Date Posted: 05/02/2025
Hiring Organization: Rose International
Position Number: 482104
Job Title: Machine Learning Data Program Manager
Job Location: Cupertino, CA, USA, 95014
Work Model: Hybrid
Shift: Remote in Bay Area, will have to come onsite from time to time.
Employment Type: Temporary
Estimated Duration (In months): 13
Min Hourly Rate($): 54.56
Max Hourly Rate($): 54.56
Must Have Skills/Attributes: Automation, MAC OS, Machine Learning, Program management, Project Management, Python, Troubleshooting
Job Description
Required Experience and Skills:
• Excellent English-language oral and written communication skills
• Previous project management experience
• Flexibility and adaptability to thrive in a fast-paced, highly demanding, and constantly changing environment
• Self-motivated with the ability to work independently with little supervision
• Highly organized with strong attention to detail
• Strong critical thinking skills, with a focus on innovation and continuous optimization (quality, cost efficiency)
• Ability to independently navigate systems and tools
• Proficiency in scripting (Python) to automate tasks, compute metrics, and explore workflows combining ML and human inputs
• Ability to handle ambiguity, identify risks, troubleshoot issues, and find the right people and tools to get the job done
• Capacity to multitask and manage multiple projects simultaneously, while meeting deadlines and maintaining clear, effective communication with stakeholders
Job Summary:
We are seeking a talented individual to lead Data Programs that support ML features. In this role, you will collaborate closely with R&D to scope projects, develop specifications and guidelines, manage data collections, create tooling, oversee annotations, and ensure data quality before delivery. You will need to work effectively across teams while managing multiple projects simultaneously.
Job Responsibilities:
• Collaborate with R&D partners to understand and define data requirements from inception to delivery
• Design and implement ML Data Ops strategies optimized for each feature (collection and annotation), including identifying, sourcing, or creating necessary tooling, equipment, or crowdsourcing solutions
• Establish clear guidelines and specifications
• Thoroughly scope projects, estimate timelines and costs, and identify potential challenges in advance
• Coordinate data programs across internal functions (data engineering, data science, QA) and other partners
• Collaborate with vendors to ensure tasks are calibrated appropriately, track and report on quantity and quality metrics
• Independently run in-person data collections and user studies
- Only those lawfully authorized to work in the designated country associated with the position will be considered.
- Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.
Benefits:
For information and details on employment benefits offered with this position, please visit here . Should you have any questions/concerns, please contact our HR Department via our secure website .
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here .
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department .
Rose International has an official agreement (ID ), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).