Software Engineer II

Responsibilities

Job Description

• Developing data pipelines to collect, process, and analyze diverse datasets at scale.
• Designing and implementing deep learning architectures capable of processing large volumes of data.
• Analyzing model performance by conducting experiments and tests to evaluate effectiveness and identify opportunities for improvement.
• Building and managing agentic workflows to support scalable and efficient AI/ML solutions.
• Optimizing and fine-tuning existing machine learning models to improve performance and effectiveness.
• Building and maintaining pipelines to monitor, manage, and continuously improve production machine learning and deep learning models.
  
  

• A bachelor’s, master’s, or PhD degree in computer science or a related field, with at least 2–6 years of relevant experience.
• Experience training, building, and deploying large-scale deep learning models is required.
• Experience designing and implementing sequence and time-series models is required.
• Expertise in Python, with hands-on experience using deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Git, CI/CD pipelines, and MLOps practices for automating model deployment and managing production machine learning workflows.
• Working knowledge of Linux, SQL, Git, and Bash scripting.
  
  

• Generous paid time off policies
• Savings plans and other financial wellness tools available in each region
• Hybrid working opportunities
• Free breakfast, lunch, and snacks daily
• In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
• Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
• Volunteer opportunities and charitable giving
• Social events, happy hours, treats, and celebrations throughout the year
• Workshops and continuous learning opportunities