Machine Learning Engineer, Search & Knowledge Quality
AppleAbout the role
Jobs/Machine Learning Engineer, Search & Knowledge Quality
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Machine Learning Engineer, Search & Knowledge Quality
Machine Learning Engineer, Search & Knowledge Quality
Apple
Machine Learning Engineer, Search & Knowledge Quality
Apple
Location
Santa Clara, CA, Seattle, WA
Type
Full-time
Posted
8/29/2026
Compensation
Not listed
Undergraduate with 2+ Years of Experience
H-1B FY202699.0% approval1,065 approvals9,221 LCA5.6% entry-level+30% YoY
👑 Elite sponsor
Job Description
The Search and Knowledge Quality team is focused on enhancing user interactions with devices through advanced machine learning techniques. This Applied Machine Learning team is dedicated to improving query understanding, document ranking, and generating high-quality answers. The role involves end-to-end ownership of features within the Siri Search system, collaborating with experts across various locations. The team aims to deliver impactful solutions at scale across Apple products.
Requirements
BSc or Masters degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or a related field.
3+ years of industry-related experience in collaborative environments.
Experience with programming skills in Python, C/C++, and GoLand.
Experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn, and Scikit-learn.
Familiarity with integrating ML solutions into production systems and existing workflows at scale.
Experience with CI/CD workflows and ML pipelines.
Excellent written and verbal communication skills.
Strong problem-solving skills and ability to work independently as well as in a team environment.
Ph.D. in a related field is preferred.
Experience with state-of-the-art ML methodologies, including LLM fine-tuning and neural network optimization.
Responsibilities
Leverage and advance state-of-the-art LLM and ML techniques to understand user queries and intent.
Improve document ranking and generate high-quality answers.
Take end-to-end ownership of features within the Siri Search system from ideation through production deployment.
Collaborate with industry-leading experts and cross-functional teams across multiple geographies.
Tackle complex challenges at scale.
Ensure experimental rigor when training and evaluating LLMs for benchmarking optimization algorithms.
Benefits
Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.
H-1B filing history
Public USCIS petition and DOL LCA counts
latest USCIS FY2026, LCA FY2026
Filing entity: Apple Inc
As of Jul 17, 2026
Initial approvals
1,065
FY2026
Approval rate
99.0%
FY2026
LCA certified
9,221
FY2026
Entry-level share
5.6%
FY2026
Initial approvals YoY
+30%
Trend
LCA certified YoY
35%
Trend
Initial approvals by fiscal year
FY2022 FY2024 FY2026 0 300 600 900 1200
Approval rate by fiscal year
FY2022 FY2023 FY2024 FY2026 0% 25% 50% 75% 100%
Continuing vs initial approvals
FY2022 FY2024 FY2026 0 1500 3000 4500 6000
Initial
Continuing
LCA certified positions by quarter
2022-Q1 2023-Q2 2024-Q3 2026-Q2 0 2500 5000 7500 10000
LCA certified positions by fiscal year
FY2022 FY2023 FY2024 FY2025 FY2026 0 4000 8000 12000 16000
Based on public USCIS and DOL filings; not a sponsorship guarantee.
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Machine Learning Engineer, Search & Knowledge Quality
Apple
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At a glance
Santa Clara, CA, Seattle, WA
Full-time
8/29/2026
Not listed
Responsibilities
- Leverage and advance state-of-the-art LLM and ML techniques to understand user queries and intent
- Improve document ranking and generate high-quality answers
- Take end-to-end ownership of features within the Siri Search system from ideation through production deployment
- Collaborate with industry-leading experts and cross-functional teams across multiple geographies
- Tackle complex challenges at scale
- Ensure experimental rigor when training and evaluating LLMs for benchmarking optimization algorithms
Qualifications
- BSc or Masters degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or a related field
- 3+ years of industry-related experience in collaborative environments
- Experience with programming skills in Python, C/C++, and GoLand
- Experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn, and Scikit-learn
- Familiarity with integrating ML solutions into production systems and existing workflows at scale
- Experience with CI/CD workflows and ML pipelines
- Excellent written and verbal communication skills
- Strong problem-solving skills and ability to work independently as well as in a team environment
Benefits
- Flexible medical plans
- Confidential counseling
- Onsite wellness centers at major campuses
- Resources for fitness and daily life
- Fertility support
- Paid parental leave with gradual return
- Caregiving leave
- Dependent-care guidance
- Stock grants with purchase discounts
- 401(k) matching
- Income-protection coverage
- Robust time off
Skills mentioned
About Apple
H1BConnect is a job platform built to help international engineering students and professionals spend less time researching companies’ visa sponsorship policies and more time applying. We track and organize roles at companies that have a history of hiring international talent and can support work authorization through OPT/CPT and, when needed, H-1B sponsorship. These companies are seeking great talent, and they are willing to invest in the right people regardless of nationality. Our mission is simple: make visa-related job searches transparent, so you can focus on the roles you are eligible for and apply with confidence.