Senior Machine Learning Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About Flexport:
At Flexport we believe global trade can move the human race forward. Thats why its our mission to make global commerce so easy there will be more of it. Were shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today companies of all sizesfrom emerging brands to Fortune 500suse 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. We 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.
Build the programs to help Flexport grow
Deploy production models and algorithms to improve Flexports fulfillment operations
The Opportunity:
Flexport is looking for a creative technically-minded Senior Machine Learning Engineer who is excited about solving challenging problems in fulfillment and logistics. We provide ecommerce merchants a full range of port-to-porch logistics solutions. This role focuses on building automated decision-making processes that ensure that we meet or exceed the expectations of our merchants for fulfillment speed and reliability while growing the network in a cost-efficient way.
Data is at the heart of our business and as a Machine Learning Engineer you will develop and deploy first-in-class science products to make fulfillment easy and efficient for our merchants in partnership with our Data collaboration with multidisciplinary product engineering and business/operations teams you will apply advanced Operations Research (OR) and Machine Learning (ML) methods to deliver data-driven insights and automated decision-making solutions in Flexports fulfillment products.
Because this is a globally distributed team the ideal candidate is self-motivated comfortable working independently and effective at clear written and verbal communication. You should thrive in driving projects endtoend from clarifying requirements and scoping solutions to deploying and monitoring production systems.
You will:
- Architect deploy and maintain scalable optimization AI and ML solutions to enable and improve the service of the fulfillment network including optimal inventory management and reliable delivery service
- Implement robust endtoend ML pipelines considering data preparation training validation deployment observability and retraining.
- Ensure production reliability by establishing testing monitoring and effective documentation practices.
- Contribute to projects that measurably impact business goals translating a business need to an actionable development plan and executing the plan successfully
- Work cross-functionally across Data Science Engineering Product Planning and Operations to implement robust and integrated production processes and monitoring
- Contribute to deployment and software engineering best practices for the team and across the organization
You should have:
- A degree in a quantitative field like Operations Research Applied Mathematics Computer Science etc.
- 7 years of industry experience in deploying optimization and/or machine learning models and developing practically efficient automated solutions
- Experience developing enhancing and maintaining end-to-end data science production processes including system design and architecture deployment and monitoring
- Proficiency with Python and experience with cloud platforms containerization and CI/CD. Experience with AWS and Snowflake preferred. Familiarity with Docker/Kubernetes and infrastructureascode (Terraform/CloudFormation) is a plus.
- Excellent written and verbal communication skills with the ability to explain complex technical ideas to both technical and nontechnical audiences.
- A compliance first attitude to keep our regulators happy and enthusiastic about Flexport since we operate in a heavily regulated industry.
Worried about not having any logistics experience
Dont be! Our mission is to make global trade easy for everyone. Thats why its 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. Thats 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.
Commitment to Equal Opportunity
At Flexport our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse dedicated and engaged workforce. 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.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job submitting your application you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at additional information.
Required Experience:
Senior IC
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
Cut costs, automate workflows, reliably move goods, go carbon-neutral, and improve your supply chain from end to end. It all starts here.
