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Machine Learning Manager Jobs in Oregon (NOW HIRING)

Quantiphi, Inc.

Technical Architect - Machine Learning

OR · Remote

$66.25 - $80/hr

Role: Architect - Machine Learning Experience Level: 7+ years Employment type: Full Time Location ... Develop and maintain Model Context Protocol (MCP) implementations to manage state, context windows ...

Automation Anywhere, Inc.

OR

Experience building and managing end-to-end ML pipelines, including data ingestion, feature ... SaaS, Machine Learning, ML, Engineering, NLP, Generative AI, APA, Agentic Process Automation #LI ...

OneStudyTeam

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

Collaborate across teams of data scientists, product managers, designers, engineers, and domain ... Strong understanding of machine learning fundamentals (model selection, training, evaluation ...

Quantiphi, Inc.

OR

$66.25 - $80/hr

Technical Architect Machine Learning Engineer - Agentic AI & Multi-Agent Systems Experience Level ... Develop state management systems and memory mechanisms for persistent agent interactions * Engineer ...

Quantiphi, Inc.

OR

$122.40K - $161.30K/yr

Senior Machine Learning Engineer Experience Level: 4+ years Work Location: Dallas, TX Employment ... Implement and manage comprehensive monitoring solutions for AI models and agent systems in ...

Netflix

OR

You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests.

Netflix

OR

The Machine Learning & Inference Research (MLIR) team works on core methodological development in ... Work closely with a wide range of partners (scientists, engineers, designers, product managers ...

Autodesk

Senior Machine Learning Test Engineer

OR · On-site +1

$110.40K - $143.40K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... You will report to an Engineering Manager in Research Enablement. Location: United States, East ...

Exactsciences

OR

$209K/yr

Position Overview The Sr. Engineer, Machine Learning Operations, with minimal guidance, works ... Establishes and manages model and data versioning, experiment tracking, and lineage to ensure ...

Cresta

OR · On-site

$104.40K - $143.40K/yr

You will partner closely with applied researchers, product managers, designers, forward deployed ... Design, train, evaluate, and deploy machine learning systems that power real-time voice experiences ...

Instacart

OR · On-site

$104.40K - $143.40K/yr

Machine learning sits at the center of that experience, shaping how customers search, discover, and ... This is a hands-on IC and technical leadership role at the Director level with no people management ...

AcuityMD

OR · On-site

$122.40K - $161.30K/yr

Senior Machine Learning Engineer, Data & Intelligence Products AcuityMD is a software and data ... Partner with product managers and cross-functional stakeholders to translate customer problems into ...

Nvidia

OR

Work with some of the brightest minds in a premier AI company to develop leading machine learning ... Good time-management and organization skills to thrive in a fast paced, dynamic environment * Solid ...

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Machine Learning Manager information

See Oregon salary details

$53.9K

$86.4K

$124.8K

How much do machine learning manager jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning manager in Oregon is $86,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $97,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Oregon? The most popular types of Machine Learning jobs in Oregon are:
What are popular job titles related to Machine Learning Manager jobs in Oregon? For Machine Learning Manager jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Oregon look for? The top searched job categories for Machine Learning Manager jobs in Oregon are:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Oregon as of May 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 51% Physical, 5% Hybrid, and 44% Remote job distribution, with an average salary of $86,389 per year, or $41.5 per hour.
Technical Architect - Machine Learning

Technical Architect - Machine Learning

Quantiphi, Inc.

Remote

$66.25 - $80/hr

Full-time

Posted 29 days ago

Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

  • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI-driving measurable outcomes at the very core of their operations.
  • Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value-not just technology for technology's sake.
  • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We have been recognized with:

  • 3x AWS AI/ML award wins.

  • 3x NVIDIA Partner of the Year title.

  • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms.

  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.

  • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

For more details, visit:WebsiteorLinkedIn Page.

Role: Architect - Machine Learning
Experience Level: 7+ years
Employment type: Full Time
Location: Remote (USA/Canada)

Description:

As an Architect - Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability.

Must have skills:

  • 7+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
  • Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.

Natural Language Processing

  • Should have experience with Deep Learning Concepts - Transformers, BERT, Attention models
  • Strong programming skills in Python and experience with NLP libraries such as Hugging Face Transformers, SpaCy, NLTK, or Stanford NLP
  • Strong understanding of NLP concepts: tokenization, embeddings, syntactic and semantic parsing, named entity recognition, and coreference

Agentic AI

  • Design and implement agentic AI architectures using frameworks such as LangChain or Amazon Bedrock Agents, enabling autonomous task planning, decision-making, and multi-step reasoning.
  • Architect and deploy scalable AI solutions on AWS, leveraging services like Lambda, Bedrock, Step Functions, S3, API Gateway, and SageMaker.
  • Develop and maintain Model Context Protocol (MCP) implementations to manage state, context windows, memory, and prompt orchestration across distributed agent systems.
  • Integrate agentic workflows with LLMs (Titan, Nova, Cohere, Claude, etc.) via Bedrock, ensuring high-availability and multi-model support
  • Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2.
  • Familiarity with LLM tool use, prompt templating, vector stores (e.g., Opensearch, Pinecone, Elasticsearch, Bedrock KB), and context management.
  • Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
  • Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.
  • Experience implementing secure, scalable APIs and integrating with 3rd-party data sources and tools
  • Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.

Good to have skills:

  • Experience of working for customers/workloads in the Edtech domain with use cases.
  • Experience with software development

What is in it for you:

  • Make an impact at one of the world's fastest-growing AI-first digital engineering companies.

  • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.

  • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.

  • Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Apply