Remote Applied AI/ML Engineer - GenAI in Production

United States Digital Space LLC; United States; Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Fully remote

Annual stipend

Comprehensive Benefits Package

Company Match 401(k)

Flexible PTO

Job summary

United States Digital Space LLC is seeking an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. The role focuses on applying modern ML and GenAI techniques in production systems—from experimentation and prototyping through deployment, evaluation, and iteration.

This is a hands-on engineering role for someone who enjoys shipping, learning quickly, and balancing technical rigor with real-world constraints.

Qualifications

• Strong foundation in machine learning concepts including model selection, training, validation, and evaluation.
• Experience building and deploying ML models in real-world applications.
• Proficiency in Python and common ML libraries (PyTorch, TensorFlow, scikit-learn).

Responsibilities

• Design, develop, and deploy ML/AI-powered features into production systems.
• Apply supervised, unsupervised, and deep learning to structured and unstructured data.
• Build and evaluate models for classification, ranking, prediction, NLP, or anomaly detection.
• Develop and integrate GenAI solutions (LLM workflows, retrieval-augmented generation, agents).
• Translate business needs into ML problem statements and experiments.
• Create data pipelines and feature engineering workflows for training and inference.
• Evaluate model performance, bias, drift, and reliability; iterate on results.
• Collaborate with software engineers to integrate models into APIs and services.
• Contribute to architecture decisions around model serving, scalability, and cost.

Skills

Python

PyTorch

TensorFlow

scikit-learn

LLMs

prompt engineering

data processing

communication

Tools

Pandas

SQL

Spark

Git

Job description

United States Digital Space LLC is seeking an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. The role focuses on applying modern ML and GenAI techniques in production systems—from experimentation and prototyping through deployment, evaluation, and iteration.

This is a hands-on engineering role for someone who enjoys shipping, learning quickly, and balancing technical rigor with real-world constraints.