Artificial Intelligence Machine Learning

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.

Wyetech

Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Affirmative Action Statement

Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.

Accommodations

Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or staffing@wyetech.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates.

Capabilities

Select appropriate data sets

Perform statistical analysis

Run machine learning algorithms

Use results to improve models

Train and retrain systems when needed

Experience in working with various ML libraries and packages

Run standard test and evaluation protocols

Provide system integration oversight

Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements

Research and implement a broad range of AI and ML algorithms and tools

Design or Select appropriate data and knowledge representation methods

Recognize software architecture, data modelling, and data structures

Transform and convert data science prototypes into scalable solutions

Verify data and model output quality

Identify differences in data distribution that affect model performance

Required Qualifications

• TS/SCI with agency appropriate poly
• Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
• A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
• 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
• Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
• The Benefits Package
• Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.

Additional benefits include

Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

Full-time employees have the option to participate in a variety of voluntary benefit plans including:

A Choice of Medical Plan Options, some with Health Savings Account (HSA)

Vision and Dental

Life and AD&D Benefits

Short and Long-Term Disability

Hospital Indemnity, Accident, and Critical Illness Insurances

Optional Identity Theft and Legal Protection Services

Company Environment & Perks

Employee Referral Bonus Eligibility up to $10,000

Mobility Among Wyetech-supported Contracts

Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS

Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.

Employees receive two complementary branded clothing orders annually.