Senior Machine Learning Engineer

Senior Machine Learning Engineer – New York – Competitive Salary + Competitive Package + Opportunity to work with an Ambitious, Young, Growing Organisation + Unlimited PTO and flexible work policy!

This young and agile company, providing identity risk solutions is currently seeking a Senior Machine Learning (ML) Engineer with experience in customer-facing positions to join their growing team. You will assist with applying statistical and machine learning methods to build customer-facing models.

This is an excellent opportunity for an experienced Machine Learning Engineer to take the next step into a challenging position with a company offering significant growth potential.

About the Company:

Founded in the last 10 years, they are one the fastest growing companies in their space.

They are a fast-growing company that have built a platform that allows finance organisations and fintechs to strengthen their security defences.

Their mission is to allow companies to manage their identity and fraud risk.

Everything they do is entrenched in achieving engineering excellence.

Their culture is not corporate, and they like to trust their employees to take on a lot of responsibility and have input into the shape of growth of the organisation.

About the Senior Machine Learning Engineer Vacancy:

What you will be doing:

• Apply statistical and machine learning methods to build customer-facing models.

• Collaborate with application engineers to operationalize models you have built, making sure that they meet the strains for customer usage, including model performance tracking and having mechanisms to retrain models.

• Take the initiative to innovate on our current models and apply new methodologies to new and existing problems/projects/products.

• Thought leadership around data governance and standardization

• Set standards for feature/variable definitions

• Produce documents that give visibility into the data pipelines you’ve built.

– Liaise with the engineering and product leaders to provide guidance and leadership in roadmap planning.

– Foresee future support and maintenance overhead for the data-driven features and models you have built.

– Analyze our data sets to help inform product roadmaps.

– Devise optimization models to recommend ways to improve fraud and compliance workflows.

– Use heuristics, anomaly detection methods, and unsupervised machine learning methods to detect and predict fraud.

– Leverage a deep, data-driven understanding of the key drivers and metrics underpinning products and business lines to draw insights and make recommendations that will help the company grow and scale effectively

– Conduct bespoke analyses and research for new customer use cases that support future development of data science products

Ideal Requirements for the Senior Machine Learning Engineer Vacancy:

• Constantly building with end-solution in mind.

• Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work.

• Able to build strong cross-functional relationships.

• Naturally curious with a knack for asking tough questions.

• A team player. You believe that big things happen when the right people are working together.

• A fast learner

• Humble. Mistakes happen and owning them helps us learn and move on quickly

• An excellent teammate, willing to offer help and advice when needed

• Product-oriented. You have a desire to understand business, strategy and priorities to help guide future product development

You have:

• Several years of demonstrable experience doing modeling and data science work, enacting advanced analytics and building/iterating on real-world production end-to-end models.

• Some experience as a tech lead

• Advanced proficiency in scripting languages like Python and querying languages like SQL

• Experience with classification, clustering, regression, and time series models.

• Experience working with unbalanced data sets and regularization methods.

• Experience building models from scratch, iterating, and owning projects end to end.

• A BA in a quantitative field, or equivalent experience

• You have experience in a highly analytical role in fast-paced environments

• You have a knack for details, and making sure things are correct/accurate

Nice to Haves:

• Experience in fraud detection

• Experience sustaining production machine learning models

• Experience with AWS SageMaker

• Prior startup experience

• Airflow

• Spark

• Dbt

• Git

• Hex