Machine Learning Principal Research Scientist

Arlington, Virginia

Full Time Senior-level / Expert USD 89K - 210K *

Two Six Technologies

View company page

As a Two Six Technologies (TST) Machine Learning (ML) Lead Research Engineer, you will lead applied ML research teams across TST, with particular focus on the Cyber business unit.  As lead ML research engineer, your primary area of focus will be adversarial ML research within the computer vision and/or audio ML domains.  You will provide subject matter expertise and mentoring to ML researchers on multiple teams, creating products based on state-of-the-art industry and academic concepts.  You will create, analyze, and red-team ML systems, ensuring their functionality and robustness in a variety of situations.  You will provide feedback to your teams, provide feature requests, and help create user interfaces, tutorials, and documentation.

Duties:

  • Develop novel adversarial ML attacks to evaluate the robustness of innovative ML algorithms and defenses from leading publishers in academia and industry
  • Synthesize results and research from evaluation findings to advance the state-of-the-art and guide future research for ML adversarial methods
  • Partner with engineers to build and maintain a leading adversarial ML testbed currently used by several industry, government, and academic partners
  • Evaluate the viability of ML solutions for multiple programs, focusing on adversarial ML research within the computer vision and/or audio ML domains
  • Work collaboratively with peers, including software developers and research scientists, in an agile environment on a fully-remote team
  • Communicate your methods and results to a variety of stakeholders and customers\

Requirements:

  • 8+ years experience in ML or related fields
  • Graduate technical degree in CS, EE, math, or similar field, or equivalent experience
  • Experience developing in Python and in using PyTorch, TensorFlow, or JAX
  • Experience with common machine learning pipelines, model architectures, and metrics
  • Experience reading and analyzing academic publications in machine learning

Nice-to-haves:

  • Academic or industry conference publications in relevant disciplines
  • Experience with agile development, CI testing, code reviews, and working with other people’s code

Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. 

If you are interested in applying for employment with Two Six Technologies and require an accommodation, please contact Human Resources at Two Six Technologies by sending an email to hr@twosixtech.com.  Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

Additionally, please be advised that this business uses E-Verify in its hiring practices.

EOE, including disability/vets. 

 

* Salary range is an estimate based on our salary survey 💰

Tags: Agile Computer Vision Machine Learning Mathematics Pipelines Python PyTorch Research TensorFlow Testing

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  9  1  0
  • Share this job via
  • or

More jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.