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Internship Machine Learning Startup Jobs in Washington, DC

Socket.dev

Machine Learning DSP Engineer

Arlington, VA · On-site

$120 - $190/hr

... startup building revolutionary wireless processing software solutions using cutting edge machine ... We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software ...

DeepSig, Inc

Machine Learning DSP Engineer

Arlington, VA · On-site

$164K - $192K/yr

... startup building revolutionary wireless processing software solutions using cutting edge machine ... We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software ...

Crowe LLP

Machine Learning Intern

Washington, DC · On-site

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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All JobsMachine Learning Startup JobsInternship Machine Learning Startup JobsInternship Machine Learning Startup Jobs in Washington, DC

Internship Machine Learning Startup information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do internship machine learning startup jobs pay per year?

As of Sep 4, 2026, the average yearly pay for internship machine learning startup in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Startup vs Data Science Intern?

AspectInternship Machine Learning StartupData Science Intern
Required CredentialsBasic programming, statistics, coursework in MLSimilar; often includes coursework in data analysis and statistics
Work EnvironmentFast-paced startup, collaborative teamsVaries; startups or corporate settings, collaborative
Industry UsageCommon in tech startups focusing on AI/ML productsWidespread across tech, finance, healthcare
Search & Comparison IntentInterested in ML-specific roles in startupsLooking for data analysis or data science internships

Internship Machine Learning Startup roles focus on applying ML techniques in startup environments, often requiring programming and statistical skills. Data Science Internships may encompass broader data analysis tasks across various industries. Both roles share similar credentials and work environments, but ML internships are more specialized in machine learning applications within startups.

What are popular job titles related to Internship Machine Learning Startup jobs in Washington, DC?

For Internship Machine Learning Startup jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Startup jobs in Washington, DC look for?

The top searched job categories for Internship Machine Learning Startup jobs in Washington, DC are:

Internship Machine Learning Startup jobs near you
Infographic showing various Internship Machine Learning Startup job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.

Machine Learning DSP Engineer

Socket.dev

Arlington, VA • On-site

$120 - $190/hr

Other

Posted 5 days ago

Job 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.

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