WEX Inc. Logo

WEX Inc.

Senior Machine Learning Engineer

Job Posted 7 Days Ago Posted 7 Days Ago
Be an Early Applicant
10 Locations
128K-170K Annually
Senior level
10 Locations
128K-170K Annually
Senior level
The Senior Machine Learning Engineer will develop, maintain ML algorithms, integrate AI components, and work with cloud technologies while collaborating within a team.
The summary above was generated by AI

(*) The candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; San Francisco Bay Area, CA; 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 thirst for working with new tools and technologies, then this is the place to be!

How you’ll make an impact

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

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

  • A professional who can advocate strongly for positions and still be 100% behind team decisions even if they don’t go your way.

  • Are 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 line of business engineering teams to integrate AI components and models into WEX systems.

  • Collaborate with the team to 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 various components and ensure smooth operation of our applications.

  • 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 ability to use key Python libraries such as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow.

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

  • Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform.

  • Experience applying DevOps principles to software development processes.

  • Proficiency in version control systems, particularly GitHub.

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

  • Experience in the financial industry is a plus.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $128,000.00 - $170,000.00

Top Skills

AWS
Azure
Ci/Cd
GCP
Git
Numpy
Pandas
Python
PyTorch
TensorFlow
Terraform

Similar Jobs

11 Days Ago
Remote
Hybrid
6 Locations
135K-225K Annually
Mid level
135K-225K Annually
Mid level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Sr. Machine Learning Engineer will build scalable ecosystems, collaborate across teams, innovate with ML technologies, and maintain data pipelines while ensuring coding quality and best practices.
Top Skills: AnsibleAWSCassandraChefDockerElasticsearchGCPJvm TechnologiesKafkaKubernetesPythonSparkTerraform
7 Days Ago
Remote
Hybrid
7 Locations
161K-284K Annually
Senior level
161K-284K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Machine Learning Engineer will lead MLOps efforts, design services, integrate data streams, and improve ML tooling for detecting financial crimes.
Top Skills: Machine LearningMlopsPythonSoftware EngineeringStatistical Analysis
13 Days Ago
Easy Apply
Remote
Hybrid
Canada
Easy Apply
133K-172K Annually
Senior level
133K-172K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Develop and enhance ML and generative AI solutions to improve physical operations efficiency and safety, collaborating cross-functionally to lead projects from inception to execution.
Top Skills: Agile/ScrumC++GoJavaMachine Learning ToolsPython

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account