Design, develop, and implement machine learning and deep learning models to address hospital ... Build and optimize data ingestion and modeling pipelines as needed * Utilize domain driven ...
Design, develop, and implement machine learning and deep learning models to address hospital ... Build and optimize data ingestion and modeling pipelines as needed * Utilize domain driven ...
Machine Learning Engineer, Reinforcement Learning
Pittsburgh, PA · On-site
$100K - $300K/yr
We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with ...
Machine Learning Engineer, Reinforcement Learning
Pittsburgh, PA · On-site
$100K - $300K/yr
We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with ...
Staff AI Engineer, Perception
$207K - $323K/yr
The Perception team is looking for a staff machine learning engineer to own the design and ... Experience with MLOps such as (but not limited to) data annotation services, data storage, model ...
Quick apply
Staff AI Engineer, Perception
$207K - $323K/yr
The Perception team is looking for a staff machine learning engineer to own the design and ... Experience with MLOps such as (but not limited to) data annotation services, data storage, model ...
... data, completely digitizing workflows that have historically been manual and error-prone. This ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...
Quick apply
... data, completely digitizing workflows that have historically been manual and error-prone. This ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...
Director of Machine Learning
Pittsburgh, PA · On-site +1
... data, completely digitizing workflows that have historically been manual and error-prone. This ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...
Director of Machine Learning
Pittsburgh, PA · On-site +1
... data, completely digitizing workflows that have historically been manual and error-prone. This ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...
As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of ... Hands-on experience applying deep learning on time series data * Strong foundation in mathematics ...
As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of ... Hands-on experience applying deep learning on time series data * Strong foundation in mathematics ...
Senior Machine Learning Engineer, Data Mining
Pittsburgh, PA · On-site +1
$118K - $156K/yr
As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and ...
Quick apply
Senior Machine Learning Engineer, Data Mining
Pittsburgh, PA · On-site +1
$118K - $156K/yr
As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and ...
This role involves working across the stack-from data processing and training efficiency to low ... As a Machine Learning Engineer, you'll play a critical role in shaping the future of AI at ...
This role involves working across the stack-from data processing and training efficiency to low ... As a Machine Learning Engineer, you'll play a critical role in shaping the future of AI at ...
Senior Machine Learning Engineer, Data Mining
Pittsburgh, PA · On-site
$118K - $156K/yr
As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and ...
Senior Machine Learning Engineer, Data Mining
Pittsburgh, PA · On-site
$118K - $156K/yr
As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Full Time Machine Learning Data Annotation information
What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?
To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.
What are Full Time Machine Learning Data Annotation jobs?
Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.
What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?
Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.
What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?
| Aspect | Full Time Machine Learning Data Annotation | Data Labeling Specialist |
|---|---|---|
| Credentials | High school diploma or equivalent; some roles prefer technical certifications | High school diploma or equivalent; training often provided on the job |
| Work Environment | Office or remote; collaborative with data science teams | Remote or office; focused on labeling tasks |
| Industry Usage | Used across AI/ML companies, tech firms, and startups | Common in AI/ML, data services, and outsourcing companies |
| Job Focus | Creating labeled datasets for machine learning models | Annotating data such as images, videos, or text for AI training |
Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.
What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Pennsylvania? For Full Time Machine Learning Data Annotation jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Pennsylvania look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Full Time Machine Learning Data Annotation jobs? Cities in Pennsylvania with the most Full Time Machine Learning Data Annotation job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 3 days ago
Job description
About us
TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it's a promise to continually improve healthcare.
TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation's largest healthcare systems and around the world to positively impact patients, families and communities.
What's your contribution to the TeleTracking story?
When you chose to bring your passion and skills to helping achieve our purpose, you'll be part of a team that understands that there's a human life behind every data point. Your skills, curiosity, and compassion-will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare.
About the role
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team at TeleTracking Technologies, focusing on improving patient care. The ideal candidate will have a strong background in developing, deploying, and optimizing machine learning models, as well as expertise in data ingestion and modeling techniques. This role requires a deep understanding of hospital operations, healthcare data, clinical workflows, and regulatory requirements (such as HIPAA or GDPR). The successful candidate will be passionate about leveraging advanced technologies to enhance patient care and operational efficiency.
What you will do
What we look for
Education
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
Benefits
Disclaimer:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions. The term "qualified individual with a disability" means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position.
TeleTracking is an Equal Opportunity/Affirmative Action employer. TeleTracking recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, veteran status, physical or mental disability, genetic information, sexual orientation or preference, gender identity, marital status, or citizenship status.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it's a promise to continually improve healthcare.
TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation's largest healthcare systems and around the world to positively impact patients, families and communities.
What's your contribution to the TeleTracking story?
When you chose to bring your passion and skills to helping achieve our purpose, you'll be part of a team that understands that there's a human life behind every data point. Your skills, curiosity, and compassion-will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare.
About the role
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team at TeleTracking Technologies, focusing on improving patient care. The ideal candidate will have a strong background in developing, deploying, and optimizing machine learning models, as well as expertise in data ingestion and modeling techniques. This role requires a deep understanding of hospital operations, healthcare data, clinical workflows, and regulatory requirements (such as HIPAA or GDPR). The successful candidate will be passionate about leveraging advanced technologies to enhance patient care and operational efficiency.
What you will do
- 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.
What we look for
- 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.
Education
- Bachelor's degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 7 or more years of experience.
- Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience. (preferred)
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
Benefits
- Employee Medical/dental/vision premiums paid 100% - family members without coverage Medical 100% - small cost for dependents on dental and vision, which start from day one!
- Life and AD&D
- Flexible Spending Accounts: Medical, Dependent Care, and Transportation
- 401 (k) Retirement Savings
- Tuition Reimbursement
- Military Paid Leave (up to 6 months of base salary while on military leave)
- Paid Time Off
- Paid parental leave
Disclaimer:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions. The term "qualified individual with a disability" means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position.
TeleTracking is an Equal Opportunity/Affirmative Action employer. TeleTracking recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, veteran status, physical or mental disability, genetic information, sexual orientation or preference, gender identity, marital status, or citizenship status.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
About TeleTracking
Sourced by ZipRecruiter
Industry
It services
Company size
201 - 500 Employees
Headquarters location
Pittsburgh, PA, US
Year founded
1991