ML Data Scientist - Computer Vision
Company: Apple Inc.
Location: Sunnyvale
Posted on: October 16, 2024
Job Description:
Do you have a passion for computer vision and deep learning
problems? Are you interested in the latest development of the
multi-modal models? The Data Analytic and Quality (DAQ) group is
seeking a Machine Learning Data Scientist to specialize in the
evaluation of GenAI models. This role involves collaboration with
teams at Apple passionate about developing foundation models,
including ML engineers, data scientists, and ML Infrastructure
engineers.DescriptionYour primary responsibilities will include
developing methods for the evaluation and improvement of foundation
models, as well as refining the data used in training them,
applying data centric AI approaches:
- Design and develop image/video analysis (ROI, SOD, content
classification, artifact detection, etc.) and quality assessment
algorithms.
- Participate in crafting testing strategies and solutions for
E2E quality evaluation with a combination of image/video analysis,
processing, and encoding algorithms.
- Conduct detailed failure analysis on large GenAI models and
machine learning models in different aspects like
Operational/Ethical/Security & Privacy.
- Work with developer teams to define and request data to ensure
the data coverage.
- Prototype novel evaluation and benchmark methods from
foundation model literature research.
- Develop tools for analyzing and visualizing data.
- Design and implement experiments (DOE) for engineering studies
and large-scale user studies and analyze results.
- Facilitate and support data collection and analysis in
collaboration with other groups.
- Contribute to defining feature specifications and anticipated
user experience based on data insights.Minimum Qualifications
- BS and a minimum of 3 years relevant industry experience.
- Work experience in statistical data analysis and machine
learning techniques.
- Familiar with in-depth analysis and evaluation of machine
learning models.
- Background with analytical tools such as Jupyter, Pandas,
NumPy, Matplotlib.Preferred Qualifications
- Familiarity with various foundation models in GenAI, like VAEs,
Transformers, Diffusion Models, NeRF, CLIP, etc.
- Expertise of video analysis algorithms or subjective/objective
video quality algorithms, and pioneering technologies.
- Expertise in photography, videography, or image science and a
passion for learning more.
- Experience in training models using frameworks like PyTorch,
TensorFlow, Jax, etc.
- Proficient in distributed systems and a good understanding of
operating systems.
- Expert in at least one scripting language, preferably
Python.
- Self-motivated and curious with demonstrated creative and
critical thinking capabilities.
- Proficient verbal and written communication skills, along with
strong collaborative abilities.Additional RequirementsAt 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 $143,100 and $264,200, 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.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.
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Keywords: Apple Inc., North Highlands , ML Data Scientist - Computer Vision, IT / Software / Systems , Sunnyvale, California
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