ZipRecruiter

Log In

2

Remote Cyber Security Machine Learning Jobs in Boston, MA

Autodesk

Senior Machine Learning Engineer

Boston, MA · On-site +1

$113K - $155K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Design and implement machine learning capabilities that improve Autodesk's customer-facing ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Modulate

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

We're looking for a Machine Learning Team Lead to guide and grow our ML research and engineering ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Motional

Staff Machine Learning Engineer

Boston, MA · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Modulate

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

We're looking for a Machine Learning Team Lead to guide and grow our ML research and engineering ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Red Hat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

next page

Showing results 1-20

All JobsRemote Cyber Security Machine Learning JobsRemote Cyber Security Machine Learning Jobs in Boston, MA

Remote Cyber Security Machine Learning information

See Boston, MA salary details

$44K

$133.5K

$195.6K

How much do remote cyber security machine learning jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote cyber security machine learning in Boston, MA is $133,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $154,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Cyber Security Machine Learning vs Remote Cyber Security Analyst?

AspectRemote Cyber Security Machine LearningRemote Cyber Security Analyst
Required CredentialsCertifications in cybersecurity and machine learning (e.g., CISSP, CompTIA Security+, Python, ML certifications)Certifications in cybersecurity (e.g., CISSP, CompTIA Security+)
Work EnvironmentFocus on developing algorithms, analyzing data, and automating security processesMonitoring security alerts, investigating incidents, and implementing security measures
Employer & Industry UsageTech companies, cybersecurity firms, organizations leveraging AI for securityOrganizations across industries needing security monitoring and incident response

Remote Cyber Security Machine Learning specialists develop AI-driven security tools, while Remote Cyber Security Analysts focus on monitoring and responding to threats. Both roles require cybersecurity knowledge, but the former emphasizes data analysis and machine learning skills, whereas the latter concentrates on security operations and incident management.

What is a Remote Cyber Security Machine Learning job?

A Remote Cyber Security Machine Learning job involves using machine learning techniques to detect, prevent, and respond to cyber threats, all while working from a remote location. Professionals in this role develop and deploy algorithms that can identify patterns of malicious activity, automate threat detection, and enhance security protocols. They work with large datasets, collaborate with security teams, and continuously update models to address emerging threats. This position combines expertise in both cyber security and machine learning, making it critical for modern, data-driven security operations.

How does a Remote Cyber Security Machine Learning professional typically collaborate with cross-functional teams?

As a Remote Cyber Security Machine Learning professional, you'll often work closely with cybersecurity analysts, data engineers, and IT staff to design, implement, and refine machine learning models that detect and prevent threats. Collaboration happens primarily through virtual meetings, shared documentation, and project management tools, ensuring that everyone stays aligned despite geographic distances. Clear communication and proactivity are key, as you'll need to translate complex machine learning concepts into actionable insights for team members with varying technical backgrounds. Regular updates and feedback loops help ensure that models are robust, effective, and aligned with organizational security goals.

What are the key skills and qualifications needed to thrive as a Remote Cyber Security Machine Learning Specialist, and why are they important?

To excel in a Remote Cyber Security Machine Learning role, you need a strong background in computer science, cybersecurity principles, and machine learning algorithms, typically supported by a relevant degree and experience. Familiarity with tools like Python, TensorFlow, PyTorch, and security platforms such as SIEM systems, along with certifications like CISSP or CEH, is often required. Excellent analytical thinking, problem-solving skills, and clear remote communication set top performers apart. These abilities are crucial for proactively identifying and mitigating threats using advanced AI techniques while collaborating effectively in distributed teams.
What are popular job titles related to Remote Cyber Security Machine Learning jobs in Boston, MA? For Remote Cyber Security Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Cyber Security Machine Learning jobs in Boston, MA look for? The top searched job categories for Remote Cyber Security Machine Learning jobs in Boston, MA are:
Remote Cyber Security Machine Learning jobs near you

Junior Machine Learning Researcher

Straumann

Andover, MA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Straumann rating

7.0

Company rating: 7.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

289th of 418 rated machine equipment manufacturers

Job description


Machine Learning Researcher

POSITION OVERVIEW

The Machine Learning Researcher is responsible for the development, evaluation, and optimization of machine learning and deep learning algorithms that support innovative digital dentistry solutions. This role focuses on advancing artificial intelligence capabilities through research, model development, and collaboration with cross-functional teams to translate cutting-edge technologies into high-impact product features.

Working closely with software engineers, data engineers, product teams, and clinical experts, the Machine Learning Researcher contributes to the full machine learning lifecycle, including data preparation, model training, validation, deployment support, and intellectual property development.

KEY RESPONSIBILITIES

Machine Learning Research & Development

  • Define machine learning and data science requirements for new product features and capabilities.
  • Design, train, validate, and optimize machine learning models, with a focus on deep neural networks and computer vision applications.
  • Develop algorithms utilizing dental imaging data, including 2D and 3D radiographic images, CBCT scans, and intraoral optical scans.
  • Evaluate and improve existing machine learning models using state-of-the-art methodologies and published research.
  • Establish appropriate performance metrics, validation strategies, and error analysis approaches to ensure robust model performance.
  • Design and implement efficient algorithms and data structures for model training and inference.

Data & Engineering Collaboration

  • Collaborate with software engineers and data engineers to improve data pipelines, data management processes, and model deployment workflows.
  • Define data requirements for training, validation, and performance evaluation.
  • Develop data preprocessing and postprocessing pipelines aligned with product and feature requirements.
  • Support the integration of machine learning solutions into commercial software products.

Innovation & Intellectual Property

  • Monitor advancements in machine learning, deep learning, computer vision, and related research domains.
  • Assess emerging technologies and recommend opportunities for application within product development.
  • Contribute to intellectual property generation, including invention disclosures, patent applications, and technical documentation.
  • Collaborate with legal and intellectual property teams to support patent prosecution and maintenance activities.

Quality & Compliance

  • Ensure development activities align with applicable quality management systems and medical device regulations.
  • Support documentation and validation activities required for regulated software products.

REQUIRED QUALIFICATIONS

  • Bachelor's or master's degree in computer science, Data Science, Mathematics, Statistics, Engineering, or a related STEM discipline.
  • Strong understanding of machine learning, deep learning, statistics, and applied mathematics.
  • Minimum of 3 years of experience developing machine learning solutions, preferably within a regulated medical device, healthcare, or life sciences environment.
  • Proficiency in Python and machine learning development workflows.
  • Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with software development and best practices, including source control systems (e.g., Git).
  • Strong analytical and problem-solving skills with the ability to independently investigate complex technical challenges.
  • Demonstrated ability to learn new technologies quickly and contribute effectively within cross-functional teams.
  • Excellent written and verbal communication skills.

PREFERRED QUALIFICATIONS

  • Master's degree or PhD with a specialization in Machine Learning, Artificial Intelligence, Computer Vision, or a related field.
  • Experience working with medical imaging, computer vision, or image segmentation technologies.
  • Experience with 3D image analysis and deep learning techniques applied to healthcare datasets.
  • Familiarity with software development processes in regulated environments (e.g., ISO 13485, IEC 62304, FDA, MDR).
  • Publication records, patent contributions, or demonstrated research experience in machine learning-related fields.

COMPETENCIES

  • Scientific curiosity and innovation mindset.
  • Strong quantitative reasoning and statistical thinking.
  • Creative and practical problem-solving abilities.
  • Attention to detail and commitment to quality.
  • Self-motivated and capable of working independently.
  • Effective collaboration and stakeholder communication skills.
  • Continuous learning orientation.

WORKING CONDITIONS

  • Primarily remote position with occasional travel as required.
  • Collaboration with global cross-functional teams across multiple time zones.
  • Participation in research, product development, and innovation initiatives supporting digital dentistry solutions.

EDUCATION

Required:

  • Bachelor's degree in computer science, Mathematics, Statistics, Engineering, Data Science, or a related STEM discipline.

Preferred:

  • Master's degree or PhD with a concentration in Machine Learning, Artificial Intelligence, Computer Vision, or Data Science.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Employment Type:Full Time

Alternative Locations:United States : Andover (MA)

TravelPercentage:0 - 10%

Requisition ID: 21283

Employment Type: FULL_TIME

Apply