Senior Full-Stack ML Engineer - Priceline.com LLC : Job Details

Senior Full-Stack ML Engineer page is loadedSenior Full-Stack ML EngineerApply locations New York time type Full time posted on Posted 6 Days Ago job requisition id R5187

This role is eligible for our hybrid work model: Three days in-office.

Our ML Platform team is where smart solutions get created for the company. We build machine learning and genAI capabilities and features that provide a core competitive edge over our competitors and they also contribute to the success of our business partners. We take pride in being excellent at our craft and employing our skills to the benefit of our customers. If you thrive in a fast-paced, ideas-led environment, you're in the right place.

Why this job's a big deal:

We're looking for a Senior Full-Stack ML Engineerwith experience in Machine Learning and Generative AI to join a small but growing team within a large organization. In this role, you'll help create the infrastructure and tools that allow data scientists and application developers to build, test, and deploy ML/GenAI use cases into production following the best industry standards. You'll play a critical role in operationalizing AI solutions that drive business impact across areas like price optimization, forecasting, and experimentation

In this role you will get to:

• Build robust, scalable, and reusable capabilities that enable other teams across org to develop and deploy ML models and GenAI solutions from experimentation to production.

• Partner closely with product initiative to understand ML use cases and help bring them to life in production environments.

• Develop and maintain high-performance data pipelines to support machine learning workflows.

• Integrate machine learning models into real-time and batch production systems.

• Collaborate with engineering and DevOps teams to ensure reliable model deployment, monitoring, and maintenance.

• Contribute to ML platform enhancements and infrastructure automation.

• Support development of Generative AI capabilities and proof-of-concepts as the team explores new innovations.

• Communicate complex technical concepts clearly to non-technical stakeholders.

Tech Stack & Tools:

• Languages & Frameworks: Python, Vertex AI, TensorFlow, PyTorch, Keras, scikit-learn, Pandas, NumPy, Spacy

• Cloud & ML Ops: GCP (Vertex AI, BigQuery), Kubernetes, Docker, Kafka

• Data Processing: Spark, Airflow, real-time streaming pipelines

• GenAI Tools: Hugging Face, LangChain, OpenAI APIs (preferred)

Who you are:

• Master's or PhD in Computer Science, Machine Learning, Statistics, or a related field.

• 8+ years of experience in software engineering, machine learning, or related roles.

• Proven experience in building and deploying ML models in production environments.

• Strong Python development skills, including writing clean, maintainable, and testable code.

• Solid understanding of ML pipelines, feature engineering, model serving, and performance tuning.

• Experience with Generative AI concepts and tools (fine-tuning LLMs, prompt engineering, etc.) is a strong plus.

• Background in ML infrastructure, data engineering, or MLOps is highly desirable.

• Ability to bridge the gap between data science experimentation and production-grade deployment.

• Familiarity with pricing models, hotel/B2B domain experience is a bonus.

• Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust.

• The Right Results, the Right Way is not just a motto at Priceline; it's a way of life. Unquestionable integrity and ethics is essential.

#LI-JB1 #LI-Hybrid

There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. In addition to a competitive base salary, certain roles may be eligible for an annual bonus and/or equity grant.

The salary range for this position is $175,000 – 220,000 USD.

Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, motivated by our passion to help everyone experience the moments that matter most in their lives. Whether it's a dream vacation, your cousin's graduation, or your best friend's wedding - we make travel affordable and accessible to our customers.

Our culture is unique and inspiring (that's what our employees tell us). We're a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn't stabilized.

We're on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration.

Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Our sister companies include Booking.com, BookingGo, Agoda, Kayak and OpenTable.

If you want to be part of something truly special, check us out!

Priceline is following a hybrid working model, which includes two days onsite as determined by you and your manager (ideally selecting among Tuesday, Wednesday, or Thursday). On the remaining days, you can choose to be remote or in the office.

To be the best travel dealmakers in the world, we believe our team should reflect the broad range of customers and communities we serve. We are committed to cultivating a culture where all employees have the freedom to bring their individual perspectives, life experiences, and passion to work.

Priceline is a proud equal opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world. We'd love for you to join us and help shape what makes our team extraordinary.

Applying for this position

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