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

Serán is hiring for an Engineer I supporting Process Development who will support process development of pharmaceutical drug products beginning with initial prototyping experiments through early ...

Seran is hiring for an Engineer I supporting Process Development who will support process development of pharmaceutical drug products beginning with initial prototyping experiments through early ...

Serán is hiring for an Engineer I supporting Process Development who will support process development of pharmaceutical drug products beginning with initial prototyping experiments through early ...

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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 May 31, 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 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 are Machine Learning Engineers?

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 jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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.

What are the most commonly searched types of Machine Learning Engineer jobs in Bend, OR? The most popular types of Machine Learning Engineer jobs in Bend, OR are:
What job categories do people searching Machine Learning Engineer jobs in Bend, OR look for? The top searched job categories for Machine Learning Engineer jobs in Bend, OR are:
What cities near Bend, OR are hiring for Machine Learning Engineer jobs? Cities near Bend, OR with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Bend, OR as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution, with an average salary of $135,851 per year, or $65.3 per hour.

Full-time

Posted 7 days ago


Job description

Serán is hiring for an Engineer I supporting Process Development who will support process development of pharmaceutical drug products beginning with initial prototyping experiments through early clinical manufacturing with guidance from senior team members.  Over time, the candidate will gain skills to support process design and scale-up, culminating in late stage process validation. This position will require aptitude for hands-on execution, hypothesis-driven experimental design, and data analysis.  The Engineer will collaborate with experts in formulation and product design and analytical sciences to form a comprehensive, multi-disciplinary project team that consistently meets milestones and objectives.

Duties and Responsibilities
  • Follows written protocols to execute basic and advanced procedures such as analytical protocols, laboratory experiments, or manufacturing processes
  • Develops experimental protocols and templates with guidance
  • Identifies out of trend data and proposes hypothesis and next steps with guidance
  • Summarizes, reports, and analyzes data to draw conclusions with guidance
  • Contributes to laboratory, instrument, and/or equipment maintenance and coordination
  • Communicates technical information to internal team
  • Communicates technical information to external partners with guidance
  • Participates as technical lead in project teams with guidance
  • Contributes to technical reports and presentations with guidance
  • Responsibilities may increase in scope to align with company initiatives
Required Skills and Abilities
  • Excellent verbal and written communication skills
  • Excellent organizational skills and attention to detail
  • Excellent time management skills with a proven ability to meet deadlines
  • Ability to work collaboratively in a cross-functional team environment
  • Ability to function well in a high-paced and at times stressful environment
  • Scientific curiosity and willingness to learn
  • Experience with basic laboratory skills
  • Strong analytical and problem-solving skills
  • Communicates effectively and maintains productive relationships with coworkers, clients, and other contacts outside the company
  • Demonstrated ability to collaborate and work in cross-functional teams
  • Accepts and addresses feedback from a variety of sources and constructively manages conflict
Education and Experience
  • B.S. or higher in Science or Engineering discipline
Physical Requirements
  • Prolonged periods of sitting or standing at a desk and working on a computer
  • Must be able to lift up to 25 pounds regularly and up to 50 pounds occasionally
  • Motor skills required for basic laboratory operations (pouring liquids, using utensils to transfer powders, visual assessments)
Visit https://www.seranbio.com/careers to learn more about company culture and the community of Bend, Oregon.
 
Applicants must be authorized to work for an employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
 
Benefits Summary:
Serán employees accrue over four weeks of paid time off annually. Employer contributions to a retirement account begin after 90 days and do not require an employee match or vesting period. Various health plans allow employees to find the best coverage for their individual or family needs with minimal employee contributions. Serán covers each employee with basic life and long-term disability, giving access to increase or add coverage. An Employee Assistance Program provides support for all things related to our employees’ wellbeing, along with access to pet insurance.
 
The Corporate Headquarters of Serán BioScience are located at 63047 Layton Ave, Bend, OR 97701

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.