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Remote Cyber Security Machine Learning Jobs in Boston, MA

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Beacon Biosignals

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... and machine learning models for marketing measurement. This role is designed for someone with ...

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... and machine learning models for marketing measurement. This role is designed for someone with ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

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Showing results 41-60

All JobsCyber Security Machine Learning 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 Sep 4, 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 a remote cyber security machine learning specialist?

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.

What are the key skills and qualifications needed to thrive as a remote cyber security machine learning specialist?

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.

How does a remote cyber security machine learning specialist 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 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 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
Infographic showing various Remote Cyber Security Machine Learning job openings in Boston, MA as of June 2026, with employment types broken down into 5% As Needed, 81% Full Time, and 14% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $133,508 per year, or $64.2 per hour.

AI Data Engineer

C the Signs

Boston, MA • On-site, Remote

$124K - $149K/yr

Full-time

Re-posted 9 days ago

Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Apply