanding of how various datasets can improve the quality of Apples ML models on a range of products. You will particularly help shape Apples Datasets that are used for generative AI by removing irrelevant or toxic assets, selecting the right assets by employing various asset selection algorithms, and synthesizing new datasets by utilizing Apple proprietary ML models. For this, you will also use your stats and ML background to build models and algorithms that can select the right assets for ML experiences from a large pool of available assets. And you will work with our data engineers to put your models in data pipelines to run on large scale datasets. In our team, you are encouraged to collaborate with other AIML product stakeholders and partners to understand needs, design Machine Learning models that help us better understand our data and automatically pick the right assets for ML training. Our Data Scientists actively evaluate and present the progress of their work. Your creative decision making will be applied daily.

**Minimum Qualifications**

**Key Qualifications**

Proven track record in a Machine Learning Engineering or Applied Scientist role, preferably in a technology company.

Familiarity with a broad range of Machine Learning techniques and relevant statistical packages to engineer ML solutions end-to-end.

Experience in contributing to production codes; ability to rapidly prototype algorithmic ideas in notebook environments and translate them into production code.

Proficient in state-of-the-art ML techniques, particularly in the field of Generative AI and Large Language Models (Transformer architecture, diffusion models, CLIP and various visual and text embedding models, GPT and BERT style language models).

Strong proficiency with Python (Scikit learn, Jupyter), PyTorch, SQL-based languages. Working proficiency with Git.

Proven experience in data science and analytics, including statistical data analysis. Experience crafting, conducting, analyzing, and interpreting experiments and deep-dive investigations.

Outstanding communication and presentation skills with the ability to explain difficult technical topics to everyone from data scientists, engineers, and business partners.

**Preferred Qualifications**

**Education & Experience**

Bachelors, Masters or PhD degree in Computer Science, Statistics, Mathematics, Engineering; or equivalent experience.

**Additional Requirements**

- Strong analytical product intuition: able to understand the user experience and use data to guide the development of products.

- Experience in synthetic data generation for videos, images, text and audio is desired.

- Ability to understand a technically complex product, and work with engineering leads and data engineers.

- Ability to build relationships across multiple functions and establish strong partnerships.

**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 $170,700 and $256,500, 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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 Footer**

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .