AIML – Sr. ML Operations Engineer, BIG Job ID- 1001 Job ID- 3239

MaziCTools; United States; Remote; USD 176,000 - 312,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Stock programs

Relocation assistance

Job summary

Apple is seeking an ML Ops Engineer for the Body-sensing Intelligence Group within AIML to deliver high-quality datasets for next-generation ML algorithms, translating ML-driven experiences into scalable data pipelines that consider hardware, firmware, and software needs.

The role involves building systems to monitor data quality, collaborating with researchers, engineers, designers, and data experts, and presenting solutions to diverse stakeholders.

Qualifications

• Holds a B.S./M.S. degree in Electrical Engineering, Bioengineering, Data Science, or a related discipline
• Possess over 5 years of experience in taking products from concept to large-scale production
• Skilled in rapid prototyping and familiar with Design of Experiments (DOEs)
• Excellent problem-solving abilities and a proactive mindset in addressing challenges
• Strong communication skills and experience collaborating with distributed cross-functional teams
• Strong organizational skills and a keen attention to detail

Responsibilities

• Partner with multidisciplinary teams to lead innovative data collection projects with a focus on privacy
• Oversee the creation of intricate user studies that support research aims and product objectives
• Innovate and implement new operational strategies and practices
• Evaluate and enhance existing metrics and protocols to boost data quality and efficiency
• Quickly adapt to new and emerging hardware and software technologies
• Play a key role in creating groundbreaking products that improve user experiences
• Manage multiple active projects involving both emerging and established technologies
• Thrive in a collaborative and dynamic setting with opportunities for growth.

Job description

Summary

Join Apple's Body-sensing Intelligence Group (BIG) in the AIML organization! At Apple, we push the boundaries of innovation to create transformative products that impact billions of users worldwide. Our team is at the forefront of pioneering technologies that enhance multi-modal understanding of sensing hardware and machine learning (ML). We are looking for a passionate Operations Engineer to join our team. In this role, you will explore new operational methods, challenge existing metrics and protocols, and develop innovative practices to revolutionize data delivery and tackle real-world ML challenges. Your contributions will be crucial in enhancing the user experience of Apple products through advanced ML technologies.

Description

As an ML Ops Engineer at Apple, you will utilize our advanced tools and processes to deliver high-quality datasets for next-generation ML algorithms, creating exceptional user experiences. You will translate ML-driven experiences into clear, actionable processes that consider hardware, firmware, and software requirements. Your role will involve building data pipelines with an ML-first perspective, developing systems to monitor and ensure data quality, and scaling these systems effectively. Additionally, you will present your solutions to both technical and non-technical stakeholders. The solutions you develop will have a significant impact on future Apple products and the broader ML development ecosystem. Some other responsibilities include, but are not limited to: Partner with multidisciplinary teams, including researchers, engineers, designers, legal, and data experts, to lead innovative data collection projects with a focus on privacy Oversee the creation of intricate user studies that support both research aims and product objectives Innovate and implement new operational strategies and practices Evaluate and enhance existing metrics and protocols to boost data quality and efficiency Quickly adapt to new and emerging hardware and software technologies Play a key role in creating groundbreaking products that improve user experiences Manage multiple active projects involving both emerging and established technologies Thrive in a collaborative and dynamic setting with opportunities for growth.

Minimum Qualifications

• Holds a B.S./M.S. degree in Electrical Engineering, Bioengineering, Data Science, or a related discipline
• Possess over 5 years of experience in taking products from concept to large-scale production
• Skilled in rapid prototyping and familiar with Design of Experiments (DOEs)
• Excellent problem-solving abilities and a proactive mindset in addressing challenges
• Strong communication skills and experience collaborating with distributed cross-functional teams
• Strong organizational skills and a keen attention to detail

Preferred Qualifications

• Advanced degree (Ph.D./MBA)
• Deep passion for the intersection of HW+ML and pioneering innovative technologies
• Proficiency in Python and/or Swift programming languages
• Exceptional ability to prioritize tasks and thrive in fast-paced, dynamic environments
• Experience in crafting and delivering clear, audience-tailored communications
• Inquisitive mindset with a talent for simplifying complex concepts into actionable insights

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 $175,800 and $312,200, 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
• reimbursement for certain educational expenses - including tuition
• discretionary bonuses or commission payments
• relocation

AIML - Sr. ML Operations Engineer, BIG Job ID- 1001

AIML - Sr. ML Operations Engineer, BIG Job ID- 1001 Job ID- 3239