Before we dive into the role, let’s talk about flexibility. At Zip, our office is in New York City but we can hire from anywhere across the United States. Our Zipsters can choose where and when they work by taking full advantage of our hybrid work environment.
So whether you’re fully remote, mostly in the office or a mix of the two, you’ll be empowered to do whatever brings out your best.
We are Zip, a global Buy Now, Pay Later company providing fair and seamless solutions that simplify how millions of people pay. Our journey began in Australia, has taken us to multiple different markets and we’re just getting started.
We exist to create a world where people can live fearlessly today, knowing they’re in control of tomorrow. Focused on product innovation that puts people at the centre, we put the financial well-being of our customers and merchant partners at the heart of everything that we do.
We are proud to be a global business built around our US and ANZ core markets working with merchant partners including Amazon, Best Buy, eBay and Uber. United by our mission to be the first payment choice, everywhere and every day, we work to create a world where people can live fearlessly today, knowing they are in control of tomorrow. Through our Values - Customer First, Own It, Stronger Together & Change The Game - we represent the next generation of payments, helping people across the globe to fearlessly take control of their financial future.
We are Zip, and we are just getting started.
The vision of the Machine Learning (ML) Engineering team at Zip is to drive and enable ML usage across the company and at all stages of our product’s life cycle. You’ll be in charge of making that vision a reality as we fundamentally believe machine learning engineering is the engine of our world-class data science and will lead us as a company.
As the Senior Machine Learning Engineer, you will be the connective tissue between data engineering, data science, product, and software engineering. Supporting our Data Science teams in data sourcing, cleaning and access, FeatureStore, model development, and model observability. Build automation and productionization, and provide ML Eng consultancy to all parties. You will work on cross-functional products and push the envelope on data and ML-focused solutions.
Help in identifying data gaps and mismatches in the MLE platform - 1:1 alignment between MLE platform data and production data served to model.
Builds robust framework for model and variables monitoring
Replatform model deployment - Working with different data patterns/sources/warehouses, model deployment (API service deployments in ML)
Able to roll up your sleeve and help the ML team understand how to build models in a new platform/framework
Data pipeline & Model monitoring- automates the model monitoring and helps helps deploy robust data pipelines & dashboard; guides the junior-level MLEs/analysts
Owns/Manages Daily decisioning processes (helps Zip sustain/maintain our platform in terms of profitability)
Efficiently guides/coaches the team
As a Senior MLE II - you will be an influencer on the roadmap for MLE and lay out the framework for migrating to a more robust MLE platform by closely working with Data Engineering, Infrastructure and risk/engineering teams
5+ years of experience building machine learning systems in applied settings
Solid understanding of common ML problems and solutions, such as classification, clustering, data processing, feature engineering, modelling, training, evaluation, etc.
Extensive experience in ML Ops, including the design, implementation, optimization, management, and maintenance of ML pipelines. A proven track record in ML engineering; designing and implementing ML systems
Expertise with ML infrastructure, Ops, ML pipelines, algorithms, statistical methods, and analytics to solve real-world engineering problems
Familiarity with industry standards and best practices in ML Ops, familiarity with (CI/CD) practices and tools
Experience with building container-based systems; relational and dimensional data modelling techniques
Proven software engineering skills across multiple languages Python, R, C/C++, etc., and ML packages (e.g., scikit-learn, TensorFlow, Caffe, Theano, Torch)
Experience in cloud infrastructure (e.g., Azure, AWS, GCP)
Experience in Agile Development, such as sprint planning, project management, etc.
Excellent verbal and written communication skills this team’s for you
Experience with Managed ML, such as Azure ML, AWS Sagemaker, etc.
Experience with feature stores such as Feast, Feathr, etc.
Familiarity with (CI/CD) practices and tools
Experience with Apache Spark, Databricks, and Snowflake Data Cloud
Experience with managing containerized services (Kubernetes, Docker, etc.)
Experience with Microsoft Azure Cloud Services
What’s in it for you?
We offer a variety of perks and benefits to support you at both work and home. Here’s a taste of what you can expect!
Pay Range: $161,000 - $222,000 USD
Be a part of a team that reflects the diversity of our customers
We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique.
Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know if there are any adjustments that need to be made to ensure you have a fair and equitable experience.
And finally…get to know us
Zip is a global ‘Buy Now, Pay Later’ company that gives our millions of customers simpler and fairer ways to pay.
We are proud to be a global business built around our US and ANZ core markets working with merchant partners including Amazon, Best Buy, eBay and Uber. United by our mission, purpose and values - Customer First, Own It, Stronger Together & Change The Game - we are the next generation of payments, helping people across the globe to fearlessly take control of their financial future.
We are Zip, and we are just getting started.
We are a proud 2023 Circle Back initiative employer and will respond to every applicant.Apply now