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Contract Apple Machine Learning Engineer Jobs (NOW HIRING)

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$181.10K - $272.10K/yr

Sr. Machine Learning Engineer The Answers, Knowledge and Information Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including ...

Apple

Machine Learning Engineer - MLR

Cupertino, CA · On-site

$181.10K - $318.40K/yr

Machine Learning Engineer - MLR Play a part in building the next revolution of machine learning ... Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined ...

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA · On-site

$139.50K - $258.10K/yr

AIML - Machine Learning Engineer, MIND As a Machine Learning Engineer in the Machine Intelligence ... The team is well positioned for strategic contributions in the short-term (on well-known Apple ...

Apple

Machine Learning Engineer - Health AIML

Cupertino, CA · On-site

$212K - $386.30K/yr

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and ...

Apple

Senior Machine Learning Engineer

Seattle, WA · On-site

$181.10K - $318.40K/yr

The people here at Apple don't just create products -- they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

Apple

Machine Learning Engineer- GenAI

Cupertino, CA · On-site

$147.40K - $272.10K/yr

Machine Learning Engineer- GenAI Imagine what you could do here ... At Apple, we believe new insights have a way of becoming excellent products, services, and customer ...

Apple

Senior Machine Learning Engineer

Cupertino, CA · On-site

$181.10K - $318.40K/yr

The people here at Apple don't just create products -- they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121.40K - $160K/yr

The people here at Apple don't just create products -- they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

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All JobsContract Apple Machine Learning Engineer Jobs

Contract Apple Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do contract apple machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for contract apple machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Apple Machine Learning Engineer, and why are they important?

To thrive as a Contract Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and deep learning, typically with a relevant degree and experience in building ML models. Proficiency with Python, TensorFlow or PyTorch, Apple's Core ML framework, and version control systems is commonly required. Strong problem-solving skills, collaboration, and effective communication help you navigate project requirements and work with cross-functional teams. These skills and experiences are crucial for delivering high-quality, scalable machine learning solutions that align with Apple's standards and rapidly evolving technology needs.

What are the common challenges faced by Contract Apple Machine Learning Engineers when integrating ML models into Apple’s ecosystem?

Contract Apple Machine Learning Engineers often encounter challenges such as ensuring seamless integration of machine learning models with Apple’s proprietary platforms like iOS, macOS, or Core ML. Adapting to Apple’s strict security, privacy standards, and performance requirements is essential, as is optimizing models for real-time performance on Apple devices. Collaborating effectively with cross-functional teams—such as software developers, designers, and QA engineers—is crucial to deliver scalable and user-friendly ML features within project timelines.

What are Contract Apple Machine Learning Engineers?

Contract Apple Machine Learning Engineers are professionals hired on a temporary or project basis to develop and implement machine learning models and algorithms specifically for Apple’s products and platforms. They typically work on tasks such as optimizing machine learning workflows for iOS, macOS, or other Apple technologies, and may collaborate closely with Apple’s in-house teams. Their responsibilities can include data preprocessing, model training, evaluation, and integration into Apple’s ecosystem. These engineers are expected to have expertise in machine learning frameworks, programming languages like Python or Swift, and a strong understanding of Apple’s development tools. Contract roles often provide flexibility but may require quick adaptation to Apple’s proprietary systems and high standards.
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What cities are hiring for Contract Apple Machine Learning Engineer jobs? Cities with the most Contract Apple Machine Learning Engineer job openings:
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Contract Apple Machine Learning Engineer jobs near you
Infographic showing various Contract Apple Machine Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 79% Full Time, 10% Part Time, 7% Contract, and 1% Nights. Highlights an 57% Physical, and 43% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Machine Learning Engineer (MLOps), Evaluation

Machine Learning Engineer (MLOps), Evaluation

Apple

Cupertino, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Role Number: 200655674-0836

Summary

We are seeking a highly experienced Machine Learning Engineer to build, deploy, and optimize Large Language Model (LLM)-based applications, with a strong emphasis on MLOps/LLMOps (LLM operations) and scalable production systems. At Apple, we believe in creating technology that enriches lives and empowers creativity. You’ll play a pivotal role in developing Apple Intelligence, driving the next generation of groundbreaking products across all Apple platforms.

Description

The team is a growing group that works closely with product, ML research, Data Science and infrastructure teams, to ensure the successful delivery of Apple Foundation models and Apple Intelligence evaluations. We are looking for a Machine Learning Engineer focusing on MLOps/LLMOps infrastructure to build a next generation LLM-powered evaluation systems. In this role, you will be instrumental in scaling our internal evaluation platform, building automation and self-service tools, and ensuring the reliability and efficiency of large-scale LLM services. You will have the opportunity to create huge impacts across all AI products through innovations.

Minimum Qualifications

  • 4+ years in software engineering with experience in large-scale software system design and implementation.

  • Proven track record of shipping production-grade ML/LLM systems.

  • Strong understanding of LLMs, fine-tuning, prompt engineering, vector databases and RAG patterns.

  • Experience with distributed systems, databases (SQL/NoSQL), cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).

  • Ability to tackle complex challenges, think critically, and deliver innovative solutions.

  • Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.

  • Bachelor’s degree in Computer Science, Engineering, or a related field.

Preferred Qualifications

  • Hands-on experience with observability and evaluation tools for LLMs.

  • Solid understanding of machine learning algorithms, model evaluation metrics, and data processing pipelines.

  • Previous experience in a high-growth tech company or similar environment.

  • Active participation in open-source projects related to AI/ML or backend development.

  • Master or Ph.D. in a related field.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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