# Staff ML Scientist / Engineer

**Company**: Wise
**Location**: Tallinn, Estonia
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://jobs.smartrecruiters.com/Wise/744000161484812-staff-ml-scientist-engineer?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/staff-ml-scientist-engineer-e0ff761a-c24/

## Description

We are looking for a strong technical contributor with a background in machine learning and systems engineering to join our team. As a Staff ML Scientist / Engineer, you will be helping us create an entirely new network for the world's money. You will be working on a highly autonomous role, identifying low-hanging fruit worth tackling to move us ever closer to the vision you create for the problem-space you own.

About the Role: Our team exists to enable hundreds of specialized risk ML models – their lifecycle, governance and interface with compliance – while removing as much of the maintenance toil from Data Scientist and product teams. We split the work in two tracks: Labels and Models.

- Labels: central platform for risk labels

- Models: libraries and services to experiment, eval, promote and track models

You will be contributing to:

- Software engineering: e.g. testing + CI/CD, monitoring/alerting + disaster recovery

- MLOps: Terraform and AWS infra, ML governance for hundreds of models

- Data Engineering: distributed processing at terabyte scale

- Science: drive experiments to prove value of new methodologies / algorithms applied to cross-team domains

Qualifications:

- Extensive experience with end-to-end distributed data systems, specially ML-centric ones;

- Previous experience as Data/ML Scientist/Engineer in large scale product;

- Excellent Software Engineering skills. Ability to work with Python and Java;

- Strong drive to solve problems for Data Scientists, high agency in complex scenarios;

- Ability to build incrementally, think from first principles and prioritize simpler solutions;

- Good communication skills with technical and non-technical audiences, to engage and manage project stakeholders;

- Strong problem solving skills with the ability to help refine problem statements and propose solutions taking effort-impact-scalability tradeoff into account;

Some skills that will make you stand out:

- Apache Spark, Iceberg, Kafka, dbt, GraphFrames, Ray

- Scikit-Learn, XGBoost, PyTorch, MLFlow, Graph ML

- AWS (S3, EMR, SageMaker, Lakeformation)

- Terraform, Docker, GitHub CI/CD

- A/B testing. ML explainability

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Python
- Java
- Machine Learning
- Data Engineering
- Software Engineering

### Nice to have
- Apache Spark
- Iceberg
- Kafka
- dbt
- GraphFrames
- Ray
- Scikit-Learn
- XGBoost
- PyTorch
- MLFlow
- Graph ML
- AWS
- Terraform
- Docker
- GitHub CI/CD
- A/B testing
- ML explainability

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Source: [Apply at jobs.smartrecruiters.com](https://jobs.smartrecruiters.com/Wise/744000161484812-staff-ml-scientist-engineer?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)