AI/ML - Machine Learning Engineer, Evaluation

2 Months ago • 1 Years + • $139,500 PA - $258,100 PA
Research Development

Job Description

This role involves designing, developing, and maintaining end-to-end web applications and data pipelines to support evaluation workflows for GenAI models. You will work across the full technology stack, including frontend, backend, data, infrastructure, and deployment pipelines, to deliver scalable, reliable, and secure solutions. The ideal candidate is adept at switching between hands-on coding, system architecture discussions, and operational troubleshooting, and is passionate about improving Apple product quality by exploring cutting-edge AI techniques.
Good To Have:
  • AWS resources experience (S3, EC2, EKS)
  • CI/CD pipeline experience (Jenkins)
  • Git and IDE experience
  • Docker and Kubernetes experience
  • Generative AI and LLM support experience
Must Have:
  • Bachelor's degree in CS/Eng or equivalent experience
  • 1+ year of Python application development
  • Proficiency in Python with libraries like Pandas, Streamlit, Flask/Django
  • Experience with data processing pipelines and command-line navigation
  • SQL database experience
  • Strong problem-solving and communication skills
Perks:
  • Employee stock programs
  • Discretionary restricted stock unit awards
  • Discounted Apple stock purchase
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Tuition reimbursement

Add these skills to join the top 1% applicants for this job

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Do you get excited by building ML/AI applications to enhance the evaluation of Apple AI products? Our organization, Data Science & Insights team, is dedicated to guiding product development, decisions and strategies through principled evaluation and rigorous analysis. You will partner with various engineers and data scientists to enable and scale these evaluations and analysis. If you thrive in a dynamic environment, enjoy exploring cutting-edge AI techniques, and are passionate about improving Apple product quality, we’d love to hear from you!

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