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Contract Apple Machine Learning Engineer Jobs in Nevada

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site +1

$117K - $154K/yr

About the Role We're looking for a Senior Machine Learning Engineer to join our team during an exciting phase of growth. In this role, you'll be responsible for building and operating the core ...

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site

$117K - $154K/yr

About the Role We're looking for a Senior Machine Learning Engineer to join our team during an exciting phase of growth. In this role, you'll be responsible for building and operating the core ...

Varsity Tutors

Machine Learning Tutor

North Las Vegas, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Henderson, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Las Vegas, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Virtusa Corporation

AI Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

Required Skills and Experience Proven experience as an AI Architect, Machine Learning Engineer, or similar role focused on Agentic AI or Autonomous Systems.Vertex AI BigQuery Cloud Functions Google ...

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Contract Apple Machine Learning Engineer information

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.

What are popular job titles related to Contract Apple Machine Learning Engineer jobs in Nevada?

For Contract Apple Machine Learning Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Contract Apple Machine Learning Engineer jobs in Nevada look for?

The top searched job categories for Contract Apple Machine Learning Engineer jobs in Nevada are:

What cities in Nevada are hiring for Contract Apple Machine Learning Engineer jobs?

Cities in Nevada with the most Contract Apple Machine Learning Engineer job openings:

Contract Apple Machine Learning Engineer jobs near you
Infographic showing various Contract Apple Machine Learning Engineer job openings in Nevada as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Machine Learning Engineer

Las Vegas, NV • On-site, Remote

TensorWave
See more jobs at TensorWaveexternal

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
We're looking for a Senior Machine Learning Engineer to join our team during an exciting phase of growth. In this role, you'll be responsible for building and operating the core systems that power large-scale ML training and inference across TensorWave's GPU platform, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
What You'll Do
  • Design, operate, and improve ML infrastructure systems supporting distributed training and inference workloads
  • Build reliable, repeatable workload execution and orchestration patterns across shared GPU environments
  • Troubleshoot performance, reliability, and scalability issues across the ML stack
  • Partner with ML, systems, and platform teams to improve developer experience and operational efficiency

Who You Are
Required Qualifications
  • Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
  • Expertise supporting production ML systems using SLURM and Kubernetes
  • Strong understanding of GPU-accelerated workloads and distributed systems concepts
  • Solid Linux fundamentals and experience debugging infrastructure-level issues
  • Ability to build automation and tooling - Python, Go, etc.

Preferred Qualifications
  • Experience working across schedulers, orchestration platforms, or cluster managers
  • Familiarity with large-scale GPU environments or HPC-style systems
  • Experience improving infrastructure reliability, utilization, or performance at scale

What We Offer
  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Life and Voluntary Supplemental Insurance Options
  • Other Insurance Options, such as Pet & Legal Insurance
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • 401(k)
  • Employee Assistance Program
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Other In-Office Perks

Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

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