Senior Level Learning and Development Trainer Jobs
Senior level learning and development trainer jobs put experienced professionals in charge of curriculum strategy, program ownership, and the teams and stakeholders who execute learning at scale. Hiring is spread across on-site, hybrid, and remote settings in Technology & Software, Biotechnology & Pharmaceuticals, and Electronics & Hardware, with employers like Unity Technologies, Apple, and Plaid hiring at this level now.
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Showing 5 of 191+ Senior Level Learning and Development Trainer 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.
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Who's Hiring
Top Industries Hiring
- Technology & Software93
- Biotechnology & Pharmaceuticals13
- Electronics & Hardware11
- Consulting & Professional Services10
- Automotive7
Senior Level Learning and Development Trainer Jobs: Frequently Asked Questions
How do I get a senior level learning and development trainer job?
Employers at this level look for demonstrated ownership of end-to-end learning programs, not just delivery experience. Strong candidates can point to measurable outcomes, such as improved performance metrics or reduced onboarding time, that resulted from programs they designed. Experience mentoring junior trainers, managing stakeholder relationships, and aligning learning strategy to business goals gives candidates a clear edge over those with delivery experience alone.
Which companies hire senior level learning and development trainers?
Companies hiring senior level learning and development trainers 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 large enterprises, consulting firms, and healthcare and technology organizations that run structured learning functions and need experienced professionals to lead them.
Are there remote senior level learning and development trainer jobs?
Yes, remote and hybrid options are well represented at the senior level. About 38% of senior level learning and development trainer openings are remote or hybrid as of November 2026, reflecting how many organizations now run enterprise learning programs across distributed workforces. Senior roles that require close collaboration with executive stakeholders are more likely to require some on-site presence.
What makes a learning and development trainer role senior level?
Senior level roles are defined by program ownership, strategic scope, and leadership responsibility. Where a mid-level trainer typically delivers or supports existing programs, a senior professional designs curriculum from the ground up, owns learning outcomes across a function or business unit, and mentors other trainers. Influencing learning strategy, managing cross-functional projects, and presenting to senior leadership are common expectations at this stage.
Which industries hire the most senior level learning and development trainers?
Senior level learning and development trainer 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 invest heavily in structured talent development, compliance training, and leadership pipelines, creating consistent demand for experienced professionals who can build and scale learning programs at an organizational level.