Mid-Level AI/NPL Machine Learning Engineer

San Francisco, CA

Full-time

Remote

$87K/yr - $115K/yr

Entry, Mid Level

WEX is a fast-growing AI Engineering team focused on integrating artificial intelligence into their core products and business. The role involves collaborating with stakeholders to design and implement AI/ML platforms and solutions that enhance decision-making and drive business growth.

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Responsibilities

Collaborate with stakeholders to learn about our customers' needs and challenges.
Measure, inspect, and drive decisions using data.
Design, test, code, and instrument AI/ML platforms/tools.
Develop, evaluate, deploy, and monitor AI/ML models.
Develop and maintain CI/CD pipelines using tools such as GitHub Actions.
Implement Infrastructure as Code (IaC) using tools like Terraform.
Support live platforms/systems, promote proactive monitoring, rapid incident response, and continuous improvement.
Analyze existing platforms/systems and processes to identify bottlenecks and opportunities for improvements.

Qualification

Required

2+ years of experience as an AI/ML engineer or Data Scientist with strong software development skills or PhD in AI/ML
Bachelor's degree in Computer Science, Software Engineering, or related field; A Master or PhD in the area of AI/ML is a big plus
Proven track record of delivering end-to-end solutions using diverse technologies, with Java, C#, GoLang, or Python as your core programming language
Demonstrated ability to collaborate with stakeholders throughout the product delivery lifecycle
Evidence of innovative problem-solving skills
Experience with using Large Language Models for generative AI projects
Experience with using ML algorithms and platforms
Understanding of data processing techniques
Proficiency in at least one of the languages mentioned above
Experience in commonly used LLM models and/or ML packages including deep learning.
Strong data manipulation skills
Solid understanding of probability and statistics concepts (distributions, Bayesian inference, maximum likelihood estimation, etc.)
Experience with software development and the SDLC
Experience with Cloud technology such as AWS
Familiar with Kubernetes