Job Details

Senior AI/ML Engineer

  2025-05-27     WEX     San Francisco,CA  
Description:

(*) The candidate must reside within 30 miles of one of the following locations: San Francisco Bay Area, CA; Portland, ME; Chicago, IL.

About the Team/Role

We are the AI Engineering team at WEX. We enable our product development teams to move quickly and deploy AI functionality into their applications in a scalable manner. We are cloud-first and aim to automate everything, including infrastructure, testing, and deployment. If you're interested in ChatGPT, Large Language Models, MLOps, DevOps, and working with new tools and technologies, then this is the place for you!

How you'll make an impact

  • A highly motivated engineer who loves working on small, highly performing teams.

  • Collaborative, a solid communicator, and able to work well with your team and stakeholders.

  • A professional who can advocate strongly for positions and still support team decisions even if they don't align with your personal views.

  • Comfortable balancing the need to move fast with the realities of working in highly regulated spaces like payments and healthcare.

  • Design, implement, train, and maintain machine learning algorithms and ML system pipelines.

  • Work closely with our AI platform team and engineering teams to integrate AI components and models into WEX systems.

  • Manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery.

  • Design and implement RESTful APIs to facilitate communication between components and ensure smooth application operation.

  • Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders.

Experience you'll bring

  • Minimum 5 years of application development experience using Python.

  • Minimum 3 years of experience building, training, and deploying machine learning models.

  • Strong proficiency with Python libraries such as Pandas, Numpy, and deep learning frameworks like PyTorch or TensorFlow.

  • Bachelor's Degree in Computer Science, Engineering, or a related field.

  • Familiarity with cloud technologies (AWS, Azure, GCP) and Infrastructure as Code (IaC) frameworks like Terraform.

  • Experience applying DevOps principles to software development processes.

  • Proficiency in version control systems, especially GitHub.

  • Excellent problem-solving skills and a proactive approach to challenges.

  • Experience in the financial industry is a plus.

The pay range for this role is $128,000.00 - $170,000.00, reflecting the low and high end of the anticipated salary range. Actual compensation will vary based on qualifications, skills, and proficiency. Benefits include health, dental, vision, retirement plans, paid time off, HSA, FSA, life and disability insurance, tuition reimbursement, and more. Most roles are eligible for bonuses or commissions as applicable.

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