Machine Learning Engineer

Apricot

Machine Learning Engineer with strong experience in computer vision and production ML systems. Working directly with founders to expand AI capabilities in image analysis and structured data modeling.

Posted 6/3/2026full-timeRemote • 🇺🇸 United StatesJuniorWebsite

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Develop and improve computer vision models
Build and maintain traditional ML models
Work with LLM APIs for structured outputs
Deploy, package, and serve ML models
Monitor model quality and performance metrics
Collaborate closely with engineering teams

Requirements

What you’ll need

Strong experience in computer vision
Production machine learning systems experience
Strong Python skills with the scientific stack
Hands-on experience with XGBoost, LightGBM, CatBoost
Experience with model packaging and monitoring
Strong experience with PyTorch
Familiarity with CUDA and GPU-based training
Experience with LLM APIs including OpenAI, Anthropic, and Gemini

Benefits

Comp & perks

Remote position
High-ownership role
Work with founders
Opportunity to collaborate with cross-functional teams

ATS Keywords

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Hard Skills & Tools

computer visionmachine learningPythonXGBoostLightGBMCatBoostPyTorchCUDAGPU-based trainingLLM APIs

Soft Skills

collaboration