The Senior Machine Learning Engineer will focus on developing and optimizing machine learning models to enhance patient care and operational efficiency within healthcare systems. Responsibilities ...
The Senior Machine Learning Engineer will focus on developing and optimizing machine learning models to enhance patient care and operational efficiency within healthcare systems. Responsibilities ...
Machine Learning Engineer [w2 role] Location: Philadelphia, PA (Onsite - 4 days/week at 1800 Arch Street) Alternate location: Reston, VA (for strong candidates) Duration: Contract Eligibility: USC ...
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Machine Learning Engineer [w2 role] Location: Philadelphia, PA (Onsite - 4 days/week at 1800 Arch Street) Alternate location: Reston, VA (for strong candidates) Duration: Contract Eligibility: USC ...
Senior Machine Learning Engineer
Malvern, PA · On-site
$102K - $140K/yr
This role partners closely with quantitative researchers, data scientists, and investment teams to engineer, deploy, and operate production-grade machine learning models that drive research ...
Senior Machine Learning Engineer
Malvern, PA · On-site
$102K - $140K/yr
This role partners closely with quantitative researchers, data scientists, and investment teams to engineer, deploy, and operate production-grade machine learning models that drive research ...
$112K - $135K/yr
RISE AI/ML Engineers use their skills in machine learning, deep learning, AI, big data and software ... biomedical data, or other applied research settings is desirable. * Experience operating ...
New
$112K - $135K/yr
RISE AI/ML Engineers use their skills in machine learning, deep learning, AI, big data and software ... biomedical data, or other applied research settings is desirable. * Experience operating ...
New
Machine Learning Systems Engineer
Pittsburgh, PA · On-site +1
We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier ...
Machine Learning Systems Engineer
Pittsburgh, PA · On-site +1
We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier ...
Senior Machine Learning Engineer
Malvern, PA · On-site
$102K - $140K/yr
Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
Senior Machine Learning Engineer
Malvern, PA · On-site
$102K - $140K/yr
Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD ... Collaborate with researchers, developers, and traders to improve existing models and explore new ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD ... Collaborate with researchers, developers, and traders to improve existing models and explore new ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD ... Collaborate with researchers, developers, and traders to improve existing models and explore new ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD ... Collaborate with researchers, developers, and traders to improve existing models and explore new ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD ... Collaborate with researchers, developers, and traders to improve existing models and explore new ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD ... Collaborate with researchers, developers, and traders to improve existing models and explore new ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD ... Collaborate with researchers, developers, and traders to improve existing models and explore new ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD ... Collaborate with researchers, developers, and traders to improve existing models and explore new ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Machine Learning Biomedical Engineer information
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.
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 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.
What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?
| Aspect | Machine Learning Biomedical Engineer | Data Scientist in Biomedical Industry |
|---|---|---|
| Required Credentials | Degree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical data | Degree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning |
| Work Environment | Research labs, healthcare institutions, biotech companies | Healthcare analytics firms, research institutions, biotech companies |
| Employer & Industry Usage | Develops algorithms for medical devices, diagnostics, and treatment planning | Analyzes 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 are popular job titles related to Machine Learning Biomedical Engineer jobs in Pennsylvania?
For Machine Learning Biomedical Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Pennsylvania look for?
The top searched job categories for Machine Learning Biomedical Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Machine Learning Biomedical Engineer jobs?
Cities in Pennsylvania with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Engineer III
Pittsburgh, PA • On-site
TeleTracking
• IT Services • 201 - 500 employees201 - 500 employees
Full-time
Re-posted 12 days ago
Job description
Job Summary:
TeleTracking is dedicated to improving healthcare through groundbreaking technology and deep clinical expertise. The Senior Machine Learning Engineer will focus on developing and optimizing machine learning models to enhance patient care and operational efficiency within healthcare systems.
Responsibilities:
• Design, develop, and implement machine learning and deep learning models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes.
• Build and optimize data ingestion and modeling pipelines as needed
• Utilize domain driven techniques and design patterns to build and contribute to technical design.
• Collaborate with cross-functional teams including data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions.
• Work with large-scale healthcare and hospital datasets including structured data (EHRs, hospital operational data), unstructured data (clinical notes, imaging).
• Ensure data privacy and security, adhering to healthcare regulations such as HIPAA and GDPR, especially when working with sensitive hospital data.
• Mentor junior engineers and data scientists, providing guidance on machine learning techniques, particularly those relevant to hospitals and healthcare systems.
• Monitor, troubleshoot, and enhance the performance of deployed models using MLOps best practices, ensuring they operate effectively in hospital environments.
• Write technical architectural and design documents.
Qualifications:
Required:
• Proven experience in end-to-end design and deployment of machine learning models from ideation to production in healthcare or similar settings.
• Strong programming skills and experience with object or component-oriented development software, one or more of: Python or R, with proficiency in ML frameworks, one or more of: TensorFlow, PyTorch, or Scikit-learn.
• Expertise in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare and hospital environments.
• Deep knowledge of a scripting or statistical programming language (Python preferred). Ability to efficiently work with very large datasets and deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
• Assess model performance; train multiple models; carry out tuning. Run A/B tests on models.
• Comfortable writing complex SQL queries and developing python packages.
• Experience with cloud-based management and hosting, one or more of: AWS, Azure, GCS, CloudFormation, Terraform, or Ansible. Interest in developing services as well as the underlying infrastructure.
• Experience with database management system software, one or more of: Oracle, MSSQL, MongoDB, MySQL, DynamoDB, or PostgreSQL.
• Experience with Version Control Software, one or more of: git, Mercurial, CVS, TFS, or Subversion.
• Strong understanding and experience executing several software development methodologies and life cycles. Ability to understand and translate business requirements into technical specifications.
• Experience with agile development practices.
• Excellent written and oral communication skills. Adept and presenting complex topics, influencing, and executing with timely / actionable follow-through.
• Strong analytical and problem-solving skills with the ability to convert information into practical training deliverables. Uses rigorous logic and methods to solve difficult problems.
• Knowledge of clinical workflows and hospital operations, and how technology can enhance efficiency and patient care.
• Familiarity with healthcare-specific machine learning challenges, such as data imbalance, longitudinal data, and real-time processing in hospital environments.
• Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.
• Bachelor's degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 7 or more years of experience.
Preferred:
• Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience.
Company:
TeleTracking Passionate About Optimizing Hospital Operations & PatientFlow. Founded in 1991, the company is headquartered in Pittsburgh, USA, with a team of 201-500 employees. The company is currently Growth Stage.
TeleTracking is dedicated to improving healthcare through groundbreaking technology and deep clinical expertise. The Senior Machine Learning Engineer will focus on developing and optimizing machine learning models to enhance patient care and operational efficiency within healthcare systems.
Responsibilities:
• Design, develop, and implement machine learning and deep learning models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes.
• Build and optimize data ingestion and modeling pipelines as needed
• Utilize domain driven techniques and design patterns to build and contribute to technical design.
• Collaborate with cross-functional teams including data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions.
• Work with large-scale healthcare and hospital datasets including structured data (EHRs, hospital operational data), unstructured data (clinical notes, imaging).
• Ensure data privacy and security, adhering to healthcare regulations such as HIPAA and GDPR, especially when working with sensitive hospital data.
• Mentor junior engineers and data scientists, providing guidance on machine learning techniques, particularly those relevant to hospitals and healthcare systems.
• Monitor, troubleshoot, and enhance the performance of deployed models using MLOps best practices, ensuring they operate effectively in hospital environments.
• Write technical architectural and design documents.
Qualifications:
Required:
• Proven experience in end-to-end design and deployment of machine learning models from ideation to production in healthcare or similar settings.
• Strong programming skills and experience with object or component-oriented development software, one or more of: Python or R, with proficiency in ML frameworks, one or more of: TensorFlow, PyTorch, or Scikit-learn.
• Expertise in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare and hospital environments.
• Deep knowledge of a scripting or statistical programming language (Python preferred). Ability to efficiently work with very large datasets and deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
• Assess model performance; train multiple models; carry out tuning. Run A/B tests on models.
• Comfortable writing complex SQL queries and developing python packages.
• Experience with cloud-based management and hosting, one or more of: AWS, Azure, GCS, CloudFormation, Terraform, or Ansible. Interest in developing services as well as the underlying infrastructure.
• Experience with database management system software, one or more of: Oracle, MSSQL, MongoDB, MySQL, DynamoDB, or PostgreSQL.
• Experience with Version Control Software, one or more of: git, Mercurial, CVS, TFS, or Subversion.
• Strong understanding and experience executing several software development methodologies and life cycles. Ability to understand and translate business requirements into technical specifications.
• Experience with agile development practices.
• Excellent written and oral communication skills. Adept and presenting complex topics, influencing, and executing with timely / actionable follow-through.
• Strong analytical and problem-solving skills with the ability to convert information into practical training deliverables. Uses rigorous logic and methods to solve difficult problems.
• Knowledge of clinical workflows and hospital operations, and how technology can enhance efficiency and patient care.
• Familiarity with healthcare-specific machine learning challenges, such as data imbalance, longitudinal data, and real-time processing in hospital environments.
• Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.
• Bachelor's degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 7 or more years of experience.
Preferred:
• Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience.
Company:
TeleTracking Passionate About Optimizing Hospital Operations & PatientFlow. Founded in 1991, the company is headquartered in Pittsburgh, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About TeleTracking
Sourced by ZipRecruiter
Industry
It services
Company size
201 - 500 Employees
Headquarters location
Pittsburgh, PA, US
Year founded
1991