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At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.
Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Edge AI/ML to help build and scale intelligent systems that deliver real-time insights, automation support, and customer value at the edge of industrial environments.
The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures that AI/ML solutions are scalable, reliable, secure, and aligned with enterprise product and platform objectives.
The architect partners closely with product management, device and edge software teams, data and cloud teams, and digital solution leaders to translate business and customer requirements into robust AI/ML foundations that enable consistent behavior, efficient lifecycle management, and high-quality user experiences across industrial environments.
CORE RESPONSIBILITIES
Edge AI/ML Architecture Strategy- Define and maintain reference architectures, design patterns, and standards for deploying AI and ML models on edge devices and platforms.
- Establish common approaches for data ingestion, feature pipelines, model inference, performance optimization, and lifecycle management at the edge.
- Ensure architectural decisions support real-time operation, scalability, reliability, safety, and security.
- Drive the strategic use of AI and ML at the edge by establishing repeatable patterns for model development, deployment, monitoring, and update.
- Own a portion of the internal technology radar related to AI/ML, edge analytics, and sensing technologies.
- Foster a culture of responsible, ethical, and transparent AI practices aligned with cybersecurity, privacy, and safety requirements.
- Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
- Guide architectural decisions related to edge compute constraints, sensor integration, and real-time inference workloads.
- Promote reuse and consistency of AI/ML components across products and platforms.
- Define patterns for integration between edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms.
- Ensure solutions support online, offline, and hybrid deployment models common in industrial environments.
- Promote interoperability with internal systems and approved third-party technologies.
- Define secure-by-design and safety-aligned principles for AI/ML model deployment and operation at the edge.
- Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
- Participate in architecture and design reviews to assess risk, resilience, and compliance.
- Collaborate across product management, device and edge software, data science, cloud platforms, manufacturing, service, and mobile application teams.
- Provide technical leadership, mentorship, and guidance to engineers and teams working with AI/ML technologies.
- Serve as a technical advisor in strategic customer conversations and enterprise implementations when appropriate.
- This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.
QUALIFICATIONS
Education & Experience
- Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field required; Master's degree preferred.
- 8+ years of experience delivering AI/ML-enabled solutions, with demonstrated experience deploying models in edge or resource-constrained environments.
- Experience with industrial, connected, or safety-critical systems preferred.
Knowledge / Skill Requirements
- Strong understanding of AI/ML architectures, model lifecycle management, and real-time inference at the edge.
- Experience designing systems that balance performance, accuracy, latency, and resource constraints.
- Ability to think systemically across sensors, devices, edge platforms, mobile applications, and cloud services.
- Strong communication skills and ability to influence cross-functional stakeholders.
- Familiarity with industrial automation, IoT ecosystems, or computer vision is a plus.
Leadership & Collaboration:
- Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
- Exceptional communicator across technical and non-technical audiences.
- Committed to data-driven decision-making and delivery excellence.
Why Join Rite-Hite Digital Solutions?
As a technology leader within a globally trusted industrial brand, you will play a pivotal role in shaping how AI and machine learning are applied safely and effectively in real-world environments. Your work will help customers improve safety, productivity, and uptime through intelligent, edge-driven solutions that deliver measurable operational impact.
What We Offer
At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:
Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.
Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.
Time for You: Paid holidays, vacation time, and personal/sick days each year.
Join us and build a career where you're supported - at work and beyond.
Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.
About Us:
Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.
SUMMARY:
We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.
Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:
- Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
- Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
- Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
- Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
- Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
- Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
- Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
- Other duties as assigned
REQUIRED TECHNICAL SKILLS:
- Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Experience applying NLP techniques to unstructured text
- Hands-on experience working with LLMs, including:
- Prompt design and iteration
- Using pre-trained models for classification or extraction tasks
- Foundational understanding of model fine-tuning, such as:
- Fine-tuning transformer models or LLMs for classification or information extraction
- Adapting existing training scripts or examples to new datasets
- Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
- Experience working with labeled datasets and annotation outputs, including reviewing label quality
- Understanding of common ML problem types, including binary and multi-label classification
- Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
- Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)
OTHER SKILLS and ABILITIES:
- Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
- Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
- Familiarity with RAG architectures and retrieval-based grounding
- Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
- Introductory experience with weak supervision or noisy-label learning
- Interest in healthcare or biomedical NLP
- Curiosity about knowledge graphs, ontologies, or structured prediction
- Familiarity with secure data handling practices
- Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows
EXPERIENCE:
- Bachelor’s Degree in related field
- 1–2 years of experience in machine learning, applied NLP, or software engineering
- Demonstrated some experience training or fine-tuning ML models, not just using APIs
- Ability to collaborate with senior engineers and domain experts and incorporate feedback
BENEFITS:
- 401(k)
- Dental Insurance
- Health Insurance
- Life Insurance
- Vision Insurance
- Paid Time Off
- Free catered lunches
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Sr. Engineering Manager, AI/ML Serving Platform
The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).
Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:
- Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
- Production GenAI & LLM model inference stack for emerging use cases.
- Model routing, deployment, monitoring. Kubernetes-based provisioning.
- Feature fetching, caching, and logging
What you'll do
- Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
- Set technical direction for the team based on company and org priorities
- Coach and develop talent on the team.
What we're looking for:
- Experience managing platform engineering teams with many cross-organizational customers
- Experience leading the development of large-scale distributed serving systems
- Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
- Bachelor's degree in Computer Science, a related field or equivalent experience.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-AH2
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$208,592—$429,454 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
A postdoctoral fellowship is available at the Stanford University School of Medicine focused on implementing machine learning on population-scale clinical and biological data to characterize biological aging, resilience, and rejuvenation.
This is a unique opportunity to apply ML in unconventional and paradigm-shifting research with the potential to directly and broadly impact human lives. By joining our research group, you will:
- Have direct access to unparalleled population-scale clinical and biological data sources, along with the computational resources required to analyze these data and develop sophisticated machine learning models.
- Work in a highly collaborative environment with researchers from diverse backgrounds in medicine, biological sciences, and computer science.
- Collaborate with world-leading experts at Stanford University across the spectrum of AI, medicine, and biology.
- Be part of an environment strongly committed to translating research findings into actionable insights and scalable real-world products. We encourage (and financially support) our postdoctoral fellows to pursue extensive training in entrepreneurship and business management through Stanford’s Graduate School of Business. This position is well suited for candidates interested not only in state-of-the-art academic research, but also in exploring industrial and entrepreneurial career trajectories.
As a Stanford postdoctoral scholar, you will receive a highly competitive salary and comprehensive benefits, including best-in-class health and dental insurance. You will also receive priority consideration for Stanford housing and have access to Stanford’s broad range of professional development, learning, and growth resources.
Relevant background:
- MD or PhD, with research experience building and/or applying machine learning models during graduate studies, industry, or postdoctoral work.
- Excellent publication record.
- Interest in medicine and biology.
- Familiarity with modern AI/ML platforms and libraries (e.g., PyTorch and/or TensorFlow), traditional machine learning frameworks (e.g., scikit-learn), and statistical analysis in Python.
Preferred, but not required:
- Familiarity with electronic health record (EHR) data and cohort/outcome definition using EHRs.
- Experience in medicine and/or biology, particularly in aging-related research and omics-based analyses.
- Broad experience across diverse AI/ML concepts, including causal inference.
- Publications in leading AI/ML, biology, or medicine conferences and journals.
Keywords:
Machine Learning, Precision Medicine, Biology, Omics, Proteomics, metabolites, Electronic Health Records, Artificial Intelligence, Data Science, Deep Learning, Bioinformatics
How to Apply:
- To receive full consideration, please apply using the following google form: can be directed to
- For more information please visit:
ABOUT WILLIAMSON HEALTH | Williamson Health is a regional healthcare system based in Williamson County, Tennessee, with more than 2,300 employees across more than 30 locations and more than 860 physicians and advanced care practitioners offering exceptional healthcare across 60-plus specialties and subspecialties close to home. The flagship facility, Williamson Medical Center, which recently opened its new Boyer-Bryan West Tower, offers extensive women's services, state-of-the-art cardiology services, advanced surgical technologies, an award-winning obstetrics and NICU, leading-edge orthopaedics, outpatient imaging services, and distinct comprehensive emergency and inpatient services for both adult and pediatric patients. Other Williamson Health service providers include the Bone and Joint Institute of Tennessee, The Turner-Dugas Breast Health Center, Monroe Carell Jr. Children's Hospital Vanderbilt at Williamson Medical Center, Williamson Health physician practices that are strategically located throughout the community, countywide Emergency Medical Services that include 18 rapid response units, Williamson Health Foundation, and multiple joint venture Vanderbilt Health and Williamson Medical Center Walk-In Clinics in Williamson County. Learn more about our many specialized services at .
Williamson Health is a system where your talents will be valued and your skillset expanded. We are rooted in our promise to world-class, compassionate care for the residents of Williamson County and surrounding communities, taking exceptional pride in serving our community. We're committed to empowering our employees to work in innovative ways and reserve time and space for curiosity, laughter and creativity. We value and support the diversity and cultural differences among one another and are committed to upholding an inclusive environment that appreciates the uniqueness of all individuals. Our values are at the heart of everything we do: respect for every individual, the health and total well-being of all people, human compassion and integrity. These shape who we are as an organization and are essential for delivering the highest level of culturally competent care and treatment of every patient, family member, visitor, physician and employee.
Williamson Health is pleased to offer a comprehensive benefits program, that offers you choice and flexibility, so you can take charge of your physical, financial, and emotional well-being.
o Medical, Dental, Vision
o PTO
o Retirement Matching
o Tuition reimbursement
o Discount programs
o FSA (Flexible Spending Accounts)
o Identity Theft Protection
o Legal Aid
Williamson Health is an equal-opportunity employer and a drug-free workplace.
POSITION SUMMARY
A Medical Technologist is responsible for conducting laboratory tests which provide information to physicians for the diagnosis, prevention or treatment of diseases in patients.
Essential Functions:
• Promotes the mission, vision, and values of the organization. Exhibits and adheres to WMC's Standards of Performance in all areas of job duties and responsibilities.
• Participates in hospital initiatives and in departmental goals set by the Laboratory Director and staff.
• Interacts professionally with laboratory management, laboratory personnel, physicians, hospital personnel, patients and customers to provide optimal patient care.
• Works well with other laboratory employees to maintain an environment of teamwork.
• Exercises all laboratory safety precautions and adheres OSHA and TOSHA safety regulations
• Positively identifies patients, labels specimens and enters results using two unique identifiers. Maintains working knowledge of laboratory policies and procedures.
• Maintains current knowledge and adheres to hospital policies and state, federal and other regulatory requirements
• Responds appropriately to tests with a priority of STAT, call results or timed specimens
• Responsible for training new employees and students as assigned.
• Performs high-complexity testing
• Notifies nursing and/or physician of critical lab values with complete documentation on report
• Responsible for instrument calibrations, maintenance and troubleshooting problems.
• Performs quality control as outlined by departmental procedures.
• Reviews pending and outstanding reports and resolves outstanding specimens
• Other duties as needed/assigned.
POSITION REQUIREMENTS
Formal Education / Training:
• BS degree in Medical Technology, Medical Laboratory Science or equivalent
• Valid State of Tennessee Medical Technologist license
Workplace Experience:
• Laboratory experience preferred
• Meditech experience preferred
Knowledge, Skills and Abilities:
• Knowledge of medical laboratory science
• Strong organizational skills and interpersonal skills
• Ability to determine appropriate course of action in more complex situations
• Ability to work independently, be attentive to detail and maintain a positive attitude
• Ability to manage multiple and simultaneous responsibilities and to prioritize scheduling of work
• Ability to maintain confidentiality of all medical, financial and legal information
• Ability to complete work assignments accurately and in a timely manner
• Ability to handle difficult situations involving patients, physicians, or others in a professional manner
• Strong computer skills
Physical Environment:
• Exposure to blood and body fluids, infectious and contagious diseases, chemicals.
• Ability to communicate in English verbally and in writing.
• Ability to perform multi-functional tasks.
• Ability to read computer screen, distinguish color, hear phone and conduct interpersonal communications
• Ability to learn, reason and perform mathematical calculations related to job.
• Ability to use critical thinking skills.
• Requires light to moderate work with 40 pounds maximum weight to lift and carry.
• Manual dexterity and mobility in both hands; exposed to repetitive motion.
• Frequent reaching, bending, stooping, kneeling, and crouching.
• Requires prolonged standing and walking
• Flexibility to shift schedule, work extra hours or overtime as needed by staffing deficits or high patient volumes
PERFORMANCE STANDARDS
Works well with Management:
• Communicates potential issues in a timely manner
• Follows through on work assignments
• Communicates opportunities for improvement in a positive way
• Accepts reassignments as needed
Participates in departmental meetings and process improvement teams (laboratory or hospital, if applicable).
• In-services reviewed and signed before due date
Motivated - takes initiative for work that needs to be done
• Helps section head with instrument correlations/quality control range establishment
• Performs maintenance without being asked or as assigned
• Follows through with incomplete report and documents on lead tech board without reminder
• Seeks out new tasks when work in area is done/caught up
• Floats to needed areas
Positively identifies patients and specimens
Corrected reports that could affect outcome of patient kept to a minimum
Technical errors kept to a minimum (procedure not followed correctly - may affect patient care)
Follows laboratory policies and procedures regarding:
• Testing
• Quality Control
• Instrument maintenance and troubleshooting
Turn Around Time within acceptable time criteria for ER patients. Average time from Collected to Resulted:
• • 20 - 30 minutes
• >30 minutes
Follows Hospital and Laboratory Policies on the use of Electronic Devices:
• Cell phones kept on vibrate
• Phones/Electronic/Headphones devices used during break/meal times only
• Does not use personal phones in patient care areas
• Uses the hospital internet for work purposes only
Adheres to WMC Lab Attendance policy
• Tardies/Absences kept to a minimum
• Rarely misses time punches in API
• Submits requests for PTO within policy guidelines
• Does not take extended lunches
• Takes appropriate breaks as dictated by workload
Turns out accurate laboratory results
• Checks specimen integrity
• Uses critical thinking skills when reporting results
• Troubleshoots problems related to laboratory values
Provides effective communication
• Communicates problems/issues/concerns to lead tech
• Communicates problems/issues/concerns at shift change to co-worker
• Communicates testing delays to appropriate personnel
• Reads e-mail and communication logs during each work day.
It's a Tech stack Problem.
If you're getting interviews but not offers, you're closer than you think—and that's the most frustrating stage to be in.
You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs.
Most candidates don't fail because they're "not smart.” They fail because they prepared the wrong way—watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals.
SynergisticIT's approach is built for this exact scenario.
Since 2010, SynergisticIT has helped candidates move from "almost” to "offer,” with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack.
Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more.
SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers.
The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI.
Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end” thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways.
SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer).
Explore resources and get started: If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're tired of being "final round” without the offer, stop guessing and start preparing with a plan.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
The Medical Laboratory Scientist would be working for a Major Hospital and has career growth potential.
Medical Laboratory Scientist Highlights: Schedule Options (We are not rigid with these times as the department operates 24/7.): 1.
8am-4pm 2.
4:00 PM ??? 12:00 AM 3.
12:00 AM ??? 8 :00 AM.
Pay Range: $ 46-48 Hourly Medical Laboratory Scientist Responsibilities: Perform lab testing in the Core Lab and report results according to SOP.
Operate, maintain, and troubleshoot laboratory analyzers and equipment.
Perform quality control tasks and maintain laboratory documentation according to SOP.
Maintain and manage laboratory supplies.
Provide laboratory information to others on the patient care team.
Medical Laboratory Scientist Required Qualifications: Qualifications: BS degree in Medical Laboratory Science / Medical Technology.
ASCP or equivalent Medical Laboratory Scientist certification.
Previous laboratory experience preferred, but not necessary; new graduates welcome.
Required Education: Medical Laboratory Science / Medical Technology Associate???s degree required.
Preferred Education: BS degree in Medical Laboratory Science / Medical Technology is preferred.
Required Certifications & Licensure: ASCP or equivalent Medical Laboratory Scientist certification.
Strong preference for MLSs with Total Lab Automation experience.
If you are interested in this Medical Laboratory Scientist position, please apply to this posting with Luke Heuser at A-Line!
Summary Performs a variety of laboratory tests on blood, tissue and body fluids using both automated and manual methods.
Ensures accurate, timely reporting of lab test results in order to assist medical staff in patient care.
Serves as a technical resource and performs section supervisory functions.
Embark on a rewarding career with St.
Mary's Medical Center hospital.
If you are a compassionate healthcare professional eager to contribute to patient care, this is your opportunity where your skills make a difference every day.
Join us in delivering exceptional healthcare with a personal touch.
At St.
Mary's Medical Center, we understand that our greatest asset is our dedicated team of professionals.
That's why we offer more than a job
- we provide a comprehensive benefit package that prioritizes your health, professional development, and work-life balance.
The available plans and programs include: Medical, dental, vision, and life insurance 401(k) retirement savings plan with employer match Generous paid time off Career development and continuing education opportunities Health savings accounts, healthcare & dependent flexible spending accounts Employee Assistance program, Employee discount program Voluntary benefits include pet insurance, legal insurance, accident and critical illness insurance, long term care, elder & childcare, auto & home insurance Note : Eligibility for benefits may vary by location and is determined by employment status St.
Marys Medical Center (SMMC), part of the Palm Beach Health Network, is a 420-bed acute care hospital in West Palm Beach.
The hospital has been serving Palm Beach County and the Treasure Coast for more than 80 years.SMMC is a Level 1 Trauma Center, a state-designated Pediatric Trauma Referral Center, certified Comprehensive Stoke Center, and has a level III NICU.
Pediatric services are provided at the Palm Beach Childrens Hospital at St.
Marys Medical Center, which is the only dedicated childrens hospital between Ft.
Lauderdale and Orlando.
Along with 24/7 dedicated pediatric emergency and trauma care, Palm Beach Childrens Hospitals medical staff consists of 196 pediatricians in 36 subspecialties.
Join us! Education: Required: Bachelor's degree from an approved college or university and/or graduate of an accredited school of medical technology, or equivalent such as military training as defined by 42 CFR 493.1489 or have qualified at the Medical Technologist level by achieving a satisfactory grade on an HHS examination before 2/28/92 42 CFR 493.1491.
The above meets the required criteria as defined by CLIA regulations for High Complexity testing (42 CFR 493.1489 and 42 CFR 493.1491).
Experience: Required: 2 years as a medical technologist in acute care facility with demonstration of increasing responsibilities.
License: Clinical Laboratory Technologist required LI-RS15c143e31-5e48-4549-b638-05792d185386
Full Time, Nights Position Summary The Medical Laboratory Scientist performs a variety of laboratory tests on blood, tissue and body fluids using both automated and manual methods.
Ensures accurate, timely reporting of lab test results in order to assist medical staff in patient care.
Performs automated and manual patient testing.
Operates instruments and equipment per approved polices and procedures.
Monitors and maintains an adequate inventory of chemicals, reagents, and supplies.
Displays effective communication skills regarding lab related issues.
Good Samaritan Medical Center Hospital is committed to providing exceptional patient care in a supportive and collaborative environment.
As a member of our team, you will have the opportunity to work with advanced technology and be part of a healthcare community dedicated to making a positive impact on the lives of our patients.
At Good Samaritan Medical Center, we understand that our greatest asset is our dedicated team of professionals.
That's why we offer more than a job
- we provide a comprehensive benefit package that prioritizes your health, professional development, and work-life balance.
The available plans and programs include: Medical, dental, vision, and life insurance 401(k) retirement savings plan with employer match Generous paid time off Career development and continuing education opportunities Health savings accounts, healthcare & dependent flexible spending accounts Employee Assistance program, Employee discount program Voluntary benefits include pet insurance, legal insurance, accident and critical illness insurance, long term care, elder & childcare, auto & home insurance Note : Eligibility for benefits may vary by location and is determined by employment status Good Samaritan Medical Center (GSMC) is a 333-bed acute care hospital, part of the Palm Beach Health Network, that provides sophisticated, personalized and emergency medical care to Palm Beach County and the Treasure Coast with over 100 years of experience.
GSMC utilizes some of the latest robotic technologies for robust general surgery procedures including the MAKO and Da Vinci robots.
Our cancer center is accredited by the Commission on Cancer, anchored by our state-of-the-art Breast Center.
Join our team! Education: Required: Bachelor's Degree from an approved college or university and/or graduate of an accredited school of medical technology, or equivalent such as military training as defined by 42 CFR 493.1489, or have qualified at the Medical Technologist level by achieving a satisfactory grade on a HHS examination or equivalent prior to 2/28/92 42 CFR 493.1491.
The above meets required criteria as defined by CLIA regulations for High Complexity testing (42 CFR 493.1489 and 42 CFR 493.1491).
Experience: Required: 2 years as a medical technologist in acute care facility, OR 1 year as a medical technologist in acute facility and a Master's degree.
License: CLINICAL LABORATORY TECHNOLOGIST REQUIRED Certification: N/A5c143e31-5e48-4549-b638-05792d185386
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
tvScientific is looking for a Senior MLOps Engineer! You'll be working with a distributed engineering team on our Connected TV ad-buying platform, as we scale our Machine Learning practice. We've cracked the code on optimizing TV ad campaigns. We're scaling massively and we need your help to make that scale sustainable.
An Idealab company, tvScientific was co-founded by executives with deep roots in programmatic advertising and digital media. tvScientific helps our clients buy ads across the CTV universe, from Hulu to PlutoTV to the ad-supported tier of Disney+ and (HBO) Max. Since our acquisition by Pinterest, we're expanding our work on CTV to lift search & social advertising performance.
What you'll do:
- Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
- Improve the developer experience for the data science team
- Upgrade our observability tooling
- Serve as a technical lead and mentor to the team
- Make every deployment smooth as our infrastructure evolves.
What we're looking for:
- Deep understanding of Linux
- Excellent writing skills
- A systems-oriented mindset
- Experience in high-performance software (RTB, HFT, etc.)
- Software engineering experience + reliability (e.g. CI/CD) expertise
- Strong observability instincts
- Nice-To-Haves:
- Reverse-engineering experience
- Terraform, EKS, or MLOps experience
- Python, Scala, or Zig experience
- NixOS experience
- Adtech or CTV experience
- Experience deploying a distributed system across multiple clouds
- Experience in hard real-time low-latency (
