Senior Machine Learning Scientist

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Data Science, Consumer Preferences, PersonalizationIndustries

Requirements

Candidates should have a strong background in machine learning and data science, with experience in developing, testing, deploying, and maintaining ML models and algorithms. A proactive problem-solving approach and a passion for machine learning are essential. Experience with data preprocessing, feature engineering, and optimizing AI/ML models is required. Familiarity with emerging ML techniques, deep learning methods, and advanced algorithms is also necessary.

Responsibilities

The Senior Machine Learning Scientist will develop and implement cutting-edge machine learning models and data-driven solutions. Responsibilities include conducting data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. They will design, build, and enhance efficient machine learning pipelines, ensuring scalability and performance. The role involves collaborating with cross-functional teams to integrate ML models into production systems and implementing tools for real-time model monitoring, evaluating performance, and driving continuous improvements. Additionally, the scientist will explore emerging ML techniques and present findings to stakeholders.

Skills

Machine Learning

Data Analysis

Taste AI

Python

TensorFlow

PyTorch

Scikit-learn

Cloud Computing

AWS

GCP

Azure

Big Data

Spark

Hadoop

SQL

NoSQL

Statistical Modeling

Deep Learning

Natural Language Processing

Computer Vision

Software Development

Problem-Solving

Communication

Qloo

AI-driven consumer preference prediction platform

About Qloo

Qloo offers a "Cultural AI" that predicts global consumer preferences and provides contextualized personalization and insights based on a deep understanding of consumer behavior and over 575 million cultural entities. Their privacy-first API and cutting-edge machine learning processes empower companies to uncover connections behind people’s taste in various cultural domains such as music, film, fashion, and dining.

New York City, New YorkHeadquarters

2012Year Founded

$72MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Consumer Software, AI & Machine LearningIndustries

51-200Employees