Tech Lead Machine Learning Engineer - Finance

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
39 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $218k
$172k most similar roles pay here $268k

This listing doesn't post a salary. Most similar roles pay $190,000–$246,150.

Based on 239 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Tech Lead Machine Learning Engineer - Finance

As a Tech Lead Machine Learning Engineer at Finance, you will serve as the technical lead for product cost within Apple’s Operations Finance team, overseeing solution design and guiding engineers to operationalize AI solutions. You will collaborate with data and software engineers, product managers, and program managers to instill strong engineering practices into machine learning processes, ensuring rapid and reliable delivery of value to the Finance organization. Key responsibilities include explaining technical concepts to non-technical stakeholders, developing scalable pipelines using SQL and big data technologies, and applying ML algorithms for regression, classification, anomaly detection, and generative AI solutions while adhering to MLOps best practices such as CI/CD and drift monitoring on cloud platforms like AWS, GCP, or Azure. This role requires a graduate degree in computer science, data science, math, quantitative finance, or a related field, along with at least 8 years of engineering experience and expertise in Python development and front-end technologies.

What you'll do

  • Oversee solution design and lead engineers in machine learning projects.
  • Operationalize AI solutions, transitioning from prototype to production efficiently.
  • Instill strong engineering practices into team processes for machine learning.
  • Rapidly deliver value to the Finance organization through reliable AI implementations.
  • Explain technical concepts clearly to non-technical stakeholders within the company.

What we're looking for

  • At least 8 years of engineering experience with leadership in technical roles.
  • Expertise in data modeling, scalable pipelines using SQL and big data technologies.
  • Proficient in Python development adhering to DRY principles and testing standards.
  • Experience applying ML algorithms for regression, classification, anomaly detection.
  • Graduate degree in computer science, data science, math, quantitative finance, or similar.
  • Ability to explain technical concepts to non-technical audiences effectively.

More like this

Similar roles

Finance Digital Transformation - Senior Machine Learning Engineer

Apple Inc

Cupertino, CA 21 days ago $181,100$272,100
CI/CD Kubernetes MLOps GitOps Terraform AWS Python PostgreSQL Prometheus Docker Feature Stores Model Registries Experiment Tracking Version Control Code Review Generative AI Agentic Workflows LLMOps RAG Infrastructure Prompt Versioning

Lead Data Engineer (Finance Tech)

Capital One Financial

Richmond, VA 9 days ago $197,300$225,100
Python SQL AWS Kubernetes Terraform CI/CD Docker PostgreSQL Snowflake Apache Airflow Git Jenkins Ansible Prometheus Grafana