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Machine Learning Defense Jobs in Boston, MA (NOW HIRING)

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... AI means being part of a team shaping the next decade of autonomy from defense applications to ...

STR

Lead Research Scientist - Machine Learning

Boston, MA · On-site

$174K - $220K/yr

Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ... We specialize in advanced research and development for defense, intelligence, and national security ...

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ... We specialize in advanced research and development for defense, intelligence, and national security ...

STR

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$105K - $134K/yr

STR is a technology company focused on advanced research and development for defense, intelligence ... deep learning tools (e.g., PyTorch, JAX, TensorFlow) • Ability to perform experiment design ...

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All JobsMachine Learning Defense JobsMachine Learning Defense Jobs in Boston, MA

Machine Learning Defense information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do machine learning defense jobs pay per year?

As of Jun 24, 2026, the average yearly pay for machine learning defense in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and software engineering. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

How much does Lockheed Martin pay AI?

As a Machine Learning Defense professional at Lockheed Martin, salaries typically range from $80,000 to over $130,000 annually, depending on experience, education, and specific role. Compensation may also include benefits such as health insurance, retirement plans, and performance bonuses, with opportunities for career advancement in defense and aerospace sectors.

What are the key skills and qualifications needed to thrive as a Machine Learning Defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What jobs pay $2000 a day?

In the field of Machine Learning Defense, highly specialized roles such as senior machine learning engineers, AI security consultants, or cybersecurity analysts working on AI systems can command daily rates of around $2000 or more, especially with extensive experience, advanced certifications, and working on critical projects. These positions often require expertise in AI algorithms, cybersecurity, and relevant tools like Python, TensorFlow, or cybersecurity frameworks, and may involve consulting or contract work with flexible schedules.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

Which 3 jobs will survive AI?

In the field of Machine Learning Defense, roles such as cybersecurity analysts, AI security specialists, and data scientists are likely to persist as they require complex judgment, domain expertise, and ongoing adaptation to evolving threats. These jobs involve critical thinking, understanding of adversarial AI techniques, and specialized skills that are difficult to fully automate. Continuous learning and certifications in cybersecurity or AI are valuable for staying relevant in these roles.

What are some common challenges faced by professionals in Machine Learning Defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.
What are popular job titles related to Machine Learning Defense jobs in Boston, MA? For Machine Learning Defense jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Boston, MA look for? The top searched job categories for Machine Learning Defense jobs in Boston, MA are:
Machine Learning Defense jobs near you
Machine Learning Engineer

Machine Learning Engineer

ICONSTAFF

Cambridge, MA • On-site, Remote

Full-time

Medical, Retirement

Posted 25 days ago

Job description

Machine Learning Engineer – Computer Vision & Robotics


Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. We are a fast-growing, dual-use technology company at the forefront of national security and commercial innovation, with a mission to push the boundaries of what autonomous systems can achieve.

Joining Tycho.AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond. If you want to work at the cutting edge of AI/ML and robotics with a company that’s poised for major impact and growth, we want to hear from you.


Responsibilities

  • Design, develop, and optimize ML models for computer vision and robotics tasks.
  • Build robust training and fine-tuning pipelines for large-scale datasets.
  • Integrate ML systems into real-world platforms, bridging research and production.
  • Write clean, efficient, and maintainable code across Python and/or C++.
  • Stay current on research and apply state-of-the-art techniques in autonomy and perception.


Requirements

  • Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
  • Hands-on experience applying ML to computer vision and/or robotics.
  • Proficiency with PyTorch or TensorFlow.
  • Strong coding skills in Python or C++ (ideally both).
  • Experience deploying ML models and building training pipelines.
  • Familiarity with Git and collaborative software development practices.


Nice to Have:

  • CUDA kernel development and model optimization (quantization, pruning, distillation).
  • Experience with ONNX, TensorRT, or OpenVINO for deployment.
  • Robotics middleware (ROS2).
  • SLAM, 3D perception, or sensor fusion (LiDAR, IMU).
  • Real-time or low-latency inference pipelines.


Why Tycho.AI

  • Be part of a rapidly scaling startup defining the future of autonomous intelligence.
  • Collaborate with top engineers and researchers from MIT, Google, and across the defense innovation ecosystem.
  • Direct impact on national security missions and dual-use commercial applications.
  • Along with a competitive salary and options, Tycho.AI offer a robust benefits package, including many options from medical insurance with 80% company contribution to pet insurance and a 401(k) retirement plan.