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Machine Learning Engineer Biotech Jobs in Riverside, CA

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

The MLOps Engineer will design and maintain infrastructure for machine learning systems, collaborating closely with engineering teams to ensure effective deployment and monitoring of ML models.

Lead AI Engineer

Irvine, CA

$110K - $144K/yr

Description The Lead AI Engineer will be responsible for defining and driving the AI strategy ... Design, develop, and deploy advanced AI models and algorithms, including machine learning, deep ...

Showing results 41-60

Machine Learning Engineer Biotech information

See Riverside, CA salary details

$32.9K

$134.3K

$201.9K

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

As of Aug 7, 2026, the average yearly pay for machine learning engineer biotech in Riverside, CA is $134,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $161,700.00 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 Riverside, CA? For Machine Learning Engineer Biotech jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Riverside, CA look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Machine Learning Engineer Biotech jobs? Cities near Riverside, CA with the most Machine Learning Engineer Biotech job openings:
Infographic showing various Machine Learning Engineer Biotech job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,341 per year, or $64.6 per hour.

Scientist, Staff (Machine Learning & Simulations)

ENCHANNEL MEDICAL LTD

Irvine, CA

$123K - $158K/yr

Full-time

Re-posted 16 days ago


Job description

Position Title: Scientist, Staff

Department: Algorithm

Reports to: Algorithm, Senior Manager

At Enchannel Medical, we’re redefining the boundaries of electrophysiology with our next-generation DePolar™ mapping system and integrated NanoAblate™ PFA platform. Driven by our global mission to enhance the quality-of-life of heart rhythm patients, our discerning technology, paired with our passion for innovation, leads to enduring outcomes.

Position Overview

This Scientist, Staff (Machine Learning & Simulations), will be a key contributor to our algorithm team, working on innovating and developing new research and product features for our cardiac electrophysiology mapping system. They will be responsible for designing, developing, testing, and improving cardiac simulations used for treating cardiac arrhythmia and collaborating closely with a multidisciplinary team to support system integration and product feature advancements. They will have an opportunity to design and build end-to-end solutions.

Duties and Responsibilities

The following are the major responsibilities needed for the role. Additional responsibilities, tasks, and duties will be assigned and required as needed.

  • Develop biophysics-based simulations to predict optimal ablation sites.
  • Optimize the simulation compute resources using statistical, machine learning (ML), and optimization techniques to provide real-time feedback.
  • Analyze and interpret complex cardiac signals.
  • Develop innovative simulation solutions and collaborate with cross-functional teams to integrate simulation outcomes into the software stack.
  • Collaborate with the software engineering team to implement algorithms and ML solutions into computationally efficient, “real-time” operations.
  • Evaluation, adoption, and refinement of prototype algorithms developed by our engineers, scientists, and consultants.
  • Maintain, update, and document design requirements throughout the entire system life cycle.
  • May be required to actively contribute to regulatory filings, patent applications and other industry related publications.
  • Responsible for compliance with quality system procedures and all regulatory requirements.
  • Consistently promote collaboration, positivity, accountability, and resourcefulness.
  • Must demonstrate mutual respect, ongoing communication, and a positive outlook with both internal team members and customers.

Education, Experience and Skills Required

Below are the minimum skills, formal education, certifications or training, and practical experience required to perform the general functions and duties of the role.

  • 5+ years of related experience and a Bachelor’s and/or Master’s degree, and/or PhD in a scientific/engineering discipline; or equivalent combination of education and experience.
  • Must demonstrate expertise in cardiac electrophysiology, with a strong foundation in applying this knowledge to practical applications.
  • Hand-ON experience working with cardiac simulation tools.
  • Experience with the use of ML in cardiac anatomy and electrophysiology, ECG, unipolar/bipolar electrogram.
  • Strong programming skills in languages such as Python, C++, and MATLAB.
  • Experience with ML libraries such as OpenCV, TensorFlow, and PyTorch.
  • Broad understanding of machine learning, deep learning, and statistical techniques.
  • Strong problem-solving abilities, with the capacity to develop innovative solutions for complex technical challenges.
  • Excellent collaboration skills to work effectively across multidisciplinary teams, including hardware, software, quality, and regulatory groups.
  • Time management and organizational skills to prioritize workload efficiently in a fast-paced startup environment.
  • Exceptional verbal and written communication skills, including the ability to explain highly technical concepts to non-technical audiences.
  • A results-driven mindset, with the ability to adapt quickly to changing project requirements and deliverables.
  • Must be able to understand job duties and responsibilities, have the necessary skills/knowledge and be willing and able to continue learning and growing within the field.
  • Must be skilled at managing a significant workload and obtaining positive results, taking on additional responsibility and managing priorities as needed.
  • Must be accurate, detailed, committed to high quality standards and pro-active in finding solutions to achieve successful outcomes.
  • Strong verbal and written communication skills with the ability to produce accurate, punctual reports/information, as required and thoroughly share information with others. Must be able to read, write and speak effectively.
  • Exceptional listening skills with the ability to seek constructive feedback, build relationships, promote teamwork, and remain flexible and open-minded. Able to quickly adapt to change.
  • Capable of following realistic plans, goal setting, resource management, contingency planning, coordinating, and cooperating with others.
  • Capable of working thoughtfully under pressure and in a timely manner.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum new hire pay for the position located in California. Within the range, individual pay is determined by location, additional factors, including job-related skills, experience, and relevant education or training.

EnChannel Medical is an E-Verify and equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any basis covered under acceptable law.

Only qualified candidates will be contacted.