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Machine Learning Engineer Biotech Jobs in Boise, ID

Micron Technology

Sr Engineer, Photo DRAM

Boise, ID · On-site

$99K - $136K/yr

As a Senior Engineer in Photolithography Process Development, you will play a key role in ... Apply data analytics and machine learning techniques to identify root causes, optimize process ...

Micron

New College Grad - EDA/CAD Engineer

Boise, ID · On-site

$64K - $159K/yr

We are seeking an EDA/CAD Engineer with hands-on experience in AI, Machine Learning (ML), LLMs, or advanced automation. In this role, you will apply expertise in IC design, layout, verification ...

Micron

New College Grad - EDA/CAD Engineer

Boise, ID · On-site

$64K - $159K/yr

We are seeking an EDA/CAD Engineer with hands-on experience in AI, Machine Learning (ML), LLMs, or advanced automation. In this role, you will apply expertise in IC design, layout, verification ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

$100 - $130/hr

Model Development & Feature Engineering: Develop predictive models using machine learning techniques (regression, classification, clustering) to optimize manufacturing processes and improve product ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and ...

Micron

Sr Data Scientist

Boise, ID · On-site

Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and ...

Micron

Senior Engineer, Technology - AMAIS

Boise, ID · On-site

$99K - $136K/yr

Work in a multi-functional team of modeling engineers and AI experts highly skilled in modeling of ... Position requires: 1. Thermal modeling 2. Computer vision 3. Machine learning and deep learning ...

1000 Micron Technology, Inc.

Sr Data Scientist

Boise, ID · On-site

$90 - $120/hr

Model Development & Feature Engineering: Develop predictive models using machine learning techniques (regression, classification, clustering) to optimize manufacturing processes and improve product ...

New

Micron

RAM RDA Process Engineer HVM

Boise, ID · On-site

Experience using AI-enabled tools, machine learning, automation platforms, or data analytics to improve engineering decisions and productivity As a world leader in the semiconductor industry, Micron ...

Meta

Lead Building Engineer

Kuna, ID

$104K/yr

As a Lead Building Engineer, you will provide senior-level technical leadership across mechanical ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Micron Technology

AMHS Robotics Engineer

Boise, ID · On-site

As an AMHS Robotics Engineer, you will have the outstanding chance to create, deploy, and improve ... Experience applying AI, advanced analytics, or machine learning methods to equipment performance ...

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Showing results 41-60

All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Boise, ID

Machine Learning Engineer Biotech information

See Boise, ID salary details

$30K

$122.6K

$184.2K

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

As of Aug 13, 2026, the average yearly pay for machine learning engineer biotech in Boise, ID is $122,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $147,500.00 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 Boise, ID?

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

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

The top searched job categories for Machine Learning Engineer Biotech jobs in Boise, ID are:

Machine Learning Engineer Biotech jobs near you

Sr Engineer, Photo DRAM

Micron Technology

Boise, ID • On-site

$99K - $136K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago

Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 157 rated electronics manufacturers

Job description

Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Join Micron's Advanced DRAM Research & Development Photolithography team and help shape the technologies that power next-generation memory solutions. We are developing innovative lithography processes that enable future device architectures and manufacturing breakthroughs. Working alongside experts across Process Integration, Wet Etch, CVD, Diffusion, Metals, Dry Etch, and CMP, you will contribute to technology advancements that drive performance, scalability, and yield.
As a Senior Engineer in Photolithography Process Development, you will play a key role in developing and optimizing advanced lithography processes for future DRAM technologies. This position offers the opportunity to lead critical process development efforts, collaborate with equipment and material suppliers, and apply data-driven approaches to solve complex technical challenges. You will have significant ownership of process roadmaps while contributing to innovative solutions that support Micron's technology goals!
Responsibilities:
  • Lead development of manufacturing-friendly photolithography processes for next-generation memory technologies using 365nm, 248nm, and 193nm immersion lithography
  • Collaborate with equipment and material suppliers to identify and implement solutions to complex process challenges
  • Develop new design, layout, and lithography methodologies that enable future memory device architectures
  • Apply data analytics and machine learning techniques to identify root causes, optimize process performance, and improve yield
  • Document and communicate project plans, technical results, and innovation opportunities, including intellectual property disclosures

Minimum Qualifications:
  • Master's or PhD degree in Engineering, Materials Science, Physics, Chemistry, or a related technical field, OR Bachelor's degree with5+ years of Photolithography industry experience
  • Understanding of optics, including immersion lithography, polarized illumination, and low-k1 imaging
  • Knowledge of lithography materials, chemistry, and processes related to 365nm, 248nm, and 193nm lithography technologies
  • Strong written, verbal, and presentation communication skills
  • Experience using AI tools to automate workflows and improve engineering productivity

Preferred Qualifications:
  • Research and development experience with a demonstrated ability to develop manufacturing-friendly semiconductor technologies
  • Academic or industry experience in photolithography and semiconductor manufacturing
  • Experience with photolithography simulation software and lithography characterization techniques
  • Data science, programming, or machine learning experience applied to semiconductor process development
  • Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, and yield improvement initiatives.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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