Senior ML and Backend Software Engineer - Special Projects

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
88 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $185k
This role $250k
$127k most similar roles pay here $339k

This role pays more than 92% of similar roles. Most pay $147,568–$222,437 — the shaded band above. At the midpoint, this role pays about $250k versus about $185k for comparable roles.

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 · Senior ML and Backend Software Engineer - Special Projects

Join the Special Projects group at Apple as a Senior ML and Backend Software Engineer, where you will contribute to building innovative tooling for model evaluation that integrates robotics, generative AI, and data analysis. Your day-to-day responsibilities include designing and scaling backend infra systems using Kubernetes and cloud-native technologies, implementing Python-based large-scale systems for user-facing applications, and integrating with various models to enhance system capabilities. Ideal candidates possess strong Python development skills, deep expertise in cloud-native platform engineering, and a passion for software architecture and developer experience. Experience in bringing AI systems from research to production is essential, along with excellent collaboration and communication skills. This role offers the chance to work on ambitious projects at Apple’s cutting-edge innovation hub.

What you'll do

  • Design and scale backend infra systems using Kubernetes and cloud-native technologies.
  • Implement Python tooling for user-facing applications to accelerate model evaluation processes.
  • Integrate various machine learning models to enhance system capabilities and performance.
  • Influence architectural decisions and ensure the reliability, security, and high performance of platforms.
  • Collaborate with cross-functional teams to build useful tooling and innovative user experiences.

What we're looking for

  • Strong Python development and cloud-native platform engineering experience.
  • Deep expertise in Kubernetes deployment and management.
  • Experience with ML systems, model evaluation, and relational databases.
  • Background in large-scale web development and software architecture design.
  • Proven ability to bring AI systems from research to production.
  • Excellent collaboration and communication skills for cross-functional teams.

More like this

Similar roles

Senior Software Engineer, Personalization & ML

Upstart

Remote (US) 101 days ago $163,600$226,400
Python Java Kubernetes Docker AWS CI/CD Terraform PostgreSQL Redis Apache Kafka Prometheus Grafana Git Jenkins MLOps Scikit-learn TensorFlow PyTorch Snowflake
Remote

Senior Software Engineer - Applied AI/ML

Motorola Solutions

Chicago, IL +4 30 days ago $135,000$155,000
Python SQL Docker Kubernetes AWS Azure GCP MLOps CI/CD PyTorch Tensorflow Databricks MLFlow AWS SageMaker Hugging Face Apache Airflow Temporal RF rRay

Senior ML Platform Engineer

Nvidia

Remote (Santa Clara, CA) +3 7 days ago $152,000$241,500
Terraform Ansible Python Go Kubernetes Docker CI/CD Prometheus Grafana PyTorch TensorFlow Horovod NCCL GitOps Linux Networking Performance_Tuning SRE ML_Workflows GPU_Technologies
Remote

Senior ML Software Engineer, Mapping

Lyft

San Francisco, CA 113 days ago $162,800$203,500
Python Golang Machine_Learning Supervised_Learning Forecasting Recommendation_Systems Reinforcement_Learning Multi_Armed_Bandits CI/CD Docker Kubernetes AWS Terraform PostgreSQL Big_Data_Processing Data_Analysis
Hybrid