Posted on 
Jan 30, 2024

Developer, Machine Learning

Mid-Senior ICs
Engineering, Data Science + Analytics
Movable Ink
Movable Ink
Movable Ink
Series D
251-1000
Marketing & Marketing Tech

Movable Ink is a software company that provides marketers with technology and expert services to create unique customer experiences.

Job Description

As a machine learning engineer, you will be part of our Applied AI and Machine Learning team. You will work alongside other scientists and engineers in a collaborative environment, contributing features and machine learning models to our core recommender systems and our DaVinci Personalization product.  This is an opportunity to work end-to-end on a large-scale machine-learning system that touches millions of customers, and a chance to continuously learn and help improve our solution as the field evolves.

  

  

Responsibilities:

  • Generate insights into customer behavior and derive modeling ideas for improving our content recommender system
  • Work with data engineers to define what additional customer data we might want to collect and help make it available in a format suitable for modeling purposes
  • Create meaningful machine-learning features that improve our content recommender’s performance measured through offline metrics and online  a/b tests
  • Build machine learning models and deploy them as part of our recommender system

 

Qualifications:

  • Master’s degree or equivalent experience (2+ years)  in a relevant field or industry
  • Solid understanding of machine learning fundamentals
  • High comfort level in Python or other programming language
  • Familiarity with an ML stack such as typical scientific Python libraries (pandas, numpy, sklearn, xgboost) or deep learning frameworks (we use Pytorch)
  • Familiarity with data analysis through SQL or a big-data processing framework such as Spark
  • Ability to collaborate with technical partners – you’ll be working closely with other teams to determine requirements for your work and to make design decisions that affect our stack
  • The idea of writing  and deploying production code, and getting real-world feedback on your models excites you
  • A desire to always be learning and contributing to a collaborative environment

 

The base pay range for this position is $160,000-180,000 USD/year, which can include additional on-target commission pay/bonus. The base pay offered may vary depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.

As a machine learning engineer, you will be part of our Applied AI and Machine Learning team. You will work alongside other scientists and engineers in a collaborative environment, contributing features and machine learning models to our core recommender systems and our DaVinci Personalization product.  This is an opportunity to work end-to-end on a large-scale machine-learning system that touches millions of customers, and a chance to continuously learn and help improve our solution as the field evolves.



Responsibilities:

  • Generate insights into customer behavior and derive modeling ideas for improving our content recommender system
  • Work with data engineers to define what additional customer data we might want to collect and help make it available in a format suitable for modeling purposes
  • Create meaningful machine-learning features that improve our content recommender’s performance measured through offline metrics and online  a/b tests
  • Build machine learning models and deploy them as part of our recommender system

 

Qualifications:

  • Master’s degree or equivalent experience (2+ years)  in a relevant field or industry
  • Solid understanding of machine learning fundamentals
  • High comfort level in Python or other programming language
  • Familiarity with an ML stack such as typical scientific Python libraries (pandas, numpy, sklearn, xgboost) or deep learning frameworks (we use Pytorch)
  • Familiarity with data analysis through SQL or a big-data processing framework such as Spark
  • Ability to collaborate with technical partners – you’ll be working closely with other teams to determine requirements for your work and to make design decisions that affect our stack 
  • The idea of writing  and deploying production code, and getting real-world feedback on your models excites you
  • A desire to always be learning and contributing to a collaborative environment

 

The base pay range for this position is $160,000-180,000 USD/year, which can include additional on-target commission pay/bonus. The base pay offered may vary depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.

Receive Tech Ladies'
newest jobs in your inbox,
every week.

Join Tech Ladies for full-access to the job board, member-only events, and more!

If you're already a member, we haven't forgotten you. We promise. It's a new system. If you fill out the form once, it'll remember you going forward. Apologies for the inconvenience.

No items found.
Angular JS
Angular JS
AWS
AWS
CSS
CSS
AWS Redshift
AWS Redshift
Django
Django
Ember.js
Ember.js
Docker
Docker
Golang
Golang
GraphQL
GraphQL
HTML
HTML
Hadoop
Hadoop
Google Cloud Platform (GCP)
Google Cloud Platform (GCP)
JavaScript
JavaScript
TensorFlow
TensorFlow
Scikit
Scikit
React
React
React Native
React Native
Engineering
Engineering
Data Science + Analytics
Data Science + Analytics
Remote
Remote