---
title: 'Senior Machine Learning Operations Engineer at Zeromark'
canonical: 'https://feeny.ai/job/senior-machine-learning-operations-engineer-zeromark-new-york-x54ycc8yj6x5'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Machine Learning Operations Engineer at Zeromark

- **Company:** Zeromark
- **Location:** New York, NY
- **Employment:** full-time
- **Posted:** 2026-06-11
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/zeromark/4a6678a2-a3a4-41e6-a2f6-dd3a6b01c8e6

## Job description

## About Us

ZeroMark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. 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. 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.

## What You'll Do

- Design, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.
- 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.
- Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.
- Contribute to the development of best practices for ML engineering, including MLOps, version control, and reproducible research.
- Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.
- Communicate technical concepts effectively to both technical and non-technical stakeholders.

## What You'll Need

- Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.
- Technical 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.
- Experience with various machine learning model architectures and their application (e.g., CNNs, RNNs, Transformers, decision trees, support vector machines).
- 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.
- Understanding of the unique challenges and considerations for deploying ML in defense applications (e.g., adversarial robustness, real-time constraints, data security).
- Collaboration & Communication:
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Ability to translate complex technical concepts into clear and concise language.
- Problem-Solving:
- Strong analytical and problem-solving skills, with a proactive and innovative approach.
- Ability to work independently and manage multiple priorities in a fast-paced environment.

Bonus Points

- Experience with specific computer vision tasks such as object detection, segmentation, or tracking.
- Familiarity with real-time ML systems and embedded systems.
- Contributions to open-source projects or publications in relevant fields.

## What We Offer

- Competitive salary, equity, and benefits package.
- Opportunity to work on cutting-edge technology with a significant impact on national security.
- A collaborative work environment that values innovation.
- Professional development opportunities and career growth.

## About Zeromark

## Company Overview
- **One-liner**: ZeroMark provides an AI-powered targeting layer that turns any weapon into a precision counter-drone system, deployed in minutes.
- **Entity Type**: Private (Seed VC-II)
- **Headquarters**: New York, NY, USA
- **Founded**: 2022
- **Founders**: Joel Anderson

## Core Business
- **Primary industry**: Defense technology, AI-enabled fire control systems
- **Target customers**: US and allied military forces, law enforcement, critical infrastructure protectors, forward-deployed units
- **Mission / purpose**: “Make the dismounted soldier as dominant on the ground as an F-22 is in the sky” – Joel Anderson, CEO

## Products & Services
- **Apex**: AI-powered auto-targeting fire control system for individual operators; neutralizes drone threats in under 2 seconds.
- **Vanguard**: Scalable precision for fixed and mobile mounted platforms; bolt-on enhancement that installs in minutes.
- **Nexus**: Unified software layer connecting every deployment; provides real-time engagement data and C2 integration for shared battlespace awareness.

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric**: Total raised $7M (Seed VC-II, latest round)
- **Notable Investors**: AeroX Ventures, Intrepid Ventures, Calm Ventures, Beaten Zone Venture Partners, Gaingels, and 10+ other investors
- **Growth Signals**: Founded 2022, already fielded in operational environments; hybrid workspace with 6+ open positions (Senior ML Ops, Computer Vision, Mechatronics, etc.); expanding across 3 office locations (NY, DC, and remote/hybrid)

## Competitive Advantages
- First-mover in AI targeting layer that works with existing weapons, platforms, and sensing systems – no new infrastructure required.
- Millisecond AI-driven aim adjustment for high-confidence engagements, addressing the 80% of casualties caused by drones in modern conflicts.
- Bolts onto any current weapon as a modular component, avoiding the replacement cycle of jammers, lasers, and interceptors.
- Predictive engagement modeling minimizes collateral damage.

## Strategic Focus
- Dominate the counter-drone market by providing the intelligence layer that traditional defense systems lack.
- Scale from individual operators to mounted platforms and command interfaces.
- Build a platform for intelligent defense that adapts faster than evolving threats.

## Why Work Here
- **Culture**: Emphasis on ownership, rigor, and responsibility. The team is composed of defense technologists, elite engineers, and operators with firsthand experience.
- **Work style**: Hybrid workspace with offices in New York, NY and Washington, DC. Some roles are in-office, some remote, some hybrid.
- **Impact**: Work is deployed in real operational environments where reliability and precision are critical from day one.
- **Perks**: Not detailed publicly, but roles include senior engineering positions indicating strong technical investment.

## Sources
1. [zeromark.com](https://www.zeromark.com/)
2. [zeromark.com/about](https://www.zeromark.com/about)
3. [zeromark.com/careers](https://www.zeromark.com/careers)
4. [builtin.com](https://builtin.com/company/zeromark-inc)
5. [cbinsights.com](https://www.cbinsights.com/company/zeromark)
6. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/zeromark)

## Other roles at Zeromark

- [General Software Engineer](https://feeny.ai/job/general-software-engineer-zeromark-new-york-qybne0b4am24) — New York, NY
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- [Manufacturing Manager](https://feeny.ai/job/manufacturing-manager-zeromark-new-jersey-qhnw0vsvvdwn) — New Jersey, NJ
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