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Remote Cyber Security Machine Learning Jobs in Portland, OR

Cisco

Account Executive - Splunk

Portland, OR · On-site +1

$212K - $291K/yr

This role can be performed remote within Portland or Seattle Meet the Team Splunk, a Cisco company ... Become known as a thought-leader in machine learning and predictive analytics. * Expand ...

Cisco

Account Executive - Splunk

Portland, OR · On-site +1

$212K - $291K/yr

This role can be performed remote within Portland or Seattle Meet the Team Splunk, a Cisco company ... Become known as a thought-leader in machine learning and predictive analytics. * Expand ...

Honor

Staff Data Scientist

Portland, OR · Remote

You possess a strong foundation in traditional predictive machine learning (e.g., classification ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

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All JobsCyber Security Machine Learning JobsRemote Cyber Security Machine Learning JobsRemote Cyber Security Machine Learning Jobs in Portland, OR

Remote Cyber Security Machine Learning information

See Portland, OR salary details

$43K

$130.3K

$190.9K

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

As of Aug 22, 2026, the average yearly pay for remote cyber security machine learning in Portland, OR is $130,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $150,600.00 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 Portland, OR?

For Remote Cyber Security Machine Learning jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Cyber Security Machine Learning jobs in Portland, OR look for?

The top searched job categories for Remote Cyber Security Machine Learning jobs in Portland, OR are:

Remote Cyber Security Machine Learning jobs near you
Infographic showing various Remote Cyber Security Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 5% Internship, 45% Full Time, 5% Part Time, and 45% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,325 per year, or $62.7 per hour.

Senior Director of Product Development

Epiq

Portland, OR • Remote

Full-time

Re-posted 26 days ago

Epiq Systems rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

138th of 225 rated it services

Job description

At Epiq, your work contributes to complex, global legal outcomes. You'll join a valuesdriven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that's recognized externally. Enabled by modern platforms and AI, you'll do the most meaningful work of your career and see your impact at scale.

Job Description:

The Senior Director of Engineering will lead a large global engineering organization responsible for core eDiscovery platform capabilities, including data ingestion, processing, search, analytics, review workflows, productions, reporting, integrations, and AI-enabled features.

The position will be expected to improve platform reliability, delivery predictability, engineering quality, and technical scalability while continuing to support active client needs. This is not a purely strategic role; it requires strong execution, sound judgment, and the ability to drive change in a complex environment.

Key Responsibilities

  • Lead and develop distributed engineering teams across application development, data engineering, QE, DevOps, architecture, and platform services.
  • Own engineering execution for core eDiscovery workflows, including processing, indexing, search, review, production, analytics, and reporting.
  • Drive platform modernization, including APIs, data models, cloud infrastructure, automation, CI/CD, observability, and performance engineering.
  • Partner with Product to translate roadmap priorities into realistic delivery plans.
  • Work closely with Operations and Client Success to reduce client-impacting issues and improve platform usability.
  • Establish clear engineering metrics around delivery, quality, uptime, performance, incidents, and defect trends.
  • Manage technical debt with discipline, balancing client commitments with long-term platform health.
  • Support the introduction of AI and advanced analytics into legal workflows with appropriate controls around auditability, security, and human oversight.
  • Build an engineering culture focused on ownership, accountability, technical excellence, and practical problem solving.

What We're Looking For

  • 12+ years of software engineering experience, including senior leadership responsibility for enterprise or SaaS platforms.
  • Proven experience leading distributed engineering teams.
  • Strong background in data-intensive platforms, workflow systems, search, document management, or enterprise software.
  • Experience modernizing complex platforms without disrupting existing clients.
  • Strong understanding of cloud architecture, APIs, data pipelines, DevOps, automated testing, and production operations.
  • Ability to work across Product, Operations, Security, Finance, Sales, and Client Success.
  • Comfortable making tradeoffs and communicating clearly with executive stakeholders.

Experience That Would Stand Out

  • Experience in eDiscovery, legal technology, litigation support, investigations, compliance, or document review.
  • Familiarity with Relativity, Reveal, Nuix, Everlaw, DISCO, Exterro, OpenText, or similar platforms.
  • Experience with large-scale document processing, OCR, email threading, deduplication, metadata extraction, productions, or review workflows.
  • Experience deploying AI, machine learning, or LLM-based capabilities into enterprise workflows.
  • Experience operating in regulated environments with SOC 2, ISO, HIPAA, GDPR, or similar controls.

Leadership Profile

We need a leader who is technically credible, commercially aware, and operationally disciplined. The ideal candidate can go deep with architects and engineers, but also communicate clearly with clients and executives. They should bring structure without bureaucracy, urgency without chaos, and innovation without losing sight of reliability and defensibility.

Success in This Role Looks Like

  • More predictable roadmap delivery.
  • Measurable improved platform stability and performance.
  • Fewer client-impacting defects and escalations.
  • Stronger engineering accountability and ownership.
  • Better partnership between Engineering, Product, Operations, and Client Success.
  • Clear progress on modernization and technical debt.
  • Practical AI capabilities delivered into real legal workflows.

Why This Role Matters

eDiscovery is changing quickly. Clients expect faster answers, lower cost, better transparency, and responsible use of AI. This role will help shape the engineering foundation needed to compete in that environment - combining scalable data platforms, modern software practices, and defensible legal workflows into products clients can trust.

#LI-KS1 #LI-Remote

The Compensation range for this role is 230,000 to 270,000 USD annually and may be eligible for an annual bonus.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Must be authorized to work in the United States for any employer.

Your specific salary will be determined based on several factors:

  • Location-based market ratefor the role

  • Your abilitiesin relation to the job specification

  • Performanceduring screening and interview

  • Pay paritywith the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

Epiq Leadership Compass

Enterprise Decision Making

Applies deep business and financial insight to guide strategic decisions, resource allocation, and thought leadership.

  • Use financial and market expertise for long-term direction

  • Build strategic partnerships

  • Promote a customer-first mindset

  • Allocate global resources for innovation and growth

Cultivates a Growth Mindset

Fosters innovation through curiosity, smart risk-taking, and adaptability-aligning change with strategy for lasting impact.

  • Promote curiosity and forward-thinking

  • Build a culture of innovation through partnerships

  • Drive innovation to meet client needs

  • Lead innovation with a clear vision

  • Align innovation with market trends

Builds Talented Teams

Builds and develops inclusive, high-performing teams aligned to strategic goals for exceptional talent and business results.

  • Focus on employee engagement

  • Build a strong talent pipeline

Fosters Relationships & Collaboration

Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

  • Build trust-based partnerships

  • Nurture long-term relationships

  • Remove collaboration barriers

  • Celebrate cross-team success

Engages & Influences

Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.

  • Use storytelling to build buy-in

  • Align communication with organizational goals

  • Guild alignment through strong engagement

Maximizes Performance

Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq's goals.

  • Use data to identify improvement opportunities

  • Make informed decisions

  • Align team goals with boarder strategy

  • Empower teams to manage their own goals

  • Translate vision into clear priorities

  • Prepare for disruptions with strong change management

It is Epiq's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual's race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.

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