Machine Learning Engineer, Strategic Data Solutions (Fulfillment, Supply Chain, Logistics domain exp)

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
69 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $218k
$161k most similar roles pay here $271k

This listing doesn't post a salary. Most similar roles pay $187,000–$249,750.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Engineer, Strategic Data Solutions (Fulfillment, Supply Chain, Logistics domain exp)

Apply Now Log in to save

As a Machine Learning Engineer at Strategic Data Solutions on the Fulfillment Operations team, you will work closely with internal partners to solve complex business problems in logistics and supply chain management. Your day-to-day responsibilities include translating ambiguous business challenges into technical solutions, designing data-driven models that balance established techniques with innovative custom approaches, and collaborating with cross-functional teams to implement real-time decision-making systems. You will build end-to-end data pipelines and models to automate fulfillment processes, ensuring robust production deployment while maintaining operational metrics. Additionally, you will communicate findings and emerging technologies to stakeholders with varying technical backgrounds, enhancing the team's overall capabilities. The role requires expertise in Python, a strong theoretical understanding of machine learning algorithms, and experience in deploying ML solutions to real-world problems, particularly within the context of large-scale logistics operations.

Skills

Python Machine Learning Data Pipelines Model Deployment CI/CD Cloud Services Databases Kubernetes Terraform AWS Grafana Prometheus Linear Programming AI-Assisted Coding Tools

What you'll do

  • Translate complex business problems into technical solutions for stakeholders.
  • Design and implement data-driven models to optimize fulfillment processes.
  • Develop robust real-time decision-making systems in production environments.
  • Monitor and report on the quality of decisioning to maintain operational health.
  • Build end-to-end data pipelines to automate and enhance logistics operations.
  • Communicate technical insights effectively to diverse stakeholder groups.

What we're looking for

  • At least 3 years of experience deploying machine learning solutions to solve real-world problems.
  • Graduate degree in a relevant field with data science experience, or equivalent work experience.
  • Strong theoretical understanding of machine learning algorithms and their applications.
  • Practical experience implementing data science applications using Python or similar language.
  • Ability to design end-to-end data pipelines and models for automation and process improvement.
  • Effective communication skills to translate technical concepts into business-focused solutions.

Related searches

More Machine Learning Engineer jobs Machine Learning Engineer jobs in Austin All jobs at Apple Inc

More like this

Similar roles

Lead Machine Learning Engineer - Merchandising AI (ML Ops)

Target

Remote (7000 Target Pkwy N,Ncd-0375 Brooklyn Park,Mn 55445, US) 21 days ago $132,000–$238,000
Python Google Cloud Vertex AI Kubernetes Docker CI/CD REST API Hadoop Spark Kafka ML Ops Big Data technologies Terraform PostgreSQL MLOps
Remote Hybrid
Save