Machine Learning Engineer

Machine Learning Developer

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

Our ML Platform team is where smart solutions get created for the company. We build machine learning powered products 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:

Have the opportunity to build and productionalize new machine learning solutions in a small but growing team within a large organization. Work at a company where the business is increasing investment in Machine Learning solutions and sees the solutions as a competitive advantage.  Solve real world problems that span various domains within our business with ML solutions incorporating: Classification, Regression, NLP, GenAI, Computer Vision, Deep Learning, Forecasting, and Optimization.

In this role you will get to:

• Partner with product management to identify challenges, scope ML opportunities, and design solutions

• Understand business requirements and present technical solutions to non-technical team members

• Collaborate with engineering, data science, and product teams to implement ML and GenAI solutions in production environments

• Evaluate and improve existing machine learning models

• Leverage Google Cloud Platform and VertexAI for model training and deployment

• Enhance ML infrastructure and tools to align with industry best practices.

• Manage the end-to-end lifecycle of ML models, including serving, monitoring, and updating models in production.

• Design and implement scalable, low-latency ML model deployment pipelines. 

• Design self-service CI/CD pipelines to democratize ML deployment, enabling teams at organizational level.

• Work with big and novel data by data wrangling, feature engineering, model building, and visualization

• Design frameworks to efficiently process large-scale streamed data from upstream and downstream applications for testing and building ML models.

• Build DAGs, ETL pipelines, perform exploratory data analysis, and develop scalable solutions

• Technologies used: Python, Tensorflow, Pytorch, Spark, Langchain, Pandas, Spacy and many other tools and libraries need for CI/CD like githubActions, terraform, composer, dataproc 

Who you are:

• Masters or PhD qualification in a quantitative field such as Computer Science, Machine Learning/ AI, Mathematics, Physics, Statistics, etc.

• 3+ years of commercial/academic experience with demonstrated technical skills in one or more of the following areas: NLP, Classification, Statistical Modelling, Deep Learning, GenAI, and Forecasting

• Professional experience developing, deploying, and evaluating machine learning in an industrial setting, with a track record of delivering impactful results

• Proficient developing in Python, SQL

• Experience with ML/AI Frameworks and tools: PyTorch, Tensorflow, Sci-kit Learn, XGBoost, Pandas, Numpy and Flask, Langchain, Spark/Pyspark, Langchain

• Experience with Google Cloud Platform – Vertex AI or other cloud platforms for ML implementation

• Experience working with BigQuery, Composer, DAGs, Spark/Pyspark and other data tools

• Experience working with terraform, composer, dataproc and github workflows.

• Eagerness to learn new techniques, technologies, solve problems and contribute in a team environment

• Great interpersonal skills and experience working with cross functional teams

• 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 $130,000- $160,000K USD.