Senior Level Learning Coordinator Jobs
Senior level learning coordinator jobs place experienced professionals in charge of curriculum strategy, program outcomes, and the teams or initiatives that deliver learning at scale. Openings are split across on-site, remote, and hybrid settings in Technology & Software, Biotechnology & Pharmaceuticals, and Electronics & Hardware, with employers like Unity Technologies, Apple, and Plaid hiring at this level now.
Find JobsOverview
Showing 5 of 191+ Senior Level Learning Coordinator jobs
SUMMARY
Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful. Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection. Our computer vision and machine learning (CVML) team of researchers and engineers tackle previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in machine learning systems. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily. Are you prepared to make a lasting impact on the future of technology?
DESCRIPTION
We seek a proactive Senior Machine Learning Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users. In this role, you will collaborate closely with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models. Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.
MINIMUM QUALIFICATIONS
- B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
- Strong experience in Python.
- Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.
PREFERRED QUALIFICATIONS
- M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields.
- Working experience in C++ or Swift.
- Excellent math skills, including linear algebra, computational science and optimization.
- Creativity and curiosity for solving highly complex problems.
- Excellent communication and collaboration skills.
- An interest in incubating ideas and taking them to finish.
- Experience with iOS/macOS development.
- Experience shipping algorithms or publishing in top tier CVML conferences.
COMPENSATION
- Base pay range for this role is between $184,700 and $324,800, 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 seek to promote 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.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful. Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection. Our computer vision and machine learning (CVML) team of researchers and engineers tackle previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in machine learning systems. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily. Are you prepared to make a lasting impact on the future of technology?
DESCRIPTION
We seek a proactive Senior Machine Learning Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users. In this role, you will collaborate closely with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models. Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.
MINIMUM QUALIFICATIONS
- B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
- Strong experience in Python.
- Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.
PREFERRED QUALIFICATIONS
- M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields.
- Working experience in C++ or Swift.
- Excellent math skills, including linear algebra, computational science and optimization.
- Creativity and curiosity for solving highly complex problems.
- Excellent communication and collaboration skills.
- An interest in incubating ideas and taking them to finish.
- Experience with iOS/macOS development.
- Experience shipping algorithms or publishing in top tier CVML conferences.
COMPENSATION
- Base pay range for this role is between $184,700 and $324,800, 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 seek to promote 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.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
See All 191+ Senior Level Learning Coordinator Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsSenior Level Learning Coordinator Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software93
- Biotechnology & Pharmaceuticals13
- Electronics & Hardware11
- Consulting & Professional Services10
- Automotive7
Senior Level Learning Coordinator Jobs: Frequently Asked Questions
How do I get a senior level learning coordinator job?
Employers at this level look for candidates who have owned the full learning lifecycle, from needs analysis through evaluation, not just delivered training. Demonstrating experience leading cross-functional projects, managing vendor relationships, or mentoring junior coordinators gives you a clear edge. A portfolio showing measurable outcomes, such as improved completion rates or reduced onboarding time, strengthens your case more than credentials alone.
Which companies hire senior level learning coordinators?
Companies hiring senior level learning coordinators right now include Unity Technologies, Apple, and Plaid, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from larger organizations, healthcare systems, financial institutions, and professional services firms with complex, ongoing workforce development needs.
Are there remote senior level learning coordinator jobs?
Yes, though availability varies by employer and function. About 38% of senior level learning coordinator openings are remote or hybrid as of November 2026, reflecting how many organizations now manage distributed learning teams and deliver programs through digital platforms. Roles tied to in-person facilitation or site-specific onboarding are more likely to require an on-site presence.
What makes a learning coordinator role senior level?
Senior level learning coordinator roles go beyond scheduling and logistics to encompass program ownership, strategic alignment with business goals, and accountability for learning outcomes across an organization or department. These roles typically involve leading projects independently, collaborating with senior stakeholders, and mentoring or directing junior staff, rather than executing tasks assigned by others.
Which industries hire the most senior level learning coordinators?
Senior Level learning coordinator roles concentrate in Technology & Software, Biotechnology & Pharmaceuticals, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors tend to drive hiring at this level because they operate at scale, face ongoing compliance or credentialing requirements, or manage large, geographically distributed workforces that depend on structured, continuous learning programs.