Machine Learning Engineer - SIML, ISE

Key Skills

Aartificial intelligence, Data science techniques, Effective communication skills, Git, Jupyter Notebook, Large Language Models - LLMs, Machine learning techniques, Presentation skills, Python Programming, PyTorch, Scikit-learn, SQL, Transformer

Job Description

Would you like to help shape the next set of ML features of iPhone? Would you like to contribute to the field of generative AI? Want to contribute to transforming how people interact with AI technologies? The System Intelligence and Machine Learning team is in charge of creating datasets that power many of Apple’s intelligent software. Our datasets range from very small targeted sets to Petabyte scale datasets. As a data scientist on our team you will be in charge of selecting the right assets, removing harmful and toxic assets and extracting insights from the datasets, assessing & reducing harmful biases, and maximizing fairness and inclusion of various ML features. We are looking for an experienced Machine Learning Engineer who can help create and improve the datasets used in Generative AI through solid understanding and usage of ML and stats. You will be using Apple technologies to refine our datasets, 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.

Key Qualifications

• Familiarity with a broad range of Machine Learning techniques and relevant statistical packages to engineer Machine Learning solutions end-to-end.
• Experience in contributing to production code bases. 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, CLIP and various visual and text embedding models, GPT and BERT style language models).
• Exceptional communication and presentation skills and the ability to explain difficult technical topics to everyone from data scientists to engineers to business partners.
• Strong proficiency with Python (Scikit learn, Jupyter), PyTorch, SQL-based languages. Working proficiency with Git.

Description

As a Machine Learning Engineer on the Data Team, you will be working to deepen our understanding of how various datasets can improve the quality of Apple’s ML models on a range of products. You will particularly help shape Apple’s Datasets that are used for generative AI by removing irrelevant or toxic assets, selecting the right assets by employing various asset selection algorithms, 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 expected 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 problem solving skills will be used daily.

Education & Experience

Masters or Phd degree in Computer Science, Engineering; or equivalent practical experience. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

Additional Requirements

• Strong analytical product intuition: able to understand the user experience and use data to guide the development of products.
• 2+ years of experience in an Applied Scientist role, preferably in a technology company.
• Ability to understand a technically complex product, and work with engineering leads and data engineers.
• Proficiency in data science and analytics, including statistical data analysis and machine learning. Experience crafting, conducting, analyzing, and interpreting experiments and deep-dive investigations.
• 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 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.