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Senior Machine Learning Engineer

Lead development of production-ready machine learning models for Adobe Stock content understanding
San Jose, California, United States
Senior
$172,500 – 306,625 USD / year
21 hours agoBe an early applicant
Adobe

Adobe

Provides creative, marketing, and document management software and cloud services for designing, publishing, and managing digital content.

Senior Machine Learning Engineer

Adobe Stock's Content Intelligence team is positioned at the center of Adobe's creative ecosystem. Our mission is to employ machine learning to enhance our comprehension of the creative content that moves through Adobe Stock, Behance, and onto Adobe Firefly. Adobe boasts one of the largest pools of professional creative content worldwide, and content intelligence is pivotal in effectively catering to the world's creatives. This outstanding opportunity allows you to be part of a world-class team dedicated to pushing the boundaries of machine learning and artificial intelligence to new heights.

As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work closely with product and engineering management to align technical requirements and opportunities with product goals. Your role will include:

  • Leading the development and improvement of machine learning models that fuel innovation.
  • Collaborating with cross-functional teams to deliver ambitious projects on time.
  • Providing technical guidance and mentorship to team members, encouraging a collaborative and inclusive environment.
  • Staying current with the latest advancements in ML and AI to ensure our solutions remain at the forefront.

What You Need to Succeed:

  • 5+ years of industry experience in developing, evaluating, and deploying ML models into production.
  • Strong knowledge of Python and Python-based ML and Data Science frameworks, with proficiency in at least one deep learning framework such as PyTorch or TensorFlow.
  • Proven experience leading major successful initiatives.
  • Experience working with both research and product teams to ensure seamless integration of new technologies.
  • A degree in computer science, statistics, operations research, applied physics, engineering, or a related quantitative field.

Join us at Adobe and help compose the future of creative content through the power of machine learning. Together, we'll develop groundbreaking solutions that empower creatives around the world to achieve their ambitious visions!

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $211,800 - $306,625

In Washington, the pay range for this position is $201,000 - $291,150

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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Senior Machine Learning Engineer
San Jose, California, United States
$172,500 – 306,625 USD / year
Engineering
About Adobe
Provides creative, marketing, and document management software and cloud services for designing, publishing, and managing digital content.