Machine Learning Engineer

KMRG, LLC; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

Join a leading technology company as a Machine Learning Engineer, dedicated to enhancing federal operations through innovative AI solutions. This fully remote position offers competitive pay and a chance to work on impactful technology programs. You'll leverage your skills in ML, collaborate with diverse teams, and directly support modernization efforts at the U.S. Patent and Trademark Office.

Benefits

Comprehensive benefits

Flexible hours

Job stability and security

Qualifications

• 3+ years experience in data science or machine learning required.
• Familiarity with federal projects preferred.
• Hands-on experience with AI/ML frameworks required.

Responsibilities

• Design and implement AI/ML and NLP solutions.
• Evaluate emerging technologies and develop prototypes.
• Support MLOps pipelines in cloud environments.

Skills

Python

Data Analysis

Cloud Services

Machine Learning

NLP

Agile Communication

Education

Bachelor’s degree in Computer Science, Data Science, Engineering

Tools

Scikit-learn

TensorFlow

PyTorch

MLflow

Kubeflow

Job description

ROLE
We are seeking an experienced Machine Learning Engineer to join a dynamic team supporting the U.S. Patent and Trademark Office’s (USPTO) Emerging and Innovation (E&I) initiatives. This role offers the opportunity to work on high-impact federal technology programs, helping modernize patent and trademark operations through artificial intelligence, machine learning, and cloud innovation.

This is a full-time remote opportunity in which we'll provide competitive pay, comprehensive benefits, and job stability and security.

Apply today!

RESPONSIBILITIES

• Design, develop, and implement AI/ML and NLP solutions in support of USPTO innovation goals
• Evaluate emerging technologies and participate in prototyping and proof-of-concept (POC) development
• Apply data science techniques to derive actionable insights from large, complex datasets
• Collaborate with UX, cloud engineering, and architecture teams to create integrated technical solutions
• Support MLOps pipelines and model lifecycle in cloud environments (AWS, GCP, Azure)
• Contribute to user-centered design initiatives through analytics and experimentation
• Ensure compliance with federal data security, privacy, and FedRAMP requirements
• Participate in modernization efforts, including evaluation of cloud migration strategies
• Generate technical documentation to support model development, lifecycle tracking, and compliance requirements
• Produce reports and summaries to support risk assessments, innovation planning, and decision-making

KNOWLEDGE & SKILLS

• Proficiency with Python, R, or similar tools for data analysis and model building required
• Familiarity with cloud services (e.g., AWS, Azure, or GCP) required
• Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow) preferred
• Exposure to UX/CX research and human-centered design methods preferred
• Understanding of federal cybersecurity frameworks and requirements (FedRAMP, NIST 800-53, and FISMA) preferred
• Ability to work in a collaborative, Agile environment and communicate technical findings clearly required

TECHNICAL STACK

• Languages: Python, R, SQL
• Frameworks/Libraries: Scikit-learn, TensorFlow, PyTorch, spaCy, Hugging Face
• Cloud Platforms: AWS, Azure, GCP
• MLOps: MLflow, Kubeflow, Docker, Git (version control), CI/CD pipelines
• Deployment: Secure model deployment, REST API integration, containerized services (Docker/Kubernetes)
• Security & Compliance: FedRAMP, FISMA, NIST 800-53
• Tools: Jupyter, Pandas, NumPy, REST APIs
• Visualization: Seaborn, Plotly, Dash

BACKGROUND

• 3+ years of hands-on experience in data science, machine learning, and/or AI solution development required
• Experience supporting federal or public-sector projects required
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) required

EDUCATION

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field required

LOCATION

• Remote

CLEARANCE

• U.S. citizenship is required as it supports the U.S. federal government

CLIENT

• U.S. Department of Commerce (DOC)

TRAVEL

• Travel is not required

WORK HOURS

• 100% remote work with flexible hours
• Core hours between 6 am-6 pm

EMPLOYMENT CLASSIFICATION

• Employment Classification Eligibility — Exempt

RELOCATION

• Not eligible for relocation benefits

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KMRG, LLC is an Equal Opportunity/Affirmative Action (EEO/AA) employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, ancestry, national origin, age, marital or civil partnership status, mental disability, physical disability, medical condition, pregnancy, maternity status, political affiliation, military or veteran status, genetic information, traits historically associated with race, or any other basis prohibited by federal, state, and/or local law.

Other Considerations. Applicants will be subject to a background investigation. Individual’s primary workstation is located in an office area. The noise level in this environment is low to moderate. Regularly required to sit for extended periods up to 100% of the time; frequently required to move about to access file cabinets and use office equipment such as PC, copier, fax, telephone, cell phone, etc. Occasionally required to reach overhead, bend, and lift objects of up to 10 lbs. Specific vision abilities required by this job include the use of computer monitor screens up to 100% of the time.