Machine Learning Engineer - TS/SCI with Polygraph

Description

The company is a global technology and professional services firm with about 26,000 staff in more than 50 countries. It supplies technology and mission services to U.S. government, defense and intelligence agencies, with work in AI, cloud, cyber and software development.

This Machine Learning Engineer role sits in the data science and data engineering job family. You will build AI and machine learning tools for intelligence analysis work.

Responsibilities

• Develop and adapt large language models (LLM) and natural language processing (NLP) methods with AI and machine learning frameworks and programming languages.
• Build new capabilities that improve analytic workflows and help answer key intelligence questions.

Requirements

• You have experience with AI, language models, Keras, PyTorch and TensorFlow.
• You hold a bachelor's or master's degree in an IT discipline, or an equivalent mix of education, technical certifications, training or work experience.
• You have 8+ years of related experience.
• You have professional or academic experience with modern deep learning frameworks such as PyTorch, TensorFlow or Keras (key experience).
• You have hands-on experience using GPUs for accelerated computing (key experience).
• You have professional or academic experience testing, evaluating or validating the performance of AI systems, with a focus on LLM-based systems (key experience).
• You have professional or academic experience designing and running experiments that test LLM performance against a benchmark (key experience).
• You have experience tuning neural networks, including LLMs, on custom datasets and applying them to specific use cases.
• You have experience building AI and ML models and ensembles, choosing suitable Python libraries, preparing data, running analyses and evaluating model performance.
• You are proficient in Python or R.
• You have solid SQL skills, including common table expressions, set operations, aggregate functions and nested subqueries.
• You have experience with version control tools such as GitHub and Jenkins.
• You hold or can maintain a TS/SCI clearance with polygraph.
• You are a U.S. citizen.
• Desired: experience working with Hugging Face Transformers and its model hub.
• Desired: experience developing benchmarks that measure LLM performance (key experience).
• Desired: experience with cloud-based development and architecture.
• Desired: experience with front-end or application frameworks such as Flask.
• Desired: ability to build text-focused machine learning solutions, such as classification and topic modeling, with SciKit-Learn or deep learning.
• Desired: experience developing semantic search applications.
• Desired: proficiency creating dashboards and visualizations in Tableau.
• Desired: ability to explain modeling decisions, methods and results clearly to both technical and non-technical audiences.
• Desired: experience building or using verification and validation test benches.
• Desired: familiarity with Explainable AI (XAI) techniques.
• Desired: experience working with ONNX (Open Neural Network Exchange).

Conditions

The role is onsite at the customer site in McLean, VA.

The scheduled workload is 40 hours per week.

Travel is required for less than 10% of the time.

The likely salary range is $168,300 to $227,700. This is not a guarantee. Pay is set by experience, geographic location and possibly contractual requirements, and may fall outside this range.

The hiring process includes an identity verification step using biometrics and AI. Virtual interviews require you to be on camera, and your photo may be taken to verify identity. By continuing, you consent to the collection and use of your biometric data for identity and security checks.

The company is an equal opportunity employer that welcomes individuals with disabilities and protected veterans.

Benefits

• 401(k) with pre- and post-tax contributions up to IRS limits and a company match.
• Medical plans, some with Health Savings Accounts, plus dental and vision plans.
• Comprehensive health and wellness packages.
• Full flex work weeks where possible.
• Paid vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
• Short- and long-term disability, life, accidental death and dismemberment, personal accident, critical illness and business travel accident insurance, provided or available.
• Paid education and certifications.
• An internal mobility team that helps you manage your career.
• Work with cutting-edge technology.