Senior Apps Applied Scientist

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $181,100–$318,400 / yr
Posted: 45 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k

This role $250k

$104k most similar roles pay here $341k

This role pays more than 92% of similar roles. Most pay $142,400–$201,700 — the shaded band above. At the midpoint, this role pays about $250k versus about $172k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Senior Apps Applied Scientist

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Join our dynamic team as a Senior Machine Learning Engineer, where you will play a pivotal role in developing cutting-edge AI solutions that drive innovation across various product areas. Your day-to-day responsibilities include designing and implementing machine learning models to solve complex business problems, collaborating with cross-functional teams to integrate these models into scalable systems, and continuously refining algorithms for improved performance. Proficiency in Python, along with experience in frameworks like TensorFlow or PyTorch, is essential. Strong skills in data analysis, model evaluation, and cloud platforms such as AWS or Azure are highly valued. This role involves working on large-scale datasets to enhance user experiences and optimize operational efficiency within a fast-paced environment.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD Git PostgreSQL MongoDB Scikit-learn Pandas NumPy Jupyter Swagger RESTful APIs GraphQL

What you'll do

Develop and implement machine learning models to enhance product features.
Analyze large datasets to identify patterns and trends for business insights.
Continuously improve model accuracy through iterative testing and refinement.
Stay updated with the latest advancements in AI and machine learning techniques.
Optimize algorithms for efficient use of computing resources.

What we're looking for

5+ years of experience in machine learning or artificial intelligence.
Strong background in data science and statistical analysis techniques.
Proficiency in Python, R, or similar programming languages for AI projects.
Experience with cloud platforms like AWS, Azure, or Google Cloud for ML.
Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field.

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