Machine Learning Engineer 30
Description For Machine Learning Engineer 30
Adobe, a global leader in digital experience solutions, is seeking a highly skilled Machine Learning Engineer to join their team in San Jose, CA. This role offers an exciting opportunity to work at the intersection of artificial intelligence and enterprise software, developing advanced algorithms that drive intelligence in Adobe's products and systems.
The position requires a PhD in Computer Science, Machine Learning, AI or related field, demonstrating Adobe's commitment to bringing in top technical talent. You'll be working with cutting-edge ML frameworks like TensorFlow, PyTorch, and Scikit-learn, applying deep learning techniques to solve complex problems in marketing software and other Adobe products.
The role offers significant technical challenges, from developing coordinated software algorithms for data analysis to implementing solutions in large-scale computing environments. You'll be working on meaningful projects that directly impact Adobe's product capabilities and customer experience.
The compensation is highly competitive, with a salary range of $120,700 - $228,600 annually, plus eligibility for Adobe's Annual Incentive Plan and equity awards. This reflects Adobe's position as a top-tier tech employer and their investment in ML talent.
As part of Adobe's engineering team, you'll be joining a company known for innovation in creative and marketing software. Adobe's collaborative culture encourages staying current with the latest developments in AI/ML while working alongside talented peers to shape the future of digital experiences.
This is an in-person role at Adobe's San Jose headquarters, offering the opportunity to work at a major tech hub and collaborate directly with cross-functional teams. The position combines cutting-edge technical work with real business impact, making it ideal for ML engineers who want to work on products used by millions globally.
Adobe's strong market position, commitment to innovation, and comprehensive benefits make this an excellent opportunity for a Machine Learning Engineer looking to make significant contributions at a leading technology company.
Responsibilities For Machine Learning Engineer 30
- Develop and program coordinated software algorithms for data analysis and decision-making
- Leverage machine learning techniques to build predictive and prescriptive models
- Apply deep learning technologies to enable advanced capabilities in Marketing Software
- Design, implement, and optimize algorithms in large-scale computing environments
- Perform testing, debugging, and documentation
- Collaborate with teams to integrate insights into products and systems
- Stay updated with latest advancements in AI, ML and data science
Requirements For Machine Learning Engineer 30
- PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field
- Strong experience in programming languages such as Python, R, Java
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Proficiency in working with large-scale data analysis systems and cloud computing frameworks
- Experience in statistical modeling, predictive analytics, and deep learning techniques
- Strong problem-solving skills
- Excellent communication skills
Benefits For Machine Learning Engineer 30
- Competitive salary range $120,700 - $228,600 annually
- Annual Incentive Plan (AIP)
- New hire equity award eligibility
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