We are seeking individuals with advanced expertise in Machine Learning (ML) to join our dynamic team.
As an Applied AI Scientist within our Corporate Sector, you will play a pivotal role in developing machine learning and deep learning solutions, and building solutions based on state of the art models. You will contribute to our innovative projects and drive the future of machine learning at AI Technologies. You will use your knowledge of ML tools and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new AI/ML solutions and productionize them. You will also foster a culture of continuous learning and technical excellence. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen.
Job Responsibilities
Serve as a subject matter expert on a wide range of ML techniques and optimizations.
Provide in-depth knowledge of ML algorithms, frameworks, and techniques.
Enhance ML workflows through advanced proficiency in large language models (LLMs), AI agents and related techniques.
Conducting experiments using latest ML technologies, analyzing results, tuning models
Actively engage in hands-on coding to convert experimental results into robust production solutions. Take full ownership of the entire code development lifecycle, from proof of concept and experimentation to delivering production-ready solutions.
Optimizing system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
Integrate Generative AI within the ML Platform using state-of-the-art techniques.
Drives decisions that influence the product design, application functionality, and technical operations and processes.
Required Qualifications, Capabilities, And Skills
STEM degree with at least 2-3 years of applied machine learning experience.
At least 2-3 years experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
Experience with machine learning and deep learning methods.
Ability to work on tasks and projects through to completion with limited supervision.
Passion for detail and follow through. Excellent communication skills and team player
Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.
Preferred Qualifications, Capabilities, And Skills
Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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 at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- STEM degree
- At least 2–3 years of applied machine learning experience
- At least 2–3 years of experience with Python, Java, C, C++, or another programming language
- Intermediate Python proficiency
- Experience with machine learning and deep learning methods
- Ability to complete tasks and projects with limited supervision
- Strong attention to detail and follow-through
- Excellent communication and teamwork skills
- Demonstrated leadership working with engineers, product managers, and ML practitioners
- Deep understanding of LLM techniques, including agents, planning, and reasoning
- Experience deploying ML models on AWS, including SageMaker and EKS
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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