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- Tasks: Apply advanced machine learning methods to tackle complex challenges in NLP and more.
- Company: Join J.P. Morgan's innovative Machine Learning Centre of Excellence.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Make a real impact with cutting-edge AI solutions in a collaborative environment.
- Qualifications: PhD or MS in a quantitative field with strong ML/DL experience.
- Other info: Work with a dynamic team focused on transformative machine learning projects.
The predicted salary is between 36000 - 60000 £ per year.
Overview NLP / LLM Scientist – Applied AI ML Lead – Machine Learning Centre of Excellence. The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems.Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participation in knowledge sharing.Develop state-of-the-art machine learning models to solve real-world problems and apply them to NLP, LLMs or recommendation systems.Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals.Collaborate with partner teams across 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.Required Qualifications, Capabilities, And Skills Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods.PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science) with reasonable industry experience, or an MS with significant industry or research experience in the field.Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.Experience with big data and scalable model training; strong written and spoken communication to effectively convey technical concepts to technical and business audiences.Scientific thinking with the ability to invent and work independently and in highly collaborative team environments.Curious, hardworking, detail-oriented, and motivated by complex analytical problems.Preferred Qualifications, Capabilities, And Skills Strong background in Mathematics and Statistics and familiarity with financial services industries; experience with continuous integration models and unit test development.Knowledge in search/ranking, Reinforcement Learning or Meta Learning.Expertise in recommendation systems.Experience with A/B experimentation and data/metric-driven product development; cloud-native deployment in large-scale distributed environments; 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 MLCOE The Machine Learning Center of Excellence (MCLOE) partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. You will work with a multidisciplinary team focused exclusively on Machine Learning, employing techniques in Deep Learning and Reinforcement Learning.For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. To learn how AI/ML is driving transformational change, read the blog: https://www.jpmorgan.com/insights/technology/technology-blog?source=cib_di_jp_aBtechblog102About The Team Our professionals in Corporate Functions cover finance, risk, human resources and marketing. Our corporate teams are essential to ensuring success across our business, clients, customers and employees.Company Details J.P. Morgan is a global leader in financial services, providing strategic advice and products to corporations, governments, and institutional investors. We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on protected attributes and provide reasonable accommodations as needed. See our FAQs for more information about accommodations.Job Details Seniority level: Not ApplicableEmployment type: Full-timeJob function: Research, Analyst, and Information Technology
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NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or conferences, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence
Some tips for your application 🫡
Show Your Passion for Machine Learning: Let us see your enthusiasm for machine learning in your application! Share any personal projects, research, or experiments you've done that showcase your curiosity and dedication to the field.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience in NLP, deep learning, and collaboration. We want to see how your skills align with the role and the exciting work we do at StudySmarter.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your technical skills and experiences, as we appreciate strong communication abilities just as much as technical expertise.
Apply Through Our Website: Don't forget to submit your application through our website! This ensures that your application gets to the right people and helps us keep track of all candidates efficiently.
How to prepare for a job interview at JPMorganChase
✨Know Your Stuff
Make sure you brush up on your knowledge of NLP, deep learning, and the specific tools mentioned in the job description like TensorFlow and PyTorch. Be ready to discuss your hands-on experience and any projects you've worked on that relate to these areas.
✨Show Your Collaborative Spirit
Since this role requires working with various teams, think of examples where you've successfully collaborated with others. Highlight your ability to communicate complex technical concepts to non-technical audiences, as this will be crucial in a multi-disciplinary environment.
✨Prepare for Problem-Solving Questions
Expect to tackle some analytical problems during the interview. Practice explaining your thought process when designing experiments or evaluating model performance metrics. This will showcase your scientific thinking and problem-solving skills.
✨Stay Curious and Passionate
Demonstrate your passion for machine learning by discussing recent innovations or research you've explored. Showing that you're proactive about learning and experimenting will resonate well with the interviewers, as they value curiosity and motivation.
