Position Details

Type Full-Time

Experience mid

Exp. Years 3-5 years

Education Master's or higher in ML or related field

Category AI & Machine Learning

About this role

Intercom seeks a Senior Machine Learning Scientist to develop and research innovative ML features for customer service AI. The role involves prototyping, evaluating, and deploying models that directly impact customer experience.

Key Responsibilities

Identify ML opportunities
Research algorithms
Prototype models
Evaluate customer impact
Collaborate with engineering

Technical Overview

The role involves applying machine learning techniques including deep learning, NLP, and transformer models using Python, SQL, and related frameworks. The environment emphasizes rapid prototyping and product impact.

Ideal Candidate

The ideal candidate is a mid-level machine learning scientist with 3+ years of applied ML experience, strong research background, and expertise in deep learning and NLP. They should be proficient in Python, SQL, and familiar with transformer models, capable of working closely with product teams to deploy impactful ML solutions.

Must-Have Skills

Applied machine learningPython programmingStatistics knowledgeResearch experienceDeep learningNLPSQL

Nice-to-Have Skills

PhD in ML or related fieldTransformer neural networksUnsupervised clusteringReinforcement learningData visualization

Tools & Platforms

SQLPythonTransformersDeep Learning frameworks

Required Skills

Machine LearningPythonStatisticsDeep LearningNLPTransformersClusteringSQLResearchExperiment Design

Hard Skills

Machine LearningMLPythonStatisticsDeep LearningNLPTransformersClusteringExperiment DesignSQL

Soft Skills

CommunicationCollaborationResearchProblem-solvingInnovation

Industry & Role

Industry SaaS

Job Function Develop and deploy machine learning models for customer service AI

Role Subtype Machine Learning Scientist

Tech Domains Python, SQL, Deep Learning, Natural Language Processing, Transformers

Keywords for Your Resume

machine learningMLPythonstatisticsdeep learningNLPtransformersclusteringoffline evaluationresearchproductized MLunsupervised algorithmstransformer neural networksSQLexperiment designAI researchunsupervised clustering

Deal Breakers

Lack of applied ML experience, No research or prototype deployment experience, Insufficient programming skills in Python, No experience with deep learning or NLP, No relevant education in ML or related fields

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