Applied AI/ML Lead
JPMorgan Chase2 months ago
Base Salary
$138k - $235k/yr
Responsibilities
- Lead AI/ML programs, provide direction for large initiatives, and help define problem statements and execution roadmaps.
- Develop machine learning and deep learning models for NLP, personalization, recommendation, document Q&A, search, information retrieval, and classification.
- Build and operationalize end-to-end ML, AutoML, and AutoNLP pipelines with batch and real-time prediction capabilities.
- Integrate model pipelines with existing applications and front-end systems and deploy solutions into production.
- Design experiments and training frameworks and evaluate intrinsic and extrinsic model-performance metrics against business goals.
- Collaborate with product owners, software engineers, data engineers, business teams, and other partner functions to identify and deliver impactful projects.
- Explain complex technical concepts and results to senior leaders and technical and business stakeholders.
- Provide regular team updates, maintain transparency into priorities and deliverables, and promote a positive, high-performing team environment.
Requirements
- Bachelor’s, master’s, or PhD in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning, with a strong mathematics and statistics background.
- At least 7 years of experience applying data science and machine learning techniques to business problems.
- Proficiency in at least one programming language such as Python, Java, C, or C++.
- Experience with LLMs, prompt engineering, generative AI, NLP, machine learning, and deep learning methods.
- At least 1 year of experience working with generative AI solutions or LLMs such as GPT, Claude, or Llama.
- Extensive experience with machine learning and deep learning toolkits, including Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, or Pandas.
- Experience with big data, scalable model training, ML model deployment on AWS, and AWS services such as SageMaker, EC2, and Glue.
- Understanding of active learning, agent or multi-agent learning, and learning from supervision or feedback.
- Ability to work independently through project completion, collaborate effectively, communicate technical concepts clearly, and demonstrate attention to detail.
- Preferred qualifications include published ML, deep learning, or reinforcement learning research; A/B experimentation and metric-driven product development experience; and production-quality coding, debugging, continuous integration, and unit-test development experience.
Benefits
- Competitive total rewards and role-based base salary, with eligible roles potentially offering commission or discretionary incentive compensation; compensation figures are not stated.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Equal opportunity employment, diversity and inclusion commitments, and reasonable accommodations for religious practices, mental health needs, and disabilities.
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.