Entry Level Learning Business Partner Jobs
New grad learning business partner jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong internship background or portfolio of training projects can matter more than a lengthy resume. Most openings are a mix of on-site, remote, and hybrid roles across Technology & Software, Education, and Social Media, with employers like TikTok, Pinterest, and TikTok USDS Joint Venture hiring at this level now.
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Showing 5 of 187+ Entry Level Learning Business Partner jobs
SUMMARY
At Apple, we work every day to create products that enrich people's lives. Our Apple Ads group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in the App Store, Apple Maps, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. The Apple Ads Machine Learning Platform team's mission is to empower Ads teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results-oriented and versatile engineer who can excel in a fast-paced environment? You will work closely with ML engineers and scientists to design, develop, and build world-class platform capabilities that will enable Ads teams to improve and scale our ML features, models, and applications.
DESCRIPTION
The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ads teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solutions for the unique ad network challenges we face. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data. Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other's growth and supporting each other in delivering for our customers!
MINIMUM QUALIFICATIONS
- MS in Computer Science or related field with industrial internship experience in machine learning; or BS in Computer Science or related field with 2+ years of industrial engineering experience including 1+ years of machine learning experience
- Passionate about improving the developer experience for AI/ML practitioners
- Good understanding of the ML lifecycle: training, evaluation, deployment and serving/inferencing, with working experience building and deploying models
- Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow
- Strong problem solving, debugging and performance tuning skills
- Results oriented, with the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
PREFERRED QUALIFICATIONS
- Prior experience applying ML at scale in advertising, recommender systems, information retrieval or related domains
- Experience in advertising industry
- Good understanding of model evaluation, train-serve skew and data drift
- Product-minded with a proven ability to seek projects with a sense of ownership
- Experience with distributed training and/or optimizing large-scale models for low-latency serving
- Experience building infrastructure for diverse sets of model development use cases including LLMs, multimodal models, classical ML, and reinforcement learning.
- Experience building and/or operationalizing foundation models
- Experience with agentic AI
- Prior experience in privacy-preserving ML
COMPENSATION
- Base pay range for this role is between $129,300 and $194,700, 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. Learn more about Apple Benefits
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. Learn more about your EEO rights as an applicant
Apple believes 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
At Apple, we work every day to create products that enrich people's lives. Our Apple Ads group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in the App Store, Apple Maps, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. The Apple Ads Machine Learning Platform team's mission is to empower Ads teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results-oriented and versatile engineer who can excel in a fast-paced environment? You will work closely with ML engineers and scientists to design, develop, and build world-class platform capabilities that will enable Ads teams to improve and scale our ML features, models, and applications.
DESCRIPTION
The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ads teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solutions for the unique ad network challenges we face. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data. Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other's growth and supporting each other in delivering for our customers!
MINIMUM QUALIFICATIONS
- MS in Computer Science or related field with industrial internship experience in machine learning; or BS in Computer Science or related field with 2+ years of industrial engineering experience including 1+ years of machine learning experience
- Passionate about improving the developer experience for AI/ML practitioners
- Good understanding of the ML lifecycle: training, evaluation, deployment and serving/inferencing, with working experience building and deploying models
- Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow
- Strong problem solving, debugging and performance tuning skills
- Results oriented, with the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
PREFERRED QUALIFICATIONS
- Prior experience applying ML at scale in advertising, recommender systems, information retrieval or related domains
- Experience in advertising industry
- Good understanding of model evaluation, train-serve skew and data drift
- Product-minded with a proven ability to seek projects with a sense of ownership
- Experience with distributed training and/or optimizing large-scale models for low-latency serving
- Experience building infrastructure for diverse sets of model development use cases including LLMs, multimodal models, classical ML, and reinforcement learning.
- Experience building and/or operationalizing foundation models
- Experience with agentic AI
- Prior experience in privacy-preserving ML
COMPENSATION
- Base pay range for this role is between $129,300 and $194,700, 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. Learn more about Apple Benefits
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. Learn more about your EEO rights as an applicant
Apple believes 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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Find JobsEntry Level Learning Business Partner Job Market
Who's Hiring
- TikTok17
- Pinterest14
- TikTok USDS Joint Venture7
- Qualcomm5
- Apple4
Top Industries Hiring
- Technology & Software72
- Education21
- Social Media13
- Science & Research13
- Electronics & Hardware13
Entry Level Learning Business Partner Jobs: Frequently Asked Questions
How do I get an entry level learning business partner job?
Employers at this level look for candidates who can demonstrate practical exposure to learning design, facilitation, or HR, even through internships, volunteer training projects, or academic coursework. A portfolio showing a training module, needs assessment, or onboarding program you helped build gives you a concrete edge. Familiarity with learning management systems and strong communication skills are consistently valued in entry level postings.
Which companies hire entry level learning business partners?
Companies hiring entry level learning business partners right now include TikTok, Pinterest, and TikTok USDS Joint Venture, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a range of employers, including large corporations building out their talent development teams and mid-size organizations that need a junior partner to support training coordination and program delivery.
Are there remote entry level learning business partner jobs?
Yes, though the mix varies by employer and function. About 18% of entry level learning business partner openings are remote or hybrid as of November 2026, reflecting strong demand for flexible work in this field. Many entry level roles that require facilitation or in-person onboarding support are still on-site, so checking the work setting on each posting is worth doing.
Are these new grad learning business partner jobs?
Yes, many of these postings are new grad and junior roles that explicitly welcome recent graduates and candidates with little or no professional experience. A new grad-friendly posting typically calls for zero to two years of experience, accepts internships or practicum work as qualifying background, or invites candidates who can demonstrate relevant skills through a portfolio rather than a long work history.
Which industries hire the most entry level learning business partners?
Entry Level learning business partner roles concentrate in Technology & Software, Education, and Social Media, based on current listings on Migrate Mate as of November 2026. These sectors drive junior hiring because they have large, distributed workforces that require ongoing onboarding, compliance training, and skills development, creating steady demand for entry level talent development support.