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Ml Engineer Jobs in Oregon (NOW HIRING)

AI Agent ML Engineer

OR

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb ...

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb ...

The AI/ML Engineer (Data Scientist) is responsible for developing, validating, and operationalizing analytic models, statistical methods, and machine learning approaches that support readiness ...

Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas, transformers, and torch. * Familiarity with the technical details of deep learning concepts, such as ...

OR

$466K - $750K/yr

We are looking for a Senior ML Engineer to bridge the gap between cutting-edge AI research and shipped game features. You will be a core technical contributor, responsible for implementing GenAI ...

As a Staff ML/AI Platform Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for ...

$114K - $137K/yr

The AI/ML Engineer builds, deploys, and supports production forecasting and AI capabilities on top of the company's governed Databricks lakehouse foundation. This role focuses on feature engineering ...

Job Title: Sr. Manager, Data & ML Engineering Reports to: Director, Data Platforms & Engineering Location: United States (Remote) Interested applicants must reside in one of the following approved ...

Senior Machine Learning Engineer

OR · Remote

$140K - $190K/yr

We're looking for an experienced ML engineer who is passionate about turning advanced AI research into scalable, real-world solutions. You thrive on solving complex problems, pay close attention to ...

The ML Ops Engineer will work at the intersection of advanced AI/ML development, machine learning system deployment, and mission-critical applications, ensuring end-to-end lifecycle management of AI ...

OR

$114K - $137K/yr

Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation ... vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production * Solid ...

OR · On-site

Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap with data-driven insights and forward-looking ML capabilities * Act as a thought leader on emerging ...

As an AI/ML Engineer on the Workday Adaptive Planning team, you'll help redefine how financial planning is done at scale-by designing and building intelligent, agentic workflows that power the next ...

OR · On-site

$122K - $161K/yr

Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information ... Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas ...

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Ml Engineer information

See Oregon salary details

$34.9K

$94.3K

$150.1K

How much do ml engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for ml engineer in Oregon is $94,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $115,200.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in fields like software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in cutting-edge technology environments.

What does an ML engineer do?

An ML engineer designs, develops, and deploys machine learning models and algorithms to solve specific problems. They work with data preprocessing, model training, evaluation, and optimization, often using tools like Python, TensorFlow, or PyTorch. Their role involves integrating models into production systems and ensuring their performance and scalability.

What are the key skills and qualifications needed to thrive as an ML Engineer, and why are they important?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are ML Engineers?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges Machine Learning Engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

Are ML engineers still in demand?

Yes, ML engineers are in high demand due to the growing adoption of machine learning and AI across industries. They are sought after for their skills in data modeling, programming, and tools like TensorFlow and PyTorch, with job opportunities expected to remain strong as organizations continue to leverage AI technologies.
What are the most commonly searched types of Ml Engineer jobs in Oregon? The most popular types of Ml Engineer jobs in Oregon are:
What cities in Oregon are hiring for Ml Engineer jobs? Cities in Oregon with the most Ml Engineer job openings:
Infographic showing various Ml Engineer job openings in Oregon as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $94,292 per year, or $45.3 per hour.

$165K - $190K/yr

Other

Medical, Retirement, PTO

Re-posted 28 days ago


Job description

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world-from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.


Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb's departments. This hybrid role blends hands-on engineering with strategic vision, ensuring our AI capabilities deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus of this role is to understand complex business processes and translate them into agentic frameworks for automation and optimization.

Key Responsibilities
  • Architect and develop multi-agent systems for process automation and intelligent decision-making.
  • Implement reasoning, planning, and tool-use capabilities using frameworks such as LangChain, AutoGPT, or similar.
  • Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency.
  • Analyze, map, and document business processes; translate process requirements into agentic frameworks and automation solutions.
  • Collaborate with business stakeholders to identify opportunities for agent-driven process improvement.
  • Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models.
  • Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.
  • Optimize models for scalability, latency, and accuracy in production environments.
  • Champion Responsible AI practices, including monitoring, guardrails, and compliance with governance standards.
  • Lead Agile AI Operations, including backlog management, sprint planning, cross-functional collaboration, and continuous improvement.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field.
  • 3+ years' experience in AI/ML engineering, agent development, process engineering, or related roles.
  • Proven track record of building and deploying production-grade AI agents and ML models.
  • Deep expertise in at least three of the following: Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI.
  • Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools.
  • Experience in business process analysis, process mapping, and workflow automation.
  • Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate).
  • Success operating in a matrix environment, developing strong relationships across functional groups (e.g., IT, business, UX) to achieve shared goals.
  • Demonstrated expertise in Agile methodologies (e.g., Scrum, SAFe), with experience managing AI backlogs, sprints, and team metrics.
  • Excellent leadership, communication, and presentation skills, with the ability to engage and influence internal and external stakeholders, and proven sound business judgment and financial acumen.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000 and $190,000.The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors. 

What We Offer:

 

  • Comprehensive health, wellness, and retirement benefits.
  • Paid time off and programs that support work-life balance.
  • Opportunities to learn, grow, and contribute to meaningful work.

Check out our US benefits here - Employee Benefits: Bausch + Lomb

Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.

To learn more please read Bausch + Lomb's Job Offer Fraud Statement.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.