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Contract Apple Machine Learning Engineer Jobs in Minnesota

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site +1

We're looking for a Principal Machine Learning Engineer to build AI features for the family. Qualifications: * A confident craftsperson who possesses problem-solving tools and can discuss multiple ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

We're looking for a Principal Machine Learning Engineer to build AI features for the family. Qualifications: * A confident craftsperson who possesses problem-solving tools and can discuss multiple ...

Deloitte

AI Solutions Architect

Minneapolis, MN

$65.75 - $86.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

Senior AI Engineer - SFL Scientific

Minneapolis, MN

$109K - $149K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Thomson Reuters

Lead Research Engineer

Eagan, MN · On-site

$104K - $137K/yr

We hire engineers and specialists across a variety of AI research areas to drive the company ... Experience integrating Machine Learning solutions into production-grade software with a sound ...

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All JobsContract Apple Machine Learning Engineer JobsContract Apple Machine Learning Engineer Jobs in Minnesota

Contract Apple Machine Learning Engineer information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as a senior machine learning engineer or AI research scientist, often in leading tech companies. These roles usually require advanced skills in deep learning, data analysis, and experience with tools like TensorFlow or PyTorch, and may include performance-based bonuses or stock options that contribute to the total compensation.

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.

Which 3 jobs will survive AI?

For a Contract Apple Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction—such as AI ethics specialists, creative designers, and strategic consultants—are less likely to be fully replaced by AI. These jobs often involve nuanced judgment, emotional intelligence, and domain expertise that AI cannot replicate easily.

Will MLE be replaced by AI?

As a Contract Apple Machine Learning Engineer, the role involves designing and implementing ML models, which AI systems currently support but do not fully replace. Human expertise in model development, data analysis, and system integration remains essential, especially for complex tasks and ethical considerations. AI tools can augment the work of MLEs but are unlikely to fully replace the need for skilled engineers in the near future.

How much does Apple pay machine learning engineers?

Apple pays machine learning engineers an average salary ranging from $120,000 to $180,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring expertise in deep learning, data analysis, and programming in Python or Swift.

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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Contract Apple Machine Learning Engineer jobs near you
Infographic showing various Contract Apple Machine Learning Engineer job openings in Minnesota as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 50% Physical, and 50% Remote job distribution.
Principal AI / ML Engineer

Principal AI / ML Engineer

NxT Level

Minneapolis, MN • On-site, Remote

Other

Medical, Retirement, PTO

Re-posted 16 days ago

Job description

Our client is a digital consumer product. They're building social features using LLMs and Machine Learning to add to user experience. We're looking for a Principal Machine Learning Engineer to build AI features for the family.

Qualifications:

  • A confident craftsperson who possesses problem-solving tools and can discuss multiple approaches while preferring the best approach given the constraints.
  • A scientific artist and artistic scientist who can navigate complexity and bring clarity to intricate problems while appreciating simplicity as the highest sophistication.
  • A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental improvements toward ambitious goals.
  • An advocate for team collaboration and open communication.
  • Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques.
  • Significant experience in AI/ML engineering with a strong data science background.
  • Demonstrated ability in designing and training LLMs.
  • Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications.
  • Proficiency with AWS Bedrock and Comprehend.
  • Demonstrated leadership in AI/ML solutions in a commercial environment.
  • Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration and processing.
  • Proven ability to lead and inspire teams of senior engineers and data scientists.
  • Effective individual contributor within a collaborative team environment.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities:

  • Collaborate with the Data team to transform Data Lakehouse potential into actionable insights and services that enhance user experiences.
  • Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science principles.
  • Implement technologies in AWS and Databricks for handling and processing large datasets for advanced language model training.
  • Lead data science practices, including model selection and training methodology.
  • Build, train, manage, and host LLMs using Data Lakehouse data.
  • Optimize AI system performance through testing and tuning, leveraging data science and Databricks methodologies.
  • Ensure ethical standards and data privacy compliance in AI solutions.
  • Provide specialized AI/ML expertise to guide the development and optimization of AI features.
  • Stay updated on the latest AI/ML and data science trends, especially in LLMs and AWS, Databricks/Apache Spark technology.

Benefits:

  • Full Medical Coverage: OFW covers 100% of premiums for employees and their families.
  • 401k: Up to a 4% match with immediate vesting.
  • 12 weeks of paid leave for all new parents.
  • Learning & Development stipend for employees.
  • Supportive and flexible working environment, allowing remote work from anywhere.

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