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

STR

Lead Signal Processing Researcher

Boston, MA · On-site

$173K - $216K/yr

... highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence ... Develop electronic warfare and radar system concepts, signal processing and machine learning ...

STR

Lead Signal Processing Researcher

Woburn, MA · On-site

$173K - $216K/yr

... highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence ... Develop electronic warfare and radar system concepts, signal processing and machine learning ...

STR

Principal Signal Processing Researcher

Woburn, MA

$206K - $284K/yr

... highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence ... Develop electronic warfare and radar system concepts, signal processing and machine learning ...

STR

Lead Signal Processing Researcher

Woburn, MA · On-site

$173K - $216K/yr

... highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence ... Develop electronic warfare and radar system concepts, signal processing and machine learning ...

MIT Lincoln Laboratory

AI/ML Engineering

Lexington, MA · On-site

... defense problems through simulation, modeling, algorithm development, autonomy and machine learning, hardware prototyping, field testing and analysis. The successful candidate will be able to work on ...

MIT Lincoln Laboratory

AI/ML Engineering

Lexington, MA · On-site

... defense problems through simulation, modeling, algorithm development, autonomy and machine learning, hardware prototyping, field testing and analysis. The successful candidate will be able to work on ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models ... Prior experience in defense is a plus MORSE Corp's salary range for this role carefully considers a ...

STR

Lead Signal Processing Researcher

Woburn, MA · On-site

$173K - $216K/yr

... highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence ... Develop electronic warfare and radar system concepts, signal processing and machine learning ...

MIT Lincoln Laboratory

System Analyst

Lexington, MA · On-site

... defense systems. Work will involve support in the development of data analysis in areas that include signal processing and detection, machine learning and artificial intelligence, multiple target ...

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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
Lead Signal Processing Researcher

Lead Signal Processing Researcher

STR

Boston, MA • On-site

$173K - $216K/yr

Full-time

Posted 5 days ago

Job description

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security requirements. Our particular focus areas include airborne/spaceborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation.

The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar modes, skills and applications, with particular emphasis on advanced signal processing chains and associated algorithm research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs.

About the Role:

As a Lead Signal Processing Researcher, you will create and lead technical teams that develop, test, integrate, and demonstrate novel signal processing, optimization, and machine learning algorithms for advanced electronic warfare and sensor applications.

A successful candidate will have demonstrated leadership skills and substantial expertise in several of the following areas: optimization, electronic warfare, adaptive signal processing, machine learning, algorithm development, algorithm integration, test & evaluation, model & simulation, systems engineering, radar systems, or communications systems. This position requires skills working as part of and leading multi-disciplinary teams designing, analyzing, integrating, and demonstrating signal processing algorithms for complex systems.

What you will do:

  • Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges
  • Provide technical leadership to small, multi-disciplinary teams that develop, implement, test, and integrate novel sensing, electronic warfare, and signal processing systems
  • Direct Modeling and Simulation activities of advanced RF systems in support of algorithm development, test, and integration
  • Plan and support algorithm test and evaluation activities, including performance assessment in laboratory and field environments
  • Clearly communicate with customers, stakeholders, sponsors, prime- and subcontractors

Who you are:

  • Active Security Clearance, with eligibility to support special access programs, for which US Citizenship is required by the US government
  • PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline with 3–8+ years of relevant experience depending on degree
  • Strong scientific programming skills including Matlab, Python, Simulink and/or C/C++
  • Strong communication skills and the ability to describe complex technical concepts to fellow researchers as well as to non-technical people
  • Ability to translate customer requirements to determine research focus
  • Ability to create and present deep technical briefings as well as high-level briefings to Customers and senior management
  • Experience with designing, implementing, testing, and analyzing ML/AI algorithms
  • Strong understanding of radar architectures, waveforms, modes, and RF signal chains

Even Better:

  • Current TS/SSBI with SCI and ability to gain and hold SCI/SAP accreditations
  • Experience with advanced RF system concepts, signal processing, open architectures, and systems integration
  • Experience in Software Development
  • Ability to survey literature to determine state-of-the-art, incorporate recent research, and transition it into integrated, tested solutions
  • Understanding and experience interacting with decision-makers and customers to translate mission needs into an end-to-end, integrated analytical solution

Pay Information
Full-Time Salary Range: $173,000 - $216,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.

STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.


STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.