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Remote Machine Learning Engineer Jobs in Portland, OR

About GuideMe is currently looking to add a passionate, hard-working PHP developer to our small ... machine learning a plus - Ability to have fun and work hard required.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Python Tutor

Portland, OR · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... Professional development and learning opportunities * Opportunity to shape manufacturing technology ...

Engineer

Portland, OR · On-site +1

In addition, your work will potentially take you into the remote and scenic areas of our ... learning, and are an excellent communicator, please consider applying. In general, this position ...

Engineer

Portland, OR · On-site +1

In addition, your work will potentially take you into the remote and scenic areas of our ... learning, and are an excellent communicator, please consider applying. In general, this position ...

Systems Engineer

Happy Valley, OR · On-site +1

$65 - $85/hr

Experience working with rotating machinery or propulsion systems, including an understanding of ... primarily remote. Individuals must be a very strong fit for the qualifications and have ...

Systems Engineer

Happy Valley, OR · On-site +1

$65 - $85/hr

Experience working with rotating machinery or propulsion systems, including an understanding of ... primarily remote. Individuals must be a very strong fit for the qualifications and have ...

Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and ... You possess a strong foundation in traditional predictive machine learning (e.g., classification ...

Linear Algebra Tutor

Portland, OR · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Account Executive - Splunk

Portland, OR · On-site +1

$212K - $291K/yr

Become known as a thought-leader in machine learning and predictive analytics. * Expand ... DevOps, security, business applications, and/or analytics. Subscription, SaaS, or Cloud software ...

Account Executive - Splunk

Portland, OR · On-site +1

$212K - $291K/yr

Become known as a thought-leader in machine learning and predictive analytics. * Expand ... DevOps, security, business applications, and/or analytics. Subscription, SaaS, or Cloud software ...

Hybrid (4 days in office/1 day remote) Travel Requirement : 10% Why You'll Love Working With Us At ... Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce ...

Showing results 21-40

Remote Machine Learning Engineer information

See Portland, OR salary details

$33.4K

$136.6K

$205.2K

How much do remote machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote machine learning engineer in Portland, OR is $136,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $164,400.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Portland, OR?

The most popular types of Machine Learning Engineer jobs in Portland, OR are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Portland, OR?

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

What cities near Portland, OR are hiring for Remote Machine Learning Engineer jobs?

Cities near Portland, OR with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $136,560 per year, or $65.7 per hour.

Senior Director of Product Development

Epiq

Portland, OR • Remote

Full-time

Re-posted 24 days ago


Epiq Systems rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

136th of 224 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.


What Epiq Systems employees say

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