Senior Machine Learning Engineer

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Senior Machine Learning Engineer position to design and optimize deep learning solutions for large-scale predictive applications. Responsibilities include feature engineering, model development, production optimization, and collaboration with cross-functional data science teams. Requires strong experience with deep learning frameworks, Python, and production ML systems; offers $145K-$250K salary.

Key Highlights

Fully remote position with US preference

Competitive salary $145K-$250K USD

100% employer-paid medical insurance premiums

Key Responsibilities

Design, develop, and optimize deep learning models using large-scale customer and behavioral datasets

Engineer and refine features that enhance model accuracy, scalability, and business impact

Research, evaluate, and implement state-of-the-art machine learning techniques

Collaborate closely with cross-functional engineering and data science teams to translate business objectives

Improve model training pipelines, infrastructure, and workflows for efficiency and scalability

Document technical approaches, experimental results, and architectural decisions

Participate in peer code reviews and technical discussions to promote software quality

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Technical Skills Required

Machine Learning Python Deep Learning

Benefits & Perks

Competitive salary ranging from $145,000 to $250,000 USD

Fully remote position

100% employer-paid medical insurance premiums for employees

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Nice to Have

Experience with MLOps, model deployment, monitoring, CI/CD pipelines, or workflow orchestration

Familiarity with cloud platforms such as Google Cloud Platform (GCP)

Distributed training experience

Time-series modeling experience

Causal inference or attribution modeling experience

Previous consulting or client-facing technical experience

Job Description

As a Senior Machine Learning Engineer, you will help design and optimize advanced deep learning solutions that power large-scale predictive applications. Working alongside experienced data scientists and engineers, you will contribute across the entire machine learning lifecycle—from feature engineering and model development to production optimization and continuous improvement. This role offers the opportunity to apply state-of-the-art research to real-world challenges while building scalable, high-impact AI systems. You'll collaborate in a highly technical, innovation-driven environment where experimentation, engineering excellence, and continuous learning are encouraged. If you're passionate about advancing machine learning and delivering production-ready solutions, this role offers significant technical ownership and career growth.

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