1

Senior Machine Learning Researcher Jobs in Portland, OR

Build libraries, user defined functions, and frameworks around Hadoop Research, evaluate and ... Storm Machine learning framework Statistical analysis with Python, R or similar Additional ...

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155K - $181K/yr

... research including ASR, echo cancelation, feedback cancellation, ANC, vocal pitch shifting and transformation. Proficient in DSP theory, scientific programming, adaptive filtering, machine learning ...

... Research, evaluate and utilize new technologies/tools/frameworks around Hadoop eco system • ... Machine learning framework • Statistical analysis with Python, R or similar Additional ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

The AI Engineer, Sr will play a crucial role in developing and implementing applied artificial ... maintain machine learning models and AI services used in production environments • Design and ...

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

We're currently seeking a Senior Developer Technology Engineer, Artificial Intelligence! Would you ... you will research and develop techniques to GPU accelerate workloads in deep learning, machine ...

Overview Join Esri as a Senior UX Researcher - ArcGIS Apps, where you'll focus primarily on ArcGIS ... Ability to deeply understand ArcGIS software and the field of GIS, including proactively learning ...

Showing results 41-60

Senior Machine Learning Researcher information

See Portland, OR salary details

$30.2K

$81.2K

$145.8K

How much do senior machine learning researcher jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior machine learning researcher in Portland, OR is $81,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $104,500.00 per year, depending on experience, location, and employer.

What does a senior machine learning researcher do?

A Senior Machine Learning Researcher leads the development and application of advanced machine learning models to solve complex problems. They are responsible for designing experiments, analyzing large datasets, publishing research findings, and collaborating with engineering teams to implement solutions. Additionally, they mentor junior researchers, stay updated with the latest advancements in AI, and often contribute to setting the research agenda for their organization.

What are the key skills and qualifications needed to thrive as a senior machine learning researcher, and why are they important?

To thrive as a Senior Machine Learning Researcher, you need advanced knowledge in machine learning algorithms, statistical analysis, programming (typically in Python), and a relevant advanced degree such as a PhD or Master's in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, as well as familiarity with cloud computing platforms and research publication, is often required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and present complex ideas clearly. These skills and qualities are essential for driving innovation, developing robust models, and translating research into practical, impactful solutions.

What opportunities for collaboration typically exist for senior machine learning researchers within a company?

Senior Machine Learning Researchers frequently collaborate with cross-functional teams, including data engineers, software developers, and domain experts. This collaboration ensures that research insights are effectively translated into scalable solutions and integrated into products or services. Researchers often participate in brainstorming sessions, code reviews, and joint publications, fostering a culture of innovation and shared knowledge. These interactions not only drive the success of projects but also provide valuable learning experiences and networking opportunities.

What is the difference between Senior Machine Learning Researcher vs Data Scientist?

AspectSenior Machine Learning ResearcherData Scientist
CredentialsAdvanced degrees in CS, ML, or related fieldsDegree in CS, statistics, or related fields; certifications optional
Work EnvironmentResearch labs, R&D teams, academiaBusiness analytics, product teams, startups
Industry UsageResearch-focused roles in tech, academia, R&DData analysis, business insights, product development
Search & Comparison IntentUnderstanding research vs applied roles in MLExploring data analysis careers and skills

While both roles involve working with data and machine learning, a Senior Machine Learning Researcher primarily focuses on developing new algorithms and advancing ML theory in research settings. In contrast, a Data Scientist applies existing models to analyze data, generate insights, and support business decisions. The roles differ mainly in their focus—research innovation versus practical application—though they share overlapping skills and credentials.

What are popular job titles related to Senior Machine Learning Researcher jobs in Portland, OR?

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

Infographic showing various Senior Machine Learning Researcher 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 $81,242 per year, or $39.1 per hour.

Sr.Hadoop Developer

Bridge Tech

Beaverton, OR • On-site

Full-time

Re-posted yesterday


Job description

Job Description
Typically requires a Bachelors Degree and minimum of 5 years directly relevant work experience
Client is embarking on the big data platform in Consumer Digital using Hadoop Distributed File System cluster.  As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a driving force for building solutions.  You will be working on development projects related to commerce and web analytics.
Responsibilities:
Design and implement map reduce jobs to support distributed processing using java, cascading, python, hive and pig; Ability to design and implement end to end solution.
Build libraries, user defined functions, and frameworks around Hadoop
Research, evaluate and utilize new technologies/tools/frameworks around Hadoop eco system
Develop user defined functions to provide custom hive and pig capabilities
Define and build data acquisitions and consumption strategies
Define & develop best practices
Work with support teams in resolving operational & performance issues
Work with architecture/engineering leads and other teams on capacity planning
Qualifications
Qualification:
MS/BS degree in a computer science field or related discipline
6+ years' experience in large-scale software development
1+ year experience in Hadoop
Strong Java programming, shell scripting, Python, and SQL
Strong development skills around Hadoop, MapReduce, Hive, Pig, Impala
Strong understanding of Hadoop internals
Good understanding of AVRO and Json and other compresssion
Experience with build tools such as Maven
Experience with databases like Oracle;
Experience with performance/scalability tuning, algorithms and computational complexity
Experience (at least familiarity) with data warehousing, dimensional modeling and ETL development
Ability to understand and ERDs and relational database schemas
Proven ability to work cross functional teams to deliver appropriate resolution
Nice to have:
Experience with open source NOSQL technologies such as HBase and Cassandra
Experience with messaging & complex event processing systems such as Kafka and Storm
Machine learning framework
Statistical analysis with Python, R or similar
Additional Information

All your information will be kept confidential according to EEO guidelines.