Machine Learning Engineer — United States — LinkedIn — 4488516312

For our client, we are seeking a Machine Learning Engineer to join the team of a leader in the Enterprise Technology space.

This role will focus on building and deploying machine learning solutions that improve performance, efficiency, and scalability across complex enterprise use cases. You will partner closely with software engineers and cross-functional stakeholders to move models from experimentation into production. The position also emphasizes model evaluation, monitoring, and ongoing innovation with modern AI techniques to support business impact.

Location: Remote

Compensation: $180,000 – $225,000 annually

Responsibilities

• Use cutting-edge technologies such as LLMs and multimodal models to solve complex problems

• Perform data preprocessing and feature engineering to improve model performance

• Build frameworks for iterating on and evaluating model versions, including ranking, accuracy, and latency

• Collaborate with software engineers to deploy ML models into production

• Implement monitoring solutions for real-time model performance tracking

• Work closely with cross-functional teams to deliver impactful solutions

• Stay current on ML advancements and contribute to research and innovation

Qualifications

• 3+ years of experience developing and deploying ML models in production environments

• Experience with large-scale data processing and distributed systems

• Proficiency in Python and ML libraries such as PyTorch and TensorFlow

• Experience optimizing models for size, cost, and latency is a plus

• Skilled in fine-tuning pipelines in production environments

Benefits

• Early stage equity

• Comprehensive health insurance

• Generous PTO

• Remote and in-person cultures promoting collaboration

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.