Taro Logo

Machine Learning Engineer, Applied Machine Learning

A technology company that creates groundbreaking products, services, and customer experiences.
$143,100 - $264,200
Machine Learning
Mid-Level Software Engineer
In-Person
2+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:

Description For Machine Learning Engineer, Applied Machine Learning

Apple's Applied Machine Learning (AML) Data Science team is seeking a Machine Learning Engineer to join their innovative group of ML scientists and engineers. This role presents an exciting opportunity to work on high-impact projects that shape the industry and make a real-world difference.

As an ML Engineer, you'll be instrumental in bringing machine learning models to life by focusing on operationalization and productionalization. The position requires expertise in Python for backend development and integration, with opportunities to work on frontend development using ReactJS. You'll be working with large-scale datasets and deploying ML models into production environments.

The role offers a competitive base salary range of $143,100 to $264,200, along with comprehensive benefits including medical and dental coverage, retirement benefits, and various stock programs. Apple provides opportunities for professional growth through education reimbursement and the chance to work with cutting-edge technologies.

You'll be joining a diverse team with extensive experience in both academia and industry, working on projects that directly enhance user experiences and drive significant business outcomes. The position requires 2+ years of industry experience and strong problem-solving skills, with preferred qualifications including a Master's degree or PhD in Computer Science or related fields.

This is an excellent opportunity for someone who wants to work at the intersection of machine learning and software engineering, creating solutions that impact millions of users worldwide. You'll be part of a collaborative environment that values creativity, innovation, and technical excellence, while working on projects that push the boundaries of what's possible in machine learning applications.

The role combines technical challenges with business impact, requiring both strong engineering skills and the ability to work effectively in cross-functional teams. You'll be responsible for integrating various technologies, creating seamless user experiences, and ensuring that machine learning models are effectively deployed and maintained in production environments.

Working at Apple means being part of a company that's committed to pushing technological boundaries while maintaining high standards of quality and user experience. The position offers not just technical growth, but also the opportunity to shape the future of machine learning applications in one of the world's most influential technology companies.

Last updated 6 months ago

Responsibilities For Machine Learning Engineer, Applied Machine Learning

  • Build and deploy machine learning models into scalable web applications and backend services
  • Integrate various technologies to operationalize models
  • Collaborate with ML scientists and cross-functional partners
  • Articulate technical methodologies
  • Bring models into production environments
  • Create solutions that enhance user interactions and impact overall user experience

Requirements For Machine Learning Engineer, Applied Machine Learning

Python
React
  • Bachelor's degree or equivalent experience in Computer Science or related technical field
  • 2+ years of industry experience
  • Strong hands-on experience in software engineering, with expertise in Python for backend development and integration
  • Strong problem-solving skills and creativity in finding effective solutions
  • Ability to work in a cross-functional team

Benefits For Machine Learning Engineer, Applied Machine Learning

Medical Insurance
Dental Insurance
Education Budget
Equity
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Education reimbursement
  • Discretionary restricted stock unit awards
  • Employee Stock Purchase Plan with discount
  • Discretionary bonuses
  • Relocation benefits
  • Range of discounted products and free services

Interested in this job?