At a Glance
- Tasks: Create cutting-edge machine learning models for NLP, speech recognition, and analytics.
- Company: Join JPMorgan Chase's Chief Data & Analytics Office, a leader in data innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on diversity, inclusion, and career advancement.
- Why this job: Make a real impact with advanced AI technologies and collaborate across teams.
- Qualifications: PhD or MS in a quantitative field with strong NLP and machine learning skills.
The predicted salary is between 100000 - 150000 £ per year.
Job Responsibilities
- Create state‑of‑the‑art machine learning models to solve real‑world problems and apply them to NLP, speech recognition and analytics, time‑series predictions, or recommendation systems.
- Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
- Drive firm‑wide initiatives by developing large‑scale frameworks to accelerate the application of machine learning models across different areas of the business.
- Research and explore new machine learning methods through independent study, attending industry‑leading conferences, experimentation and participation in knowledge‑sharing community.
Required Qualifications, Capabilities, and Skills
- PhD in a quantitative discipline (Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with significant industry or research experience.
- Solid background in NLP, LLM, and graph analytics plus hands‑on experience and solid understanding of machine learning and deep learning methods.
- Hands‑on experience building agentic AI / multi‑agent systems within regulated or compliance‑driven environments.
- Ability to design experiments and training frameworks, outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, focusing on agentic systems and LLM evaluation.
- Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
- Scientific thinking with ability to invent and work independently and in highly collaborative teams.
- Motivated by complex analytical problems; curious, hardworking, detail‑oriented.
Preferred Qualifications, Capabilities, and Skills
- Strong background in Mathematics and Statistics and familiarity with financial services industry and continuous integration models and unit test development.
- Knowledge of graph integration with LLM, reinforcement learning or meta‑learning.
- Experience with A/B experimentation and data/metric‑driven product development, cloud‑native deployment in a large‑scale distributed environment, and ability to develop and debug production‑quality code.
- Published research in machine learning, deep learning or reinforcement learning at a major conference or journal.
About the Job
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. The Applied AI ML Director – NLP / LLM and Graphs role will apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems, and collaborate with various teams.
We value solid expertise in deep learning with hands‑on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.
EEO Statement
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute and make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Applied AI ML Director - NLP / LLM and Graphs employer: Fairygodboss
At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an Applied AI ML Director, you will have the opportunity to work at the forefront of machine learning technology in a supportive environment that values diversity and inclusion, while also providing ample opportunities for professional growth and development. Our commitment to employee well-being and continuous learning ensures that you can thrive both personally and professionally in this exciting role.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Director - NLP / LLM and Graphs
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, conferences, or webinars related to AI and machine learning. You never know who might have a lead on your dream job or can introduce you to someone at JPMorgan Chase.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving NLP, LLM, and graph analytics. Share your work on platforms like GitHub or even your own website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practice explaining your thought process clearly, as communication is key when discussing complex topics with non-technical stakeholders.
✨Apply Through Our Website
Don’t forget to apply directly through the JPMorgan Chase careers page! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of their team.
We think you need these skills to ace Applied AI ML Director - NLP / LLM and Graphs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in NLP, LLM, and graph analytics, as well as any hands-on experience you've had with machine learning models.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Applied AI ML Director role. Share specific examples of your past work and how it aligns with our mission at StudySmarter.
Showcase Your Research:If you've published research or attended industry conferences, make sure to mention this in your application. We love candidates who are engaged in the latest developments in machine learning and AI.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people and helps us keep track of all applicants efficiently.
How to prepare for a job interview at Fairygodboss
✨Know Your Stuff
Make sure you brush up on your knowledge of NLP, LLM, and graph analytics. Be ready to discuss specific projects you've worked on and the machine learning methods you've applied. This will show that you not only understand the theory but also have practical experience.
✨Collaborate Like a Pro
Since this role involves working with various teams, think about examples where you've successfully collaborated across departments. Prepare to share how you’ve communicated complex technical concepts to non-technical stakeholders, as this will highlight your ability to bridge the gap between tech and business.
✨Experimentation is Key
Be prepared to talk about your experience with designing experiments and evaluating model performance. Bring examples of how you've used A/B testing or other metrics-driven approaches in your previous roles. This will demonstrate your scientific thinking and analytical skills.
✨Stay Curious and Motivated
Show your passion for continuous learning and problem-solving. Mention any recent conferences you've attended or new methods you've explored. This will reflect your commitment to staying at the forefront of the field and your motivation to tackle complex analytical challenges.
