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Machine Learning Engineer Biotech Jobs in Albuquerque, NM

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Automation Controls Engineer II

Albuquerque, NM · On-site

$80K - $107K/yr

... biotech companies to provide life-saving treatments to patients. At Curia, we are on a mission to ... Learning platform * And more! Summary: The Automation Controls Engineer II is responsible for ...

... biotech companies to provide life-saving treatments to patients. At Curia, we are on a mission to ... Learning platform * And more! Summary: The Automation Controls Engineer II is responsible for ...

Showing results 21-40

Machine Learning Engineer Biotech information

See Albuquerque, NM salary details

$30.5K

$124.8K

$187.6K

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

As of Aug 12, 2026, the average yearly pay for machine learning engineer biotech in Albuquerque, NM is $124,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,200.00 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 Albuquerque, NM? For Machine Learning Engineer Biotech jobs in Albuquerque, NM, the most frequently searched job titles are:
Infographic showing various Machine Learning Engineer Biotech job openings in Albuquerque, NM as of August 2026, with employment types broken down into 8% Internship, and 92% Full Time. Highlights an 68% In-person, 16% Hybrid, and 16% Remote job distribution, with an average salary of $124,819 per year, or $60 per hour.

Advanced Packaging Quality and Reliability Engineer

Intel Corporation

Albuquerque, NM • On-site

$89.01 - $146.44/hr

Other

Medical, Retirement, PTO

Posted 7 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 157 rated electronics manufacturers


Job description

## Advanced Packaging Quality and Reliability EngineerApplylocations: US, New Mexico, Albuquerquetime type: Full timeposted on: Posted Todayjob requisition id: JR0286145# **Job Details:**## Job Description:**About Intel's Manufacturing Team**You will be part of Intel's New Mexico Manufacturing team, which drives innovation and ensures the sustainable production of high-quality products that meet customer needs. This group focuses on optimizing manufacturing processes, enhancing product reliability, and supporting Intel's broader goals of operational excellence and industry leadership.**Position Overview**As a Manufacturing Quality and Reliability Engineer in New Mexico, you will play a critical role in ensuring the quality and reliability of Intel's products and processes during manufacturing ramps to high-volume production. On a day-to-day basis, you will specify inspection and testing mechanisms, conduct quality assessments and audits, evaluate materials and techniques used in production, and drive continuous process improvement initiatives to uphold quality standards. Your contributions will directly impact Intel's manufacturing efficiency, product performance, and customer satisfaction.**Key Responsibilities*** Qualify manufacturing ramps to high-volume production while ensuring compliance with quality and reliability standards* Specify inspection mechanisms and testing protocols to maintain product and process integrity* Conduct quality assessments, audits, and risk evaluations to proactively address discrepancies* Develop systems for early detection and containment of manufacturing excursions* Collaborate with cross-functional teams to implement continuous improvement programs and foster a quality-focused culture* Drive supplier audit processes and recommend improvements for supplier performance and product reliability* Extract insights from structured and unstructured data using statistical techniques and machine learning to optimize production output* Manage manufacturing-related issues reported by customers, providing engineering solutions to enhance customer experience**To Be Successful in This Role, You Should Demonstrate the Following Professional Traits*** A proactive approach to identifying and resolving quality challenges before they escalate* Strong collaboration skills with the ability to work effectively across cross-functional teams* Clear and confident communication when representing quality functions in engineering forums and leadership discussions## ## **Qualifications:**You must possess the minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional 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 a specialized field such as Engineering, Science, or a related discipline with 1+ year experience or Master's degree and 0+ years' experience* Knowledge of manufacturing processes, semiconductor fabrication, and quality assessment methodologies* Familiarity with excursion management, reliability fundamentals, or problem-solving techniques* Experience analyzing data using statistical tools and machine learning to inform decision-making**Preferred Qualifications*** Master's degree in Engineering, Science, or a related field with 2 years of relevant experience, or a PhD with no years of required experience* Ability to write automation scripts to improve efficiency of data extraction and analysis* Proven ability to collaborate across cross-functional teams and represent quality functions in engineering forums* Strong communication and leadership skills, with a proactive approach to driving process optimization* Demonstrated ability to manage change control processes and drive continuous improvement programs## Job Type:College Grad## Shift:Shift 1 (United States of America)## Primary Location:US, New Mexico, Albuquerque## Additional Locations:## 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 TrustN/A## BenefitsWe 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: $89,010.00-146,440.00 USDThe 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 require an on-site presence. \* Job posting details (such as work model, location or time type) are subject to change. #J-18808-Ljbffr

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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