At a Glance
- Tasks: Design and deliver cutting-edge machine learning systems that transform banking.
- Company: Join JPMorganChase, a leader in AI innovation and technology.
- Benefits: Career growth, mentorship, and the chance to work on impactful projects.
- Other info: Collaborative culture with opportunities for individual contributors and management roles.
- Why this job: Shape the future of AI and make a real difference in the industry.
- Qualifications: Experience in machine learning and a degree in a quantitative field.
The predicted salary is between 100000 - 150000 € per year.
Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions.
We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment.
As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change.
Job Responsibilities- Design and deliver enterprise‑grade machine learning systems
- Collaborate with cloud and SRE teams to build robust production architectures
- Translate scientific research into scalable ML solutions
- Develop and deploy business‑critical, data‑intensive applications
- Implement distributed, multi‑threaded, and scalable applications
- Build, test, and deploy automated pipelines for ML solutions
- Leverage foundational libraries and services for re‑use across teams
- Apply best practices in software engineering and computer science
- Utilize MLOps tools for versioning, reproducibility, and observability
- Align ML problem definitions with business objectives
- Mentor and support team members, with optional management responsibilities
- Experience in machine learning engineering roles
- Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)
- Proven ability to develop and deploy business‑critical, data‑intensive applications
- Extensive experience with AWS and Kubernetes
- Proficiency with lower‑level libraries such as PyTorch and NumPy
- Hands‑on experience implementing distributed, multi‑threaded, and scalable applications
- Experience with automated building, testing, and deployment pipelines
- Familiarity with higher‑level interfaces like Pydantic AI and Langraph
- Strong understanding of computer science fundamentals and development best practices
- Broad knowledge of MLOps tooling for versioning, reproducibility, and observability
- Ability to understand business objectives and align ML problem definitions
- Experience mentoring or leading teams
- Knowledge of agentic AI concepts
- Experience designing reusable libraries and services
- Interest in bridging scientific theory and enterprise‑grade systems
- Passion for innovation and continuous learning
Why Join Us? You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide.
Machine Learning Engineering & Applied AI ML Lead - Vice President employer: Jpmorgan Chase & Co.
At JPMorgan Chase, we are committed to fostering a dynamic work environment where innovation thrives and your contributions truly matter. As a Machine Learning Engineering & Applied AI ML Lead, you will not only have the opportunity to work on cutting-edge AI solutions but also benefit from extensive career growth, mentorship, and a collaborative culture that values your expertise. Join us in shaping the future of banking while enjoying the unique advantages of working at one of the world's largest financial institutions, where your work can make a significant impact on clients and communities globally.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineering & Applied AI ML Lead - Vice President
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at JPMorganChase. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your machine learning projects or contributions to open-source. This gives potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest roles tailored to your expertise in AI and machine learning.
We think you need these skills to ace Machine Learning Engineering & Applied AI ML Lead - Vice President
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineering role. Highlight your experience with AWS, Kubernetes, and any relevant projects that showcase your ability to develop scalable applications.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Share specific examples of how you've bridged theory and practice in your previous roles.
Showcase Your Projects:If you've worked on any machine learning projects, especially those involving automated pipelines or MLOps, make sure to include them in your application. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and the latest trends in AI. Be ready to discuss how you've applied these in real-world scenarios, especially in building scalable applications. This will show that you can bridge theory and practice effectively.
✨Showcase Your Collaboration Skills
Since this role involves working with cloud and SRE teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked cross-functionally to deliver impactful solutions, as teamwork is key in this position.
✨Demonstrate Your Problem-Solving Ability
Think of specific challenges you've faced in previous roles and how you tackled them using ML solutions. Be ready to explain your thought process and the outcomes, as this will illustrate your ability to align ML problem definitions with business objectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the team culture, ongoing projects, and the future direction of AI at JPMorganChase. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals and values.
