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RF Machine Learning Internship, Dedrone - Dedrone

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Job Title
RF Machine Learning Internship, Dedrone
Job Location
Sterling, Virginia, United States
Job Description

Company Overview: Dedrone is the world’s most trusted smart airspace security company. Hundreds of commercial, government and military customers around the world rely on Dedrone’s comprehensive, command and control (C2) solution to protect against the persistent and escalating threat from drones while enabling “good” drones to fly. By leveraging AI/ML, Dedrone is the only solution that provides continuous, autonomous interrogation and verification of drones that enables both multi-sensor and multi-mitigation options onto a single fused "pane-of-glass". Whether on-premise / air-gapped or in the cloud, Dedrone customers can easily detect, track, identify, analyze, and mitigate drone threats.

We are seeking a motivated intern with a foundational understanding of digital signal processing (DSP) and machine learning (ML) to assist in developing innovative solutions across various applications. In this role, you will collaborate with experienced engineers to research, develop, and implement algorithms that tackle real-world challenges, enhance our systems, and integrate new capabilities into our products.

What You'll Do

  • Assist in developing and optimizing DSP algorithms (e.g., filtering, modulation, frequency domain analysis).
  • Support research and implementation of ML models for tasks such as signal classification and anomaly detection.
  • Help implement AI solutions using frameworks like PyTorch, TensorFlow, or Keras.
  • Participate in managing ML pipelines for model development and tracking.
  • Aid in optimizing algorithms for GPU-accelerated computing using CUDA.
  • Contribute to software development using Python and C++.
  • Conduct research on new techniques in DSP and ML, applying findings to support ongoing projects.
  • Collaborate with multidisciplinary teams to develop robust solutions.

What You'll Bring

  • Pursuing a degree in Electrical Engineering, Computer Science, or a related field.
  • Basic proficiency in Python and C++, with familiarity using libraries like NumPy and SciPy.
  • Understanding of deep learning frameworks such as PyTorch or TensorFlow is a plus.
  • Introductory knowledge of DSP techniques (including frequency domain analysis) and their applications.
  • Willingness to learn and adapt to new technologies and methodologies.

Preferred Qualifications

  • Familiarity with RF signal processing is a plus.
  • Experience with data analysis techniques and statistical modeling.
  • Interest in neural architectures relevant to signal processing tasks.

What We Offer

  • Hands-on experience working on innovative projects in DSP and AI technologies.
  • A culture of continuous learning where research and exploration are encouraged.
  • Competitive compensation and professional development opportunities.
  • A collaborative environment where your contributions will help shape the future of DSP and ML.

Don’t meet every single requirement? That's ok. At Dedrone, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

Dedrone is committed to the well-being and safety of its employees as well as Dedrone’s impact on the environment. All Dedrone employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Dedrone employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com.

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Dedrone Headquarters Location

San Francisco, CA

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Dedrone Company Size

Between 100 - 200 employees

Dedrone Founded Year

2014

Dedrone Total Amount Raised

$127,859,968

Dedrone Funding Rounds

View funding details
  • Series C

    $30,000,000 USD

  • Series C

    $30,500,000 USD

  • Series Unknown

    $12,100,000 USD

  • Series Unknown

    $27,359,970 USD

  • Series B

    $15,000,000 USD

  • Series A

    $10,000,000 USD

  • Seed

    $2,900,000 USD

Dedrone's Investors

Dedrone's Industries

Dedrone's Tech Stack