Machine Learning Project Manager – SIML, ISE Job ID- 1455 Job ID- 3743

MaziCTools

Los Angeles (CA)

Hybride

USD 118 000 - 206 000

Plein temps

Il y a 3 jours
Soyez parmi les premiers à postuler

Obtenez une réponse de cet employeur

Votre CV et votre lettre de motivation, adaptés exactement à ce que l’employeur recherche.

Passez les filtres ATS

Résumé du poste

Apple in Cupertino is seeking a talented Machine Learning Project Manager to lead data programs supporting ML features across its product ecosystem. You will drive end-to-end data collection and annotation with R&D partners, ensuring privacy and security are integrated from the start.

This role blends program management with ML data operations, requiring Python scripting, strong communication, and a focus on unbiased, high-quality datasets that power features from autocorrect to next-word

Qualifications

  • Excellent program and project management, communication, and organizational skills.
  • Python scripting to automate tasks and compute metrics.
  • Ability to design ML datasets focusing on unbiased, inclusive end-to-end user experiences.

Responsabilités

  • Collaborate with R&D to understand data requirements from inception to delivery.
  • Design ML Data Ops strategies for collection and annotation, including tooling needs.
  • Drive enhancements of data operations to increase scalability, diversity and quality, and reduce cost and lead time.
  • Work with privacy, legal, procurement, and product security teams to identify and clear options for data operations.
  • Thoroughly scope projects, estimating timelines, cost, and identifying potential challenges in advance.
  • Coordinate data programs across internal data functions (data engineering, data science, QA) and other partners.
  • Establish clear guidelines and training material.
  • Collaborate with vendors to calibrate tasks; track and report on quantity and quality metrics.

Connaissances

Python
Project management
DataOps

Formation

Bachelor's degree in Computer Science, Mathematics, Physics

Description du poste

Cupertino, California, United States

Summary

Posted: Sep 11, 2024

Weekly Hours: 40

Description

Would you like to contribute to generative AI and transform how people interact with AI technologies? Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the Data Team of the System Intelligence and Machine Learning (SIML) group within the software engineering organization at Apple. We are responsible for building high-quality ML datasets at scale, used to train ML models that power AI-centric features for many Apple products (iPhone, iPad, Mac, Apple Watch, and even AirPods). Such features go from the smart wallpaper on your iPhone Lock Screen to the models that highlight the faces of your loved ones in your Photos app to input experiences (e.g., autocorrect, next-word prediction, handwriting recognition). We are looking for a talented individual to drive Data Programs supporting ML features, in close collaboration with our R&D partners, and to run the corresponding data projects end-to-end (collection & annotation). We invite you to join us at this exciting time!

THIS INCLUDES
  • Collaborate with R&D partners to understand and define their data requirements from inception to delivery
  • Design and implement ML Data Ops strategies optimized for each feature (collection and annotation), including the identification and sourcing or creation of necessary tooling, equipment or crowd
  • Drive enhancements of data operations (increase scalability, diversity and quality, reduce cost and lead time), through innovative workflows that combine human and machine computation (leveraging capabilities of ML and foundation models)
  • Work closely with privacy, legal, procurement, and product security teams to identify and clear options considered for data operations
  • Thoroughly scope projects, estimating timelines, cost, and identifying potential challenges in advance
  • Coordinate data program across internal data functions (data engineering, data science, QA) and other partners
  • Establish clear guidelines, and training material
  • Collaborate with vendors to ensure tasks are calibrated appropriately; track and report on quantity and quality metrics
Minimum Qualifications
  • Excellent program/project management, communication, interpersonal, analytical, and organizational skills
  • Scripting skills (Python) to automate tasks, compute metrics and explore use of workflows combining ML and human inputs
  • A talent for creating ML datasets focusing on end-to-end user experience by foreseeing issues, handling edge cases, and removing bias while ensuring inclusion and fairness
Preferred Qualifications
  • Capacity to multitask and manage multiple projects in parallel while meeting deadlines, and maintaining clear and effective communication with stakeholders
  • Proficient in problem-solving and critical thinking, with a focus on innovation and continuous improvement
  • A self-starter, able to handle ambiguity, identify risks, troubleshoot, and find the right people and tools to get the job done
Education & Experience

Bachelors degree in Computer Science, Mathematics, Physics, or a related field; or equivalent practical experience.

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 $117,832 and $205,500 annualized, 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.

Machine Learning Project Manager - SIML, ISE Job ID- 1455

Machine Learning Project Manager - SIML, ISE Job ID- 1455 Job ID- 3743

Obtenez votre examen gratuit et confidentiel de votre CV.

ou faites glisser et déposez votre fichier ici.

Similar jobs

Postes similaires à comparer

AIML – ML Engineer, MLR Job ID- 989 Job ID- 3227
AIML – ML Engineer, MLR Job ID- 989 Job ID- 3227

MaziCTools • États-Unis

À distance
USD 143 000 - 264 000
Apple stock programs
Educational expense reimbursement
Relocation assistance
AIML – Sr Software Data Infrastructure Engineer – Data and ML Innovation Job ID- 926 Job ID- 3154
AIML – Sr Software Data Infrastructure Engineer – Data and ML Innovation Job ID- 926 Job ID- 3154

MaziCTools • États-Unis

À distance
USD 176 000 - 312 000
Stock options
Medical coverage
Relocation assistance
AIML – Sr. ML Operations Engineer, BIG Job ID- 1001 Job ID- 3239
AIML – Sr. ML Operations Engineer, BIG Job ID- 1001 Job ID- 3239

MaziCTools • États-Unis

À distance
USD 176 000 - 312 000
Medical and dental coverage
Retirement benefits
Stock programs
+1
AIML – Machine Learning Engineer, Machine Learning Platform & Infrastructure Job ID- 996 Job ID- 3234
AIML – Machine Learning Engineer, Machine Learning Platform & Infrastructure Job ID- 996 Job ID- 3234

MaziCTools • États-Unis

À distance
USD 143 000 - 264 000
Stock programs
Discretionary bonuses
Relocation assistance
Senior ML Data Engineer, MLO
Senior ML Data Engineer, MLO

Apple Inc. • Cupertino (CA)

Hybride
USD 185 000 - 325 000
Machine Learning Algorithm Engineer Job ID- 995 Job ID- 3233
Machine Learning Algorithm Engineer Job ID- 995 Job ID- 3233

MaziCTools • États-Unis

À distance
USD 143 000 - 264 000
Stock options
Relocation assistance
Education reimbursement
+2
AIML - Senior Data Engineer, Machine Learning Platform Technologies
AIML - Senior Data Engineer, Machine Learning Platform Technologies

Apple • Cupertino (CA)

Sur place
USD 212 000 - 318 400
Comprehensive medical and dental coverage
Retirement benefits
Educational reimbursement
+1
AIML- Machine Learning Engineer, Machine Learning Platform & Infrastructure Job ID- 963 Job ID- 3196
AIML- Machine Learning Engineer, Machine Learning Platform & Infrastructure Job ID- 963 Job ID- 3196

MaziCTools • États-Unis

À distance
USD 167 000 - 296 000
Stock options
Medical & dental coverage
Relocation assistance
Senior Machine Learning Systems Infrastructure Engineer - SIML, ISE
Senior Machine Learning Systems Infrastructure Engineer - SIML, ISE

Apple • Cupertino (CA)

Sur place
USD 181 100 - 318 400
Comprehensive medical and dental coverage
Retirement benefits
Employee stock programs
+1
Data Scientist - Intelligent Experiences, MLO
Data Scientist - Intelligent Experiences, MLO

Apple, Inc. • Cupertino (CA)

Sur place
USD 150 000 - 278 000
Stock programs
Medical and dental coverage
Retirement benefits
+4