This role pays more than
72%
of similar roles. Most pay
$164,262–$240,109
— the shaded band above.
At the midpoint, this role pays about
$231k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3553 open roles
on FindRole.
Listed pay typically runs
$165,800–$277,600
across 2740 roles with salary data.
Sr.Software Engineer (Machine Learning), Ops & Sales Engineering joins the Advanced Analytics team within the Information Systems and Technology organization. This role focuses on applying Generative AI and Machine Learning technologies to solve complex supply chain challenges, such as demand forecasting, inventory optimization, and logistics planning. You will design and develop advanced models, collaborate with cross-functional teams to integrate analytics into enterprise systems, and guide data strategy for large-scale deployments. The ideal candidate possesses expertise in Python, C++, TensorFlow, or PyTorch, along with deep knowledge of NLP, large language models, and agentic systems. Technical skills also include experience with SQL, Spark, graph databases, and MLOps. You will navigate the complexities of global supply chain operations by building scalable, high-ROI solutions that address critical business problems within a massive enterprise infrastructure.
What does a Software Engineer earn in California?
Median $214000 from 869 postings across 70 companies.
Design and develop advanced machine learning models, specifically focusing on Generative AI, for supply chain use cases like demand forecasting and inventory optimization.
Integrate analytics solutions into existing enterprise systems by collaborating with engineering and application development teams.
Identify high-ROI opportunities for GenAI over a multi-year horizon to deliver critical projects.
Guide partner teams to establish data strategies and infrastructure that support experimentation and large-scale deployment.
Communicate technical results and insights to both technical and non-technical senior leaders to influence decision-making.
Provide mentorship to team members and contribute to the overall growth of the analytics team.
Ensure all machine learning solutions are scalable and robust enough for complex enterprise environments.
What we're looking for
MS in Computer Science, Machine Learning, Applied Math, or a related field.
5+ years of industry experience developing Machine Learning Solutions.
Hands-on experience with Python as a programming language.
Experience deploying ML solutions to production.
PhD in Computer Science, Machine Learning, Applied Mathematics, or a related field (preferred).
10+ years of experience building and deploying production machine learning systems using Python, C++, TensorFlow, or PyTorch (preferred).
Deep expertise in ML, deep learning, NLP, anomaly detection, LLMs, and Generative AI (preferred).
Experience with scalable data/ML infrastructure including SQL, Spark, graph databases, cloud platforms, and MLOps (preferred).
Machine Learning
Natural Language Processing
PyTorch
TensorFlow
JAX
Python
Go
Java
C++
Computer Vision
Deep Learning
Content Moderation
Adversarial Training
Search Ranking
Information Retrieval
Multimodal Content Filtering
Machine Learning
Natural Language Processing
PyTorch
TensorFlow
JAX
Python
Go
Java
C++
Computer Vision
Deep Learning
Search Ranking
Retrieval Pipelines
Adversarial Training
Content Moderation
Red-teaming
Machine Learning
Natural Language Processing
PyTorch
TensorFlow
JAX
Python
Go
Java
C++
Computer Vision
Deep Learning
Content Moderation
Adversarial Training
Search Ranking
Information Retrieval
Machine Learning
Natural Language Processing
PyTorch
TensorFlow
JAX
Python
Go
Java
C++
Computer Vision
Deep Learning
Content Moderation
Adversarial Training
Search Ranking
Information Retrieval
Multimodal Content Filtering