Position Details

Salary $125K – $234K USD / year

Type Not Specified

Experience mid

Exp. Years 3+ years

Education MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience or PhD in related field

Category AI & Machine Learning

About this role

This role involves developing and optimizing machine learning models, building large-scale data pipelines, and deploying AI solutions to enhance audience targeting and personalization.

Key Responsibilities

Develop ML models
Build data pipelines
Deploy models into production
Optimize model performance
Collaborate with research and product teams

Technical Overview

The environment includes ML frameworks like TensorFlow and PyTorch, data pipeline tools, and deployment in production environments, focusing on scalable AI solutions.

Ideal Candidate

The ideal candidate is a mid-level AI/ML engineer with 3+ years experience in deploying models, building data pipelines, and working with frameworks like TensorFlow or PyTorch. They should have strong analytical and problem-solving skills.

Must-Have Skills

3+ years in AI/MLExperience with deploying models into productionDeep understanding of statistical modelingBuilding large-scale data pipelinesProficiency in PythonScalaJavaor SQLExperience with ML frameworks (scikit-learnTensorFlowPyTorch)

Nice-to-Have Skills

PhD in Computer Science or related fieldExperience with research and product teamsKnowledge of data governanceExperience in audience creation and personalization

Tools & Platforms

scikit-learnSparkMLTensorFlowPyTorchPythonScalaJavaSQLData Pipelines

Required Skills

Machine LearningAIData ScienceModel OptimizationPredictive ModelsGenerative ModelsML FrameworksPythonScalaJavaSQLscikit-learnSparkMLTensorFlowPyTorchData PipelinesModel DeploymentAnalyticsStatistical Modeling

Hard Skills

Soft Skills

Problem-solvingCollaborationCommunicationAnalytical SkillsTeamwork

Industry & Role

Industry Technology

Job Function Develop and deploy machine learning models for audience and personalization

Role Subtype ML Engineer

Tech Domains Python, Scala, Java, SQL / PostgreSQL, TensorFlow, PyTorch, SparkML, scikit-learn, Data Pipelines

Keywords for Your Resume

Deal Breakers

Less than 3 years AI/ML experience, No experience with model deployment, Lack of proficiency in Python, Scala, Java, or SQL, No experience with ML frameworks

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Machine Learning Engineer 3

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