ZeroMark, Inc.

Senior Machine Learning Operations Engineer

New York, NY · Senior

Sponsorship not specified$46k-$919kDetected 105 days ago

PythonC++AlgorithmsAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningTensorFlowPyTorchscikit-learnNLPComputer VisionMLOpsResearchCommunicationCollaborationProblem Solving

About the role

Just field-proven technology that saves lives.
We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms.
Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats-because a $200 drone shouldn't require a million-dollar countermeasure.

Responsibilities

Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.
Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.
Ability to work independently and manage multiple priorities in a fast-paced environment.

Skills

Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Solid understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
Experience with MLOps tools and practices.
Experience deploying a variety of edge systems.
Experience with TensorRT and other similar technologies.
Deep knowledge of C++ and Python.
Domain Knowledge:
Experience or strong interest in defense, aerospace, or related industries is highly desirable.
Collaboration & Communication:
Ability to translate complex technical concepts into clear and concise language.
Problem-Solving:

Compensation

Competitive salary, equity, and benefits package.

Benefits

Competitive salary, equity, and benefits package.
Opportunity to work on cutting-edge technology with a significant impact on national security.
Experience with specific computer vision tasks such as object detection, segmentation, or tracking.
Design, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
Work in conjunction with computer vision specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts.
Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems.
Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.
Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.

Company info

ZeroMark builds AI-driven counter-drone systems that actually work in combat.
No PowerPoints.
Here's what makes us different: ZeroMark operators don't build from behind screens.
You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii.
When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure.
We don't tweet about changing the world-we're too busy actually doing it.
Watch us in action here https://drive.google.com/file/d/1U9z2zG1nQBaMqX3pIMGM1Cn7mjaN3Pc8/view?usp=sharing.
Dark humor required, thick skin recommended.
If you want to make an actual impact-and have some unforgettable Tuesday afternoons along the way-let's talk.
We're all about delivering practical, field-tested tech, not just theories.

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