Senior ML Engineer, Customs
Build the programs to help Flexport grow
Flexport is building the first modern logistics platform to make global trade easier for everyone. We are solving complex problems on a global scale, and disrupting a multi-trillion-dollar industry that has remained stubbornly unchanged.
Customs is a key part of global trade. As the customs team, our mission is to make clearing customs seamless for our teams and clients. In Customs, we are striving to build a technology platform that enables zero-touch (fully automated) accurate and on-time Customs filing for our customers. To deliver a zero-touch experience, our automation solutions will leverage Artificial Intelligence(AI) and Machine Learning (ML) algorithms to build smart workflows, cost saving opportunities for customers and empowering them to make fast decisions. We are looking for experienced ML engineers to join our team in implementing solutions for Customs product classification, Duty Drawback, Customs Anomaly Detection, and many more trailblazer project initiatives.
- Be part of the customs engineering team to build products to grow our customs business, establishing objectives for AI/ML systems
- Work closely with business partners, and product managers building AI/ML algorithm prototypes based on project specifications.
- Running tests to assess AI performance
- Analyzing data gathered during tests to identify strengths and weaknesses of AI
- Implementing changes to algorithms to improve AI performance
- Troubleshooting and addressing problems with deployed AI to improve user experience
- Mentor and grow junior ML engineers.
- Build and launch products rapidly and incrementally. We ship to production dozens of times per day.
What you’ll build:
- Figure out the most efficient way for our customers and partners to participate in the process of moving freight across borders.
- Automate archaic filing processes and save the operations team thousands of phone calls per week.
- Deliver supply chain insights to logistics teams via a world-class analytics experience.
You should have:
- 5+ years of experience writing software, and AI/ML engineering background.
- Experience with structured and unstructured data
- Supervised and unsupervised learning
- Deep learning, reinforcement learning, and federated learning, Generative Adversarial Networks (GANs), language models (BERT, GPT-2/3/3.5).
- Ability to write robust code in Python and Java.
- Enthusiasm for innovation, experimentation, and self-development in the Customs domain.
- Experience and proven ability to work autonomously and in a team in an innovative and fast-paced environment whilst delivering to deadlines.
- An aptitude for learning quickly.
- Optional: experience in Ruby, Rails, Node.js, React, GraphQL, PostgreSQL
Our continuous releases are integrated with Buildkite and Github. On the frontend, we create our views with React, manage the flow of data with GraphQL/Relay, and test our application with Jest. On the backend, we’re in the process of decoupling our monolithic Rails app and introducing services using other languages, such as Java, Node.js and Go. Our data is persisted in mostly Postgres and Redis. Our stack is hosted on AWS using Docker.
Engineering Culture and Values:
Check out our Engineering blog.
At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make it easy and accessible for everyone. We’re shaping the future of a $8.6T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.
The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. At a valuation of $8 billion, we’re experiencing record growth and are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.
Worried about not having any logistics experience?
Don’t be! Our mission is to make global trade easy for everyone. That’s why it’s important to bring people from diverse backgrounds and experiences together with our industry veterans to help move the global logistics industry forward.
We know this industry is complex. That’s why we invest in education starting day one with Flexport Academy, a one week intensive onboarding program designed specifically to set every new Flexport employee up for success.
At Flexport, our ability to fulfill our mission of making global trade easy for everyone relies on having a diverse, dedicated and engaged workforce. That is why Flexport is committed to creating and nurturing an environment where anyone can be their authentic self. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
To learn more about what our tech teams have been up to, head to the Engineering Blog.
- Account Management
- Flexport 飞协博生态系统
- United States
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