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Afternoon Computer Modeling Jobs (NOW HIRING)

Soccer Shots

$22 - $30/hr

Morning & afternoon classes run between 9:00am - 4:00pm. Classes are 35 - 40 minutes long. (You ... Encourage character development through positive reinforcement and modeling. * Utilize expert ...

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How much do afternoon computer modeling jobs pay per year?

As of Jun 19, 2026, the average yearly pay for afternoon computer modeling in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Computer Modeling jobs? The most popular types of Computer Modeling jobs are:
Afternoon Computer Modeling jobs near you

Senior Machine Learning Operations Engineer

ZeroMark

New York, NY • On-site

$114K - $157K/yr

Full-time

Posted 14 days ago

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. 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.

Apply