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Senior Machine Learning Engineer

PulsePointabout 1 month ago
Remote
Senior Level

Top Benefits

401(k) match
Comprehensive medical plans
Affordable medical, dental and vision options

About the role

Who you are

  • 5 years minimum of experience in machine learning/data science
  • Key Skills: Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks, Generalised Linear Regression, Multiclass Classification, Java, R
  • Advanced knowledge of Python using standard DS packages (numpy/pandas/scikit, etc.); Being able to optimize and speed-up code
  • 3+ years of RTB Auction or similar online technologies
  • In addition to the above, you’ll need to have strong knowledge in the following areas:
  • Algorithms and Data Structures (e.g., sorting, search tree, binary heap, trie; time & mem complexities of algorithms)
  • Probability and Statistics (e.g., hypothesis testing; Markov process and its stationary distributions, stochastic matrix and its properties; Bayesian inference)
  • ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 regularisation, Decision trees and their ensembles, collaborative filtering, Thompson sampling / MCMC, Neural Networks, etc.)

What the job involves

  • As a member of our Data Science Engineering team, the Sr. Machine Learning Engineer, AdTech will focus on optimizing real-time bidding strategies and auction mechanics to efficiently spend ad budgets and deliver against campaign targets
  • In addition to the above, you will work with the greater Data Science/Engineering teams on:
  • Analyzing and optimizing real-time bidding strategies and online auction mechanics
  • Developing new or improving existing models of event predictions
  • New feature engineering for multiple machine learning models:
  • User embeddings and clustering; fraud detection, etc
  • Cross-device user identification, cookieless mechanisms development
  • Mining different data sources
  • Supporting existing codebase for data integration and production support for our core models

The application process

    1. Initial Screening Call (30 mins)
    1. Technical Pre-Screening Call with Principal Data Scientist (60 mins)
    1. Team Interview (around 4-5 hours total)
    1. WebMD/IB Sr. Tech Leader (30 mins)

Benefits

  • Dollars and Sense: 401(k) match
  • Happy + Healthy: Comprehensive medical plans, affordable medical, dental and vision options, 100%-paid life & disability insurance
  • Break a Sweat: Free virtual fitness classes, Better Yourself Wellness program
  • Always Learning: Generous annual tuition reimbursement, ongoing team trainings
  • Take a Load Off: Paid vacation, sick time, and company holidays (including a floating holiday)
  • Good Ol' Fun: Team-building events, happy hours, holiday celebrations, and more!

About PulsePoint

Advertising Services
201-500

PulsePoint is an advanced data and technology company that is breaking new ground with programmatic solutions for healthcare organizations, to personalize information and improve outcomes.

We are leading a revolution in radical health personalization to help organizations improve how they provide care, education and support to people when they need it most.

Through programmatic automation, we interpret the hard to read signals of the customer journey and understand the connection points between relevance and engagement. This enables us to deliver a suite of tools that allow for the seamless activation of health options.