Applied AI ML [Multiple Positions Available]
J.P. Morgan
Software Engineering, Data Science
Palo Alto, CA, USA
USD 166,700-195k / year + Equity
Duties: Design and implement real-world solutions that improve business processes and outcomes using deep learning and software engineering. Collaborate with cross-functional teams to identify practical opportunities for AI integration and driving tangible innovation within global business operations. Drive strategic planning and execution to ensure AI initiatives are aligned with the organization's goals and objectives. Evaluate the effectiveness of AI solutions through direct testing and iteration, making necessary adjustments to optimize performance and impact. Design and implement real-world solutions that improve business processes and outcomes using AI and natural language processing. Guide the development and deployment of Generative AI applications, such as Search, Chatbots, and Agents. Mentor and guide junior team members.
QUALIFICATIONS:
Minimum education and experience required: PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field of study plus 1 year (12 months) of experience in the job offered or as Applied AI ML Associate, Software Engineer, Data Scientist, Applied Scientist, Machine Learning Engineer, Applied AI ML Engineer, or related occupation. The employer will alternatively accept a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field of study plus 3 years (36 months) of experience in the job offered or as Applied AI ML Associate, Software Engineer, Data Scientist, Applied Scientist, Machine Learning Engineer, Applied AI ML Engineer, or related occupation.
Skills Required: This position requires one (1) year of experience with the following: Developing and deploying AI applications using natural language processing, machine learning, and deep learning techniques; Applying AI and ML techniques to solve business problems in the Financial Services sector; Building AI and ML solutions using AWS.
Job Location: 3223 Hanover St, Palo Alto, CA 94304.
Full-Time. Salary: $166,700 - $195,000 per year.
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
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Design and implement real-world solutions that improve business processes and outcomes using deep learning and software engineering.