Machine Learning Engineer
3 weeks ago
JOB LEVEL
P40EMPLOYEE ROLE
Individual ContributorAdobe's genuine engineering team is seeking a senior machine learning engineer to join our exceptional team and play a pivotal role in shaping the development of a wide variety of ML solutions.
Our team is responsible for developing solutions to combat piracy of Adobe applications and services and detecting fraud activities. Your expertise will be instrumental in protecting our company's assets and ensuring the integrity of our products and services.
As a Senior machine learning engineer, you will work on cutting-edge projects, develop, and deploy machine learning models, and collaborate with cross-functional teams to drive innovation and solve complex problems.
If you are passionate about machine learning, have a strong technical background, and are eager to work on challenging projects that have a real impact, we encourage you to apply for this role and be part of our dynamic and innovative team.
What you'll do:
1. Scale and build infrastructure for predictive models on large-scale datasets to address various business problems.
2. Transform requirements into architectural and feature specs
3. Mentor and provide technical guidance to junior engineers, review code, and ensure alignment with best practices in software development and AI/ML engineering.
4. Collaborate with product management and engineering groups to develop new products and features.
5. Work closely with teams across Adobe, in different geographies. The technology you produce will have visibility at the highest levels of the company.
6. Stay updated with the latest test, development, and deployment practices, and actively share knowledge with the team and community.
What we are looking for:
1. 7+ years of industry work experience. Good sense of product with a focus on shipping user-facing data-driven features.
2. Proficient in one or more programming languages, such as Python, Java, or Scala.
3. Familiar with one or more machine learning, deep learning, or statistical modelling tools such as R, scikit-learn, and JupyterLab.
4. Familiar with public cloud computing platforms and frameworks such as DataBricks, SageMaker, and Tensorflow.
5. Excellent coding, analysis, and problem-solving skills. Solid knowledge of data structure and algorithms.
6. Knowledge of ML Ops. Familiarity with ML services is a plus.
7. Experience with version control systems (e.g., Git) and agile development methodologies.
8. Strong communication and collaboration skills.
9. Proven experience as a Machine Learning Engineer with a track record of successfully delivering machine learning projects.
10. Knowledge of fraud investigation and piracy prevention concepts and methodologies is a significant advantage.
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We're glad that you're pursuing a new opportunity at Adobe
Put your best foot forward:
1. Update your Resume/CV and Workday profile – don't forget to include your uniquely 'Adobe' experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you're interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.
Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.
If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact
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