Revolutionize the future of Employee Platforms with cutting-edge AI and Data Science! Join a dynamic team dedicated to creating innovative, cloud-centric solutions that transform client experiences and drive industry-leading advancements

As a Machine Learning Engineer within the JPMorgan Chase team, you will be instrumental in designing, implementing, and deploying machine learning models that adhere to our global technology standards and firm governance requirements. Your role will involve close collaboration with machine learning scientists, data scientists, software engineers, and product teams to integrate and scale machine learning solutions that promote significant business impact. Your responsibilities will include designing and implementing machine learning models in alignment with global technology standards and firm compliance requirements, deploying and scaling models to production environments, fine-tuning models for optimal performance, and continuously monitoring model performance to maintain and improve accuracy and efficiency.

Job Responsibilities:

• Design and implement machine learning models in collaboration with machine learning scientists, ensuring alignment with global technology standards and firm compliance and governance requirements.
• Deploy and scale models to production environments, ensuring robustness and reliability.
• Fine-tune models for optimal performance and efficiency, addressing any issues that arise.
• Work closely with data scientists, software engineers, and product teams to integrate machine learning solutions into existing systems and workflows.
• Continuously monitor model performance, making necessary adjustments to maintain and improve accuracy and efficiency.

Required skills and qualifications:

• Proficiency in Python 
•  Experience with one or more of the following: PyTorch, MLFlow, TensorFlow, or Scikit-learn.
•  Strong understanding of software engineering principles and practices, including version control, testing, and code optimization.
• Skills in data preprocessing, feature engineering, and building data pipelines. Experience with Apache Spark, particularly PySpark
• Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models.

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