Machine Learning Digital Signal Processing Engineer

Job overview

The Machine Learning Digital Signal Processing Engineer role is onsite or hybrid in Arlington, VA. Compensation is not specified; the posting describes salaries and benefits as competitive. DeepSig builds wireless processing software using machine learning to advance wireless communications and sensing. The role develops and validates machine-learning and communications algorithms and software for modem and wireless-sensing solutions. It contributes to AI-native wireless systems by building models, optimizing training and inference pipelines, and working with real-world radio-frequency data and cross-functional teams.

What you'll do

• Build machine-learning models for radio-frequency sensing
• assess developments in machine learning for their suitability to radio-frequency sensing
• use software and digital signal processing techniques to optimize training and inference pipelines
• collaborate with product management and business development using customer feedback
• and work with real-world radio-frequency datasets and machine-learning-driven systems.

What we're looking for

Skills & competencies

machine learning

digital signal processing

arlington va

deepsig

radio-frequency sensing

wireless communications

python

pytorch

tensorflow

signal processing

full-time

onsite/hybrid

Work arrangement

• Weekend coverage required

Benefits & perks

• Competitive salary and benefits, employee stock option grant program, flexible schedule, work-life balance, and opportunities for publications, conferences, and open-source contributions.

Why this role

The posting describes a collaborative small-team culture, flexible schedule, work-life balance, employee stock options, and opportunities to participate in scientific publications, conferences, and open-source software.

About the employer

DeepSig Inc Careers Page is hiring for this role. Industry: Custom Computer Programming Services. Sector: 54.