Full-Time

Sr. Machine Learning Engineer

Posted on 10/16/2024

Adobe

Adobe

1-10 employees

Creative, marketing, and document management software

Consumer Software
Enterprise Software
Design

Compensation Overview

$135.2k - $250.9kAnnually

+ Long-term incentives + Equity award

Senior

San Jose, CA, USA

In-office position in San Jose, CA.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Kubernetes
Python
Data Science
Tensorflow
R
Git
Data Structures & Algorithms
Pytorch
Apache Spark
SQL
Java
Docker
Pandas
Scala
Data Analysis
Requirements
  • Solid foundation in machine learning, classifiers, statistical modeling and multivariate optimization techniques
  • Experience with control systems, reinforcement learning problems, and contextual bandit algorithms.
  • Proven experience with DNN frameworks like TensorFlow or PyTorch on large-scale production grade ML solutions.
  • TensorFlow, R, scikit, pandas
  • Proficient in one or more: Python, Java/Scala, SQL, Hive, Spark
  • Good to have - Git, Bazel, Docker, Kubernetes
  • General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
  • Ability to be a self-starter and work closely with other data scientists and software engineers to design, test, and build production-ready ML and optimization models and distributed algorithms running on large-scale data sets
  • Demonstrated ability, with 7+ years of experience, in hands on technical roles involving Data Science, Machine Learning, or Statistics.
  • PhD or MS Eng in Computer Science / Statistics / equivalent field
  • Experience with Real Time Bidding / Ad Tech background preferred
  • Comfort with ambiguity, adaptability to evolving priorities, and the ability to lead a team while working autonomously.
  • Proven management experience with highly diverse and global teams.
  • Proven track record to influence technical and non-technical stakeholders.
  • Consistent track record of effectively operating in a high-growth, matrixed organization.
  • Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases.
  • An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road.
  • A self motivated and can-do attitude in the pursuit of great customer experiences and continuous improvements to the product.
Responsibilities
  • Hands-on data scientist who will release models in production.
  • Develop classifiers, predictive models, and multi-variate optimization algorithms on large-scale datasets using sophisticated statistical modeling, machine learning, and data analytics.
  • Special focus on R&D that will be building predictive models for conversion optimization, Bidding algorithms for pacing & optimization, Reinforcement learning, and Forecasting.
  • Collaborate with Product Management to bring AI-based Assistive experiences to life. Socialize what’s possible now or in the near future to inform the roadmap.
  • Lead/Mentoring a diverse team of outstanding ML scientists and engineers while driving all aspects of ML product development: ML modeling, data/ML pipelines, quality evaluations, productization, and ML Ops.
  • Build and instill a team that focuses on sound scientific processes and encourages deep engagement with our customers.
  • Handle project scope and risks with data, analytics, and creative problem-solving.

Adobe provides a range of digital experience solutions, focusing on creative, marketing, and document management software. 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 optimizing digital marketing efforts. These products work through a subscription model, where users pay monthly or annually for access to the software. Adobe stands out from competitors by offering a comprehensive suite of tools that cater to individual creatives, businesses, and educational institutions, along with tailored enterprise solutions for larger organizations. The company's goal is to empower users to create, deliver, and optimize digital content effectively across various platforms.

Company Stage

Acquired

Total Funding

$474.4M

Headquarters

San Jose, California

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • Adobe's dominance in the digital experience market positions it as a leader, offering employees stability and growth opportunities.
  • The continuous development of innovative tools and features keeps Adobe at the forefront of technology, providing a dynamic work environment.
  • Adobe's strong brand reputation and global presence offer employees the chance to work on high-impact projects with a wide-reaching influence.

What critics are saying

  • The subscription model, while profitable, may face resistance from users preferring one-time purchases, potentially affecting customer retention.
  • Intense competition from emerging and established players in the digital experience market could pressure Adobe to continuously innovate, which may strain resources.

What makes Adobe unique

  • Adobe's comprehensive suite of tools across Creative Cloud, Experience Cloud, and Document Cloud provides an integrated ecosystem that few competitors can match.
  • The company's focus on subscription-based models ensures a steady revenue stream and allows for continuous updates and improvements, unlike traditional software sales.
  • Adobe's special pricing for students, teachers, and businesses, along with promotional discounts, broadens its market reach and accessibility.

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