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Machine Learning Engineer Biotech Jobs in Albany, OR

... Machining Manufacturing Processes Mechanical Design Mechanical Engineering/Machine design ... Learning Agility Digital Fluency Customer Centricity Impact & Scope Impacts own work and acts as a ...

Test Engineer

Corvallis, OR · On-site

$22 - $26/hr

Learning opportunities around each corner. Our People are Our Pride - Benefits and Perk * Expected ... Relentless in our love of linguistics, we use the best of human and machine intelligence to forge ...

Senior Bridge Design Engineer

Salem, OR · Hybrid

$120K - $200K/yr

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Senior Bridge Design Engineer

Salem, OR · Hybrid

$120K - $200K/yr

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Cultivate close working relationships with engineering and marketing counterparts to help identify ... Demonstrated understanding of Artificial Intelligence (AI), Generative AI, Machine Learning (ML ...

Showing results 21-40

Machine Learning Engineer Biotech information

See Albany, OR salary details

$31.4K

$128.5K

$193.1K

How much do machine learning engineer biotech jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning engineer biotech in Albany, OR is $128,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $154,700.00 per year, depending on experience, location, and employer.

What does a machine learning engineer do in biotech?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do machine learning engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a machine learning engineer in biotech?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

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

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are popular job titles related to Machine Learning Engineer Biotech jobs in Albany, OR?

For Machine Learning Engineer Biotech jobs in Albany, OR, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Biotech jobs in Albany, OR look for?

The top searched job categories for Machine Learning Engineer Biotech jobs in Albany, OR are:

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

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

HP PageWide Web Press Controls Systems Engineer

Socket.dev

Corvallis, OR • On-site

$105 - $152/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 2 days ago

New


Job description

HP PageWide Web Press Controls Systems EngineerDescription -

The Industrial Controls Engineer is responsible for designing, developing, commissioning, and supporting industrial machine control systems that operate high‑speed production equipment, with a direct impact on system uptime, product quality, and production throughput. This role focuses on delivering modular, scalable, and standardized control architectures that enable reliable operation, faster commissioning, and efficient long‑term support across machine platforms.

The position emphasizes configuration‑driven control solutions and reusable software components over monolithic, custom PLC implementations. Working closely with mechanical, electrical, manufacturing, and operations teams, the Industrial Controls Engineer ensures that control system design supports stable continuous operation, precise process control, and rapid fault recovery in complex industrial environments.

The role operates within an Agile SCRUM development model, contributing to sprint planning, backlog refinement, and delivery commitments to ensure predictable, incremental delivery of control system capabilities aligned with program milestones.

Key Responsibilities- PLC & Control Software Development
  • Design, develop, and maintain PLC‑based control systems for industrial machinery
  • Implement modular, reusable, and configurable control architectures to support scalability across platforms
  • Develop sequencing logic, state machines, and process control aligned with equipment performance requirements
  • Promote software standardization and best practices across product lines
- HMI & Operator Interface Development
  • Develop and maintain operator interfaces for machine control and monitoring
  • Implement alarm visualization, user roles, diagnostics, and recipe management
  • Ensure HMI designs support usability, maintainability, and consistent operator workflows
- Motion, Drives & Industrial Networking
  • Configure and commission motion systems, drives, and industrial I/O
  • Integrate industrial communication protocols for machine‑to‑machine and higher‑level system connectivity
  • Tune and validate system performance to meet throughput and quality targets
- Machine Safety & Functional Safety
  • Design, implement, and validate machine safety solutions in compliance with applicable safety standards
  • Collaborate with electrical and mechanical teams to ensure safety architecture supports both compliance and machine performance
  • Support safety commissioning, validation, and documentation activities
- Commissioning & Debug
  • Commission machines in factory and customer environments
  • Diagnose and resolve control system, motion, and HMI issues
  • Support Factory Acceptance Tests (FAT) and Site Acceptance Tests (SAT)
  • Optimize system behavior using diagnostics, logging, and performance data
- Electrical & System Integration
  • Collaborate with electrical engineering on control system design and compliance
  • Interface with machine safety systems
  • Coordinate with mechanical engineering, manufacturing, and service teams to ensure system readiness
Education & Experience Recommended
  • Bachelor’s degree (or higher) in Electrical Engineering, Controls Engineering, Computer Engineering, Software Engineering, or a related discipline
    (or equivalent combination of education and experience)
  • Typically 2–4 years of experience in industrial automation, machine controls, or PLC software development
    (0–2 years with an advanced degree)
Knowledge & Skills- Core Skills
  • PLC‑based control system development
  • IEC 61131‑3 programming (Structured Text preferred)
  • Motion control and servo systems
  • HMI development for industrial equipment
  • Commissioning, diagnostics, and troubleshooting
  • Modular software design and system standardization
- Preferred Qualifications
  • Experience with B&R Automation Studio for industrial control system development
  • Completion of B&R Automation Academy training (Automation Studio, mapp Technology, Motion, HMI, or Safety) preferred
  • Experience supporting high‑speed web‑handling or continuous‑process equipment, such as HP Industrial PageWide Web Presses or similar platforms
Cross‑Organization Skills
  • Effective communication across technical and non‑technical stakeholders
  • Results orientation and strong ownership mindset
  • Learning agility and adaptability
  • Digital fluency and systems thinking
  • Customer‑centric approach to solution development
Impact & Scope
  • Directly influences equipment uptime, print quality, and production throughput
  • Drives control system standardization across platforms
  • Reduces operational risk and lifecycle cost through reusable architectures
  • Supports long‑term platform scalability and reliability
Complexity
  • Works on complex, real‑time, multi‑domain control systems
  • Balances software, motion, safety, and hardware constraints
  • Requires judgment in selecting configuration‑based solutions versus custom extensions
  • Solves non‑routine problems encountered during commissioning and field operation
Compensation and Benefits

The pay range for this role is$ 105,050.00 - 152,350.00 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’sEEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal”

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