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Contract Apple Machine Learning Engineer Jobs in Goleta, CA

Prolim Global

Machinist 2 - CNC

Goleta, CA · On-site

$22 - $30.25/hr

Contract Clearance Required: None Travel Required: No Job Summary Prolim is seeking a skilled ... Familiarity with CNC mills and machine programming software such as Mastercam or CAM Works * Strong ...

PROLIM Global Corporation

Machinist 2 - CNC

Goleta, CA · On-site

$22 - $30.25/hr

Contract Clearance Required: None Travel Required: No Job Summary Prolim is seeking a skilled ... Familiarity with CNC mills and machine programming software such as Mastercam or CAM Works * Strong ...

Actalent

Mechanical Engineer

Santa Barbara, CA

$40 - $55/hr

Familiarity with common fabrication processes such as machining, sheet metal, molding, and additive ... Job Type & Location This is a Contract position based out of Goleta, CA. Pay and Benefits The pay ...

Actalent

Mechanical Engineer

Santa Barbara, CA · On-site

$40 - $55/hr

Familiarity with common fabrication processes such as machining, sheet metal, molding, and additive ... Job Type & Location This is a Contract position based out of Goleta, CA. Pay and Benefits The pay ...

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All JobsContract Apple Machine Learning Engineer JobsContract Apple Machine Learning Engineer Jobs in Goleta, CA

Contract Apple Machine Learning Engineer information

See Goleta, CA salary details

$34K

$138.9K

$208.8K

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

As of Aug 22, 2026, the average yearly pay for contract apple machine learning engineer in Goleta, CA is $138,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $167,200.00 per year, depending on experience, location, and employer.

What is a contract Apple machine learning engineer?

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.

What are the key skills and qualifications needed to thrive as a contract Apple machine learning engineer?

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.

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Staff Software Engineer - Investor/Owner

AppFolio

Goleta, CA • On-site

Full-time

Re-posted 4 days ago

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

185th of 246 rated software companies

Job description

Hi, We’re AppFolio.

 

We’re innovators, changemakers, and collaborators. We’re more than just a software company; we’re a cloud-based powerhouse that creates products to make our customers’ lives easier. We are an AI-first engineering organization, revolutionizing how people do business. We want your ideas, enthusiasm, and passion to help us keep innovating at the speed of the modern market.

 

Who we are looking for:

 

We are looking for a pioneering technical leader to join a young, high-growth, cross-functional product development team, and to help drive the engineering growth and evolution of our Investor segment. As a Staff Software Engineer, you will help us design and build best-in-class app experiences, transforming sophisticated business needs into robust, production-grade SaaS infrastructure and pages. The ideal candidate will thrive in a highly collaborative environment, applying the latest in generative AI-assisted techniques to build an innovative product for our customers, has a passion for building leading-edge software and is driven to help build a successful SaaS product used by our large and growing audience of property managers and owners, and who wants to hold themselves to the highest standard of technical excellence while mentoring others in a high-stakes, high-scale environment.

 

Key Responsibilities:
  • Drive the technical vision and strategy across the Owner subsegment, influencing the product roadmap and making key architectural decisions that align with business goals.
  • Lead the design and implementation of complex, distributed systems that power our next-generation products, preparing our systems for a 10x increase in traffic and engagement.
  • Act as a force multiplier by coaching engineers and fostering a high-trust, autonomous culture where continuous learning and ownership are the norms.
  • Collaborate as a peer with Product, Design, and Machine Learning leaders to bridge the gap between "what’s possible" in AI and "what’s valuable" for our customers.
  • Operate in a highly autonomous team that owns the full lifecycle of solutions you build, from discovery to development to production
  • Proactively research, share, and apply new technologies and patterns that improve system quality and accelerate delivery.
  • Use test-driven development, code reviews, and continuous integration to deliver high-quality software and rapidly fix bugs as they come up.


You know you’re the right fit if…
  • You have 8+ years of experience developing and scaling web-based applications, preferably in a SaaS environment.
  • You have a track record of leading high-stakes projects from initial ambiguity to successful launch–aligning stakeholders, making tough technical trade-offs, and ensuring long-term system health.
  • You have experience leading architectural discussions, defining system design, and guiding technical decision-making. 
  • You have proactively adopted AI tooling into your daily workflow. You don't just use these tools; you understand how to prompt, iterate, and validate AI-generated output to maintain the highest standards of excellence.
  • You take a pragmatic approach to technology, adopting new tools where they add value, while mastering proven technologies.
  • You care about long-term maintainability, advocate for clean architecture, and drive continuous refactoring and improvement. 
  • You balance intensity and sustainability—you’ll go the extra mile when needed but also model healthy work-life balance.
  • You have an ability to solve complex problems without a roadmap
  • You love to learn about and use new tech, but understand the value of continuing to leverage existing technology when it gets the job done.
  • You care about the long-term maintainability of the codebase and advocate for refactoring and code cleanliness.
  • You can identify and resolve code-smells through sensible refactoring.
  • You care about the long-term maintainability of the codebase and will learn to advocate for refactoring and clean-ups where appropriate.
  • You care about work-life balance and want your company to care about it, too; you'll put in the extra hour when needed but won't let it become a habit.

 

 Nice To Have
  • Bachelor’s, Master’s, or Ph.D. in Computer Science or related technical discipline.
  • Experience with technologies in our stack such as Ruby on Rails, Golang, React, AWS, or service-oriented architectures.
Compensation & Benefits      
The base salary that we reasonably expect to pay for this role is $167,200 - $209,000.      
The actual base salary for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, etc.       
Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses that you may be eligible for based on your role and/or employment type.
Regular full-time employees are eligible for benefits - see here
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