Salary
💰 $126,100 - $227,950 per year
Tech Stack
Cyber SecurityTypeScript
About the role
- Formulate, suggest, and manage complex data-driven R&D projects crossing human factors, AI/ML, data science, software, and cyber
- Work with software engineers and data scientists to develop and utilize data pipelines to develop algorithms and/or ML models
- Work with hardware engineers in the design, prototyping, and testing of novel sensor hardware solutions
- Produce and communicate reports that summarize technical results to a non-technical audience
- Stay up to date with state-of-the-art developments and strategize application to current/future R&D projects
- Work collaboratively across the company to gather and utilize novel approaches to solve technical challenges
- Define and mature organization processes and build/supervise a core group of software engineers
- Support multiple programs and projects and act as technical lead or SME
Requirements
- Ph.D. in the physical sciences, engineering, data science, or computer science
- 8+ years of direct experience with DoD and IC research programs and testing and evaluation
- 3+ years experience in human-machine teaming or human performance research
- Experience performing, testing, and managing research solutions in AI/ML, resilient systems, quantum communications, or cybersecurity
- Ability to act as SME for program engagements or proposal support
- Strong technical writing and communication skills
- Excellent analytical, problem-solving, and critical thinking skills
- Ability to work independently on complex tasks and lead technical efforts
- Must be a U.S. Citizen and be able to obtain a TS/SCI clearance
- Ability and willingness to work a hybrid schedule from either San Diego, California or Arlington, Virginia office
- Preferred: Experience in the cyber domain
- Preferred: Demonstrable history of working on Government R&D projects (DARPA, IARPA a plus)
- Preferred: Basic knowledge and experience with AI/ML engineering including code implementation, optimization, and AI/ML tooling
- Preferred: Familiarity with analysis of time-series data from sensors and with modeling and simulation of sensor data
- Preferred: Active TS/SCI Clearance
- Competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI/MLdata sciencedata pipelinesalgorithmsML modelshuman-machine teamingquantum communicationscybersecuritytechnical writingtime-series data analysis
Soft skills
analytical skillsproblem-solvingcritical thinkingcommunication skillsindependent workleadershipcollaborationreportingstrategic thinkingsupervision
Certifications
Ph.D. in physical sciencesPh.D. in engineeringPh.D. in data sciencePh.D. in computer scienceTS/SCI clearance