Enterprise - Research Scientist - RF, ML
About The Position
Erias Ventures is seeking a Research Scientist to join the research and development team. This role will focus on the design, development, prototyping, and evaluation of Radio Frequency Machine Learning (RFML) algorithms to advance the modernization of advanced signal processing capabilities. The development team will provide application development and support to core initiatives, utilizing a strong familiarity with modern machine learning frameworks to build feature-rich architectures in a collaborative environment. A current Top-Secret/SCI with polygraph security clearance is required, and candidates cannot be sponsored or nominated for a government security clearance under this position.
Requirements
- Six (6) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
- Bachelor's degree in Computer Science or related discipline from an accredited college or university is required.
- Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
- Familiarity with modern machine learning frameworks required
- A current Top-Secret/SCI with polygraph security clearance is required.
Responsibilities
- Design, development, prototyping, and evaluation of RF Machine Learning algorithms
- Leverage a strong familiarity with modern machine learning frameworks to build feature-rich architectures in a collaborative environment
- Provide application development and support to core initiatives
Benefits
- Above Market Hourly Pay
- 11% Roth or Traditional 401k with Immediate Vesting and Deposit
- Spot Bonuses for Assisting with Business Development and Company Growth
- Professional Development Bonuses for Certificates and Degrees
- Company subsidized Medical Coverage
- 100% Company Paid Vision and Dental Coverage
- 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
- Monthly Wellness Reimbursement
- Paid Time Off with Flexible Work Schedules and Birthday Off
- Amazon Prime Membership and Monthly Internet Reimbursement
- Technology and Productivity Allowance for Equipment and Supplies
- Morale Building and Company Events to Celebrate our Successes and Build our Community
- Onboarding and Annual Swag
- Company Paid Professional Development and Training
- Referral bonus of up to $10,000 for each successful hire
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What This Job Offers
Job Type
Full-time
Career Level
Senior
