CAREERS AT MOBI
Machine Learning Software Engineer
About Working at Mobi
Mobi works B2B with some of the largest travel, transport and hospitality brands on the planet. We use the scale of our customers to make a difference in the world. We grew the company out of MIT in 2013, and our goal is for each person on the team to have something they do better than anyone else, while also continuously learn from all their peers. Most positions are in-person, based out of our Davis Square office. We also are open to remote positions in Australia or Europe if if you are willing to own some of DevOps in addition to your core role. All roles have positions open for junior, senior, lead and principal / director team depending on your experience.
We recently closed a >20M series A. We are woman-led, and many identities are represented by the current team. Because we’re in the travel space, we encourage everyone on the team to spend a month a year working from anywhere, which we support with a travel stipend. Beyond that, we offer competitive compensation and benefits that are becoming progressively more Scandinavian as we grow.
As a Machine Learning Software Engineer for the Data Characterization team at Mobi Systems, you would play a critical role in the implementation and integration of our core POI characterization models and taxonomy models, as well as architecting the infrastructure for them. Your focus will be on efficient and scalable microservices that support characterization tasks like entity creation and relationship estimation for the tens of thousands of concepts that could be used for describing travel related activities, and incorporate the approach into different real-world planning systems for travel and transportation. The ideal candidate will be familiar with distributed systems and related models in one or several of these areas. You will have the chance to solve complex engineering problems and see your solutions come to life in different fields and across the world!
- BS/MS in computer science, or related field.
- 2+ years as full stuck engineer, backend engineer or ML engineer
- 3+ years experience in python
- 2+ years of relevant academic research or industry experience in implementing learning and/or network algorithms and building models.
- Experience in creating and optimizing Big Data processes, pipelines and architectures
- Through understanding of ML principles
- Strong written and verbal communication skills.
- Depth and breadth in state-of-the-art approaches for at least one of natural language processing, operations research, or constraint programming.
We are an equal opportunity employer; applicants, employees and former employees are protected from employment discrimination based on race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, and genetic information (including family medical history), or any other characteristic protected by law.
How to Apply
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