Machine Learning Engineer, SIML
Jobbeschreibung
Zürich, Zürich, Schweiz
Apple
01.05.2024
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SummaryPosted: Weekly Hours: 40 Role Number:200509737We work on the
cutting edge of Artificial Intelligence and Machine learning to build
intelligent system experiences for the world’s most impactful
platforms such as iOS, macOS, tvOS, etc. This system-wide intelligence
aims to provide best-in-class solutions for problems that are critical
to the success of 1st and 3rd party applications in Apple platforms.
Some examples of such areas include sharing suggestions, vector
indexing and search, discovering and indexing people identities,
social relationships, visual recognition of people and things, OCR,
natural language generation, visual generation, etc.We are looking for
highly skilled and creative ML practitioners who are well versed with
using large language models (LLMs) for a variety of downstream tasks
beyond language generation. Of particular interest is using LLMs to
reason in a multi-modal setting, by combining imperfect visual
perception with contextual information derived from the system.We are
the Human and Object Understanding (HOUr) team within the System
Intelligence and Machine Learning (SIML) group. We are an applied R&D
team that develops fundamental ML technologies and systems for visual
perception and reasoning of humans-in-context. Some examples of visual
perception technologies the team own include real-time always-on
object detection (Center Stage, Cinematic Mode), end-end system-wide
person recognition (Photos, HomeKit, Memojis, Apple Pay), spoof
detection (IDs in Wallet), and gaze understanding (Center Stage,
intelligent cropping). Some examples of high-level reasoning systems
include: sharing suggestions, inferring name-person relationships, and
efficient vector indexing.Key QualificationsFamiliarity with Python,
PyTorch, TensorFlowHold yourself and others to a high bar when
delivering a modelHave great communication skills, for collaborating
across many participating teamsHands-on experience with LLM-based
workflows: prompt engineering and parameter-efficient fine-tuning of
pre-trained LLMExperience with multi-modal setting, specifically
Vision and LanguageAbility to rapidly iterate with fine-tuning
toolboxes.Ability to translate high-level product goals into data,
model and metrics requirements.Awareness and attention to model
complexity, power and performance.DescriptionAs a ML engineer in the
SIML HOUr team, you will work with large-language models and
multi-modal generative models, following closely groundbreaking
advancements in this domain, to adjust and apply them to internal use
cases. One main mission of the role is building adapters on top of
large models to enable specific use cases, having a direct impact on
features across the Apple ecosystem.The work will involve translating
high-level product goals into different levels of the stack. From
defining the data needs, manipulating data, fine-tuning pre-trained
models for the task, evaluating it across relevant metrics and power
and performance, prototyping and delivering it for integration.The
work will be multi-functional, collaborating with ML researchers,
software engineers, product design, and other teams. Be expected to
iterate quickly to deliver a high quality model, that is performant,
reliable, tested extensively, and documented. Apart from model
development, the role will also give the experience of scoping
projects, estimating timelines, multi-functional planning and
presenting your work to organization leadership.If this could be of
interest, please apply!Education & ExperienceMaster's or Ph.D. in
Computer Science, Artificial Intelligence, Machine Learning, or a
related fieldAdditional RequirementsApple’s most important resource,
our soul, is our people. Apple benefits help further the well-being of
our employees and their families in meaningful ways. No matter where
you work at Apple, you can take advantage of our health and wellness
resources and time-away programs. We’re proud to provide stock grants
to employees at all levels of the company, and we also give employees
the option to buy Apple stock at a discount — both offer everyone at
Apple the chance to share in the company’s success. You’ll discover
many more benefits of working at Apple, such as programs that match
your charitable contributions, reimburse you for continuing your
education and give you special employee pricing on Apple
products.Apple benefits programs vary by country and are subject to
eligibility requirements.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. Apple is committed to working with and providing
reasonable accommodation to applicants with physical and mental
disabilities. Apple is a drug-free workplace.