Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at Adobe, you will play a pivotal role in our ambitious journey to redefine digital experiences. This is your chance to work on innovative solutions that will impact billions of users worldwide!

• Develop and program coordinated software algorithms to structure, analyze, and leverage data in both structured and unstructured environments.
• Communicate descriptive, diagnostic, predictive, and prescriptive insights/algorithms.
• Convert algorithms and technical specifications into code using current programming languages and technologies.
• Perform testing, debugging, and implement efficiencies for flawless execution.
• Complete documentation and procedures for installation and maintenance.
• Apply deep learning technologies to enable computers to visualize, learn, and respond to complex situations.
• Adapt machine learning to virtual reality, augmented reality, artificial intelligence, robotics, and interactive experiences.
• Work with large-scale computing frameworks, data analysis systems, and modeling environments.

We are seeking candidates who are exceptionally skilled and ready to take on world-class challenges:

• 7+ years of experience in AI platform build and implementation, ensuring performance, scalability, and reliability.
• Strong expertise in cloud infrastructure and distributed computing.
• Outstanding programming skills in languages such as Python, Java, or C++.
• Proven capability to effectively apply complex algorithms and technical specifications.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.

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

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.

Join us and help drive the next decade of growth at Adobe! Your innovative ideas and dedication to excellence will make a difference. About Adobe 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. Let's Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create., At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.