Join the Machine Learning Center of Excellence (MLCoE) at JPMorgan Chase, where we lead the charge in harnessing AI and machine learning to shape innovative solutions for a global leader in financial services. As a Senior Associate in NLP, you’ll pioneer state-of-the-art machine learning models to tackle challenging problems in NLP, speech recognition, and recommendation systems, all while collaborating across diverse teams.
If you’re passionate about driving innovation, solving complex problems, and making AI work at scale, this role is for you.
???? Research & Innovate: Stay ahead of the curve by exploring and experimenting with cutting-edge machine learning techniques.
???? Build Impactful Models: Develop advanced ML solutions for natural language processing, speech analytics, and personalized recommendations.
???? Collaborate & Deploy: Work with teams across business, technology, and compliance to turn innovative ideas into production-ready solutions.
???? Accelerate AI Adoption: Build scalable frameworks to deploy ML models across business areas, enhancing decision-making and productivity.
? Academic Excellence: PhD or Master's in Computer Science, Mathematics, or a related field with 3+ years of research or industry experience.
???? Expertise in NLP & Machine Learning: Solid background in NLP, speech recognition, or recommendation systems with hands-on experience in deep learning.
???? Proficient in ML Toolkits: Skilled with TensorFlow, PyTorch, NumPy, and Scikit-Learn.
???? Scientific Thinker: Strong analytical mindset with a passion for tackling challenging, ambiguous problems.
???? Communicator: Ability to translate complex technical concepts to both technical and business audiences.
? Background in search, ranking, or reinforcement learning.
???? Experience with A/B experimentation and cloud-native ML deployment.
???? Knowledge of the financial services industry.
???? Published research in machine learning conferences or journals.
???? Impact at Scale: Be part of a global financial leader with a 200+ year history.
???? Innovation Culture: Work in a collaborative environment that encourages learning and experimentation.
???? Competitive Rewards: Comprehensive compensation package, including competitive base salary, discretionary incentives, and equity opportunities.
???? Holistic Benefits: Health coverage, retirement savings, childcare support, tuition reimbursement, and mental health programs.
Key Skills: