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Machine Learning Engineer Biotech Jobs in Portland, OR

Workday

Sr Software Development Engineer

Beaverton, OR · On-site

$177K - $234K/yr

We are the Machine Learning Product team at Workday. Our focus is on the application of machine ... Using current programming language and technologies, writes code, completes programming, and ...

Pwc

US Tech - AI Engineering Manager

Portland, OR

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Futran Tech Solutions Pvt. Ltd.

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data ...

Aerotek

Machine Operator

Happy Valley, OR

$18 - $21.25/hr

Machine Operator Join a highly automated, state-of-the-art manufacturing team where you will help ... Engineering. You will have access to tuition reimbursement, online learning through LinkedIn ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Five (5) years of experience in Data Science / Machine Learning * Strong programming skills in Python * Proven experience with: * Time-series analysis and anomaly detection * Statistical modeling and ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Portland, OR

Machine Learning Engineer Biotech information

See Portland, OR salary details

$33.4K

$136.6K

$205.2K

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

As of Jul 10, 2026, the average yearly pay for machine learning engineer biotech in Portland, OR is $136,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $164,400.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do in the biotech industry?

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, and why are they important?

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 Portland, OR? For Machine Learning Engineer Biotech jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Portland, OR look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Portland, OR are:
What cities near Portland, OR are hiring for Machine Learning Engineer Biotech jobs? Cities near Portland, OR with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer Biotech jobs near you
Senior Middleware Development Engineer

Senior Middleware Development Engineer

Intel Corporation

Hillsboro, OR • On-site

$128K - $245K/yr

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

10th of 141 rated electronics manufacturers

Job description

Job Details:
Job Description:
Build the Future of High-Performance Computing
Join Intel's Communication Runtimes team and develop cutting-edge software that powers the world's most advanced supercomputers and AI systems. Work on communication libraries that enable breakthrough scientific discoveries and machine learning innovations at unprecedented scale.
What You'll Create - Next-Generation Communication Libraries
  • Design, develop, and maintain features and optimizations primarily focused on Intel SHMEM (Shared Memory Access) with potential to contribute to Intel MPI (Message Passing Interface), MPICH, and Intel oneCCL (Collective Communications Library)
  • Optimize software for exceptional performance: low latency, high bandwidth, and maximum reliability
  • Build expertise with cutting-edge Intel GPUs and CPUs powering today's data centers

Revolutionary Impact
  • Collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs
  • Make meaningful contributions that advance scientific computing and machine learning capabilities
  • Work across multiple levels of the communications stack to solve complex distributed computing challenges

Cross-Functional Excellence
  • Partner with cross-functional teams to define software requirements and technical specifications
  • Drive performance optimizations that push the boundaries of what's possible in high-performance computing
  • Contribute to software that enables breakthrough research in climate modeling, drug discovery, and AI

Essential Skills
  • Self-driven with high motivation to learn emerging technologies
  • Outstanding analytical and problem-solving abilities
  • Excellent communication skills for technical collaboration
  • Passion for making meaningful impact in scientific computing

Qualifications:
Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or STEM-related field and 3+ years of relevant industry, internship, or research experience
  • 3+ years of C and C++ programming experience
  • 3+ years of Linux development experience
  • Experience with multithreaded programming
  • Experience in one or more of the following:
    • Distributed computing systems
    • HPC (High-Performance Computing) communications libraries
    • Collective communications libraries (i.e., MPI, oneCCL/NCCL, SHMEM)
    • GPU software development
    • Network communications stack development

Preferred Qualifications
  • Post-graduate degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or STEM field
  • Performance Optimization: Experience developing optimizations that improve communications latency or throughput
  • Advanced Debugging: Experience troubleshooting complex issues across multiple hardware and software stack layers

Why This Role Matters
  • Scientific Impact: Your code will enable groundbreaking research and discoveries
  • AI Revolution: Power the next generation of machine learning and AI systems

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, Texas, Austin
Business group:
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $128,880.00-245,160.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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