PartnerHero jobs in Boise, ID - 13512 jobs

Giga builds AI agents trusted by the world's leading B2C companies. Industry leaders like DoorDash rely on Giga to automate their most complex support and operations workflows across voice, chat, and email. Our mission is to help enterprises deliver faster, smarter, and more human customer experiences at scale - powered by AI that actually works in production. We operate with speed, precision, and a deep sense of ownership. Backed by top-tier investors and operators, Giga is scaling rapidly across some of the most recognizable consumer brands in the world. About the Role We're looking for a Sales Director to own and expand relationships with Giga's largest and most important enterprise accounts. You'll drive complex, multi-stakeholder sales cycles across Fortune 1000 organizations - leading with insight, partnership, and a deep understanding of the customer's business. You'll collaborate directly with Giga's leadership, product, and engineering teams to shape custom solutions and unlock expansion opportunities within existing accounts and large-scale pilots. This is a foundational, high-impact role for someone eager to drive transformational change inside the world's biggest brands. What You'll Do Own strategic relationships: Develop deep, trusted partnerships with executive stakeholders across CX, Operations, and Product teams. Drive growth across key logos: Lead expansion within our largest customers and convert POCs into multi-year, multi-million-dollar partnerships. Lead complex deal cycles: Manage enterprise negotiations, coordinate technical validation, and align stakeholders from first meeting through close. Develop account strategy: Build and execute tailored account plans to deepen engagement and expand into new lines of business. Collaborate cross-functionally: Partner with founders, engineering, and deployment teams to deliver customized, high-value solutions. Influence Giga's roadmap: Bring customer insights directly into our product and strategy discussions to shape future capabilities. Who You Are Experienced enterprise seller: 5+ years in strategic or enterprise SaaS sales with a strong record of closing and expanding 6 or 7-figure deals. Trusted partner: Skilled at navigating large, complex organizations and building executive-level relationships. Builder mindset: Thrives in early-stage, fast-paced environments where process and playbooks are still being written. Collaborative communicator: Clear, thoughtful, and able to align internal and external teams around shared outcomes. Nice to Have Experience selling AI, automation, or CX transformation solutions. Familiarity with large-scale deployments in telecom, logistics, or e-commerce sectors. Early GTM or founding sales experience at a fast-growing startup. Compensation & Benefits Competitive base + commission + equity Full health, dental, and vision coverage Daily lunches, snacks, and coffee Gym membership and Uber rides home after late work Why Giga At Giga, you'll sell one of the most advanced enterprise AI platforms on the market - to the world's most recognized consumer brands. You'll be joining a team that moves fast, builds fearlessly, and values people who take ownership and drive impact. If you're motivated by closing transformative deals and partnering with global enterprises to redefine how they serve their customers, this is your opportunity to make it happen. #J-18808-Ljbffr

Job Title: Patient Services Representative Contract: 04+ months possible contract to hire Shift: 08:00 AM - 05:00 PM (Monday to Friday) Hours Per week: 40 hours per week. About the Role We are seeking a highly motivated and compassionate Patient Services Representative to join our team. In this role, you will serve as the first point of contact for patients and play a key part in ensuring a seamless and positive patient experience. You will support administrative operations, assist with scheduling and outreach, and collaborate closely with clinical teams to maintain efficient workflows. Primary Responsibilities Manage patient check-in and check-out processes, including insurance verification, collection of co‑pays, and documentation review. Greet and assist patients in person and via phone with professionalism, empathy, and a customer‑first mindset. Conduct patient outreach calls for appointment scheduling, preventive care visits, and care‑plan follow-ups. Schedule, confirm, and reschedule appointments while maintaining accuracy in patient records. Meet established outreach, scheduling, and preventive care quality targets. Serve as a primary resource to resolve patient questions, concerns, or administrative issues. Ensure compliance with HIPAA and all applicable healthcare privacy and confidentiality regulations. Coordinate with clinical teams to maintain smooth patient flow and operational efficiency. Maintain and update patient information in Electronic Health Record (EHR) systems. Assist with onboarding and training of new patient service team members. Support operational improvement efforts, including generating routine reports and contributing to process enhancements. Qualifications High school diploma or equivalent required. 2+ years of customer service experience highly preferred. Experience in an outpatient clinic or healthcare environment preferred. Skills & Competencies Exceptional verbal and written communication skills. Strong interpersonal skills with a patient‑centered focus. Excellent organizational skills and high attention to detail. Ability to multitask effectively in a fast‑paced setting. Strong problem-solving and conflict-resolution abilities. Proficiency in Microsoft Office Suite. Ability to work both independently and as part of a collaborative team. Knowledge of insurance verification, medical terminology, and EHR system.

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 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

- Integrates program, customer, product and in-service strategies into source selection, negotiation and contracting strategies. - Negotiates pricing and contract terms and conditions. - Prepares and executes negotiated contractual documents and binding agreements. - Conducts risk, issues and opportunities management. - Manages supply and demand, schedules, supplier quality, delivery and financial performance. - Initiates and executes supplier improvement activities and integrates results into contracting strategies. Day to day: - In this role you will be supporting Materials & Standards. - You will play a key role in ensuring that our supply chain organization is efficient, effective, and aligned with the overall goals of the organization Requirements: 1. 5+ years of experience of Materials and Standards experience Education / Experience: Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 6 or more years' related work experience or an equivalent combination of education and experience (e.g. Master+4 years' related work experience, 10 years' related work experience, etc.).

About the Company Annotators to assist with multiple annotation projects. In this role, you will be labeling, summarizing, and/or evaluating text data for projects on the Machine Learning team. About the Role The ideal candidate is someone who is Business-level Dutch language skills and English. This is a six-month contract with the potential to extend. All Annotators must reside in the United States. Responsibilities Label data sets for accuracy according to established guidelines in Dutch and/or English. Identify and escalate any Personally Identifiable Data (PII) that could compromise the data. Communicate with management, project leads and team members in English. Qualifications Business-level Dutch language skills Business-level English language skills. Required Skills Previous annotation experience, both in the target language and English. Ability to effectively and efficiently manage time-in-task. Meet and/or exceed deadlines. Effectively manage time-in-task. Basic computer skills. Data entry experience. Ability to recognize and annotate PII information in the target language and in English. Basic spreadsheet capabilities. Ability to communicate effectively in English. Familiarity with the use of Slack and other modes of communication. At ease requesting clarification or communicating observed convention gaps and/or ambiguities. Project issues, schedule changes, etc. Familiarity with and competencies in various annotation tooling. Pay range and compensation package 25.00 USD Per Hour Equal Opportunity Statement We are committed to diversity and inclusivity.

A leading technology company in Seattle is seeking a Large Machine Learning Model Optimization Engineer. You will drive the development of on-device ML models, collaborate across teams, and implement optimization techniques for performance improvement. A BS degree and strong Python skills are required, alongside a passion for shipping machine learning models. The role offers a competitive salary ranging from $139,500 to $258,100, along with comprehensive benefits and stock options. #J-18808-Ljbffr

A leading global hedge fund in Seattle is seeking a Quantitative Developer to build critical trading infrastructure. You will collaborate with quantitative researchers and senior portfolio managers to optimize systems for trading strategies across global futures and equities. Candidates should have strong skills in React/Typescript and Python, paired with a Master's or PhD in a relevant field. This position offers significant career growth and impact in a dynamic environment. #J-18808-Ljbffr

Santa Clara, California, United States Machine Learning and AI Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you want to make Apple products more intelligent for our users? The Information Intelligence Infrastructure team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning. Our infrastructure is the back-bone of Apple Intelligence. It powers the largest Apple foundation models on servers and a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. Description Build the dataset intelligence layer behind Apple-scale foundation models: data mining, information extraction, dataset curation, and evaluation signal that helps models improve faster with less compute. You'll operate at petabyte/trillion-record scale and partner directly with foundation model researchers to turn model failures into targeted data interventions. form the backbone of Apple's search and foundation model platforms. As part of this team, you will own services, pipeline end-to-end-from initial design and architecture, through implementation, deployment, and long-term operation. You'll collaborate closely with Foundation Model research teams to optimize for cutting-edge model quality improvements. Responsibilities Design scalable data mining + information extraction systems over trillions of records to produce training corpora and high-signal subsets. Build data quality loops - automatic filtering, algorithmic selection, and apply strategies tied to model evaluation outcomes. Partner with Foundation model research to curate datasets for new architectures; ship production solutions powering real products. Design, build, and operate large-scale distributed services that power Apple's search and foundation model platforms. Build and evolve petabyte-scale data pipelines and feature pipelines and serve models. Define and uphold SLAs for critical services & pipelines , driving reliability, performance, capacity planning for billions of daily requests. Collaborate with cross-functional partners (research, engineering, program management, privacy, security) to design solutions that meet user, business, and regulatory requirements. Improve the overall engineering quality bar through technical reviews, mentoring, documentation, and best practices in testing and observability. Minimum Qualifications PhD or MS in ML/CS or related with 10+ years of experience. Proficiency in at least one modern programming language Python, Go, or Scala, with a focus on writing robust, maintainable code. Proficiency in at least one popular ML framework such as PyTorch, TensorFlow, JAX and an understanding of how ML/AI systems are deployed in production. Familiarity with cloud - Kubernetes, GCP, AWS, Object stores. Excellent collaboration and communication skills; able to work independently and cross-functionally with research, product, and operations teams. Preferred Qualifications Experience with training-data curation, synthetic data strategies, or evaluation dataset filtering / subset selection. MLOps from research prototype → production. Familiarity with large-model serving/optimization stacks (TensorRT-LLM, vLLM, Triton) Experience with data-intensive systems (e.g., large-scale data pipelines, feature generation, Dataflow, Spark, Airflow, Dataflow). 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 $181,100 and $318,400, 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 to 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

A leading global engineering consultancy in Seattle is seeking a Principal or Senior Managing Consultant for their Product Safety and Stewardship team. The successful candidate will manage projects focused on chemical regulations and will engage with clients to ensure compliance with TSCA and CEPA. Ideal candidates should have over 12 years of experience in a chemical regulatory environment and an MS or PhD in a relevant field. The role offers diverse projects and a commitment to professional development. #J-18808-Ljbffr

Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and we know that when one of us wins, we all win. Principal User Experience Designer - AI Experiences Are you looking to be part of a world‑class enterprise design team dedicated to crafting incredible user experiences? Would you like to drive impactful work that helps millions of people see and enjoy more of the world? Are you passionate about solving hard problems and creating order out of uncertainty? Team Description We're a multidisciplinary design team shaping the future of travel through human‑centered, AI‑powered experiences. Our mission is to help travelers imagine, plan, book, and manage every part of their journey across Expedia Group's family of brands and platforms - with clarity, delight, and confidence. Business Impact This role drives measurable business impact by translating AI strategy into inspiring, customer‑centered experiences that increase engagement, conversion, and loyalty. Through visionary design and prototyping, it helps identify new revenue opportunities, streamline customer journeys, and improve operational efficiency. By defining the design standards for AI‑powered travel, this role advances both customer satisfaction and Expedia Group's competitive differentiation. In this role, you will: Translate strategic vision into high‑impact visual stories and prototypes that clarify, align, and accelerate the future of AI‑driven travel experiences across Expedia Group. Lead through making: use exceptional visual design and prototyping skills to rapidly explore, validate, and communicate ideas. Push the boundaries of AI and next‑generation interfaces, envisioning new paradigms for conversational, multimodal, and adaptive experiences. Design for agentic and mixed‑initiative interactions, crafting clear mental models and user feedback mechanisms for uncertain or probabilistic systems. Evolve Expedia's design system to support AI‑native patterns, adaptive layouts, and intelligent interaction logic. Integrate data‑informed design principles, ensuring that personalization, prediction, and automation are seamlessly expressed through the system. Create visual frameworks that promote accessibility, consistency, and trust across all surfaces and contexts. Evangelize the value of AI experience design within the organization-connecting creative ambition with practical outcomes. Foster a culture of open critique, inclusion, and curiosity where design excellence and learning coexist. Collaborate across disciplines to align on strategy, share insights, and collectively raise the quality bar for AI‑driven design. Champion the traveler's voice in every AI interaction, ensuring experiences remain transparent, empathetic, and empowering. Partner with research and data teams to understand behavioral patterns, context, and intent-translating insights into adaptive design strategies. Embed responsible AI design principles that prioritize fairness, explainability, and user trust. Exceptional visual and interaction design craft with fluency in prototyping tools and methods. Deep expertise in AI, conversational, and agentic experience design-including multimodal and adaptive paradigms. Strong foundation in data‑informed design, using metrics and behavioral signals to guide decisions. Proven ability to lead through influence, mentorship, and cross‑functional collaboration. Minimum qualifications 8+ years of relevant professional experience Bachelor's degree in Human‑Computer Interaction, User Experience Design, Cognitive Science, or related design or technical field; or equivalent related professional experience Demonstrated thought leadership and domain expertise in designing complex, AI‑driven systems and experiences. Mastery in visual design and prototyping and strong proficiency in UX design, system design, and motion design. Deep understanding of AI and conversational design tools and methods, including prototyping with LLMs, prompt engineering, data‑informed interaction design, and expert knowledge of modern design and prototyping platforms such as Figma. The total cash range for this position in Austin is $224,000.00 to $313,500.00. Employees in this role have the potential to increase their pay up to $358,500.00, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in New York is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Chicago is $208,000.00 to $291,500.00. Employees in this role have the potential to increase their pay up to $333,000.00. The total cash range for this position in Seattle is $224,000.00 to $313,500.00. Employees in this role have the potential to increase their pay up to $358,500.00. The total cash range for this position in San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Benefits We provide a full benefits package, including medical/dental/vision, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I‑9 to confirm work authorization. #J-18808-Ljbffr

A leading technology company in Seattle is seeking a Machine Learning Engineer to advance features in Apple products. The ideal candidate will have 1+ years of experience in machine learning, particularly in natural language processing and reinforcement learning. Responsibilities include developing RL technologies, collaborating with teams, and enhancing LLM capabilities. A master's or Ph.D. in a related field is preferred, along with a growth mindset and ability to adapt to new technologies. Competitive salary range is $139,500 to $258,100, along with extensive benefits. #J-18808-Ljbffr

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

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers-where model performance matters, delivery is urgent, and ambiguity is the default. You'll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you'll identify reusable patterns, codify best practices, and share field signal that influences OpenAI's roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will Own technical delivery across multiple government deployments, from first prototype to stable production. Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. Proactively guide customers on maximizing business and operational value from their applications. Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale. Scope work, sequence delivery, and remove blockers early-making trade-offs between scope, speed, and quality. Contribute directly in the code when clarity or momentum depends on it. Codify working patterns into tools, playbooks, or building blocks others can use. Share field feedback with Research and Product to influence model and product development. Keep teams moving through clarity, judgment, and consistent follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. Active TS/SCI clearance or equivalent Have scoped and delivered complex systems in fast-moving or ambiguous contexts. Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks. Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure. Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience. Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences. Spot risks early, adjust without slowing down, and model calm judgment when stakes are high. Are humble, collaborative, and eager to help others with empathy. Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff… Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

A leading technology company in Seattle, Washington is seeking a Machine Learning Engineer to join their Answers, Knowledge & Information team. The role involves shaping user experiences for products like Siri and requires strong skills in applied machine learning and software engineering. Candidates should have a BS in a relevant field and at least 5 years of experience. A competitive compensation package including stock options and benefits is offered. #J-18808-Ljbffr

Sr. Machine Learning Engineer - Recommendations & Personalization (Feature Engineering) Seattle, Washington, United States Machine Learning and AI The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple's high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple's unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, flexible FV ofien and multi‐functional, offering greater exposure to the array of opportunities here. Come join us to build large‑scale personalized recommender systems for Apps & Games, Video, Fitness+, Podcast and Books Recommendations. See your work touch the lives of billions of Apple users worldwide. Description In this role, you will be ATING pucationaling operationalizing machine learning models-from building real‑time and batch inference pipelines to optimizing system performance, reliability, and experimentation velocity. You'll help Auber gap between research and production by developing the infrastructure, tooling, and monitoring required to ship ML‑driven features safely and efficiently. If you are an engineer who enjoys scaling ML solutions, building production‑grade services, and driving experimentation across billions of users, this is your opportunity to make a meaningful impact. Responsibilities Partner with ML researchers and product teams to transition models into production, ensuring reliability, scalability, and low latency. Design and implement robust inference services using object‑oriented languages (e.g., Java, Scala, C++) that operate at scale across Apple platforms. Build and manage data pipelines and model execution frameworks to support both batch and streaming use cases. Develop tooling and infrastructure for model deployment, versioning, rollback, and online evaluation. Lead A/B testing efforts, including integration, metric tracking, experiment validation, and performance analysis. Collaborate with infrastructure teams to improve observability, alerting, and model health monitoring. Drive continuous improvement in latency, throughput, fault tolerance, and overall system reliability. Minimum Qualifications MS or PhD in Computer Science, Software Engineering, or related field. 8+ years of deep software engineering experience, with a strong background in building and deploying production machine learning systems. Experience in areas such as personalization, search, or recommendations is a plus. Experience with big data and stream processing frameworks like Spark, Flink, or Kafka. Proficiency in object‑oriented programming languages such as Java, Scala,ATIO EN GOL. Experience building and maintaining large‑scale distributed systems for ML workloads. Deep understanding of ML model deployment pipelines, runtime optimization, and system integration. Familiarity with A/B testing frameworks, experimental design, and online evaluation. Strong focus on system&_ reliability, latency, and observability in production environments. Preferred Qualifications Experience in batch and real‑time inference serving, including autoscaling and traffic management. Background in content recommendation systems, search ranking, or user engagement optimization. Experience with CI/CD workflows for ML systems, including safe model rollouts and shadow testing. Exposure to containerized deployments and orchestration (Kubernetes, Docker). Experience building and deploying production‑grade applications using LLMs, including expertise in prompt engineering, RAG pipelines, and framework orchestration. Proven track record of developing autonomous agents capable of multi‑step reasoning, external tool integration, and complex task decomposition to solve open‑ended problems. Prior experience working on consumer‑scale media products (apps, games, books, music, or video). 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 $302,200, 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 employeesivée eligible for discretionary restricted stock unit awards, and can purchase Apple stock at aসে 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-Compatible inclusive possible 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

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

A leading search AI company is looking for a Consulting Engineer - Search to help customers realize the value of their solutions. You will collaborate with various teams to deliver scalable architectures that enhance application performance and user experiences. The ideal candidate has over 5 years of experience in Enterprise Search technologies and excellent client interaction skills. This role is based in Seattle, WA, and offers flexible working arrangements. #J-18808-Ljbffr

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