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Flexible Machine Learning Jobs in Washington (NOW HIRING)

Machine Learning DSP Engineer

Arlington, VA

$164K - $192K/yr

We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software ... flexible schedule, and a great work / life balance. DeepSig is an equal-opportunity employer and ...

Machine Learning Engineer

Mclean, VA ยท On-site

$83K - $111K/yr

Machine Learning Engineer Location: McLean, VA (hybrid); occasional travel to Durham, NC and ... Flexible work schedule * Tuition support * PTO and paid holidays Visit us: www.covar.com

Machine Learning DSP Engineer

Arlington, VA ยท On-site

$164K - $192K/yr

We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software ... flexible schedule, and a great work / life balance. DeepSig is an equal-opportunity employer and ...

Senior Machine Learning Engineer

Mclean, VA ยท On-site

$105K - $145K/yr

Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research ... Hybrid and flexible work schedules * Professional development programs * Training and certification ...

Senior Machine Learning Engineer

Mclean, VA ยท On-site

$105K - $145K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing ... Hybrid and flexible work schedules * Professional development programs * Training and certification ...

Showing results 21-40

Flexible Machine Learning information

What is the difference between Flexible Machine Learning vs Data Scientist?

AspectFlexible Machine LearningData Scientist
CredentialsTypically requires knowledge of machine learning, programming, and data analysis; certifications like AWS, Google Cloud are commonRequires degrees in statistics, computer science, or related fields; certifications like Certified Data Scientist are beneficial
Work EnvironmentOften in tech companies, startups, or consulting firms; involves building adaptable ML modelsIn various industries including finance, healthcare, and tech; focuses on data analysis and insights
Industry UsageUsed in AI development, automation, and predictive modelingApplied in business analytics, research, and strategic decision-making

Flexible Machine Learning professionals focus on developing adaptable ML models across diverse applications, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary focus and industry usage differ slightly.

What are the most commonly searched types of Machine Learning jobs in Washington?

The most popular types of Machine Learning jobs in Washington are:

What cities in Washington are hiring for Flexible Machine Learning jobs?

Cities in Washington with the most Flexible Machine Learning job openings:

Infographic showing various Flexible Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Machine Learning DSP Engineer

Arlington, VA โ€ข On-site

$164K - $192K/yr

Full-time

Posted 18 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: