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.
Your Impact
As a Machine Learning Engineer at Dedrone, you’ll play a pivotal role in advancing airspace security. Leveraging cutting-edge camera systems and machine learning algorithms, you will help us detect, track, and classify diverse flying objects in complex airspace environments. By innovating detection and tracking techniques, you’ll be key in developing our systems to respond to evolving airspace threats—from quadcopters and drones to other larger or unconventional aircraft. Working within a highly skilled team, you’ll gain access to world-class resources and an extensive, unique dataset, providing a one-of-a-kind opportunity to shape the future of airspace security and computer vision.
What You’ll Do
- Design, train, and evaluate representation learning and self-supervised learning models for detecting, tracking, and classifying flying objects from multi-camera systems.
- Explore and implement state-of-the-art SSL techniques (e.g., contrastive learning, masked image modeling, multi-view/temporal SSL) to leverage large-scale unlabeled video and image data.
- Develop, test, and optimize end-to-end computer vision pipelines (detection, tracking, re-identification, classification) built on top of learned representations.
- Translate research papers into production-quality code: design experiments, run ablations, manage benchmarks, and clearly communicate results.
- Keep pace with industry and academic advancements by surveying literature, attending conferences, and engaging with the research community, and bring those insights back into the product roadmap.
What You Bring
- Demonstrated experience in representation learning and self-supervised learning for computer vision, ideally on video or multi-camera problems (e.g., contrastive learning, MOCO, SimCLR, BYOL, MAE, DINO, etc.).
- Proven track record training and deploying deep vision models (e.g., YOLO, Faster/Mask RCNN, RT-DETR, or transformer-based detectors) and building applications on top of learned features.
- 5+ years of experience with the Python programming language and object-oriented design, with strong skills in deep learning frameworks such as PyTorch (or TensorFlow/JAX).
- Strong background in computer science, applied math, or electrical engineering, with a solid grasp of the mathematical principles underlying deep learning, optimization, and probabilistic tracking.
- Experience designing and running rigorous experiments: dataset curation, evaluation protocols, statistical analysis, and clear reporting of results.
- Excellent problem-solving and communication skills, and a track record of applying the scientific method to develop, validate, and iteratively improve algorithmic solutions in a production or research environment.
- (Nice to have) Publications in top-tier vision/ML conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML) or equivalent evidence of research impact.
Work Location
This role is based out of our Sterling Office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you workDon’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.
