• In your role as Senior Research (Machine Learning) Engineer, you'll be at the heart of building the next generation of generative video technology. • Your work will push the boundaries of what's possible in AI-driven storytelling, helping Canva users go from idea to finished video with tools that feel genuinely magical. • By developing and shipping cutting-edge video generation models, you'll help redefine how hundreds of millions of people create and tell stories visually, shaping one of the most exciting product frontiers in AI. • Partnering with Research Scientists on research in multimodal generative AI, translating theory into practical applications • Porting experimental Python code to scalable, testable, and production-grade solutions, incorporating performance benchmarks and robust testing practices • Designing, developing, and implementing innovative model architectures and algorithms for multimodal design generation • Building sustainable ML pipelines that support continuous integration, deployment, and monitoring of generative models in production environments • Optimizing and scaling models for efficiency, latency, and throughput across large distributed systems • Enhancing and maintaining high-quality datasets and annotations to fuel multimodal learning • Investigating and addressing production incidents through root cause analysis and sustainable fixes • Collaborating closely with cross-functional stakeholders across Canva to build aligned, technically feasible, and high-impact solutions

Associate Publisher – Health Research Publications remote type Hybrid (8 days/month) locations USA - Kennesaw, GA USA - Minneapolis, MN USA - Clayton, MO USA - Waltham, MA USA - St Cloud, MN USA - White Plains, NY USA - Houston, TX, Allen Pkwy USA - Wichita, KS USA - Madison, WI, Junction Rd USA - Tampa, FL USA - Hagerstown, MD USA - Philadelphia, PA USA - Riverwoods, IL USA - Dallas, TX USA - Chicago, IL, West Adams St USA - New York City, NY USA - Indianapolis, IN time type Full time   LOCATION: Hybrid – 8 days a month in the office (see locations on the posting) As an Associate Publisher, you will play a crucial role in supporting the life cycle of health-related publications; specifically, our megajournal Medicine and its companion titles, and our 3rd party author and editorial service offerings. You will assist with getting these high-impact products to market by performing foundational tasks (including peer-review support) that ensure integrity and quality. Your work supports our mission to provide top-tier health information to professionals and consumers, making a meaningful impact on public health outcomes. RESPONSIBLITIES • Assist the Medicine Publisher with recruiting and onboarding new editors as needed • Support the Peer-Review process of Medicine including identifying and addressing articles requiring attention • Aid in the coordination and execution of editorial tasks • Manage certificates, letters and annual recognition emails for reviewers and editors as requested • Become proficient in the administrative tool for the electronic journals platform (eJP) and be responsible for basic site maintenance and for making necessary changes on journal sites  • Assist in the preparation and formatting of health-related content for various publishing platforms. • Support the acquisition of initial requirements and background information for new publications and digital products. • Support 3rd party author and editorial services program by communicating services to the Publishing team, handling journal sign-ups to the service and act a first point of contact for the vendor. • Maintain organized records of document versions and revisions. • Conduct basic market research to support the development of new health publications. • Help prepare digital content for upload to online platforms. • Collaborate with cross-functional teams to ensure timely publication schedules. • Assist in the creation of marketing materials to promote new publications. • Monitor and report on customer feedback to improve content quality. • Provide general administrative support to the publishing team.   QUALIFICATIONS   Education: BA or BS; or equivalent experience.   Experience: 1+ year experience in an Academic Publishing or Editorial role.   What we’re looking for: • Basic Content Management: Knowledge of article submission systems and of content preparation and formatting. • Knowledge of academic publishing and the peer-review process • Organizational Skills: Capability to maintain extensive records and files. • Market Research: Basic knowledge of conducting and documenting research. • Digital Publishing Tools: Familiarity with content management systems and basic digital tools. • Team Collaboration: Ability to work effectively within a team. • Administrative Skills: General capability in supporting administrative tasks. • Customer Feedback Monitoring: Ability to track and report feedback for content improvement. TRAVEL: #LI-Hybrid Compensation: $40,500.00 - $69,150.00 USD Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

Role Description - Solve complex multimodal problems related to physics. - Evaluate and improve AI model performance in the context of physics. - Collaborate with AI research teams to enhance model outputs. - Develop and implement strategies for model training and evaluation. - Work independently and asynchronously to meet project deadlines. Qualifications - Strong background in physics. - Experience with AI model training and evaluation. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Role Description The HBA Eligibility and Research Associate position is a member of the Post-Pay Eligibility & Research group within the Hospital Bill Audit (HBA) team and supports our auditors and audit process. The primary responsibility of the role is to perform pre-audit and post-audit analysis and research of claims and client contract information to determine eligibility of client claims for HBA audits and overpayment calculations. This position is full time, Monday - Friday. Employees are required to have flexibility to work any of our 8-hour shift schedules during our normal business hours of 8:00 am - 5:00 pm local time. It may be necessary, given the business need, to work occasional overtime. We offer 4 weeks of paid on-the-job training and the hours during training will be 8:00 am - 5:00 pm local time, Monday - Friday. Primary Responsibilities: - Utilize payer claim systems, where applicable, to review and analyze claims to verify eligibility for HBA audit including determination and updating of the payment methodology, exclusions, and non-covered charges in Optum systems. - Utilize payer claim systems to review contracts between clients and providers to identify contractual rates and guidelines to determine payment accuracy. - Determine overpayment calculation and refund due from provider. - Document outcome of payment analysis and research in appropriate Optum and client payer systems; approve or reject claims for audit based on analysis/research. - Complete annual client compliance training and maintain access to client systems. - Research and respond to operational inquiries. - Provide feedback on ineligible claims where needed. - Other duties as assigned. Qualifications - High School Diploma / GED. - Must be 18 years of age OR older. - 1+ years of experience in medical claims processing / billing / collections and / or contract analysis. - Understanding of payment methodology and the ability to calculate correct payment amounts for claims including, but not limited to percent of charge, stop loss, DRG, per diem, case rate. - Understanding of relevant privacy regulations (e.g., HIPAA). - Proficient computer skills including Microsoft Office suite; Microsoft Word, Microsoft Excel, and Microsoft Outlook. - Ability to work full time, Monday - Friday. Employees are required to have flexibility to work any of our 8-hour shift schedules during our normal business hours of 8:00 am - 5:00 pm local time. It may be necessary, given the business need, to work occasional overtime. Requirements - Reside within Mainland USA. - Ability to keep all company sensitive documents secure (if applicable). - Required to have a dedicated work area established that is separated from other living areas and provides information privacy. - Must live in a location that can receive a UnitedHealth Group approved high-speed internet connection or leverage an existing high-speed internet service. Soft Skills - Attention to detail, organizational, problem solving and time management skills with flexibility to adjust to changing priorities. - Math skills; proficiency in the ability to apply proper payment methodologies and calculate payments. - Effective oral and written communication skills plus the ability to develop effective relationships with our internal and external customers. - Must be self-directed and able to prioritize own work; work with Specialists for more complex inquiries. - Confidence in ability to make decisions and support those decisions; work with senior team members on more complex evaluations. - Ability to learn to interpret client-provider contracts and extract necessary information to support the audit process. - Ability to learn and apply applicable federal, state, and local compliance regulations. Benefits - Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. - In addition to your salary, we offer benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). - The hourly pay for this role will range from $17.98 - $32.12 per hour based on full-time employment. Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.