Senior Manager, Machine Learning Research Engineering (Computer Vision), SIML - ISE

Apple; Seattle (WA); On-site; USD 181,000 - 313,000; Full time

Job summary

An established industry player is seeking a dynamic Manager for Machine Learning Research Engineering. This role involves leading a team to innovate in multi-modal human sensing technologies, focusing on cutting-edge AI/ML models. You will drive the development of visual recognition systems and collaborate with cross-functional teams to translate product requirements into actionable plans. This position offers the chance to impact millions through intelligent experiences, while fostering a culture of research and innovation. Join a fast-paced, impactful organization where your leadership can shape the future of technology.

Benefits

Comprehensive medical coverage

Dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement

Discounted products and services

Discretionary bonuses

Relocation assistance

Qualifications

• Experience in leading high-performance teams and managing engineering projects.
• Proficient in Python and Pytorch or equivalent deep learning frameworks.

Responsibilities

• Lead a team to design and develop AI/ML models for human sensing.
• Communicate insights to stakeholders and mentor team members.

Skills

Python

Pytorch

Machine Learning

Computer Vision

Technical Leadership

Education

Bachelor's in Computer Science

Master's in Computer Science

Ph.D. in Computer Science

Tools

Deep Learning Frameworks

Job description

Manager, Machine Learning Research Engineering (Computer Vision), SIML - ISE

Seattle, Washington, United States Machine Learning and AI

Summary

Posted: Mar 17, 2025

Weekly Hours: 40

Role Number: 200577399

Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can! The System Intelligence Machine Learning (SIML) organization is looking for a hands-on, technically sound manager to lead a team of Research Engineers to develop next generation multi-modal human sensing technologies. You will be part of a fast paced, impact-driven Applied Research organization working on groundbreaking machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, and more.

Description

Multi-modal human sensing is a foundational capability that powers intelligent experiences based on key human traits such as identity, expression, clothing, action, gesture, gaze and human-object interaction. Our major Apple Intelligence experience such as personalized Natural Language Search, Memories Creation, as well as personalized Image Generation are powered by our ability to learn robust representations of visual human traits. This role focuses on growing and managing a team that designs and develops cutting-edge AI/ML models for human sensing, with a focus on building robust cross-domain identity recognition systems. As a manager, you will stay informed about the latest industry advancements, technologies, and best practices in machine learning and multi-modal foundation models, mentor team members, and foster collaboration with partner teams to develop and deliver impactful solutions.

THE TEAM’S KEY AREAS OF FOCUS INCLUDE:

1. Designing, implementing, and deploying state-of-the-art visual recognition systems.
2. Directly interacting with all cross-functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development.
3. Effectively communicating results and insights gained to partners and senior leaders, providing clear and actionable recommendations.
4. Actively contributing to ML community at the company by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners.

You will be a thought leader in the space with a demonstrable track record. There are exciting challenges and unsolved problems to explore.

Minimum Qualifications

1. Bachelors, Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience.
2. Validated technical leadership in the development of user-facing generative models or model-driven recognition systems.
3. Experience leading high-performance teams and demonstrated skills in managing sophisticated engineering and cross-functional projects.
4. Proficient in Python, Pytorch or equivalent DL frameworks.

Preferred Qualifications

1. Strong interpersonal and communication skills including ability to work in a self-directed environment and ability to present to senior management.
2. Background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful software developments.
3. Proven track record to design and implement solutions using modern ML architecture.
4. Proficient in Python, Pytorch or equivalent DL frameworks.

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 $181,000 and $313,000, 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.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.