Senior Machine Learning Engineer- L40
Senior Machine Learning Engineer- L40
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$ 142700 - 257600
1 Vacancy
Job Description
Our Company
Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.
Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!
Job Summary:
We are looking for a highly skilled Senior Machine Learning Engineer to develop advanced ML algorithms and apply Generative AI to build agentic systems that drive intelligence in our products and systems. You will craft program and optimize coordinated software algorithms for structured and unstructured environments while building scalable AI systems. Your work will enable datadriven actionable insights enhance product performance and leverage Generative AI and Machine Learning to build AI agentic systems that provide insights and suggest actions for Journey Optimization.
THIS ROLE IS IN OFFICE IN OUR SAN JOSE LOCATION******
Key Responsibilities:
- Architect and build robust scalable AI systems that support AI agentic processes enabling dynamic decisionmaking and personalized user experiences.
- Leverage machine learning techniques such as decision trees logistic regression Bayesian analysis and deep learning to build predictive and prescriptive models.
- Apply deep learning and Generative AI technologies to enable advanced capabilities in Marketing Software focusing on AIdriven Journey Optimization.
- Develop endtoend pipelines for training deploying and maintaining machine learning models in production environments.
- Develop and program coordinated software algorithms for data analysis and decisionmaking in both product design and system improvement projects.
- Ensure system reliability performance and scalability through testing debugging monitoring and documentation.
- Collaborate with crossfunctional teams to integrate AIdriven insights into products and systems ensuring seamless deployment and performance.
- Stay updated with the latest advancements in artificial intelligence machine learning and Generative AI to continuously improve technological capabilities.
Required Qualifications:
- Masters Degree or equivalent experience in Computer Science Machine Learning Artificial Intelligence or a related field with 2 years working on Data Science Machine Learning and Agentic systems using Generative AI.
- Strong experience in programming languages such as Python R Java Scala.
- Handson experience with machine learning frameworks like TensorFlow PyTorch and Scikitlearn.
- Proficiency in working with largescale data analysis systems and cloud computing frameworks.
- Experience in statistical modeling predictive analytics and deep learning techniques.
- Strong problemsolving skills and the ability to translate complex algorithms into efficient code.
- Excellent communication skills and ability to work collaboratively in a team environment.
- Solid understanding of system architecture and distributed systems.
- Experience with containerization and orchestration technologies like Docker and Kubernetes.
- Familiarity with CI/CD pipelines and infrastructure as code tools.
- Proven ability to build and maintain scalable microservices and integrate AI models into cloudbased infrastructures.
Preferred Qualifications:
- Experience in applying Generative AI to build AI agentic systems with a focus on Building AI Agents.
- Knowledge of distributed computing frameworks such as Spark and Hadoop for largescale data processing.
- Familiarity with deploying and maintaining machine learning models in production environments.
- Understanding of AIdriven decisionmaking systems reinforcement learning and multiagent systems.
- Experience in building scalable microservices and integrating AI models into cloudbased infrastructures.
At Adobe for sales roles starting salaries are expressed as total target compensation (TTC base commission) and shortterm incentives are in the form of sales commission plans. Nonsales roles starting salaries are expressed as base salary and shortterm incentives are in the form of the Annual Incentive Plan (AIP).
In addition certain roles may be eligible for longterm incentives in the form of a new hire equity award.
StateSpecific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting) the application window will remain open until at least the date and time stated above in Pacific Time in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location no specific application window applies and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be anEqual Employment Opportunityemployer. We do not discriminate based on gender race or color ethnicity or national origin age disability religion sexual orientation gender identity or expression veteran status or any other applicable characteristics protected by law.Learn more.
Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process emailor call (408).
Required Experience:
Senior IC
Employment Type
Full-Time
