Senior Machine Learning Engineer, PulsePoint
AdTech
More information about location
Healthcare marketing data company
Posted today
Healthcare marketing data company
201-500 employees
Posted today
More information about location
201-500 employees
Company mission
To use real-time clinical data to help boost the healthcare industry and improve patient outcomes.
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
Application process
- 1) Initial Screening Call (30 mins)
- 2) Technical Pre-Screening Call with Principal Data Scientist (60 mins)
- 4) Team Interview (around 4-5 hours total)
- 5) WebMD/IB Sr. Tech Leader (30 mins)
Our take
PulsePoint is a healthcare tech provider that uses real-time data to provide insight into patients. It uses machine learning and programmatic automation to better understand this data, enabling clinical diagnoses and solutions to be delivered more quickly and accurately.
With its range of analytics solutions, PulsePoint aims to improve predictive aspects of healthcare. The company recently launched its Signal technology, which draws together a range of physician-to-patient data, enabling healthcare organizations to cross-reference with their own information to gain fresh insight.
The global Big Data market for healthcare is expected to be worth $78 billion by 2027, according to an analysis by Emergen Research, and PulsePoint is setting out to be a big part of this growing sector. Having been acquired by Internet Brands in 2021 but remaining an independently run entity, it will benefit greatly from the expertise and market reach of its parent company and their portfolio of health media companies, including WebMD and Medscape.
Steph
Company Specialist at Welcome to the Jungle
Insights
14% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jun 2013
$3m
EARLY VC
Jan 2013
$3m
EARLY VC
Total funding: $15.5m
Company 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!
Company HQ
Midtown East, New York, NY
Leadership
Sloan Gaon
(CEO)Qualified as an Attorney before moving into Management roles at TurboChef, RegistryPro, MIVA, and more organizations. They then left their role as General Manager of GrubHub in March 2012 to found PulsePoint in July 2012.
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