Full-Time

Machine Learning Engineer

Platform & Data

Posted on 10/16/2024

Adobe

Adobe

10,001+ employees

Digital experience solutions for content creation

Consumer Software
Enterprise Software
AI & Machine Learning

Compensation Overview

$142.7k - $257.6kAnnually

+ Long-term incentives + New hire equity award

Mid, Senior

Seattle, WA, USA + 2 more

More locations: San Francisco, CA, USA | San Jose, CA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Kubernetes
Python
Data Science
Apache Spark
Machine Learning
Docker
AWS
Ansible
C/C++
Linux/Unix

You match the following Adobe's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Proficiency in at least two of: Linux, Ansible, Docker, Kubernetes (3+ yrs)
  • Expert in Python and or C++
  • Experience in distributed computing (3+ yrs)
  • Experience in HDFS, Spark, Presto (3+ yrs)
  • Experience working with AWS or similar cloud infrastructure (3+ yrs)
  • Experience with HW resource management for ML training and/or deployment
  • B.S., M.S, or Ph.D. in Computer Science, Computer Engineering or a related area
Responsibilities
  • Design, architect and build cloud ML platform solutions related but not limited to resource management, monitoring, allocation, and job scheduling.
  • Design, architect and build reliability, observability and utilization infrastructure for cloud computing resources.
  • Collaborate with data platform engineers and architects to seamlessly integrate low latency data pipelines into the ML platform for model training.
  • Collaborate with machine learning and data scientists to identify and resolve requirements in order to improve the training cost and turnaround time on the ML platform.
  • Monitor machine learning platform performance and modify infrastructure to fit fluid cloud resource needs.
  • Write high quality, product level code that is easy to maintain and test following standard methodologies.

Adobe provides a range of digital experience solutions that focus on content creation, marketing, and document management. Its main products include Adobe Creative Cloud, which allows users to create and edit digital content; Adobe Document Cloud, which helps manage and share documents; and Adobe Experience Cloud, designed for digital marketing and customer experience management. These products work through a subscription model, where users pay monthly or annually for access to the software. Adobe differentiates itself from competitors by offering a comprehensive suite of tools that cater to individual creatives, small businesses, and large enterprises, along with specialized solutions for various industries. The company's goal is to empower users to create, deliver, and optimize digital content effectively while continuously enhancing its offerings with advanced technologies like artificial intelligence and machine learning.

Company Stage

IPO

Total Funding

$668.9M

Headquarters

San Jose, California

Founded

1994

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for remote collaboration boosts use of Creative and Document Cloud products.
  • AI integration in Adobe software leads to higher customer satisfaction and retention.
  • Growing digital content consumption increases demand for Adobe's marketing solutions.

What critics are saying

  • Competition from Canva offers affordable alternatives to Adobe's Creative Cloud suite.
  • Open-source software like GIMP challenges Adobe's pricing model with free alternatives.
  • Salesforce's acquisition of Slack may draw enterprise customers from Adobe's Experience Cloud.

What makes Adobe unique

  • Adobe integrates AI and machine learning to enhance user experience and satisfaction.
  • Strategic partnerships with Microsoft and Apple expand Adobe's reach and compatibility.
  • Adobe's focus on sustainability attracts environmentally conscious consumers and investors.

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Benefits

Company Equity

401(k) Company Match

INACTIVE