Senior Machine Learning Engineer
Confirmed live in the last 24 hours
adMarketplace

201-500 employees

Search advertising platform for efficient, targeted reach
Company Overview
adMarketplace stands out as a leader in the search advertising industry, offering unique solutions that allow brands to strategically position their products to consumers at the point of purchase intent. Their culture of efficiency and results is demonstrated by their ability to drive incremental reach and sales for clients, even under pressure to maximize efficiencies. This, coupled with their commitment to providing long-term value for users, makes adMarketplace a compelling place to work for those seeking to make a significant impact in the digital advertising space.
Data & Analytics

Company Stage

Private

Total Funding

N/A

Founded

2000

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

8%

2 year growth

29%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Tensorflow
Pytorch
Apache Spark
SQL
Java
Hadoop
CategoriesNew
AI & Machine Learning
Applied Machine Learning
AI Research
Requirements
  • PhD or MS in a quantitative field
  • 5-8 years of experience in a quantitative field
  • Experience building production systems or working with large ML projects in industry
  • Expertise in building AI/ML models in ads, relevance, ranking, recommendation systems, and search
  • Knowledge of statistical learning, machine learning, and deep learning
  • Experience in building distributed, low-latency, high-throughput batch and online ML services
  • Knowledge of deploying and maintaining ML services in a production environment
  • Experience in designing and deploying feature engineering pipelines in production
  • Exposure to model monitoring and ML ops including containers and orchestration
  • Fluency in Python or Java
  • Experience with Spark, Hadoop, SQL, and cloud services
  • Experience with ML packages such as Tensorflow, PyTorch, scikit-learn, and Spark ML
  • Ability to operate efficiently in a high-paced, multi-functional, and rapidly evolving environment
Responsibilities
  • Manage the entire process of AI/ML projects and solutions
  • Create and implement procedures and tools to track and evaluate the performance and accuracy of models and data
  • Provide thought leadership and subject matter expertise in machine learning, deep learning, and other AI techniques
  • Contribute to high-quality software at scale in a low-latency environment
  • Translate research papers into high-quality, production-ready code
  • Take responsibility and ownership of features and drive key model architectural decisions
  • Communicate effectively, collaborate, and build long-term relationships across the organization
  • Mentor junior team members in achieving engineering excellence and be a change agent on the team