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Salaried Deep Learning Jobs in Virginia (NOW HIRING)

DeepSig Inc

Machine Learning DSP Engineer

Arlington, VA · On-site

$164K - $192K/yr

Deep Learning, RF Sensing, Statistical Signal Processing, Wireless Systems fundamentals, Time ... We offer competitive salaries and benefits, an employee stock option grant program, an environment ...

DeepSig, Inc

Machine Learning DSP Engineer

Arlington, VA · On-site

$164K - $192K/yr

Deep Learning, RF Sensing, Statistical Signal Processing, Wireless Systems fundamentals, Time ... We offer competitive salaries and benefits, an employee stock option grant program, an environment ...

Venturegloballng

Engineer, Machine Learning

Arlington, VA · On-site

$157K - $185K/yr

This includes building pipelines for training and deploying deep learning and other machine ... Salary Range $157,000-$185,000 Venture Global LNG is an Equal Opportunity Employer. We do not ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Excellent Salaries * Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Excellent Salaries * Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Excellent Salaries * Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching ...

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All JobsSalaried Deep Learning JobsSalaried Deep Learning Jobs in Virginia

Salaried Deep Learning information

What is the difference between Salaried Deep Learning vs Salaried Machine Learning Engineer?

AspectSalaried Deep LearningSalaried Machine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; experience with neural networksMaster's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural network modelsTech companies, data-driven firms, AI product development teams
Employer & Industry UsagePrimarily in AI research, academia, and companies developing deep learning modelsAcross industries like finance, healthcare, and e-commerce implementing ML solutions

While both roles involve machine learning, Salaried Deep Learning specialists focus on neural network architectures and AI research, whereas Salaried Machine Learning Engineers work on broader ML applications and deployment across various industries.

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The most popular types of Deep Learning jobs in Virginia are:

What are popular job titles related to Salaried Deep Learning jobs in Virginia?

For Salaried Deep Learning jobs in Virginia, the most frequently searched job titles are:

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The top searched job categories for Salaried Deep Learning jobs in Virginia are:

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Cities in Virginia with the most Salaried Deep Learning job openings:

Salaried Deep Learning jobs near you
Infographic showing various Salaried Deep Learning job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning DSP Engineer

DeepSig Inc Careers Page

Arlington, VA • On-site

$164K - $192K/yr

Full-time

Posted 8 days ago

Key responsibilities

  • Develop and validate machine learning and communications system algorithms and software for RF sensing and wireless applications.

  • Build machine learning models for RF sensing applications and optimize training and inference pipelines using software and DSP techniques.

  • Work with real-world RF datasets and collaborate with product teams to improve RF sensing capabilities based on customer feedback.

Job description

Description:

Type: Full-Time (W2) On-Site/Hybrid, Arlington, VA

DeepSig Inc. is a venture backed and product centric technology startup building revolutionary wireless processing software solutions using cutting edge machine learning techniques to transform baseband processing, wireless sensing, and other key wireless applications.

We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software digital signal processing and software-defined modems with state of the art machine learning techniques to create the next generation of AI-Native wireless communications systems in simulation and in real deployed products at scale. This person will be responsible for developing and validating machine learning and communications system algorithms and software across modem and/or wireless sensing system solutions.

What You'll be Doing

  • Build cutting edge Machine Learning models for RF sensing applications
  • Keep up with the latest developments in the field of Machine Learning and assess their viability for RF sensing applications
  • Utilize both Software and DSP techniques to optimize training and inference pipelines
  • Work closely with product managers and business development teams to improve our RF sensing capabilities based on customer feedback
  • Working with real-world RF datasets and ML driven RF systems which are unique and unrivaled anywhere else in the world

Requirements:

  • MS or PhD in Electrical/Computer Engineering, Computer Science, or related field
  • Proficient in at least one programming language (Python preferred)
  • Familiarity with at least one of the Deep Learning frameworks (e.g. – PyTorch, Tensorflow etc.)
  • Experience in one or more of the following areas: Deep Learning, RF Sensing, Statistical Signal Processing, Wireless Systems fundamentals, Time/Frequency analysis of signals
  • Ability to work on open ended problems, building candidate solutions and coming up with appropriate metrics for comparison
  • Strong communication and teaming skills to work collaboratively and productively in a small company environment

Bonus:

  • Experience with advanced signal processing concepts such as multirate signal processing, polyphase filterbanks etc.
  • Prior experience in building Deep Learning models for edge deployment
  • Familiarity with TensorRT
  • Proficiency in C++ and/or CUDA

WORKING AT DEEPSIG 

DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance.


DeepSig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings. 

Requirements: