Security-Cleared AI/ML Engineer I

TORCH.AI; Leawood (KS); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Competitive base salary

Quarterly performance bonuses

Equity participation within first 12–m

Unlimited PTO + 11 paid holidays

Professional development in a high‑成长,

Weekly in-office catering at HQ

Job summary

Torch.AI, headquartered in Leawood, KS, is seeking engineers to build and deploy AI systems for national-scale missions. You will implement ML components, support data workflows, and contribute to retrieval and NLP pipelines with mentorship, delivering production-ready services.

Ideal candidates have 1–3 years of software/ML experience, strong Python skills, and familiarity with libraries like scikit-learn, spaCy, PyTorch, and Transformers.

Qualifications

• B.S. in CS, Engineering, Math or related technical field is required.
• 1–3 years of software engineering or applied ML experience (internships included).
• Proficiency in Python with strong fundamentals; familiarity with ML/NLP libraries.

Responsibilities

• Implement and evaluate ML components under senior guidance, focusing on operational performance.
• Support data preparation, labeling, preprocessing, and feature engineering across datasets.
• Contribute to retrieval, embedding, or LLM-enabled pipelines with mentorship.
• Assist in building prototype and production-ready AI services using PyTorch, scikit-learn, or NLP toolkits.
• Execute experiments for NLP/NLU workflows including classification, entity extraction, and semantic search.

Skills

Python

ML/NLP libraries

APIs & containerization

Problem solving

Education

B.S. in CS/Engineering/Math

Tools

scikit-learn

spaCy

PyTorch

TensorFlow

Transformers

Job description

Torch.AI, headquartered in Leawood, KS, is seeking engineers to build and deploy AI systems for national-scale missions. You will implement ML components, support data workflows, and contribute to retrieval and NLP pipelines with mentorship, delivering production-ready services.

Ideal candidates have 1–3 years of software/ML experience, strong Python skills, and familiarity with libraries like scikit-learn, spaCy, PyTorch, and Transformers.