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A leading technology company is seeking a Machine Learning Engineer to join their Knowledge Quality Team in Seattle. This role involves designing and developing innovative machine learning solutions to enhance Siri and other features. The ideal candidate will have proficiency in Python and experience with large data sets and machine learning frameworks. You'll have the opportunity to work with cross-functional teams and help redefine user experiences for millions across the globe. #J-18808-Ljbffr

**Weekly Hours:** 40 **Role Number:** 200*********** In Places, we don't sit back and let things happen, we make things happen, and we do this in service to all Apple employees and customers. Our team is a diverse and nimble group that manages Apple's retail stores, workplaces, and workplace services. We develop and manage Apple's global real estate portfolio, lead all related capital construction projects, provide outstanding facilities and site services, develop and lead sustainability initiatives to reduce the environmental impact of all Apple facilities, including commute and renewable energy programs, and do everything we can to ensure the health and safety of all Apple personnel, facilities, and customers in our facilities around the world. We are seeking a dynamic and results-oriented Facilities Operations Supervisor to lead the efficient operation of our facilities, optimize operational processes, and cultivate a safe, clean, and productive environment. **Description** As a Facilities Operations Supervisor, you will lead a Facilities Operations team, including janitorial functions, drive the implementation of operational strategies, and foster cross-functional excellence. This role demands strong leadership capabilities, expertise in operations, and a customer-centric approach to service delivery. **Minimum Qualifications** + 5 years of supervisory experience with a proven track record of motivating, mentoring, and developing a team + 3 years of experience in Facilities, Business Operations, or related functions. + Experience with (Union) Janitorial oversight + Experience with Integrated Workplace Management Systems (IWMS). **Preferred Qualifications** + Experience in financial planning and budgeting, with the ability to develop and manage budgets effectively. + Bachelor's degree in Business Administration, Finance, or a related field. + Facilities Management certification (e.g., IFMA). + Strong analytical and process improvement skills, with the ability to identify and implement solutions to complex operational challenges; Experience with operational software and analytics tools. + Solid budgeting and financial management skills, including experience managing budgets and controlling costs. + Demonstrated success in process optimization and change management, with the ability to drive adoption of new technologies and processes. + A collaborative and team-oriented approach, with the ability to build strong relationships and work effectively with others. + Proven ability to manage multiple projects, priorities, and people concurrently in a fast-paced, high-growth, and results-driven environment. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (*********************************************************************************************** .

Application deadline: Jan 26, 2026 The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team ABOUT AWS: Diverse Experiences Amazon 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. 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 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 and 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. AWS Global Services AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Basic Qualifications - 3+ years of cloud architecture and solution implementation experience - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience implementing AWS services in a variety of distributed computing environments Preferred Qualifications - 5+ years of IT implementation experience - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience - Experience in performance optimization and cost management for cloud environments - Experience presenting technical solutions to diverse audiences in pre-sales environments 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. Pursuant to the San Francisco 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. The base salary range for this position is listed below. For salaried roles, your Amazon package will include listed sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ***************************************************** . Colorado $131,300 - $177,600 annually National $118,200 - $204,300 annually

AWS is seeking a Sales Operations Lead, to drive data-driven decision-making and operational excellence for the Global Consulting Partner organization, focused on our Global Strategic Partners (GSP). This role is crucial in leading and scaling mission-critical frameworks, including goal setting, key initiatives, business reviews, and data analysis, to inform strategic recommendations in a rapidly growing, complex environment. Working closely with GSP leadership, the Sales Operations Lead develops, implements, and manages sales processes, systems, and metrics to help Partner Development Managers and those involved in the sales process increase revenue growth and customer acquisition. Analyzes sales performance data to identify growth opportunities and process improvements. Partners with stakeholders to drive day-to-day operational excellence through sales process management, performance analysis, technology support, business reviews, operational planning, and communicating actionable insights, both verbally and in writing, while fostering strong stakeholder relationships. As the AI-powered sales landscape continues to evolve, this role will be instrumental in leveraging the latest artificial intelligence and machine learning technologies to enhance sales processes and decision-making. The Sales Operations Lead will work closely with GSP leadership and cross-functional teams to responsibly implement and optimize AI-driven tools and workflows that augment the sales organization's productivity and effectiveness. Key job responsibilities 1. Documents and implements standardized sales processes and metrics, including KPI definitions and goal cascades, to support operational effectiveness. 2. Develops and manages pipeline qualification, attribution, to ensure proper distribution, and resolves attribution escalations to ensure accurate financial reporting. 3. Orchestrates AI-human collaboration in the sales process, and manages and optimizes AI sales intelligence tools and automated customer/partner interaction systems 4. Maintains sales tools data quality to ensure accurate reporting and forecasting 5. Implements sales workflows and automation to streamline process and improve seller efficiency 6. Conducts sales performance analysis on win/loss data, conversion rates, goal attainment, and/or forecast accuracy to identify potential risks. 8. Prepares and drives regular business reviews with insights on pipeline health, performance trends, and operational efficiency. 9. Acts as primary point of contact to resolve stakeholders' requests and execute daily operational processes. 10. Leads sales tools training and adoption initiatives to improve utilization and productivity. 11. Leads cross-functional projects to improve sales efficiency and processes. 12. Drives escalations, gap-to-green, and/or other issues to resolution. About the team About AWS 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. 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 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. 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. Basic Qualifications - 7+ years of sales operations or equivalent experience - Experience defining, refining and implementing sales processes, procedures and policies or equivalent - Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations - Experience presenting to senior leadership Preferred Qualifications - Experience working within a high-growth, technology company - Bachelor's degree or equivalent, or experience using data and analytics to drive sales strategy and results - Experience using data and analytics to drive sales strategy and results - Understanding of AI capabilities and limitations in sales contexts - Experience in prompt engineering and working with large language models 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, CA, Mountain View - 147,300.00 - 199,300.00 USD annually USA, NY, New York - 147,300.00 - 199,300.00 USD annually USA, TX, Austin - 133,900.00 - 181,200.00 USD annually USA, WA, Seattle - 133,900.00 - 181,200.00 USD annually

A leading AI solutions company is seeking a Sales Director to own and expand relationships with major enterprise accounts. This high-impact role involves driving complex sales cycles and collaborating with leadership to deliver tailored solutions. The ideal candidate has 5+ years in enterprise SaaS sales, strong negotiation skills, and a proven track record of closing significant deals. Enjoy competitive compensation and comprehensive benefits while working in a fast-paced environment focused on transformational change. #J-18808-Ljbffr

Meet The Team Cisco Webex is the world's #1 business collaboration and customer engagement platform. It is used across all industries in the world being used to support governments, business, education, and more, including use by 85% of Fortune 500 business. The workplace of the future will be powered by AI, and we, Collaboration AI, is the team responsible for building AI/ML intelligent experiences within Cisco's Webex portfolio. The team is made up of multiple major AI fronts to enrich the collaboration use cases. This, in the order of processing pipeline, includes audio codec technologies, automatic speech recognition (ASR), text-to-speech (TTS), natural language processing (NLP) using and training LLMs and beyond, and gen‑AI evaluation methodologies, both metric-based and subjective testing. In addition, videos are empowered via computer vision (CV) and additional contextual information by employee graphs, and much more. We aim to build the next-generation AI solutions in collaboration software, devices, and APIs - from digitizing the in‑meeting, enhancing distributed team efficiency and improving all aspects of people connection. Your Impact In this role, you will be responsible for conducting applied NLP research to advance our Language AI features. This includes, but not limited to, hierarchical summarization, internationalization, evaluation of generated texts, human alignment, and more fundamentally, a crucial set of techniques that can utilize the existing pre‑/mid‑/post‑trained LLM model checkpoints to the best extent, by, for instance, fine‑tuning, adaptation, model surgery/editing, and reinforcement learning to customize models for the business need, for cloud, on‑prem, and on‑device deployment. Your duties will include innovating and employing cutting‑edge technologies with the consideration of practical product launch, which concerns optimization of performance, scalability, safety, reliability, and measurable generation quality. Staying up to date with the latest advancements in AI and machine learning (ML) is expected, as is suggesting how new technologies might be implemented. Addressing and resolving any modeling issues that arise from product applications will be an integral part of your responsibilities: Advance Collaboration AI's Language AI capabilities by researching, prototyping, and implementing next‑generation LLM technologies Conduct rigorous applied NLP research following systematic methodology: establish benchmarks, evaluate baselines, perform ablation studies, and deliver actionable recommendations Develop and evaluate NLP models that address specific business requirements Balance technical trade‑offs (performance, latency, cost, quality) to determine optimal production solutions Collaborate with product managers and stakeholders to translate research into production features Write production‑ready code with appropriate testing, documentation, and deployment considerations Pursue publication opportunities at top‑tier NLP and ML conferences Minimum Qualifications Recent graduate or in your final year of studies toward a PhD, or Master's degree with 3+ years of post‑graduation work experience in related fields. Relevant fields include Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related STEM program Strong foundation in machine learning and natural language processing, including familiarity with transformer architectures, common training schemes, and evaluation methodologies Proficiency in Python and experience with at least one deep learning framework Demonstrated NLP or ML research experience through publications, technical reports, thesis work, or significant contributions to related projects Preferred Qualifications At least one NLP or ML research paper published in a top‑tier conference, such as ACL, EMNLP, ICLR, ICML, NeurIPS, etc. Experience in using cloud services such as AWS, Google Cloud Platform, and Azure, for model training and deployment. Experience writing production‑quality Python code including testing, documentation, and code review practices Familiar with LLM benchmarking methods and experience analyzing benchmark datasets Experience collaborating with cross‑functional teams to deliver production ML solutions Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees 1 paid day off for employee's birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non‑exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $181,000.00 - $270,300.00 Non‑Metro New York state & Washington state: $165,300.00 - $240,600.00 For quota‑based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off program to meet local requirements. Cisco is an affirmative action and equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status or any other legally protected basis. Cisco will consider for employment, on a case‑by‑case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr

LanceSoft is seeking a travel nurse RN CVOR for a travel nursing job in Everett, Washington. Job Description & Requirements Specialty: CVOR Discipline: RN 40 hours per week Shift: 10 hours, days Employment Type: Travel Years of Experience Required: 2 years Certs Required: BLS. Preferred: ACLS, PALS, TNCC, CNOR Unit Information: CABG, AVR, AAA, MVR, Carotid Cutdown, VATS, RATS, Mediastinoscopy, Pericardial Windows, Tamponade, Minimally invasive cardiac procedures. About LanceSoft Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities. Benefits • Weekly pay • Medical benefits

A leading travel technology company is looking for a Principal User Experience Designer to create exceptional AI-driven user experiences. You will translate complex strategies into visually impactful designs and prototypes while collaborating with cross-functional teams to elevate design standards. The ideal candidate will have strong visual design skills, a deep understanding of AI tools, and over 8 years of experience in related fields. This position offers a competitive salary range based on location, with significant growth potential. #J-18808-Ljbffr

A leading tech company in Seattle is looking for an On-Device Machine Learning Integration Engineer. This role involves collaborating with ML engineers and data scientists to integrate advanced computer vision technologies into Apple devices. Candidates should possess a Bachelor's degree in Computer Science combined with programming expertise in Python, Swift, and C++. Experience with the machine learning lifecycle and knowledge of technologies like PyTorch is also essential. Attractive compensation and benefits are offered. #J-18808-Ljbffr

A leading technology company in Seattle seeks an experienced Machine Learning Engineer to develop and deploy cutting-edge AI models. This role emphasizes building robust ML infrastructure and automating pipelines for data and model management. Ideal candidates will have over four years of experience in machine learning and proficiency in programming languages like Java or Python. The position offers a competitive salary, comprehensive benefits, and opportunities for professional growth. #J-18808-Ljbffr

Step into a high-paying outpatient neurology role in Federal Way, WA with no nights, no weekends, and no call. We re seeking a local BC/BE Neurologist to provide general neurology coverage during a physician s FMLA leave. This is a clinic-based, low-volume role perfect for a seasoned or semi-retired neurologist looking to stay sharp without the hospital hustle. Must live locally; mileage reimbursed. Assignment Schedule Onsite Orientation: Primary: October Alternate (if credentialed early): September Clinic Dates: Sep 29 Oct 3 Oct 6 10 Oct Oct Nov 3 7 Nov Dec 8 12 Dec Dec 29 Jan 2 Jan Jan Shift Hours: Monday Friday 8:00 AM 4:30 PM Call: None Compensation Hourly Rate: $305/hr Orientation: Paid Holiday Rate: Additionally paid Malpractice: Fully covered Travel: Mileage reimbursement only (local candidates only) Job Details Setting: Outpatient Clinic Patients per Day: 10 Case Types: General Neurology (no procedures) EMR: Cerner Support Staff: Yes Reason for Coverage: FMLA Requirements Board Certified/Board Eligible in Neurology Required Residency/Fellowship Training Required Active WA License or IMLC Required DEA & BLS Required for credentialing Must live locally mileage only Why Federal Way? Nestled between Seattle and Tacoma, Federal Way offers easy commutes, a peaceful clinic environment, and access to coastal trails and Puget Sound all while earning top-tier locum pay with no on-call responsibility. Ready to earn $305/hr and work a no-call outpatient schedule in a low-volume neurology clinic? Apply now this local-only role won t last long!

A leading tech company in Seattle is looking for an innovative NLP researcher to advance its AI features in collaboration software. The ideal candidate will work on cutting-edge NLP research and technologies, aiming to optimize performance and scalability, while collaborating with product managers to implement features. Candidates are expected to have a strong educational background in computer science or related fields. This position offers competitive salary and comprehensive benefits. #J-18808-Ljbffr

A leading technology company in Seattle seeks an Embedded Machine Learning Engineer to innovate in AI and hardware integration. You will design efficient ML models for robotics applications, collaborating with cross-functional teams to ensure optimal performance and user experiences. Required qualifications include experience in C/C++, ML optimization, and a relevant degree. This role offers competitive compensation and benefits, as well as opportunities for growth and development. #J-18808-Ljbffr

Current openings at Nextiva Redefine the future of customer experiences. One conversation at a time. At Nextiva, we're reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation. Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it's through our signature Amazing Service, the technology we create, or the experiences we cultivate, connection is at the core of who we are. If you're ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong. Build Amazing. Deliver Amazing. Live Amazing. Be Amazing. Create a Job Alert Level-up your career by having opportunities at Nextiva sent directly to your inbox. Create alert Search Department Select... Office Select... 24 jobs Product Marketing Job Product Marketing Manager New Scottsdale, Arizona (In Office) Experience Cloud Job Engineering Manager Chennai, Tamil Nadu (Hybrid) Principal Product Manager (QM / WFM) Chennai, Tamil Nadu (Hybrid) Intelligence Job AI Software Engineer Chennai, Tamil Nadu (Hybrid) Director, Product Management (AI Search / Agent Assist) Chennai, Tamil Nadu (Hybrid) Director, Product Management (AI Search / Agent Assist) Bangalore, Karnataka (Hybrid) Engineering Manager (AI Agents Team) Canada (Remote) Engineering Manager (AI Agents Team) United States (Remote) Senior Product Manager (AI Agents) United States (Remote) Senior Product Manager (AI Agents) Canada (Remote) Software Engineer (AI / NLP / ML) Chennai, Tamil Nadu (Hybrid) Partner Ecosystem & Verticals Job Engineering Manager (Full Stack) Bangalore, Karnataka (Hybrid) Senior Technical Product Manager (Healthcare) United States (Remote) Product Development Job Senior Voice & Video Platform DSP Engineer Chennai, Tamil Nadu (Hybrid) Senior Voice & Video Platform DSP Engineer Bangalore, Karnataka (Hybrid) Senior Voice & Video Platform Software Engineer Chennai, Tamil Nadu (Hybrid) Senior Voice & Video Platform Software Engineer Bangalore, Karnataka (Hybrid) Technology (General) Job Hardware Validation Engineer I Scottsdale, Arizona (In Office) Senior Site Reliability Engineer (Middleware) Chennai, Tamil Nadu (Hybrid) Senior Site Reliability Engineer (Middleware) Bangalore, Karnataka (Hybrid) Channel / Partner Sales Job CX Partner Manager United States (Remote) Commercial Sales Job Commercial Account Executive Scottsdale, Arizona (In Office) Customer Expansion (Up-Market) Job CX AssociateNew United States (Remote) Security Job Information Security Auditor Bangalore, Karnataka (Hybrid); Chennai, Tamil Nadu (Hybrid)

Seattle, Washington, United States Machine Learning and AI The System Intelligence Machine Learning (SIML) organization is looking for Research Engineers with a strong foundation in Machine Learning and Computer Vision to develop the next generation of multi-modal Human Sensing technologies. You will be part of a fast-paced, impact-driven Applied Research organization building foundation models for facial and full-body perception, and working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, etc. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day! Description As a Machine Learning Research Engineer, you will be responsible for designing and developing cutting-edge AI/ML models for Human Sensing, with a focus on building robust cross-domain identity recognition systems. Multi‑modal Human Sensing is a foundational capability that powers intelligent experiences based on key human traits such as identity, expression, clothing, action, gesture, gaze and human‑object interaction. Major Apple Intelligence experiences such as personalized Natural Language Search, Memories Creation, as well as personalized Image Generation are powered by our ability to learn robust representations of visual human traits. Efficient real‑time visual human sensing powers flagship Photography experiences such as Cinematic mode and Photographic Styles, communication experiences such as Center Stage, and paves the way for more natural human‑device interactions, e.g., with the DockKit framework. YOUR PRIMARY RESPONSIBILITIES WILL INCLUDE: Designing, implementing, and deploying state‑of‑the‑art visual recognition systems. Building foundation models for facial and full‑body perception. Driving data quality excellence through strategic dataset curation, validation, and generation to support world‑class model development. Building tools and frameworks for systematic failure analysis, identifying edge cases, and driving continuous model improvement. Directly interacting with all cross‑functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development. Effectively communicating results and insights to partners and senior leaders, providing clear and actionable recommendations. Staying current with the latest trends, technologies, and standard methodologies in machine learning, multi‑modal foundation models, computer vision and natural language understanding. Actively contributing to Apple's ML community by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners. Minimum Qualifications Master's or Ph.D. in Computer Science, Computer Engineering, or related fields; or equivalent professional experience in ML research and development. Proficient in Python, PyTorch or equivalent deep learning frameworks. Proven track record of designing and implementing solutions using modern ML architectures. Background in research and innovation, demonstrated through publications in top‑tier journals or conferences, patents, or impactful software developments. Preferred Qualifications Expert‑level knowledge of state‑of‑the‑art methods in face recognition or other facial analysis and biometric systems. Hands‑on experience training multi‑modal large language models. Experience with on‑device ML, model optimization, or production ML systems. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

LanceSoft is seeking a travel nurse RN NICU - Neonatal Intensive Care for a travel nursing job in Seattle, Washington. Job Description & Requirements Specialty: NICU - Neonatal Intensive Care Discipline: RN Start Date: Duration: 13 weeks 36 hours per week Shift: 12 hours, nights Employment Type: Travel Minimum of Level III NICU for at least 3 years or 2 year at Level IV NICU experience required. BLS, NRP required. About LanceSoft Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities. Benefits • Weekly pay • Medical benefits

A tech-focused organization is looking for a Forward Deployed Engineer to lead complex AI deployments with government clients. You will be responsible for managing technical delivery, embedding within client teams, and utilizing advanced AI technologies to solve critical challenges. Ideal candidates will have 5+ years of experience in engineering, a TS/SCI clearance, and a strong ability to communicate effectively while navigating fast-paced environments. This position allows for hybrid work with significant travel requirements. #J-18808-Ljbffr

A leading technology firm in Seattle is looking for a Principal Member of Technical Staff to support system design, debug and engage with customers on their AMD Instinct™ product line. This role involves leading hands-on validation efforts, optimizing Rack-Scale AI solutions, and influencing product roadmaps. The ideal candidate will have extensive experience in system architecture and debugging, along with relevant academic credentials. The position offers opportunities to mentor and drive technical excellence in a collaborative team environment. #J-18808-Ljbffr

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next‑generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE AMD's Data Center Platform Engineering Group (DPEG) is designing, developing, and delivering innovative technology infrastructure enabling the digital world. We create cloud‑enabling server/rack solutions that help the world's leading companies turn their ideas into reality. Our customers are future‑focused and so are we, always a step ahead of the next challenge. As experts in engineering, manufacturing, and supply chain, we're the bridge between problem and solution for the world's leading OEM & ODM partners and cloud services providers. Our customers depend on us to solve their most complex server/rack design needs. Come and join our Data Center Platform Engineering Group where we are building amazing, powered products with amazing people. AMD is searching for a dynamic and experienced Principal Member of Technical Staff to own system design support, rack‑level bring‑up, and critical customer engagement for our cutting‑edge AMD Instinct™ product line. In this high‑visibility role, you will act as the technical bridge between AMD's internal system architects, platform development teams, and our OEM partners. You will not only influence the design and architecture of AI solutions but also lead hands‑on debug and validation efforts at customer locations. As a technical leader, you will drive engineering, root cause analysis, and influence future roadmap stories based on field execution. KEY RESPONSIBILITIES System Architecture & Design Support Solution Optimization: Partner deeply with customers to architect and optimize Rack‑Scale AI solution deployments using AMD Instinct GPUs. Design Reviews: Provide support of design reviews for customer platform/rack designs; proactively flag areas for modification to improve quality, performance and competitive advantage. Bring‑Up, Debug & Validation Documentation & Best Practices: Deliver comprehensive technical documentation, best practices, and reference architectures to streamline the adoption and deployment of AMD AI platforms. Hands‑on Engineering: Drive hands‑on rack, platform, and component‑level debug and validation. This includes complex stress testing, issue reproductions, and deep‑dive root cause analysis. Issue Resolution: Lead customer issue resolution efforts, gathering diagnostics, managing critical escalations, and driving long‑term process improvements to ensure customer success. System Firmware Debug & Deployment: Lead debug efforts for system firmware (BIOS, BMC) during initial bring‑up and large‑scale deployment phases. Ensure seamless integration between hardware, firmware, and software stacks, and resolve interaction issues in customer environments. End‑Customer Debug & Sustaining: Own the technical support interface for end customers, provide high‑level engineering for deployed fleets. Leadership & Strategy Cross‑Functional Alignment: Represent debug progress, technical insights, and status with clarity and impact at the leadership level, ensuring alignment and accountability across cross‑functional teams. Roadmap Influence: Provide regular, detailed technical feedback from the field to directly influence AMD's software and hardware roadmaps. Future Architecture: Drive future product architecture decisions by leveraging unique insights gained from deep customer execution engagement. Mentorship: Build a culture of ownership, accountability, and technical excellence within the team, while actively mentoring senior engineers and emerging technical leaders. PREFERRED EXPERIENCE Advanced experience in system architecture, hardware/firmware debug, and customer‑facing engineering roles (HPC or AI/ML focus preferred). Deep understanding of Server/Rack system architecture (x86, GPU, PCIe, Interconnects). Strong proficiency in System Firmware (BIOS/UEFI, BMC/OpenBMC) debug, update flows, and deployment strategies. Experience with system bring‑up and debugging tools (oscilloscopes, logic analyzers, ITP, JTAG). Knowledge of power delivery, thermal management, and mechanical form factors in datacenter environments. Leadership: Proven track record of leading technical teams through complex problem‑solving scenarios and interacting with executive leadership. Travel: Ability to travel to customer, factory and company locations. ACADEMIC CREDENTIALS Bachelors, Masters, or PhD in Electrical Engineering, Computer Engineering, or Computer Science. LOCATIONS Seattle, WA.; Austin, TX.; Secaucus, NJ.; Santa Clara, CA. This role does not support visa sponsorship. #LI-CB1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee‑based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's “Responsible AI Policy” is available here. This posting is for an existing vacancy. #J-18808-Ljbffr