WEX Inc. Logo

WEX Inc.

Sr. AI Scientist

Reposted 12 Hours Ago
Remote
Hiring Remotely in US
135K-180K Annually
Senior level
Remote
Hiring Remotely in US
135K-180K Annually
Senior level
The Sr. AI Scientist will develop and implement AI/ML models to solve complex problems, collaborate on innovative projects, and drive organizational growth.
The summary above was generated by AI

WEX is an innovative payments and technology company leading the way in a rapidly changing environment. Our goal is to simplify the business of running a business for our customers and free them to spend more time, with less worry, on the things they love. We are on a journey to build a unified, world class user experience across our products and services and leverage customer driven innovation to power our growth and  strategic initiatives.

About the Role

Are you a motivated and skilled AI Scientist eager to make a real impact? Join our innovative team and contribute to cutting-edge AI/ML applications that are transforming industries such as fleet & EV, Health Benefits, and Corporate Payments. In this role, you will apply your AI expertise to develop solutions that address complex, real-world problems for both internal and external customers. If you are excited about the potential of AI and machine learning and want to be part of a mission-driven organization, we would love to hear from you.

How You’ll Make an Impact 

  • Contribute to the development and implementation of AI/ML models and algorithms to drive innovation across various industries, including fleet & EV, Health Benefits, and Corporate Payments

  • Collaborate with cross-functional teams to identify and prioritize impactful use cases for AI/ML applications

  • Participate in rapid prototyping efforts, focusing on learning from experiments and iterating on solutions to identify the most effective approaches

  • Demonstrate creative thinking to develop innovative AI/ML solutions

  • Assist in embedding AI/ML models into web and mobile applications

  • Contribute to the development of solutions leveraging large language models and other advanced AI techniques to tackle complex problems, such as natural language understanding, text generation, and knowledge representation

  • Conduct data analysis and feature engineering to extract valuable insights and improve model performance

  • Collaborate with our AI platform team to design, develop, and deploy scalable and robust AI/ML solutions to solve business problems and improve operational efficiency

  • Monitor and optimize AI/ML models to ensure their accuracy, reliability, and performance in production environments

  • Stay updated with the latest advancements in AI/ML technologies and apply them to drive innovation

  • Actively participate in knowledge sharing and continuous learning within the team

Experience You'll Bring

  • 7+ years of relevant work experience (e.g., as a AI Scientist), including experience applying advanced analytics to planning and infrastructure problems.

    • OR 6+ years of relevant work experience with a Master’s degree in STEM or a related field

    • OR 3+ years of relevant work experience with a PhD in a related field

  • Advanced experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)

  • Experience aligning generative AI and advanced analytics with business objectives through iterative experimentation, rapid prototyping, and stakeholder engagement.

  • Proven experience designing and deploying Agentic AI workflows, enabling autonomous, goal-driven decision-making processes in dynamic business environments.

  • Comfortable integrating foundation models (e.g., GPT, Claude) with structured and unstructured data for real-time insights and task automation. 

  • Hands-on expertise implementing RAG (Retrieval-Augmented Generation) pipelines that combine large language models with contextual enterprise knowledge bases for scalable, trustworthy AI solutions. 

  • Advanced experience building, cleaning, and testing data quality for data sets preceding modeling 

  • Strong problem-framing, problem-solving, project management skills, customer service, and communication skills

  • Deep understanding of modeling and statistical approaches (e.g. logistic regression, linear regression, random forests, etc.)

  • Experience with end-to-end feature development (owning feature definition, roadmap development, and experimentation)

  • Experience distilling informal customer requirements into problem definitions, dealing with ambiguity, and competing objectives

What would make you stand out:

  • Holding a Master’s or PhD in a quantitative or computational field (e.g., Computer Science, Statistics, Applied Mathematics, Data Science) with a research focus on machine learning, optimization, or natural language processing.

  • Demonstrated success designing and deploying Agentic AI architectures, where AI agents make context-aware decisions and orchestrate workflows with minimal human intervention.

  • Strong track record implementing Retrieval-Augmented Generation (RAG) systems that combine large language models with internal knowledge sources—enhancing explainability, compliance, and accuracy in enterprise AI solutions.

What We Offer

  • A dynamic, innovative, and collaborative work environment that fosters creativity and encourages out-of-the-box thinking

  • Opportunity to work on cutting-edge AI/ML projects that have a significant impact on various industries, including fleet & EV, Health Benefits, and Corporate Payments

  • Access to state-of-the-art technology, tools, and resources to support your work and professional development

  • Mentorship from experienced AI/ML professionals who are leaders in their field and dedicated to helping you grow and succeed

  • Collaborative opportunities with cross-functional teams, allowing you to expand your skills and knowledge across various domains

  • Continuous learning and development opportunities, including workshops, conferences, and training programs to keep you updated with the latest advancements in AI/ML

  • Flexible work arrangements that promote work-life balance and support your personal and professional well-being

  • Competitive compensation package, including salary, benefits, and performance-based bonuses

  • Join a purpose-driven organization that is committed to making a positive impact on society through innovation and technology

  • Be part of a collaborative, inclusive, and supportive team that values diversity, integrity, and excellence

  • Enjoy a culture that promotes work-life balance, fosters continuous learning, and celebrates individual and collective achievements

  • Align yourself with a company that prioritizes customer-centricity, sustainability, and ethical business practices

  • A diverse and inclusive workplace that values and celebrates individual differences and fosters a sense of belonging

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: $135,000.00 - $180,000.00

Top Skills

AI
Claude
Gpt
Ml
Python
R
SQL

Similar Jobs

3 Days Ago
Remote or Hybrid
USA
125K-180K Annually
Senior level
125K-180K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.
Top Skills: AWSAzureGCPPythonRSnowflakeSQLTableau
6 Days Ago
Remote
United States
187K-253K Annually
Senior level
187K-253K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
As a Senior Data Scientist, you'll shape the AI-first mission at Dropbox by leveraging data insights, collaborating with teams, and driving product strategies.
Top Skills: PythonSQL
4 Hours Ago
In-Office or Remote
16 Locations
102K-222K Annually
Senior level
102K-222K Annually
Senior level
Fitness • Healthtech • Retail • Pharmaceutical
The Senior Data Scientist will solve complex problems, conduct predictive analysis, collaborate with partners, and lead analytics projects. They will utilize advanced statistical techniques and programming skills to analyze large data sets.
Top Skills: PythonRSQLTableau

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account