Rocket Travel is looking for a Lead Machine Learning Engineer to build scalable end-to-end data science solutions for our data products. You will work with data engineers, data scientists, and application developers to build machine learning and deep learning models and deploy them to production environments.

The Data Science Team at Rocket oversees building internal-facing decision making tools and product-facing production models that aid in scaling our growing business.

Rocket Travel is a place where you:

• Work with a group of intrinsically motivated people with a track record for building successful new businesses from scratch.
• Embody curiosity, community, and accountability. We live and build products by these values every day.
• Own decisions and take action that can be implemented in a matter of days (or hours).
• Get inspired and encouraged to vacation faster, with an annual vacation stipend.
• Receive a competitive compensation package, including bonus, 401k with match, flexible vacation time, maternity and paternity benefits, health, vision, and dental insurance.
• Total Compensation is based on experience - Salary: $140k -190k, Bonus: up to 25%.
• Can have the option to work remotely. Though we have great offices in Chicago's West Loop and in NYC's Empire State building, we have a hybrid team, a flexible work environment, and we welcome full-time remote applicants.
• Share your passion for travel with equally adventurous teammates.
• Work within the largest online travel company in the world. Rocket Travel creates B2C and B2B2C travel products and is part of Booking Holdings (BKNG). We have many worldwide partners and a diversified business. Despite the world's current situation, Booking Holdings has been rated the healthiest company in travel, and Rocket itself is already seeing travel demand surpass pre-pandemic levels

As a Lead Machine Learning Engineer at Rocket Travel, you get to:

• Own the MLOps life-cycle and ensure high availability and performance of our machine learning applications. Independently establish technical requirements for various machine learning initiatives by collaborating with data scientists, data engineers and software engineers
• Build and operate complex, end-to-end, machine learning pipelines and design production APIs and data delivery processes
• Lead the technical design, development, and implementation of machine learning applications using both established and new technology platforms
• Leverage continuous integration and deployment best practices to ensure successful deployment of ML models and application code
• Actively participate in building and deploying innovative, production-grade ML services. Improve logging, monitoring, and alarming of Rocket's ML services
• Collaborate closely with Data Scientists, Data Engineers, and Software Engineers to establish technical requirements for a range of machine learning initiatives
• Follow industry best practices, stay up-to-date with the latest research, and extend the state of the art in machine learning

About you:

• Minimum of 4 years of programming experience with Python and SQL
• Minimum of 3 years of experience with an industry-recognized ML framework, such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
• Minimum of 3 years of experience productionizing, monitoring, and maintaining ML models. Bonus points if you have worked with MLflow, java/scala and/or AWS
• Extensive experience in developing and deploying data science solutions in real-world scenarios, including but not limited to: deep natural language processing models and learning to rank models
• Strong engineering mindset and understanding of software engineering principles, Agile methodologies, CI/CD, and distributed systems
• Intellectually curious and self-directed problem solver, keen to work on a variety of data projects and independently search for answers
• Clear and effective communicator with both technical and non-technical team members

About Rocket Travel

Rocket Travel partners with loyalty programs around the world to make travel even more rewarding. Our customers can earn and redeem miles, points, and gift cards, or save big with exclusive discounts, for booking travel accommodations around the world, from global favorite brands to boutique bed and breakfasts. We also help our partners curate vacation excursion planning and car rental services, with a completely branded experience from the first search to check-out from their stay.

We attract customers from every corner of the globe with a user experience that's built in-house from ideation to finished product: our team includes front- and back-end developers, customer service, data analysts, designers, marketers, accountants, partnership sales, and managers. We have offices in Chicago, NYC, Bogota, Kuala Lumpur, Manila, and Cebu, as well as colleagues working remotely across four continents. Our global partnerships range from world-class airlines to international banks to large-scale shopping platforms.

We began in 2013 as a start-up, were acquired by Bookings Holdings two quick years later, and we've been growing rapidly ever since. Rocket Travel is dedicated to creating a diverse, equitable, and inclusive workplace where everyone has the opportunity to reach new heights in their career, and expand their knowledge working alongside talented, dedicated colleagues. We encourage all applicants with a touch of wanderlust to apply to our team, as we work toward helping our travelers reach the vacation of their dreams.

Candidates should be authorized to accept employment in the US from any employer, should be willing to start within three weeks of accepting an offer, and should be able to work the same daily working hours as our Chicago office.

Diversity, equity and inclusion are Rocket Travel priorities, and we are looking for candidates who will contribute positively to the company's mission to be an inclusive environment. Rocketmiles has multiple employee resource groups, including a diversity and inclusion committee, and has committed to DEI goals in hiring, employee retention, and the overall demographics of the organization. DEI is an important element of our values and we conduct ongoing and regular training for our teammates in an effort to foster collaboration, improve morale, and support one another.