Applied AI/ML Engineer

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

the company believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.

We’re looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and GenAI techniques in production systems — from experimentation and prototyping through deployment, evaluation, and iteration. You’ll work closely with engineers, designers, and product stakeholders to turn ambiguous problems into scalable, reliable AI-driven capabilities.

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

What you’ll be doing

• Design, develop, and deploy machine learning and AI-powered features into production systems
• Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data
• Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly detection
• Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
• Translate business and user needs into ML problem statements, metrics, and experiments
• Implement data pipelines and feature engineering workflows to support model training and inference
• Evaluate model performance, bias, drift, and reliability; iterate based on results
• Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
• Contribute to architecture decisions around model serving, scalability, and cost optimization
• Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing

What you’ll bring

• 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 (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience working with large language models, embeddings, and prompt-driven systems
• Familiarity with data processing tools and workflows (e.g., Pandas, SQL, Spark, or similar)
• Understanding of software engineering best practices (version control, testing, code reviews)
• Ability to reason about tradeoffs between accuracy, latency, cost, and maintainability
• Strong communication skills and comfort working in cross-functional teams
• Performs other related duties as assigned

Bonus if you have

• Experience working in innovation, R&D, labs, or exploratory engineering teams
• Experience deploying models to cloud platforms and managing inference at scale
• Familiarity with MLOps practices such as model monitoring, CI/CD for ML, and experiment tracking
• Experience contributing to architectural discussions or technical strategy

Location

Hybrid/Remote. Candidates must be located in the DMV area (DC, Maryland, Virginia) and able to participate with in‑office collaboration.

Requirements

• Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.

Benefits

• Fully remote
• Annual stipend
• Comprehensive Benefits Package
• Company Match 401(k) plan
• Flexible PTO, Paid Holidays

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

the company is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an the company HR representative to request such an accommodation by emailing [e-mail]

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Compensation

At the company, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

United States Wage Range: $150,000 – $200,000