Machine Learning Engineer Jobs

About The Position

Requirements

• Bachelor or Master’s Degree in an IT discipline or the equivalent combination of education, technical certifications or training, or work experience
• 8+ years Technical skills
• Professional or academic experience working with modern deep learning frameworks such as PyTorch, TensorFlow, or Keras. (Key Experience)
• Hands‑on experience using GPUs for accelerated computing. (Key Experience)
• Experience tuning neural networks (including LLMs) on custom datasets and applying them to specific use cases.
• Experience building AI/ML models and ensembles, selecting appropriate Python libraries, preparing data, performing analyses, and evaluating model performance.
• Proficiency in Python or R
• Solid SQL skills, including working with to include using common table expressions, set operations, aggregated functions and nested subqueries.
• Experience using version control tools such as GitHub and Jenkins.
• TS/SCI with Polygraph Security Clearance Level
• US Citizenship Required

Nice To Haves

• Experience working with Hugging Face Transformers and its model hub.
• Experience with cloud‑based development and architecture.
• Experience with front‑end or application frameworks like Flask.
• Ability to build text‑focused machine learning solutions (classification, topic modeling) using SciKit‑Learn or deep‑learning approaches.
• Experience developing applications for semantic search.
• Proficiency creating dashboards and visualizations in Tableau.
• Ability to communicate modeling decisions, methodologies, and results clearly to technical and non‑technical audiences.
• Experience building or using verification and validation test benches.
• Familiarity with Explainable AI (XAI) techniques.
• Experience working with ONNX (Open Neural Network Exchange).

Responsibilities

• Develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.

Benefits

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays
• Variety of medical plan options, some with Health Savings Accounts
• Dental plan options
• A vision plan
• A 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.
• Full flex work weeks where possible
• A variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
• Short and long-term disability benefits
• Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.