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Machine Learning Engineer Jobs in Bend, OR (NOW HIRING)

Lonza Group Ltd.

Applied R&D Data Scientist

Bend, OR · On-site

Strong programming skills in Python and proficiency with scientific computing and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or similar tools. * Working knowledge of ...

Lonza

Applied R&D Data Scientist

Bend, OR · On-site

Strong programming skills in Python and proficiency with scientific computing and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or similar tools. Working knowledge of ...

Lonza

Applied R&D Data Scientist

Bend, OR · On-site +1

Strong programming skills in Python and proficiency with scientific computing and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or similar tools. * Working knowledge of ...

Lonza

Applied R&D Data Scientist

Bend, OR · On-site +1

Strong programming skills in Python and proficiency with scientific computing and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or similar tools. * Working knowledge of ...

Epic Aircraft

CNC Programmer

Bend, OR · On-site

$28 - $38.25/hr

Develop and maintain CNC programs for machining composite molds, trim tools, fixtures, and ... Open to new ideas, challenges, and learning opportunities * Self-motivated, dependable, and ...

Epic Aircraft

CNC Programmer

Bend, OR · On-site

$28 - $38.25/hr

Develop and maintain CNC programs for machining composite molds, trim tools, fixtures, and ... Open to new ideas, challenges, and learning opportunities * Self-motivated, dependable, and ...

What the Tech, Bend?

Planning Analyst

Bend, OR · On-site

Develop, validate, and maintain advanced statistical models and machine learning algorithms to ... Engineering, Operations Research, or a highly quantitative field * Master's degree or specialized ...

SOLV Energy, LLC

Optimization Engineer I

Bend, OR · On-site

$89K - $106K/yr

General DutiesSupport engineering and procurement teams through the utilization of in-house developed software solutions (Propt tool).Coordinate with Engineering Management, Preconstruction ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Bend, OR

Machine Learning Engineer information

See Bend, OR salary details

$33.2K

$135.9K

$204.1K

How much do machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning engineer in Bend, OR is $135,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $163,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

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

More about Machine Learning Engineer jobs

What cities near Bend, OR are hiring for Machine Learning Engineer jobs?

Cities near Bend, OR with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Bend, OR as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 18% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $135,851 per year, or $65.3 per hour.

Applied R&D Data Scientist

Bend, OR • On-site

Lonza Group Ltd.
See more jobs at Lonza Group Ltd.external

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Applied R&D Data Scientist Join Lonza's Advanced Synthesis division and help transform scientific data into powerful AI-enabled solutions that accelerate innovation in life sciences. This is an exciting opportunity to apply machine learning, data science, and cheminformatics expertise to solve complex R&D challenges and influence how scientific decisions are made across a global organization.

What you will get:
  • Performance-related bonus.
  • Medical, dental and vision insurance.
  • 401(k) matching plan.
  • Life insurance, as well as short-term and long-term disability insurance.
  • Employee assistance programs.
  • Paid time off (PTO).

Compensation for this role will be determined by the candidate’s qualifications, skills, experience, and relevant knowledge.

What you will do:

Develop and apply machine learning, statistical, AI, and cheminformatics solutions to address high-priority R&D challenges across chemical synthesis, process development, analytical sciences, and bioconjugation. Transform structured and unstructured scientific data into actionable insights, predictive models, and decision-support tools that enhance scientific understanding and experimental efficiency. Build, validate, and optimize predictive and analytical models for applications such as reaction prediction, process optimization, impurity analysis, and experimental design. Design and evaluate innovative AI-enabled capabilities, including generative AI, semantic search, information extraction, and scientific knowledge systems. Create reproducible data pipelines, feature engineering workflows, and model evaluation frameworks while ensuring scientific rigor and appropriate treatment of uncertainty and model limitations. Collaborate closely with R&D scientists, chemists, process engineers, product managers, data engineers, and IT teams to deliver impactful technical solutions and support implementation. Drive projects independently from problem definition through to validated outcomes, contributing to the growth of Lonza’s data science and AI capabilities within Advanced Synthesis.

What we are looking for:
  • Bachelor’s or advanced degree in a relevant quantitative or scientific discipline, with demonstrated experience applying data science or machine learning to chemistry, molecular, pharmaceutical, or related scientific R&D problems.
  • Demonstrated experience applying data science, machine learning, AI, or scientific computing methods to solve complex real-world scientific or technical problems.
  • Strong programming skills in Python and proficiency with scientific computing and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or similar tools.
  • Working knowledge of chemistry and chemical data, including familiarity with chemical structures, reactions, properties, and experimental datasets.
  • Experience developing, validating, and interpreting predictive models while effectively communicating results, assumptions, uncertainty, and limitations.
  • Proven ability to work independently in ambiguous technical environments, identify practical solutions, and deliver high-quality outcomes with scientific rigor.
  • Strong collaboration and communication skills, with the ability to work effectively across multidisciplinary teams and engage both technical and non-technical stakeholders.
About Lonza

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of. Innovation thrives when people from all backgrounds bring their unique perspectives to the table.

At Lonza, we offer equal employment opportunities to all qualified applicants regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law.

If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board. Ready to shape the future of life sciences?

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