AI Machine Learning Engineer 1-KR-7455

REQUIRED:

TO BE CONSIDERED FOR THIS POSITION YOU MUST HAVE AN ACTIVE TS/SCI W/ FULL SCOPE POLYGRAPH SECURITY CLEARANCE (U.S. CITIZENSHIP REQUIRED)

Project Description:
The team supports a suite of web-based applications that automate data management for IC data custodians.
The products facilitate the capture of information and approvals that allow for the movement of data through the customer mission
space in a compliant manner.
These products are critical to standardize and simplify data movement as well as data reuse and integration with downstream tools.
Job Description:
Design create test and productize Al/ML algorithms to solve business challenges.
The Al/ML models created should be capable of learning and making predictions as defined by the
business logic developed to meet customer requirements.
Proficient in all aspects of model architecture data pipeline interaction metrics application interpretation and presentation.
Familiarity with foundational concepts of application development infrastructure management data engineering and data
governance.
Experience training retraining deploying scheduling monitoring and improving models based on iterative user and system
feedback is required to support designing and creating scalable solutions for optimal performance.
Responsible for leading geographically diverse teams and will often serve as a primary POC for Al-related matters so must have
exceptional analytical problem-solving and communication skills.
Highly Desired Skills:
Expert knowledge of multiple programming languages (Python Java C R)
Jupyter notebooks
PyTorch or TensorFlow
Generative AI use (ChatGPT Claude Gemini etc.)
Agent Orchestration RAG (Retrieval-Augmented Generation)
AWS Bedrock
Qualifications
Basic Requirements:
Active TS/SCI with current Polygraph required
Two (2) years of experience in applied machine learning in programs and contracts of similar scope type and complexity is required
Bachelors Degree in advanced math (e.g. Calculus Linear Algebra or Bayesian statistics) Computer Science or related STEM
discipline from an accredited college or university is required.
Three (3) years of additional machine learning experience on projects with similar machine learning processes may be
substituted for a bachelors degree.

Compensation: We are committed to providing fair and competitive compensation. The salary range for this position is $78000 to $250000 per year. This range reflects the compensation offered across the locations where we hire. The exact salary will be determined based on the candidates work location specific role skill set and level of expertise.

Benefits: We offer a comprehensive benefits package including:

• Health Coverage: Medical dental and vision insurance

• Additional Insurance: Basic Life/AD&D Voluntary Life/AD&D Short and Long-Term Disability Accident Critical Illness Hospitalization Indemnity and Pet Insurance

• Retirement Plan: 401(k) plan with company match

• Paid Time Off: Generous PTO paid holidays parental leave and more

• Wellness: Access to wellness programs and mental health support

• Professional Development: Opportunities for growth including tuition reimbursement

Additional Perks:

• Flexible work arrangements including remote work options

• Flexible Spending Accounts (FSAs)

• Employee referral programs

• Bonus opportunities

• Technology allowance

• A diverse inclusive and supportive workplace culture