DataVisor jobs

This position is part time. About this role: As a Social Worker with Fresenius Medical Care, you will provide psychosocial services for our dialysis clinic patients. You will work with the health care team to promote positive adjustment, rehabilitation, and improved quality of life for our patients. As well as support the clinic staff in understanding the emotional, psychological, and behavioral impact of chronic kidney disease on the patient and family. How you grow or advance in your career: We believe in encouraging our employees to achieve their full potential by offering opportunities for advancement. We have a social work specific career ladder ranging from pre-licensed (in states where permitted), to three potential levels of facility social work, as well as a leadership path from Social Worker to Manager, Senior Manager and Senior Director. Our culture: We believe our employees are our most important asset - we value, care about, and support our people. We are there when you may need us most, from tuition reimbursement to support your education goals, granting scholarships to family members, delivering relief when natural disasters strike, or providing financial support when personal hardship hits, we take care of our people. Our focus on diversity: We have built a nurturing environment that welcomes every age, race, gender, sexual orientation, background, and cultural tradition. We have a diverse range of employee resource groups (ERGs) to encourage employees with similar interests, goals, social and cultural backgrounds, or experiences to come together for professional and personal development, discussion, activities, and peer support. Our diverse workforce and culture encourage opportunity, equity, and inclusion for all, which is a tremendous asset that sets us apart. At Fresenius Medical Care, you will truly make a difference in the lives of people living with kidney disease. If this sounds like the career and company you have been looking for, and you want to be a vital part of the future of healthcare, apply today. PRINCIPAL DUTIES AND RESPONSIBILITIES: As a member of the nephrology health care team, you will assess the patients' psychosocial status, strengths and areas of need that may affect rehabilitation and optimal treatment outcomes as part of the comprehensive patient assessment. Collaborates with the patient and health care team to identify effective interventions that will help the patient meet rehabilitation, treatment goals, and improve quality of life. Utilizes patient education programs, established social work theory and methods, social work focused interventions, and quality of life measurement instruments as part of the assessment and care planning to address barriers and meet patient treatment goals. Provides monitoring and interventions for the patient to adjust to dialysis and achieve optimal psychosocial status and quality of life. Assesses patient knowledge of kidney disease for barriers that may affect adherence to treatment. Provides supportive counseling services to patients as permitted within the scope of their clinical training and state license. Provides information and assists the team and patient with referrals to community resources (home health services, vocational rehabilitation, etc.) to facilitate optimal treatment outcomes. Maintains current knowledge regarding local vocational/educational rehabilitation programs and assist patients with referral and access to vocational rehabilitation to enable them to remain employed, become employed or receive education. Assesses patient awareness of advance directives; assists with accessing advance directive forms/information and facilitates discussion of advance directive wishes, if necessary, with the healthcare team and the patient's family/support persons. Participates in the discussion of patient DNR status in the facility to ensure patient and/or family understand and make an informed decision about their care. Reports on quality indicators related to adherence, such as missed and shortened treatments, quality of life trends, and service recovery. Works with patient, family and health care team to provide education tailored to the patient's learning style, communication barriers, and needs. Provides educational and goal directed counseling to patients who are seeking transplant. Facilitates the transplant referral process and collaborates with interdisciplinary team on transplant waitlist management. Provides ongoing education to patient/family regarding psychosocial issues related to end stage renal disease (ESRD) and all support services that are available. Reviews patient rights and responsibilities, grievance information (company and network) and other facilities policies with patient and/or the patients' representative to ensure patients' understanding of the rights and expectations of them. Provide training to clinic staff pertaining to psychosocial topics as needed. EDUCATION AND REQUIRED CREDENTIALS: Masters in Social Work Must have state required license EXPERIENCE AND SKILLS: 0 - 2 years' related experience PHYSICAL DEMANDS AND WORKING CONDITIONS: The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Travel required (if multiple facilities or home visits, if applicable) The rate of pay for this position will depend on the successful candidate's work location and qualifications, including relevant education, work experience, skills, and competencies. Hourly Rate: $24 - $49 Benefit Overview: This position offers a comprehensive benefits package including medical, dental, and vision insurance, a 401(k) with company match, paid time off, parental leave. Fresenius Medical Care maintains a drug-free workplace in accordance with applicable federal and state laws. EOE, disability/veterans

Paid one on one training and education provided. Empower, engage and train dialysis patients on peritoneal and home hemodialysis using state-of-the-art training programs and equipment. Primarily works in the clinic setting and conducts initial home visits with another staff member present . Position functions as an onsite Patient Educator and Case Manager for patients with various shifts and work hours . PURPOSE AND SCOPE: The registered professional nurse Home Therapies RN CAP 1 is an entry level designation into the Clinical Advancement Program (CAP). This position is accountable and responsible for the provision and coordination of clinically competent care including assessment, planning, intervention and evaluation for an assigned group of patients. Assesses and manages patients' response to home dialysis training and treatment therapy by following prescribed predetermined protocols and communicates patient related issues to the physician as needed. As a member of the End Stage Kidney Disease (ESKD) health care team, this position participates in decision-making, teaching, leadership functions, and quality improvement activities that enhance patient care outcomes and facility operations. PRINCIPAL DUTIES AND RESPONSIBILITIES: All duties and responsibilities are expected to be performed in accordance with Fresenius Kidney Care policy, procedures, standards of nursing practice, state and federal regulations. · Performs all essential functions under the direction of the Supervisor with guidance from the Educator, Preceptor or in collaboration with another Registered Nurse. · Performs ongoing, systematic collection and analysis of dialysis data for assigned patients and documents in the patient medical record, makes adjustments or modifications to treatment plan as indicated and notifies Supervisor or physician as needed. · Assesses, collaborates and documents patient/family's basic learning needs to provide initial and ongoing education to patients and family. · Directs and provides, in collaboration with the patient, home care partner, direct and ancillary patient care staff, all aspects of the provision of safe and effective delivery of dialysis therapy to assigned patients. · Administers medications as prescribed or in accordance with approved algorithm(s), and documents appropriate medical justification and effectiveness. · Initiates or assists with emergency response measures. · Serves as a resource for health care team, participates in staff training and orientation of new staff as assigned. · Ensures correct laboratory collection, processing and shipping procedures are performed and reschedules missed or insufficient laboratory collections. · Identifies expected outcomes, documents and updates the nursing assessment and plan of care for assigned patients through collaboration with the Interdisciplinary Team. · Ensures patient awareness related to transplant and treatment modality options. · Assists in the identification, evaluation, selection and education of Home Dialysis candidates and Home Partners. · Performs assessment and identifies barriers of the Home Dialysis candidate's home environment and partner / family readiness and ability to perform dialysis treatments in the home. · Trains Home Dialysis patients and / or Home Partners on the safe, effective operation and maintenance of all Home Dialysis equipment and treatment supplies through an organized and formal Home Dialysis Training Program. · Required to complete CAP requirements to advance. · Performs all other duties as assigned by Supervisor. PHYSICAL DEMANDS AND WORKING CONDITIONS: The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. · The position provides direct patient care that regularly involves heavy lifting, moving of equipment, patients and assisting with ambulation. Equipment aids and/or coworkers may provide assistance. · This position requires frequent, prolonged periods of standing and the employee must be able to bend over. · The employee may occasionally be required to move, with assistance, machines and equipment of up to 200 lbs., and may lift chemical and water solutions of up to 30 lbs. as high as 5 feet. · The work environment is characteristic of a health care facility with air temperature control and moderate noise levels. · May be exposed to infectious and contagious diseases/materials. · Rotates coverage with other licensed home therapies staff as assigned to ensure reliable and adequate coverage. · Position requires participation in on-call rotation, night, weekend, holiday or as defined by individual program needs. · The position may require travel to training sites, other facilities or patient homes. · May be asked to provide essential functions of this position in other locations including patient's home with the same physical demands and working conditions as described above. · Day to day work includes desk work, computer work, interaction with patients, facility/hospital staff and physicians. SUPERVISION: Assigned oversight of LPNs/LVNs, RNs, Patient Care Technicians and Home Therapy Care Team Assistants as a Team Leader or designated Nurse in charge, after meeting all the following: · Successful completion of all FKC education and training requirements for new employees. · Must have a minimum of 12 months experience as a RN. · Successful completion of 3 months experience as a RN in home peritoneal dialysis and / or hemodialysis. EDUCATION and LICENSURE: · Graduate of an accredited School of Nursing. · Current appropriate state licensure. · Current or successful completion of CPR BLS Certification · Must meet the practice requirements in the state in which he or she is employed. EXPERIENCE AND REQUIRED SKILLS: · Entry level for RNs with less than 2 years of Nephrology Nursing experience as a Registered Nurse. · Minimum of 1-year experience as a Registered Nurse (preferred) · Home dialysis therapy experience (preferred). The rate of pay for this position will depend on the successful candidate's work location and qualifications, including relevant education, work experience, skills, and competencies. Hourly Rate: $34.00 - $59.00 Benefit Overview: This position offers a comprehensive benefits package including medical, dental, and vision insurance, a 401(k) with company match, paid time off, parental leave. Fresenius Medical Care North America maintains a drug-free workplace in accordance with applicable federal and state laws. EOE, disability/veterans

The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- PhD in computer science, computer engineering, or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience programming in Java, C++, Python or related language - Experience using Unix/Linux PREFERRED QUALIFICATIONS- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. Explore the product and our history! ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize kernel-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement compiler optimizations such as fusion, sharding, tiling, and scheduling * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative kernel optimization techniques About the team #1. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. #2. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. #3. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. #4. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. #5. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 6+ years of full software development experience - Expertise in accelerator architectures for ML or HPC such as GPUs, CPUs, FPGAs, or custom architectures - Experience with GPU kernel optimization and GPGPU computing such as CUDA, NKI, Triton, OpenCL, SYCL, or ROCm - Demonstrated experience with NVIDIA PTX and/or AMD GPU ISA - Experience developing high performance libraries for HPC applications - Proficiency in low-level performance optimization for GPUs - Experience with LLVM/MLIR backend development for GPUs - Knowledge of ML frameworks (PyTorch, TensorFlow) and their GPU backends - Experience with parallel programming and optimization techniques - Understanding of GPU memory hierarchies and optimization strategies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities - integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing - As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications. - Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements. - Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints. - Perform lint and clock domain crossing quality checks on the design. - Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks. You will thrive in this role if you: - Are familiar with scripting in Python - Are proficient with assertions - Have good debug skills to analyze RTL test failures - Have a "Learn and Be Curious" mindset About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. BASIC QUALIFICATIONS- Bachelor's degree in electrical engineering or equivalent - 5+ years in RTL design for SOC - 5+ years of VLSI engineering - 5+ years with code quality tools including: Spyglass, LINT, or CDC PREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent - Experience scripting for automation (e.g., Python, Perl, Ruby) - Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints - Familiarity with data path design, interconnects, AXI protocol - Good analytical, problem solving, and communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to work with partners and vendor and build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. Key job responsibilities - Develop formal verification plans, implement and verify state-of-the-art IP architectures. - Work with block designers to gain deep micro-architectural understanding. - Develop checking algorithms, assertions, and FV models. - Perform state of the art formal methods and abstraction techniques. - Participate in test plan and coverage reviews. - Promote assertions to simulation and contribute to overall simulation strategy. - Communicate and work with team members across multiple disciplines. About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- Bachelor's degree or above in computer science, electrical engineering, or related field - 7+ years of practical experience with formal verification as IP/Block owner, or equivalent academic experience in formal methods. - 7+ years of experience with formal verification techniques including abstraction and end-to-end checking, or equivalent academic experience in formal methods. PREFERRED QUALIFICATIONS- Experience with formal verification techniques including abstraction and end-to-end checking - Knowledge of programming or other scripting languages and coding skills (C/C++/C#, Node.JS, Java, Python, PHP, Ruby) - Understanding of u-arch design comprehension and debugging. - Practical experience with RTL design. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

About this role: As a Clinical Manager with Fresenius Medical Care, you will ensure that quality patient care is delivered while maintaining clinical operations. As the facility leader, you will be part of a close-knit, collaborative team responsible for delivering unique care plans and providing dialysis treatment to patients facing end stage renal disease or chronic kidney disease. Training and advancement: You will enter our Clinical Leadership Program that creates and supports a culture of continuous learning for our managers. The curriculum will cover onboarding, essential functions, leading your business, and advanced leadership. As a Clinical Manager, you may advance your career into an Area Team Lead or Director of Operations role. Our culture: We believe our employees are our most important asset - we value, care about, and support our people. We are there when you may need us most, from tuition reimbursement to support your education goals, granting scholarships to family members, delivering relief when natural disasters strike, or providing financial support when personal hardship hits, we take care of our people. Our focus on diversity: We have built a nurturing environment that welcomes every age, race, gender, sexual orientation, background, and cultural tradition. We have a diverse range of employee resource groups (ERGs) to encourage employees with similar interests, goals, social and cultural backgrounds, or experiences to come together for professional and personal development, discussion, activities, and peer support. Our diverse workforce and culture encourage opportunity, equity, and inclusion for all, which is a tremendous asset that sets us apart. At Fresenius Medical Care, you will truly make a difference in the lives of people living with kidney disease. If this sounds like the career and company you have been looking for, and you want to be a vital part of the future of healthcare, apply today. PRINCIPAL RESPONSIBILITIES AND DUTIES CLINIC OPERATIONS: Manages the operations of the clinic, including costs, processes, staffing, and quality standards. Provides leadership, coaching, and development plans for all direct reports. Partners with internal Human Resources, Quality, and Technical Services departments. Collaborates with or functions as the Home Therapies Program Manager to oversee the facility's Home Therapies Program. Maintains integrity of medical and operations records and complies with all data collections and auditing activities. Accountable for completion of the Annual Standing Order Review and Internal Classification of Disease (ICD) coding. Manages clinic financials including efficient utilization of supplies or equipment and regular profits and loss review. Responsible for all required network reporting and on-site state or federal surveys. PATIENT CARE: Coordinates all aspects of patient care with the appropriate staff members, from admission through discharge of the patient. Ensure education of the patient regarding quality measures, transplant options, modality awareness, and access care. Acts as a resource for the patient and family to address concerns and questions. Accountable for timely completion of patient care assessments and care plans. Manages timely patient schedules to ensure facility efficiency and develops action plans for missed treatments. Plans, coordinates, and validates patient eligibility for treatment. Reports changes in patient status regarding any clinical, insurance, or travel and transportation issues. STAFF: Participates in the selection and hiring of new team members and ensures completion of new hiring orientation and mandatory trainings. Responsible for all patient care employees completing appropriate training courses and that licensures/certifications are current. Provides support for all clinical staff members at regular intervals and encourages professional growth. Maintains current knowledge regarding company benefits, policies, procedures, and processes. Completes employee evaluations and establishes annual goals. Documents any disciplinary actions and confers with the clinic Director of Operations and Human Resources when needed. Manages staff scheduling and payroll. PHYSICIANS: Facilitates the application process for physician privileges and compliance with Fresenius Medical Care Medical Staff By-Laws. Responsible for strong physician relationships and ensures regular and effective communication. Participates in Governing Body, an interdisciplinary team for each region including MSWs, Dietitians, MDs, DOs etc. that governs policies. EDUCATION AND REQUIRED CREDENTIALS: Bachelor's Degree or an equivalent combination of education and experience. Graduate of an accredited School of Nursing (RN). Current appropriate state licensure. EXPERIENCE AND SKILLS: Required: 6+ years business operations experience in a healthcare facility. 12 months experience in clinical nursing. 6 months chronic or acute dialysis nursing experience. Successfully pass the Ishihara Color Blind Test. Preferred but not required: 3+ years supervisory or project/program management experience. Med/surg or ICU/CCU experience. PHYSICAL DEMANDS AND WORKING CONDITIONS: Day-to-day work includes desk and personal computer work and interaction with patients, facility staff, and physicians Position may require travel between assigned facilities and various locations within the community and/or travel to regional, business unit, and corporate meetings may be required. The work environment is characteristic of a healthcare facility with air temperature control and moderate noise levels. May be exposed to infectious and contagious diseases/materials. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The position provides direct patient care that regularly involves heavy lifting, moving of patients, and assisting with ambulation. Equipment aids and/or coworkers may provide assistance. The rate of pay for this position will depend on the successful candidate's work location and qualifications, including relevant education, work experience, skills, and competencies. Annual Rate: $71,000 - $166,000 Benefit Overview: This position offers a comprehensive benefits package including medical, dental, and vision insurance, a 401(k) with company match, paid time off, parental leave and potential for performance-based bonuses depending on company and individual performance. Fresenius Medical Care maintains a drug-free workplace in accordance with applicable federal and state laws. EOE, disability/veterans

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS- Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission. The following information provides an overview of the skills, qualities, and qualifications needed for this role. Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI, weve recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data its trained on. Thats why we work with contributors from all over the world, who help improve AI models by providing expert human feedback. This data has led to AI advancements for the world's leading AI labs and large language model builders. Weve built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility. What you will be doing We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems. Adopt a user mindset to produce natural data to meet the realistic needs you have or would use AI for. Use the tool of rubrics to address user needs in a structured way. Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models. Contribute across projects depending on your specific skillset and experience. What were looking for Education: Bachelors degree or higher (or currently enrolled). Analytical and Problem-Solving Skills: Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning. Strong Writing: Clear, concise, and engaging writing to explain decisions or critique responses. Attention to Detail: Commitment to accuracy and ability to assess technical aspects of model outputs. Nice to Haves: Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Compensation and benefits Earn up to $15 USD/hr, paid out weekly Rates vary based on quality, accuracy, and time spent. Paid via PayPal & AirTM Free access to Model Playground Interact, experiment and engage with leading large language models free of cost Flexible schedule and time commitment No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours/week, up to 40 hours working from home Join a global community of Coding experts Join a global network of experts contributing to advanced AI tools Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. Equal Opportunity Employer: Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce. xevrcyc Remote working/work at home options are available for this role.

About the Company… WUNDERKIND combines a refined taste rooted in deep industry connections with customer service expertise. Not just another department or store chain, WUNDERKIND is a true home base for the luxury consumer. Our storefronts offer a community-based environment, both warm and inviting. Our third addition, Coast Village debuted in September of this year. Adding to the brand's repertoire, Coast Village was the first for the brand to feature menswear fashions alongside women's contemporary, handbags, footwear, fine jewelry, and home accents. WUNDERKIND's brand values are built on four pillars of PRIDE... 1. Pride in what we do. 2. Pride in bringing together a community of people. 3. Pride in our accomplishments. 4. Pride in the journey it took to get there. About the Role… Sales & Services Meets annual sales goal Maintains a healthy metric performance in-line or above stores average Builds and maintains meaningful client relationships Creates personalized customer experiences A business driver producing consistent appointment and memo business Well informed, demonstrates knowledge of brands and product offerings Customer centric providing the highest level of service Leadership Brand ambassador Engages and motivates colleagues to utilize time effectively Keeps colleagues abreast of business pertinent information Ensures we are delivering a seamless customer experience through supporting colleagues' customer interactions Cultivates a team-oriented environment Operations Ensures stores opening and closing procedures are fully completed Maintains front and back of house organization Communicates known inventory discrepancies to Director of Operations and Inventory Manager Participates in stores inventory counts and conducts spot checks Knowledgeable in inventory levels and ownership Visual Aesthetics Assists with execution of floor sets Maintains visual merchandising standards Assists with executing weekly mannequin directives Work Schedule & Compensation Average of 35 hour per week Schedule will include two Saturdays per month Hourly rate $22 per hour plus commission Bonus Eligibility Paid Time off Health Insurance 401k with Matching Employee Discount About You… 3+ years in service-oriented and sales driven environment Client book from luxury retail space preferred Able to multitask and prioritize time Adheres to all organizational policies Models' behavior that reflects organizational values Collaborative and works well in a team of dynamic individuals Computer proficient Social media savvy Portrays distinct stylistic point of view Motivated Perks… Bonus Eligibility Employee Discount Paid Time off Family Leave Health Insurance 401k Matching

Mandarin Document Reviewer Contact Review - Washington, DC Familiarity with document review workflows Examples: Privilege/Responsiveness Review, Redactions, Conceptual Searching, First and Second Review, etc. Experience with electronic document review technology Examples: Relativity, Concordance, ViewPoint, etc. Active bar admission in at least 1 U.S. Jurisdiction and status in good standing Ability to read/write Mandarin Chinese. Preferred Skills (Not Required) Experience as a member of a document review team Familiarity with Relativity 9.0 or higher version 2+ years of legal support experience Hours & Location Location (including opportunity for remote work) is established on a project‑by‑project basis Hours (including the opportunity to work outside standard business hours) are established on a project‑by‑project basis About Contact Contact Review prides itself on finding high‑quality, high‑accountability, barred attorneys specifically tailored to the needs of our project. We seek attorneys to assist with document review, privilege review, expert testimony, legal research, and foreign language translation. Unlike other eDiscovery vendors, Contact fosters a culture where every project manager, programmer, engineer, reviewer, and analyst sees themselves as an extension of the projects' team. Here at Contact, we look for ways to improve efficiency, streamline workflows, and put our clients in the best possible position to weather the next storm. For more information about Contact Review please visit: ************************************************************* Salary: $60 - $60 an hour #J-18808-Ljbffr

Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission. Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI, weve recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data its trained on. Thats why we work with contributors from all over the world, who help improve AI models by providing expert human feedback. This data has led to AI advancements for the world's leading AI labs and large language model builders. Weve built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility. What you will be doing We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems. Adopt a user mindset to produce natural data to meet the realistic needs you have or would use AI for. Use the tool of rubrics to address user needs in a structured way. Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models. Contribute across projects depending on your specific skillset and experience. What were looking for Education: Bachelors degree or higher (or currently enrolled). Analytical and Problem-Solving Skills: Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning. Strong Writing: Clear, concise, and engaging writing to explain decisions or critique responses. Attention to Detail: Commitment to accuracy and ability to assess technical aspects of model outputs. Nice to Haves: Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Compensation and benefits Earn up to $15 USD/hr, paid out weekly Rates vary based on quality, accuracy, and time spent. Paid via PayPal & AirTM Free access to Model Playground Interact, experiment and engage with leading large language models free of cost Flexible schedule and time commitment No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours/week, up to 40 hours working from home Join a global community of Coding experts Join a global network of experts contributing to advanced AI tools Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. Equal Opportunity Employer: Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.

GENERAL SUPERINTENDENT - COMMERCIAL CONSTRUCTION EXPERIENCE REQUIRED Southern California based General Contractor seeking an experienced Construction General Superintendent for both Ground-up and Tenant Improvement commercial projects. This role includes managing the Superintendents to ensure the day-to-day operations of the construction site are completed, as well as overseeing their coordination and scheduling. Responsibilities Responsible for overall safety, client satisfaction, resolving job issues and profit/ loss on their assigned projects. Ensure your Superintendents maintain a safe and clean work environment, meeting, or exceeding OSHA standards. Maintain positive professional relationships with all parties involved with the project. Take responsibility, accountability, and initiative to drive projects forward without supervision. Interview, hire, provide direction, evaluate performance, recommend pay adjustments, and when necessary, discipline or discharge subordinates. Attending project progress meetings, in-house and customer pre-construction meetings. Frequent travel to jobsites. Directly supervise a team of Superintendents. Proactively identify and communicate design deficiencies, schedule conflicts, or project specific concerns with Project Manager. Ensure all work is installed per plans and specifications, while maintaining schedule and thoroughly enforcing quality control standards. Track and report all expenses. Ensure your Superintendents take photos and prepare daily logs and site safety reports, and coordinate/enforce schedules with vendors and subcontractors. Interview, hire, provide direction, evaluate performance, recommend pay adjustments, and when necessary, discipline or discharge subordinates. Requirements Must have reliable transportation, and strong willingness to travel. 5+ years' experience as a General Superintendent overseeing new ground-up projects. MS Project scheduling experience and ability to run the schedules and updates for projects. Strong proven written and verbal communications abilities; proficiency with computer applications, including Microsoft Office suite, smart phone/tablet, and digital camera. Excellent critical thinking skills and ability to adapt to changing needs. Procore experience preferred. Must be meticulous, excellent organizational skills, naturally observant, diligent, and sociable. A thorough understanding of commercial project documents, plans, specifications, and special requirements or conditions of such job sites. Experience supervising a project team with the ability to create an environment where safety is first. Benefits Flexible small company atmosphere Great opportunity for growth Medical w/ Dental & Vision options Vacation Holidays 401 Compensation Dependent upon experience. $115k - $175k+

🚀 Now Hiring: Sales Client Representative | Commercial Construction 🚀 Are you a proven hunter with a track record of winning new business? We're seeking a Sales Client Representative to drive growth in commercial new construction projects valued at $1M-$1.5M. About the Role You'll manage the full sales cycle (6-18 months) within the Santa Ana, CA territory -prospecting, qualifying, and closing deals. Backed by an experienced estimating/bidding team, you'll build relationships with general contractors, project managers, landscape architects, developers, and C-level executives to deliver large-scale commercial landscaping projects. Responsibilities Build and manage a regional sales pipeline from lead to close Develop and maintain relationships with key decision makers Collaborate with internal teams to deliver winning proposals Achieve and exceed individual and regional sales goals Qualifications 2+ years of B2B outside sales in the construction industry Proven success hitting and exceeding quotas Experience managing long, complex sales cycles Strong communication and presentation skills High energy, persistence, and results-driven mindset Why This Opportunity? Partner with the #1 commercial landscaping company in North America Contribute to high-profile projects-MLB stadiums, HQs, landmark parks, and more Backed by a publicly traded, $1.5B+ organization with 20,000+ employees 📩 If you're ready to grow your career and close big deals, let's connect. Please email me your resume at: ******************************

You drive the strategy, Spark does the stakeholder updates. The AI for PMs. Productboard is looking for an in‑house counsel with start‑up experience, who is skilled in contracts, product counseling, and privacy work. The right candidate will be business‑minded and comfortable working in a fast‑paced, tech‑focused start‑up environment. Responsibilities Commercial Counsel Must be detail oriented and comfortable redlining and reviewing commercial agreements on a quick timetable with a “business‑minded” mentality. Emphasis on “drafting to close.” Examples agreements include: Vendor agreements (Data Processing Agreements, Master Agreements, and Order Forms) Enterprise SaaS agreements (Master Subscription Agreement, Data Processing Agreements, and Order Forms) Marketing agreements (Sponsorship and event agreements) Consulting agreements Partnership agreements Data Protection, Privacy and Compliance Must have expertise in Data Protection, Privacy, and how to maintain compliance with all Privacy regulations. Review incoming privacy related questions from customers Stay up to date on laws and make sure Productboard is implementing those correctly into agreements and Productboard's website Comfortable negotiating Data Processing Agreements and making changes to the company's Data Processing Agreement template based on product team's needs and regulations Expertise in GDPR, EU-US Data Privacy Framework, CCPA, CPRA Comfortable with redlining security addendums with guidance from Productboard's Security Team Familiarity with EU AI Act, building internal AI policies, and general AI privacy matters Product Counseling Provide legal guidance to product and engineering teams throughout the product development lifecycle from ideation to launch and beyond. Review, draft, and negotiate contracts related to product development to onboard critical subprocessors Ability to help product with drafting notices for new subprocessors to customers Advise on compliance matters related to product design such as updating online agreements to cover new product features/offerings and ensuring proper consents and notices are displayed on the website Support the implementation of privacy and data protection considerations in product development, including GDPR and CCPA compliance. Nice to have Familiarity with SOC2, ISO42001 and ISO27001 compliance best practices Comfortable with open source Experience working in house and at a start up a plus Experience working with executives and senior leadership The expected base pay range for this position in the San Francisco area is $205,575 - $274,100. In addition to the base pay, this role is eligible for competitive equity awards and benefits. Productboard's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job‑related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. About Productboard At Productboard, we're on a mission to help product teams build exceptional products with clarity and confidence. As the leading intelligent product management platform, we empower over 4,000 companies, including Salesforce, SAP, Autodesk, and Kroger, to understand what customers need, prioritize what to build next, and align everyone around a shared roadmap. Headquartered in San Francisco with offices in Prague and Brno, Czechia, we're backed by some of the world's most respected investors, including Index Ventures, Kleiner Perkins, Sequoia Capital, Bessemer Venture Partners, Tiger Global, and Dragoneer. We're proud to be consistently recognized as one of the best places to work by BuiltIn and Comparably, and to count ourselves among the world's leading unicorn companies. Well‑funded and financially disciplined, we have the stability and runway to build boldly for the long term. Over the past few years, we've rearchitected our platform from the ground up to serve enterprise scale and set the foundation for the next era of product management. Now we're entering an exciting new phase with Productboard Spark, our AI‑first, agentic experience that transforms how product teams work. Spark is a true collaborator that deeply understands your product context, company strategy, and customer needs, helping teams move faster and make smarter, more confident decisions. Join us as we build the future of product management. About our culture Imagine working in a place where everything matters - most importantly, you. At Productboard, values aren't just something we like to talk about, they're something we live and breathe. We believe in creating a work environment where: People feel empowered, supported, and included Trust and transparency are built into the way we work Creativity, curiosity, and continuous improvement are encouraged and nurtured every day Forming our company values was a group effort, with every employee allowed to contribute. From profit‑sharing initiatives, like stock options, to open calendars and communication, we don't waste time on politics or ego. We champion openness by sharing our goals, successes, and failures. Join colleagues who are passionate about what they do. Team members who are invested in their work environment, and the future of Productboard. Help shape our company, culture, and product! We are an equal opportunity employer and champion equity. We aim to help people from all backgrounds, cultures, and groups realize their full potential at Productboard. We do not tolerate any discrimination or harassment based on gender identity, race, color, religion, age, sexual orientation, non‑disqualifying physical or mental disability, national origin, veteran status, or any other bias covered by appropriate law. All aspects of employment, including hiring, training, promotion, and terminations, are based on merit, competence, performance, and business needs. We are committed to an inclusive hiring process and provide all candidates with equal opportunity to demonstrate their abilities. Togetherness is one of our core values, and our Diversity Council helps to ensure that we uphold the values of authenticity, humanity, and diversity to create an environment where every person matters. We are committed to leading by example to drive societal change. #J-18808-Ljbffr

PURPOSE AND SCOPE: The professional registered nurse Inpatient Services RN CAP 1 is an entry level designation into the Clinical Advancement Program (CAP). This position is accountable and responsible for the provision and coordination of clinically competent care including assessment, planning, intervention and evaluation for an assigned group of patients. This may include delegation of appropriate tasks to direct patient care staff including but not limited to RNs, LVN/LPNs and Patient Care Technicians. As a member of the kidney disease health care team, this position participates in decision-making, teaching, leadership functions, and quality improvement activities that enhance patient care outcomes and program operations. PRINCIPAL DUTIES AND RESPONSIBILITIES: All duties and responsibilities are expected to be performed in accordance with Fresenius Kidney Care, policy, procedures, standards of nursing practice, applicable contractual service agreements, state and federal regulations. · Performs all essential functions under the direction of the Supervisor and with guidance from the Educator, Preceptor or in collaboration with another Registered Nurse. · Performs ongoing, systematic collection and analysis of patient data pre - during - post treatment for assigned patients and documents in the patient medical record, makes adjustments and modifications to treatment plan as indicated and notifies Supervisor, Physician, patient's primary nurse and others as may be indicated. · Assesses, collaborates and documents patient/family's basic learning needs to provide initial and ongoing education to patients and family. · Recognizes aspects and implications of patient status that vary from normal and reports to or collaborates with appropriate health team members for input including but not limited to Supervisor, appropriate physician, and the contracted facility primary Nurse. · Directs and provides safe effective patient care for assigned patients as prescribed for all modality specific treatment procedures. · Assesses daily assigned patient care needs and collaborates with direct and ancillary patient care staff as needed. · Initiates and coordinates communication with FKC and Non-FKC dialysis providers and appropriate contracted facility personnel as needed to provide continuity of patient care. · Performs the implementation, administration, monitoring, and documentation of patient's response to prescribed intradialytic transfusions, including appropriate notification of adverse reactions to physician and appropriate blood supplier. · Administers medications as prescribed and documents appropriate medical justification and effectiveness. · Initiates and assists with emergency response measures. · Serves as a resource for health care team, participates in staff training and orientation of new staff as assigned. · May be asked to provide specialized nursing care instruction to hospital/facility staff as stipulated contractually. · May be assigned to assist in an Outpatient facility on an as needed basis. · Required to complete CAP requirements to advance. · Performs all other duties as assigned by Supervisor. PHYSICAL DEMANDS AND WORKING CONDITIONS: The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. · The position provides direct patient care that regularly involves heavy lifting, moving of patients and assisting with ambulation. Equipment aids and/or coworkers may provide assistance. · This position requires frequent, prolonged periods of standing and the employee must be able to bend over. · The employee may occasionally be required to move, with assistance, machines and equipment of up to 200 lbs., and may lift chemical and water solutions of up to 30 lbs. as high as 5 feet. · The work environment is characteristic of a health care facility with air temperature control and moderate noise levels. · May be exposed to infectious and contagious diseases/materials. · May be asked to provide essential functions of this position in other locations with the same physical demands and working conditions as described above. · Day to day work includes, desk work, computer work, interaction with patients, facility/hospital staff and physicians. · The position requires travel to training/meeting sites and between assigned facilities. · Position requires participation in on-call rotation, night, weekend, holiday or as defined by individual program needs. SUPERVISION: Assigned oversight of Patient Care Technicians/LVN/LPNs/RNs as a designated Nurse in Charge, after meeting all the following: · Successful completion of all FKC education and modality specific training requirements for new employees. · Must have a minimum of 9 months experience as a RN. · 6 months experience in acute dialysis as a RN. EDUCATION and LICENSURE: · Graduate of an accredited School of Nursing. · Current appropriate state licensure. · Current or successful completion of CPR BLS Certification · Must meet the practice requirements in all states in which he or she is employed. EXPERIENCE AND REQUIRED SKILLS: · Entry level for RNs with less than 2 years of Nephrology Nursing experience as an RN · Minimum 9 months experience as a Registered Nurse, 12 months (preferred). · 6 months acute dialysis experience (preferred) · Hemodialysis and/or ICU experience (preferred). ACKNOWLEDGEMENT: I acknowledge that I have read and accepted this . I understand what is expected of me in this position, and I am able to perform the essential functions as outlined with or without reasonable accommodation. Furthermore, I understand that the duties and responsibilities listed in this are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related, or a logical assignment to the position. If I have any questions about duties and responsibilities not specified in this job description that I am asked to perform, I should discuss them with my immediate Supervisor or my Human Resources representative The rate of pay for this position will depend on the successful candidate's work location and qualifications, including relevant education, work experience, skills, and competencies. Rate: $34.50 - $60.00 Benefit Overview: This position offers a comprehensive benefits package including medical, dental, and vision insurance, a 401(k) with company match, paid time off, parental leave. Fresenius Medical Care maintains a drug-free workplace in accordance with applicable federal and state laws. EOE, disability/veterans

About Solaris Paper Solaris Paper is among the fastest-growing tissue manufacturers in the United States, with facilities in California, Oklahoma, and Virginia. As part of Asia Pulp & Paper Group (APP), one of the world's largest integrated paper companies, Solaris benefits from global resources while serving North American customers with agility. Our brands include LoCor , Livi VPG, and FIORA , one of the fastest-growing consumer towel and tissue brands in North America. Our growth is guided by the APP Sustainable Roadmap Vision 2030, ensuring innovation, supply chain integrity, and a deep commitment to responsible practices. Learn more about our Sustainability Roadmap Vision 2030 and Forest Conservation Policy at: ******************************************* Position Summary The Commercial Strategy & Analytics Specialist (CSAS) is a high-impact role that bridges sales analytics, forecasting, and commercialization. This position partners directly with Retail and Private Label Sales leadership to ensure we win bids, launch products seamlessly, and improve decision-making through data-driven insights. The CSAS will support the forecasting process, provide analytical support for pricing and promotional strategies, and lead commercialization projects from ideation through execution. Acting as the connective tissue across Sales, Marketing, Product Development, Supply Chain, and Finance, this role ensures Solaris Paper maintains speed-to-market, compliance, and flawless customer execution. Key Responsibilities Analytics & Forecasting Assist sales forecasting and demand planning support for Retail and Private Label channels. Analyze customer, market, and category data to identify growth opportunities and improve bid competitiveness. Provide reporting and insights to Sales leadership on pricing, margin, and promotional performance. Commercialization & Execution Manage the end-to-end commercialization process for both branded and private label launches. Partner with Sales on private label bids, ensuring timely, accurate, and compelling submissions. Coordinate timelines, deliverables, and cross-functional execution from concept to market launch. Product & Packaging Compliance Ensure product and packaging meet retailer, sustainability, and regulatory requirements (How2Recycle, FSC, chain of custody, etc.). Partner with Product Development on packaging innovation aligned with customer expectations. Cross-Functional Leadership Act as the primary liaison between Sales, Product Development, Supply Chain, Finance, and external vendors. Support trade show preparation and retail activation efforts, ensuring integration with broader marketing strategies. Drive continuous improvement in forecasting, analytics, and commercialization processes. Qualifications Bachelor's degree in Business, Marketing, Finance, Supply Chain, or related field; MBA preferred. 5+ years of experience in commercial strategy, sales operations, or commercialization within CPG, paper/packaging, or related industries. Strong analytical skills with proficiency in Excel, data visualization, and/or forecasting tools. Proven ability to manage cross-functional projects with tight deadlines. Understanding of private label commercialization and retailer expectations. Excellent communication, presentation, and collaboration skills. Why Join Solaris Paper? Play a pivotal role at the intersection of strategy, analytics, and execution. Influence growth across both branded and private label businesses. Be part of a company committed to sustainability, innovation, and customer success. Competitive compensation, comprehensive benefits, and long-term career growth.

Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission. Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI , we've recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data it's trained on. That's why we work with contributors from all over the world , who help improve AI models by providing expert human feedback . This data has led to AI advancements for the world's leading AI labs and large language model builders. We've built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility. What you will be doing We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems. Adopt a "user mindset" to produce natural data to meet the realistic needs you have or would use AI for. Use the tool of rubrics to address user needs in a structured way. Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models. Contribute across projects depending on your specific skillset and experience. What we're looking for Education : Bachelor's degree or higher (or currently enrolled). Analytical and Problem-Solving Skills : Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning. Strong Writing : Clear, concise, and engaging writing to explain decisions or critique responses. Attention to Detail : Commitment to accuracy and ability to assess technical aspects of model outputs. Nice to Haves: Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Compensation and benefits Earn up to $15 USD/hr, paid out weekly Rates vary based on quality, accuracy, and time spent. Paid via PayPal & AirTM Free access to Model Playground Interact, experiment and engage with leading large language models free of cost Flexible schedule and time commitment No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours/week, up to 40 hours working from home Join a global community of Coding experts Join a global network of experts contributing to advanced AI tools Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. Equal Opportunity Employer: Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.

DataVisor is a next-generation SaaS company that protects the world's largest enterprises from fraud and money laundering. Our award-winning AI decision platform combines industry-leading unsupervised machine learning (UML) with advanced supervised models to stop fraudulent activity across financial transactions, mobile growth, social networks, and e-commerce. We partner with leading global brands, delivering solutions built on top of our highly scalable platform. Behind these innovations is a world-class team of experts in big data, security, and distributed infrastructure, thriving in a culture that is open, collaborative, and results-driven. Join us and help push the boundaries of what's possible in fraud detection. Role Summary We are seeking a Software Engineering Manager to lead our Platform Engineering team. This team is at the heart of DataVisor's detection capabilities, building the AI-based fraud and risk decision platform that powers real-time and batch unified decisioning at enterprise scale. You will manage a talented team of engineers while also contributing to the design and development of our next-generation AI agent driven infrastructure. Together, you'll enable our customers to detect and stop complex fraud patterns in real time. What You'll Do * Design & Build: Architect and deliver a large-scale, AI-based fraud and risk decision platform. * Innovate in Fraud Detection: Apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior. * Unify Decisioning: Drive the development of a real-time and batch unified decision platform that powers enterprise-scale fraud prevention. * Scale Infrastructure: Build and optimize distributed, real-time data systems for low-latency decisioning. * Leverage Big Data: Utilize Spark, Flink, Cassandra, and related technologies to enable high-throughput ML pipelines. * Lead & Mentor: Manage, coach, and grow a team of engineers, fostering technical excellence and professional development. * BS degree in Computer Science or related field required; MS/PhD preferred * Fluent in Java or C++ programming, with knowledge of Python; hands-on in coding, system design, and architecture * 3+ years of experience leading or managing teams * 8+ years of software development experience * Solid understanding of AI/ML concepts (unsupervised, supervised, and emerging approaches such as agentic AI); experience applying ML in production systems is a strong plus * Familiarity with relational databases, SQL, and ORM frameworks (JPA, Hibernate) is a plus * Experience with big data technologies (Cassandra, Flink, Spark, Kafka) preferred * Knowledge of the Spring Framework is a plus * Exposure to test-driven development and high-quality engineering practices * Excellent oral and written communication skills * Strong team spirit and collaboration mindset Compensation: Annual salary range of USD $180,000 - $350,000, commensurate with experience. Why Join Us * Impact at Scale: Work on fraud detection systems processing billions of events daily. * Cutting-Edge Tech: Push the frontier in streaming, agentic AI, and big data infrastructure. * Career Growth: Lead a high-impact team with opportunities to shape technical direction and grow into senior leadership.