Staff Machine Learning Engineer
Description For Staff Machine Learning Engineer
Adobe is seeking a Staff Machine Learning Engineer to join their innovative team focused on advancing AI capabilities. This role offers an exceptional opportunity to work on cutting-edge projects that shape the future of digital experiences from Adobe's Silicon Valley headquarters.
As a Staff ML Engineer, you'll be at the forefront of developing and implementing sophisticated machine learning solutions that power Adobe's next-generation products. You'll work with state-of-the-art technologies including LLMs, generative AI, and advanced ML frameworks, while leading a team of engineers to deliver enterprise-scale ML projects.
The ideal candidate brings deep expertise in machine learning engineering, with particular strength in generative AI technologies and large-scale system deployment. You'll need to demonstrate both technical excellence and leadership ability, as you'll be guiding junior engineers while collaborating with cross-functional teams including data scientists and AI researchers.
Adobe offers a competitive compensation package ranging from $162,000 to $301,200 annually, reflecting their commitment to attracting top talent. The company's position as a leader in digital creative tools provides a unique opportunity to work on AI solutions that will impact millions of users worldwide.
The role combines hands-on technical work with strategic leadership, requiring someone who can both architect complex ML systems and guide teams to successful implementation. You'll be working in San Jose, California, at the heart of Silicon Valley's tech ecosystem, where you'll have access to cutting-edge resources and collaborate with some of the industry's brightest minds.
This position offers the chance to shape the future of creative AI technologies while working for a company with a strong track record of innovation and market leadership. If you're passionate about machine learning, have a proven track record of delivering ML solutions at scale, and want to lead teams working on next-generation AI technologies, this role presents an exceptional opportunity for career growth and impact.
Responsibilities For Staff Machine Learning Engineer
- Experiment, design, and develop ML models to solve business use cases at scale
- Architect and optimize end-to-end ML pipelines
- Make recommendations for models, metrics, and governance approaches
- Engage in product lifecycle from architecture to production operations
- Evaluate AI models performance through testing and benchmarking
- Collaborate with cross-organization teams
- Lead small team of junior and mid-level ML engineers
- Stay current with AI advancements and suggest improvements
Requirements For Staff Machine Learning Engineer
- PhD or Master's degree in Computer Science, Computer Engineering, or related field—or equivalent experience
- 8+ years of proven experience as a Machine Learning Engineer
- 2+ years of hands-on experience with generative AI technology
- Strong Python and deep learning engineering skills
- Experience with LLM frameworks and tools
- Experience with ML lifecycle tools
- Ability to fine-tune and deploy large-scale ML systems
- Understanding of GenAI model architectures and hardware
- Experience with deployment technologies
- Experience with cloud platforms
- Excellent problem-solving skills
- Strong verbal and written communication skills
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