1

Machine Learning Engineer Biotech Jobs in Portland, OR

Drive Innovation as our Next Data Engineer / Scientist (Predictive Analytics)! Ready to make a ... In this role, you will be at the forefront of developing predictive machine learning models ...

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

... machine learning models and large language models. • Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

... machine learning models and large language models. • Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110.80K - $152.20K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155.70K - $181.90K/yr

Proficient in DSP theory, scientific programming, adaptive filtering, machine learning, GMM, clustering and neural networks. Strong commitment to quality using algorithm performance evaluation ...

... machine learning solutions that have a direct impact on the business; help design and build ... a engineer-related occupation. Position requires: • Software Development • Testing ...

AI Data Engineer Senior Consultant

Portland, OR · On-site +1

$112.40K - $152.70K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

AI Data Engineer Manager

Portland, OR

$121.40K - $145.80K/yr

AI Data Engineer Manager Position Summary Our Human Capital practice is at the forefront of ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

AI Data Engineer - Manager

Portland, OR

$121.40K - $145.80K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110.80K - $152.20K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... machine learning applications. Responsibilities : • Work with clients to design, develop, and ...

New

AI Data Engineer Senior Consultant

Portland, OR · On-site

$121.40K - $145.80K/yr

They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and ... machine learning training and real-time inference, including online and offline consistency ...

New

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 ...

next page

Showing results 1-20

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 May 29, 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 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.

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 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.

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:
AI & Machine Learning Developer

AI & Machine Learning Developer

Johnson Health Tech Companies

Vancouver, WA • On-site

$99K - $119K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 19 days ago


Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

120th of 415 rated machine equipment manufacturers


Job description

Description:


Position Overview:

Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer – Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech’s mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.


Responsibilities:

· Research, design, and implement AI/ML solutions for mobile fitness applications.

· Develop and fine-tune LLMs for natural language interactions and personalization.

· Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).

· Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.

· Collaborate with Android developers to integrate AI features into client-side applications.

· Create prototypes and proof-of-concepts for new AI-driven features.

· Stay current with emerging AI/ML technologies and best practices.

· Ensure compliance with data privacy and security standards.

Requirements:


Education:

· Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.


Experience:

· 3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.

· Hands-on experience with AWS services for AI/ML deployment.

· Proficiency in Python and ML frameworks (TensorFlow, PyTorch).

· Experience with RESTful APIs and microservices architecture.


Benefits:

We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:

· Health & Dental Insurance

· Company paid Life Insurance

· 401(k)

· Paid Time Off benefits

· Product discounts

· Wellness programs



Equal Opportunity Employer, including Veterans and Individuals with Disabilities