Machine Learning Engineer - Portland, United States - 24 Seven Talent

24 Seven Talent Portland, United States

2 days ago

Description

Job title:
Machine Learning Engineer

Contract type:

Location:
Portland

Discipline:

Remote:
Yes

Reference:

Contact name:
Adrienne Salzwedel-Bass

Job description

About the Role:

The machine learning team is looking for a Senior Machine Learning Engineer to help build data-driven products using machine learning/data science.

This is an opportunity to be an influencer of and a significant contributor to the direction and growth of the team.

As a full-stack machine learning engineer, you will:

Help solve a variety of problems using data to influence the experience of millions of lenders and borrowers around the world.

Ideate, prototype, and productionize machine learning models.
Build and scale production-ready ML and back-end infrastructure and services.
Influence and help execute our product strategy by collaborating with product managers, business stakeholders as well as other engineers.
Help foster a spirit of innovation and collaboration both within the team and across the organization.
Work to create impactful and sustainable solutions to complex problems by taking bold and measured risks.
Balance your technical excellence with a high E.Q., showing up with a sense of empathy, awareness, and responsibility.
Share the knowledge you bring and gain generously with your peers to perpetuate a culture of engineering excellence.

About You:

You have a BS in a quantitative discipline (computer science, engineering, physics, mathematics, or a related field) or comparable work experience.

You have 3+ years of experience in prototyping and productionizing data and machine learning-driven products.

You have experience in one or more of the following : - recommender systems, predictive modeling, reinforcement learning (e.g., multi-armed bandits), personalized search, computational optimization, natural language processing, deep learning, causal inference especially as applied to e-commerce/marketplaces/email marketing.

You have experience with Docker, Kubernetes, and workflow orchestration tools (e.g. Airflow).
You have coding skills in Python and SQL (nice to have Kotlin or Java experience).
You have exposure to distributed systems and architectures (such as Kafka).
You have the ability to communicate findings and recommendations to technical and non-technical audiences.
You are willing to learn, take initiative, and wear multiple hats as required.

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