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Machine Learning Biomedical Engineer Jobs in Sunnyvale, CA

The role involves designing, building, and deploying machine learning solutions while collaborating with a team of software engineers and researchers to tackle significant security challenges.

Machine Learning Engineer

San Francisco, CA ยท On-site

$130 - $180/hr

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML Platform team builds intelligent systems that power recommendations, forecasting, ranking ...

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

Machine Learning Engineer

Sunnyvale, CA ยท On-site

$150.40 - $277.60/hr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...

Machine Learning Engineer

San Francisco, CA ยท On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Machine Learning Engineer

Mountain View, CA ยท On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...

Machine Learning Engineer

Fremont, CA ยท On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Machine Learning Engineer

Fremont, CA ยท On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Machine Learning Engineer

San Jose, CA ยท On-site

$200 - $290/hr

About the Role We are seeking a Machine Learning Engineer to help drive the development, optimization and deployment of Altera FPGA Compiler. In this role, you will work at the intersection of ...

Posted today

Machine Learning Engineer

San Francisco, CA ยท On-site

$200K - $280K/yr

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Showing results 21-40

Machine Learning Biomedical Engineer information

See Sunnyvale, CA salary details

$37K

$151.1K

$227.1K

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

As of Aug 10, 2026, the average yearly pay for machine learning biomedical engineer in Sunnyvale, CA is $151,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $181,900.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What does a machine learning biomedical engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

What are the key skills and qualifications needed to thrive as a machine learning biomedical engineer, and why are they important?

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a machine learning biomedical engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.
What are popular job titles related to Machine Learning Biomedical Engineer jobs in Sunnyvale, CA? For Machine Learning Biomedical Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Sunnyvale, CA look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Machine Learning Biomedical Engineer jobs? Cities near Sunnyvale, CA with the most Machine Learning Biomedical Engineer job openings:
Infographic showing various Machine Learning Biomedical Engineer job openings in Sunnyvale, 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 $151,130 per year, or $72.7 per hour.

Machine Learning Engineer

RIT Solutions, Inc.

Fremont, CA โ€ข On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying advanced machine learning solutions to support factory and warehouse operations, while collaborating with cross-functional teams to address operational challenges.
Responsibilities:
โ€ข Design, develop, and deploy machine learning models to enhance factory and warehouse operations.
โ€ข Partner with cross-functional stakeholders to identify and solve high-impact operational challenges.
โ€ข Build and maintain end-to-end machine learning pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring.
โ€ข Evaluate and benchmark machine learning models using statistical methodologies to ensure optimal performance and business value.
โ€ข Develop robust monitoring and alerting mechanisms to ensure reliability and rapid issue resolution for production models.
โ€ข Integrate and analyze heterogeneous datasets, including image data, sensor outputs, voice recordings, text, and tabular datasets.
โ€ข Write clean, scalable, and maintainable code to translate research concepts into production-ready solutions.
Qualifications:
Required:
โ€ข Strong proficiency in Python, particularly for high-performance and data-intensive applications.
โ€ข Hands-on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow.
โ€ข Expertise in one or more of the following domains: Computer Vision, Large Language Models (LLMs), Recommender Systems, Operations Research.
โ€ข Solid understanding of statistics and experimental methods for model evaluation and comparison.
โ€ข Proven experience deploying, monitoring, and maintaining machine learning solutions in production environments.
โ€ข Strong commitment to writing clean, modular, and sustainable code.
Preferred:
โ€ข Experience working within manufacturing, industrial automation, logistics, or warehouse environments.
โ€ข Familiarity with multi-modal data processing and integration techniques.
โ€ข Strong analytical and problem-solving abilities with the capacity to thrive in fast-paced and ambiguous environments.
โ€ข Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.