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Machine Learning Engineer, Staff

United States - Remote

About Us

DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. With over 2,400 employees dedicated to the idea that “Your Mission is Our Passion,” DLH brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

Overview

DLH is seeking a Machine Learning (ML) engineer, working in this branch of artificial intelligence, to be responsible for creating programs and algorithms that enable computers to take actions without human intervention. Examples include document analyses with natural language processing (NLP) and automated application of analytics for data ingestion pipelines. A key feature of this work is enabling computers to learn automatically and improve from experience. There may be some crossover with other disciplines, including computational statistics, mathematical optimization, data mining, exploratory data analysis, and predictive analytics.

Responsibilities

  • Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture
  • Use exceptional mathematical skills to perform computations and work with the algorithms involved in this type of programming
  • Produce project outcomes and isolate the issues that need to be resolved in order to make programs more effective
  • Collaborate with data engineers to build data and model pipelines
  • Manage the infrastructure and data pipelines needed to bring code to production
  • Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created, build algorithms based on statistical modeling procedures and build and maintain scalable machine learning solutions in production using data modeling and evaluation strategy to find patterns and predict unseen instances, apply machine learning algorithms and libraries
  • Lead on software engineering and software design
  • Communicate and explain complex processes to people who are not programming experts
  • Liaise with stakeholders to analyze business problems, clarify requirements, and define the scope of the resolution needed
  • Analyze large, complex data sets to extract insights and decide on the appropriate technique
  • Research and implement best practices to improve the existing machine learning infrastructure, and apply specific AI techniques when and where appropriate to provide support to engineers and managers in implementing machine learning in the products, along with independent

Qualifications

  • Bachelor’s degree in a quantitative or scientific field (e.g., Chemistry, Physics, Engineering, Computer Science) and 2 years of relevant work experience. Advanced degrees (e.g., MBA, MS) are a plus.
  • Demonstrated experience in problem-solving across multiple disciplines, along with a proactive ability to rapidly suggest/identify solutions
  • Demonstrated experience applying machine learning to real-world datasets, including regression analyses, predictive modeling, and generative modeling.
  • Proficiency in software and database programs such as C++, Python, Java, Mongo, and HTML.
  • Additional experience with robotics, image recognition, and autonomous systems is considered a plus
  • Hands-on experience with networking, server setup, and cloud computing (e.g., AWS) is a plus.
  • Excellent technical communication skills, including preparing proposals, documentation, and explaining complex concepts to non-technical stakeholders.
  • US citizenship required

Basic Compensation: $135,000 - $145,000 yearly salary

The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law.

 

Benefits

DLH Corp offers our employees an excellent benefits package including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD&D, short and long-term disability, flexible spending accounts, parental leave, legal services, and more. We want our employees to save for their future; therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions.

#LI-REMOTE

EEO

DLH Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment.  DLH will provide reasonable accommodation to individuals with disabilities and disabled Veterans who need assistance to apply.

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