Senior Machine Learning Engineer

OpenTeams

Machine Learning Engineer developing deep learning models for customer behavior prediction. Collaborating with data scientists to optimize model architecture and enhance business decisions.

Posted 6/30/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $145,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Develop and refine features for deep learning models, working with large-scale customer and behavioral datasets
Implement model architecture changes informed by recent academic research (e.g., papers from NeurIPS and similar venues)
Collaborate with client teams to understand business context and translate requirements into technical solutions
Optimize model training pipelines for efficiency and scalability
Document approaches, findings, and technical decisions for knowledge sharing across teams
Participate in code reviews and contribute to engineering best practices

Requirements

What you’ll need

Strong proficiency with a deep learning framework (e.g. Pytorch, tensorflow)
Hands-on experience with feature engineering for predictive models
Solid foundation in machine learning fundamentals (supervised learning, neural network architectures, optimization)
Ability to read, understand, and implement techniques from ML research papers
Python proficiency in a data science/ML context
Comfortable working in ambiguous environments and adapting to unfamiliar tooling.

Benefits

Comp & perks

100% employer paid medical premiums for employees
Self-managed PTO with a minimum time off requirement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Deep LearningFeature EngineeringMachine LearningNeural Network ArchitecturesOptimization TechniquesModel Architecture ChangesTechnical DocumentationCode ReviewPredictive ModelingData Analysis

Soft Skills

CollaborationAdaptabilityProblem-Solving