Position Details

Salary $187K – $261K USD / year

Type Not Specified

Experience mid

Exp. Years Not specified

Education Bachelor's in Computer Science or related field

Category AI & Machine Learning

About this role

This role involves building and optimizing recommendation models for CRM, applying deep learning and causal inference techniques, and collaborating with engineering teams to deploy scalable ML solutions.

Key Responsibilities

Build recommendation models
Apply deep learning and causal inference
Design A/B experiments
Collaborate with ML engineers
Translate business goals into ML models

Technical Overview

The technical environment includes Python, deep learning frameworks like TensorFlow and PyTorch, data analysis, and model deployment in a production setting.

Ideal Candidate

The ideal candidate is a mid-level AI/ML scientist with experience in recommendation systems, deep learning, and data analysis, capable of collaborating with engineering teams and mentoring junior staff.

Must-Have Skills

PhDMSor BS in Computer Science or related fieldExperience with recommendation systemsDeep learning experienceA/B experiment designCollaboration with ML engineers

Nice-to-Have Skills

Causal inferenceDeep learning architecturesPersonalization systemsModel deploymentCustomer engagement

Tools & Platforms

TensorFlowPyTorchA/B Testing toolsData pipelines

Required Skills

PythonDeep LearningCausal InferenceA/B TestingRecommendation ModelsMachine LearningData AnalysisTensorFlowPyTorchML Deployment

Hard Skills

PythonDeep LearningCausal InferenceA/B TestingRecommendation ModelsMachine LearningData AnalysisTensorFlowPyTorchML DeploymentData Mining

Soft Skills

CommunicationCollaborationMentoringProblem-solvingAdaptability

Industry & Role

Industry Technology

Job Function Develop and optimize machine learning recommendation systems for customer engagement

Role Subtype ML Engineer

Tech Domains Python, Deep Learning, TensorFlow, PyTorch

Keywords for Your Resume

machine learningdeep learningrecommendation modelsA/B testingrecommendation systemsTensorFlowPyTorchdata analysisML deploymentcustomer engagementcollaborationmentoringAI researchpersonalizationcausal inference

Deal Breakers

Lack of experience with recommendation models, No deep learning experience, No collaboration experience, No relevant educational background

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Senior Machine Learning Scientist

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