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Remote Machine Learning Jobs in Beaverton, OR (NOW HIRING)

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Beaverton, OR

Remote Machine Learning information

See Beaverton, OR salary details

$26.5K

$44.3K

$91.6K

How much do remote machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote machine learning in Beaverton, OR is $44,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,800.00 and $47,900.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are popular job titles related to Remote Machine Learning jobs in Beaverton, OR? For Remote Machine Learning jobs in Beaverton, OR, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Beaverton, OR look for? The top searched job categories for Remote Machine Learning jobs in Beaverton, OR are:
What cities near Beaverton, OR are hiring for Remote Machine Learning jobs? Cities near Beaverton, OR with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Beaverton, OR as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $44,307 per year, or $21.3 per hour.
Software Engineer - Professional Archive Search

Software Engineer - Professional Archive Search

Smarsh

Portland, OR • Remote

$115K - $145K/yr

Full-time

Re-posted 24 days ago

Job description

As a Software Engineer on the Professional Archive Search team, you’ll help design, build, and deliver high-quality software solutions that power our search platform. Your work will support Smarsh clients in meeting their compliance needs by enabling reliable, scalable, and high-performance search capabilities.

You’ll collaborate with cross-functional partners across Product Management, Engineering, and Site Reliability to solve complex challenges and continuously improve our systems. We’re looking for someone who is curious, thoughtful, and motivated to contribute to meaningful technical work in a collaborative environment.

How will you contribute?
  • Support and empower your team by contributing to a collaborative, inclusive, and respectful work environment
  • Partner with engineers and stakeholders across teams to design and implement scalable solutions
  • Participate in a shared on-call rotation to support service reliability and incident response with a focus on learning and prevention
  • Collaborate with Product and Engineering to define technical requirements, timelines, and deliverables
  • Apply modern engineering practices, including Agile methodologies, CI/CD pipelines, and DevOps principles
  • Review code, identify areas for improvement, and help reduce technical debt
  • Troubleshoot and resolve production issues to maintain high availability and performance
  • Continuously learn about emerging technologies and evaluate how they can benefit the team
  • Deploy and manage applications in Kubernetes environments
  • Monitor application health and performance using tools such as Splunk, Datadog, and Grafana
What will you bring?

We’re looking for someone who enjoys working with others, values continuous learning, and communicates openly and respectfully. You’re someone who shares knowledge, supports teammates, and contributes to a positive team culture.

  • Experience working in a modern private cloud-based environment and familiarity with distributed systems
  • Exposure to some of our technology stack, along with a willingness to learn new tools and languages
  • A collaborative mindset, with openness to feedback and different perspectives
  • Understanding of modern software development practices and Agile methodologies
  • Ability to communicate progress, challenges, and ideas clearly
  • Comfort working in evolving environments where requirements may change over time
  • A proactive approach to problem-solving and cross-functional collaboration
Preferred Qualifications
  • Around 4+ years of experience in software engineering
  • Experience with search technologies such as Solr, Lucene, or Elasticsearch
  • Proficiency in Java or C#
  • Experience deploying and managing applications in Kubernetes
  • Familiarity with MS SQL
  • Experience working with Linux-based systems and WSL
  • Exposure to messaging systems such as Kafka or AMQ
  • Participation in open-source projects or technical communities
  • The ProArchive Application Development team embraces an AI-first mindset, continuously elevating developer productivity through tools like GitHub Copilot, Windsurf, and Claude Code. We’re seeking developers who are passionate about advancing their AI-assisted development skills and leveraging them to deliver innovative, high-impact solutions for Smarsh customers.
What do we offer?
  • Healthcare insurance: We provide medical, dental, and vision insurance, and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses.
  • Stock options.
  • Personal time off: A healthy work-life balance is critical to your success at the office. Smarsh offers a “take-what-you-need” time off policy as well as flexible work arrangements.
  • 401K Match: Smarsh provides a 4% 401K match for which employees are fully vested on day one.
  • Sabbatical: The Smarsh sabbatical programme provides a time to recharge, study or simply do something you are passionate about away from the workplace. Employees are eligible after six years of service.
  • Recognition: We’re big on kudos for a job well done. Our employee-recognition programme enables co-workers to nominate their peers who best embody our core values for recognition.
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
 
Don't meet every requirement? Apply anyway! We value diverse candidates and encourage applications, even if you don't perfectly match the job description. Studies have shown that some strong candidates may self-select out of the interview process prematurely, at Smarsh we encourage an inclusive, high-performing environment.
 
Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Including frequency of functions