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Ml Engineer Jobs in Remote, OR (NOW HIRING)

AI Agent ML Engineer

OR ยท Remote

$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 Engineer

OR ยท On-site +1

... ML), and intelligent automation solutions that enhance enterprise software engineering, testing ... DevSecOps, and IT operations. The successful candidate will collaborate with cross-functional teams ...

... ML), and intelligent automation solutions that enhance enterprise software engineering, testing ... DevSecOps, and IT operations.The successful candidate will collaborate with cross-functional teams ...

... feature engineering. * Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required. * Personnel must be able to translate operational ...

... feature engineering. * Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required. * Personnel must be able to translate operational ...

Senior Data Scientist

OR ยท On-site +1

... feature engineering. * Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required. * Personnel must be able to translate operational ...

Temporary AI Engineer

OR ยท On-site +1

... ML), and intelligent automation solutions that enhance enterprise software engineering, testing ... DevSecOps, and IT operations. The successful candidate will collaborate with cross-functional teams ...

Value Engineer - Applied AI Location: Remote The Value Engineer - Applied AI sits at the ... Demonstrated experience deploying or implementing AI/ML solutions in enterprise environments - not ...

Value Engineer - Applied AI Location: Remote The Value Engineer - Applied AI sits at the ... Demonstrated experience deploying or implementing AI/ML solutions in enterprise environments - not ...

Cloud Architect

OR ยท Remote

$66.50 - $84.75/hr

Evaluate cloud AI/ML platform capabilities (SageMaker, Vertex AI, Bedrock) and define how NaaS architecture supports AI workload hosting * Provide architecture reviews and guidance across engineering ...

New

Adobe CDP Engineer

OR ยท Remote

$105K - $176K/yr

Coordinate cross-functional support across other engineers and technical resources using AEP and ... Experience with AI/ML models in marketing use cases. * Knowledge of marketing automation platforms ...

Head of AI

OR ยท Remote

Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance. * Identify strategic bets (industries, partnerships, platforms) and ...

Head of AI

OR ยท On-site +1

Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance. * Identify strategic bets (industries, partnerships, platforms) and ...

Principal Architect

OR ยท Remote

FinOps Leadership Integrate cost optimization into architecture and engineering practices. Establish cost-aware patterns for compute, storage, networking, AI/ML, Kubernetes, databases, and SaaS ...

Senior Lead System Architect

OR ยท Remote

$132K - $176K/yr

... engineering experience, including 5+ years designing and deploying AI/ML solutions and 3+ years in systems, solution, or enterprise architecture roles. * Proven success architecting and delivering ...

New

Senior Lead Applied AI Scientist

OR ยท Remote

$176K - $220K/yr

... AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, MLflow, or similar technologies. * Experience with MLOps, LLMOps, cloud AI platforms, APIs, and software engineering best practices.

Data Scientist

OR ยท Remote

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

Data Scientist

OR ยท On-site +1

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

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Showing results 1-20

Ml Engineer information

See Remote, OR salary details

$33K

$89.1K

$141.9K

How much do ml engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ml engineer in Remote, OR is $89,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $108,900.00 per year, depending on experience, location, and employer.

What is an ML engineer?

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 are the key skills and qualifications needed to thrive as an ML engineer?

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 some common challenges ML 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.

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.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

What job categories do people searching Ml Engineer jobs in Remote, OR look for?

The top searched job categories for Ml Engineer jobs in Remote, OR are:

What cities near Remote, OR are hiring for Ml Engineer jobs?

Cities near Remote, OR with the most Ml Engineer job openings:

Infographic showing various Ml Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $89,095 per year, or $42.8 per hour.

$165K - $190K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Re-posted 20 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.ย 

U.S. basedย employeesย may be eligible forย short-term and/orย long-term incentives.ย They may also be eligible toย participateย in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, andย well-beingย benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.ย 

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.