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Algorithm Engineer Jobs in Portland, OR (NOW HIRING)

Workday, Inc.

Sr Software Development Engineer

Beaverton, OR · On-site

$177K - $234K/yr

... algorithms and data structures; 2 years (24 months) of experience in programming language such as Python; 2 years (24 months) of experience in database and querying languages such as SQL; 2 years (24 ...

KLA

Software Engineer 3

Hillsboro, OR · On-site

$62.50 - $84.25/hr

... algorithm teams to integrate software into end-to-end solutions • Diagnose and resolve system ... Strong programming expertise in C++ and/or C# • Experience with multithreading and ...

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All JobsAlgorithm Engineer JobsAlgorithm Engineer Jobs in Portland, OR

Algorithm Engineer information

See Portland, OR salary details

$63.1K

$118.4K

$215.3K

How much do algorithm engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for algorithm engineer in Portland, OR is $118,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $140,500.00 per year, depending on experience, location, and employer.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and stock options. These roles often require expertise in programming, algorithms, and sometimes leadership responsibilities in tech companies or startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, but AI technology currently complements rather than replaces their role. MLEs are essential for building, deploying, and maintaining complex AI systems, and their expertise in data handling, model tuning, and system integration remains critical as AI advances. Continuous learning and familiarity with tools like TensorFlow or PyTorch are important for MLEs to stay relevant in evolving AI environments.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may test algorithms in simulation or real-world environments to ensure efficiency and accuracy.

What does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive in the Algorithm Engineer position, and why are they important?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What engineers make $300,000 a year?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications in relevant tools and programming languages.
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Algorithm Engineer jobs near you

Cloud Platform Engineer

BizTek People, Inc. | APA International Placement Consultants

Hillsboro, OR • On-site

$60.75 - $81.25/hr

Contractor

Re-posted 14 days ago

Job description


Your Role on the Team
We are building petabyte-class solutions that consume fast moving streams from eCommerce, retail and partner channels and power the critical decisions that drive our business. We are building the Cloud Platform for Data and Analytics on AWS that fuels Client's digital transformation. Focus areas include:
  • Data Streaming / Enrichment / Business Rules / MDM
  • Data Lake / Warehousing
  • Data Governance / GDPR / SOX
  • Data Strategy / Unified Access / IAM / RBAC

We're hiring great Engineers with talent and persistence who can leverage their existing skills and learn new ones.You should have some of the specific technical skills we're looking for and be expert enough in one or two to help ramp others quickly.
  • Be a great teammate on an agile/SCRUM team that sets and meets aggressive goals.
  • Mentor new and less experienced developers to advance their proficiency.
  • Leverage expert development skills and solid design skills to deliver reliable, scalable, performant solutions with modern tooling, data structures and algorithms.
  • Work with Product Owners, Engineering Managers and Principal Engineers to deliver solutions that enable client's digital transformation

Requirements
Minimum qualifications
  • 5+ years developing software systems that operate at scale
  • 3+ years developing software solutions w/ Python
  • 2+ years developing Platforms on a commercial cloud
  • 2+ years developing REST APIs and web services
  • 2+ years with modern CI/CD patterns (e.g. Blue/Green)
  • In depth experience with AWS technologies.
  • BS/MS in CS, a related field or equivalent experience

Ideal technical skills
  • Experience integrating COTS and open source to create petabyte scale data lake solutions
  • Amazon/ AWS/ Linux/IAAS
  • Snowflake / S3
  • Okta / IAM integration
  • Jenkins
  • Terraform
  • Docker
  • Python, Golang, Java, Shell
  • Distributed systems

Skill Set
Python STREAMING DATA GOVERNANCE DISTRIBUTED SYSTEMS API

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