Machine Learning Engineer (up to 25% profit sharing benefit)

Key Skills

Algorithms, Clustering, Computer Vision (CV), Data oriented design- DoD, Data science techniques, Deep Learning, DevOps, Linear regression, Logistic Regression, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Scrum Agile Methodology

Job Description

You will be a member of a team of passionate and collaborative developers and researchers excited about building capabilities that solve real problems the US government needs our help with. You’ll be part of a team that mentors each other, our junior data scientists, and developers.

More About the Role:

This role is focused on developing tools for deep learning and machine learning as applied to computer vision. Where similar data science positions from R&D lab groups may build and maintain models within the lab environment, this unique position enables you to receive feedback as your models are used in support of critical missions.

You’ll Bring These Qualifications:

• Active Top Secret or Top Secret SCI clearance required, and polygraph preferred
• Willingness to obtain a Security+ certification
• A minimum of a Bachelor’s Degree from an accredited university, preferably in Computer Science, Statistics, Mathematics or related Engineering discipline
• At least 10 years of professional and related experience
• Knowledge and practical experience using a variety of machine learning techniques, for example: linear regression, logistic regression, neural networks, support vector machines, anomaly detection, natural language processing, clustering and classification algorithms
• Experience with Python and modern deep learning frameworks, such as Keras, TensorFlow, pyTorch, caffe
• Strong written and verbal communication skills
• Self-starter that can work with minimum supervision and has good team interaction skills
• Ability to independently complete projects
• The ability to master the art of putting mathematical models into production
• Pride in building well-architected products and in preparing data correctly
• Understand how to avoid logical flaws in the models
• Can objectively investigate systems or models that perform too well

These Qualifications Would Be Nice to Have:

• Security+ certification
• Experience working within Agile development teams leveraging DevOps methodology
• Experience working within cross-functional teams following a SCRUM/Sprint-based project execution
• Experience delivering enterprise software systems for DoD customers
• Basic understanding and practical experience with GEOINT processing techniques
• Master's or PhD in Computer Science, Statistics, Mathematics or related Engineering discipline

Company32 Benefits:

• Company32 employees are part of a Profit-Sharing Plan (PSP), which contributes a company funded 25% of your salary to a tax-advantaged retirement account 
• Company32 employees also have an Individual Benefits Account (IBA) which covers individualized insurance premiums, medical reimbursements, dependent care, education, and flexible paid time off (PTO) 
• Together, these company-paid benefits contribute 50% of compensation on TOP of your base salary, maximizing take home pay while ensuring well-funded retirement savings 
• We believe in a healthy home/work balance and our locations offer a wide variety of activities to balance with your work life. 
• Company32’s overall compensation package maximizes take home pay while ensuring well-funded retirement savings

Company Overview: At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. 

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, geographic location, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. Employment benefits include health and wellness programs, income protection, paid leave and, life insurance, retirement and savings.

The proposed salary range for this position is:

$98,500.00 - $206,800.00