Senior ML Engineer (Technical Lead)

ppLooking for a role where you can use your ML skills to redefine how an entire industry solves core problems? We have that!br/Zerolook is changing how air travel is priced, and ML is at the core of our approach. As an early hire, you get to define the technical approach at the center of it all. /p h3Tasks /h3 ul libModel Architecture: /b Design and implement high-performance, low-latency ML models for fare and itinerary estimation. /li libData Engineering: /b Build and maintain robust data pipelines to process massive volumes of historical fare and schedule data. /li libIntelligent Routing: /b Develop confidence scoring systems to intelligently route traffic between ML models and current legacy stacks. /li libDomain leadership: /b develop core domain expertise in the field of using ML for fare and itinerary prediction. /li libTechnical Leadership: /b hire, lead and mentor other engineers as the team grows. /li libStrategic Collaboration: /b Partner alongside the founders with key organizations in the industry in developing the core Zerolook offering. /li /ul h3Requirements /h3 ul libEducation: /b Bachelors or Masters in Computer Science or related field. /li libBroad ML Knowledge: /b familiarity with the breadth of ML approaches and their relative strengths and weaknesses. /li libProduction ML Expertise: /b 4+ years in designing, training, and deploying ML models in production environments. /li libEngineering Foundation: /b Strong software engineering skills with experience building robust, automated data pipelines. /li libStartup DNA: /b Comfortable with the "0 to 1" phase-ambiguity, fast iteration, and taking extreme ownership. /li /ul pbBonus Requirements /b /p ul libTravel Tech: /b Previous experience with OTAs, metasearch, or GDS/NDC integration is a significant plus. /li libLarge scale applications: /b experience building applications serving over 10K QPS at latencies on the order of 1 sec. /li libEducation: /b Ph.D. in Computer Science and/or educational concentration in Data Science /li /ul h3Benefits /h3 pbCompensation /b /p pCHF + significant stock options /p /p #J-18808-Ljbffr