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Contract Apple Machine Learning Engineer Jobs in Dallas, OR

Bespoke Labs

Machine Learning Engineer

Salem, OR · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: * As a technical lead, you will ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: * As a technical lead, you will ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Build and maintain machine learning models and AI services used in production environments * Design ... Support enterprise data governance by partnering with data owners to define data contracts and ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Build and maintain machine learning models and AI services used in production environments * Design ... Support enterprise data governance by partnering with data owners to define data contracts and ...

OptiTrack

Associate Software Engineer

Corvallis, OR

We are looking for a talented and motivated Associate Software Engineer to join our development ... Knowledge of machine learning or artificial intelligence. Familiarity with game engines such as ...

OptiTrack

Associate Software Engineer

Corvallis, OR · On-site

We are looking for a talented and motivated Associate Software Engineer to join our development ... machine learning or artificial intelligence. • Familiarity with game engines such as Unreal ...

OptiTrack

Associate Software Engineer

Corvallis, OR · On-site

We are looking for a talented and motivated Associate Software Engineer to join our development ... of machine learning or artificial intelligence. · Familiarity with game engines such as Unreal ...

SAIC

Deskside support Engineer

Salem, OR

Perform repairs on Apple computer and iOS hardware and software. Understanding of the MAC OS ... Installation and configuration of new machines in a Windows environment * Smart cards / PIV cards ...

SAIC

Deskside support Engineer

Salem, OR · On-site

Perform repairs on Apple computer and iOS hardware and software. Understanding of the MAC OS ... Installation and configuration of new machines in a Windows environment * Smart cards / PIV cards ...

SAIC

Deskside support Engineer

Salem, OR · On-site

Perform repairs on Apple computer and iOS hardware and software. Understanding of the MAC OS ... Installation and configuration of new machines in a Windows environment * Smart cards / PIV cards ...

INTEL

WATD Module Development Engineer

Lafayette, OR

$148K - $209K/yr

... machine learning techniques to enhance process stability and enable continuous improvement ... Minimum Qualifications - Bachelor's degree in Materials Science, Mechanical Engineering, Chemical ...

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All JobsContract Apple Machine Learning Engineer JobsContract Apple Machine Learning Engineer Jobs in Dallas, OR

Contract Apple Machine Learning Engineer information

See Dallas, OR salary details

$31.6K

$129K

$193.8K

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

As of Jul 16, 2026, the average yearly pay for contract apple machine learning engineer in Dallas, OR is $128,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $155,300.00 per year, depending on experience, location, and employer.

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.
Contract Apple Machine Learning Engineer jobs near you

Machine Learning Engineer

Bespoke Labs

Salem, OR • On-site

Full-time

Posted 29 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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