Lead engineer jobs in Tacoma, WA - 4,903 jobs

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

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 global entertainment leader is looking for a Director of Core Player Engineering to oversee the cohesive media player strategy across various devices including mobile and web. The successful candidate will possess at least 12 years of experience in engineering with a strong focus on media playback technologies. This role focuses on innovation and strategic direction to improve user experience and ensure high-quality streaming globally. Competitive salary and benefits are included. #J-18808-Ljbffr

A leading social media platform in Palo Alto is looking for a Technical Lead Manager in Ads Conversion Modeling. This role includes leading the User Match Prediction roadmap, developing conversion models, and partnering with various teams to drive performance. Ideal candidates have a strong software engineering background, machine learning knowledge, and 6+ years of relevant experience. The position offers a competitive salary and hybrid work flexibility. #J-18808-Ljbffr

A leading travel technology company in Seattle is seeking a Machine Learning Engineer III to oversee projects and mentor junior engineers. You will develop and optimize software applications using machine learning methods, particularly with libraries like PyTorch and TensorFlow, while collaborating closely with cross-functional teams. This role requires at least 3 years of experience in machine learning pipelines, as well as a Bachelor's or Master's degree in a technical field. The position offers a competitive salary range of $146,000 to $204,500, with potential performance-based increases. #J-18808-Ljbffr

OCI (Oracle Cloud) AI Infrastructure Innovation team is seeking a Senior Principal Performance Engineer to lead end-to-end performance strategy and engineering across the full stack application services, runtimes, operating systems, network, storage, and underlying hardware. You will define architecture changes, establish rigorous methodologies and tooling, and drive deep-dive investigations that unlock meaningful gains in latency, throughput, efficiency, and cost. If you thrive at troubleshooting complex distributed environments, and mentoring teams to deliver measurable improvements, this role offers the opportunity to advance the state of the art. Qualifications Disclaimer Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Benefits Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Supplemental life insurance (Employee/Spouse/Child) Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 11 paid holidays Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC5 Responsibilities Lead the end-to-end performance architecture for critical services and platforms, setting strategy, standards, and best practices across applications, OS, network, storage, and hardware layers. Establish KPIs and benchmarking methodologies; build and maintain representative workloads and reproducible benchmarks. Drive systemic improvements to service and data-plane architectures. Design and build tooling for profiling, tracing, and telemetry with clear, actionable insights. Cross-organizational leadership to ensure performance is designed-in, observable, and consistent at scale. Mentor engineers, provide technical leadership and reviews, and influence multi-year roadmap and technical standards. QualificationsRequired: Expertise in systems performance across application, OS, network, storage, and hardware. Expertise in operating system and network stack internals (Linux kernels, scheduling, memory/IO subsystems, TCP/IP). Strong software engineering background with hands-on experience with performance profiling and observability. Ability to write and reason about performant code at a low level (e.g., C, raw sockets, CPU/vector instructions, memory/cache optimization). Familiarity with high-performance IO paths; understanding of cross-region networking and latency trade-offs. BS/MS in Computer Science, Electrical/Computer Engineering, or equivalent practical experience; proven technical leadership and mentoring. Preferred: Expertise in virtualization/containers. Java performance experience: JVM/JIT/GC internals, JFR/async-profiler, and benchmarking. Low-level engineering skills in one or more of C/C++/Rust/Go, with demonstrated ability to analyze instruction-level hotspots, memory/cache behavior, and concurrency. Database or storage performance specialization (query execution, indexing, IO path optimization). #J-18808-Ljbffr

A prominent digital innovation team is seeking a Junior Developer in Seattle to immerse yourself in a diverse technology ecosystem while developing cloud services. This temporary role may lead to a full-time position based on your performance. Candidates should have a bachelor's degree and 6 months of relevant experience. Key qualifications include proficiency in several programming languages, cloud services interest, and a collaborative spirit. Excellent benefits will be available upon full-time conversion. #J-18808-Ljbffr

A global travel technology company seeks a Machine Learning Engineer III in Seattle. You will design ML-powered features to enhance the traveler experience while collaborating with cross-functional teams. The ideal candidate has a Bachelor's or Master's in a technical field and expertise in programming, machine learning engineering, and cloud services. Benefits include competitive salary, travel perks, and professional development opportunities. #J-18808-Ljbffr

A leading tech company is looking for a Principal Machine Learning Engineer to join the Ad Marketplace team. The role involves driving the technical roadmap, designing scalable machine learning models, and collaborating with cross-functional teams to optimize ad delivery. Candidates should have significant experience in machine learning, strong programming skills, and a deep understanding of AI applications. This position offers an opportunity to impact how millions interact with technology in a diverse, inclusive work environment. #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 tech company in Seattle is looking for a Principal Machine Learning Engineer to enhance AI-powered contract intelligence solutions. The candidate should have over 10 years of experience in building machine learning products and at least 4 years in ML frameworks such as Pytorch and TensorFlow. This role offers a hybrid work environment promoting flexibility, teamwork, and professional growth, backed by comprehensive compensation and benefits. #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

A leading travel technology company in Seattle is seeking a Machine Learning Engineer III to design and scale intelligent systems for their global travel marketplace. You will collaborate with cross-functional teams to optimize real-time pricing and inventory and develop models that enhance trust across the service. The ideal candidate will have strong experience in software engineering and a passion for applying machine learning in complex systems. #J-18808-Ljbffr

A leading technology company is seeking a Principal Machine Learning Engineer to join their Content Relevance team. This role involves driving the ML technical roadmap and optimizing personalized video recommendation systems. The ideal candidate will have over 9 years of experience in machine learning, a strong understanding of ML and deep learning approaches, and the ability to lead complex technical initiatives. Excellent collaboration and mentorship skills are essential. The position is based in Seattle and adheres to a hybrid work model. #J-18808-Ljbffr

Meet the Team We are an agile team with a startup feel and a strong bias for action. We move fast, embrace failure as part of the process, and stay focused on solving real‑world problems for defenders on the front lines. Our team blends deep expertise in AI, cybersecurity, and platform engineering. We are driven by a shared belief that the only way to outpace hackers is through AI advancements that free up humans to tackle real threats and more challenging problems. This is a place for builders who thrive in ambiguity, challenge the status quo, and care deeply about making a meaningful impact. If you're energized by tough problems, excited to shape the future of cyber defense, and eager to work alongside passionate experts, you'll feel right at home. Your Impact Design and build agentic workflows that combine detection signals, context, and playbooks to automate threat triage and response. Prototype and test new AI features -from enrichment agents to incident summarization-working closely with security SMEs to validate real-world utility. Develop an AIOps pipeline to enable rapid experimentation with prompts, models, and RAG systems, using clear, measurable success criteria to evaluate iterations. Evaluate model outputs for accuracy, reliability, and usability, then prototype and deploy improvements based on structured feedback and testing. Collaborate with product and platform teams to co‑design AI‑enhanced TDIR workflows that are intuitive, scalable, and immediately useful to analysts. Contribute to the core architecture powering AI‑native security operations, helping to shape how Splunk and Cisco scale trusted automation across the enterprise. Minimum QualificationsSecurity: Security Operations Experience - Understanding of security operations concepts, including detection, triage, investigation, and response. Security Telemetry Fluency - Comfortable working with common data sources such as endpoint logs, network traffic, authentication events, or cloud audit trails-and understanding how they're used in detection and investigation workflows. Engineering Experience: Senior‑Level Python Development - Consistent record building scalable backend services, APIs, and automation workflows in Python. DevOps/SecOps Practices - Proficient with CI/CD pipelines, version control (GitHub/GitLab), Jira, and automated testing frameworks. Security Automation - Experience building and integrating with product APIs to drive SecOps efficiency. Cross‑Functional Collaboration - Comfortable partnering with product managers, security SMEs, and engineers to iterate quickly and deliver impactful solutions. AI/LLM: Prompt Engineering & LLM Integration - Skilled in crafting, testing, and optimizing prompts for large language models. Ideally, you have contributed to or shipped an AI‑powered feature or product, and understand the nuances of integrating LLMs into real‑world workflows-including usability, performance, and trust considerations. AI Evaluation & Experimentation - Capable of designing experiments to evaluate LLM output for accuracy, usability, performance, and cost Preferred Qualifications SOAR/SIEM Familiarity - Experience working with security data and/or tools such as SIEM/SOAR platforms (e.g., Splunk), whether from a practitioner, developer, or automation perspective. Splunk Enterprise Security (ES) Experience - Familiarity with ES architecture, correlation searches, notables, and risk‑based alerting. Bonus if you've worked with Splunk's APIs, internals, or have experience developing on the Splunk platform. Security Operations Background - Former Tier 3 SOC analyst or equivalent, with experience automating SecOps workflows and building scalable, resilient detection infrastructure. RAG and Vector Search Implementation - Hands‑on experience developing retrieval‑augmented generation pipelines and working with vector databases (e.g., FAISS, Pinecone). LLM Fine‑Tuning and Embeddings - Exposure to fine‑tuning large language models or generating custom embeddings for domain‑specific tasks in cybersecurity. Security Data Engineering - Experience building and maintaining pipelines for ingesting, parsing, and normalizing large‑scale security telemetry. UX and Human Factors for Analysts - Background or interest in designing intuitive, AI‑assisted analyst workflows with a focus on usability, trust, and decision support. 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: The starting salary range posted for this position is $291,500.00 to $369,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. 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: $291,500.00 - $424,400.00 Non‑Metro New York state & Washington state: $259,400.00 - $377,600.00 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 Affidavit 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

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 media organization is seeking a goal-oriented individual to join its Cloud Computing team in Seattle. This role involves building cloud-native applications and requires a Bachelor's degree with hands-on experience in web development. Candidates should be proficient in JavaScript, Java, Node.js, and ReactJS among others. With a potential transition to full-time, benefits will be offered upon successful conversion. Competitive salary starting at $82,000 plus benefits upon full-time status. #J-18808-Ljbffr

A technology company in Seattle seeks a Sr. Machine Learning Engineer specializing in Recommendations & Personalization. Responsibilities include transitioning machine learning models into production and optimizing performance. The ideal candidate should have an MS or PhD in Computer Science along with over 8 years of experience in machine learning systems. This role offers a competitive salary range of $171,600 to $302,200, plus significant employee benefits and stocks. #J-18808-Ljbffr

A leading technology company in Seattle is seeking a Principal Machine Learning Engineer to drive the vision for generative recommendations. This role involves designing and scaling advanced generative models, enhancing content discovery and personalization, and partnering with cross-functional teams. Candidates should have extensive experience in machine learning, strong programming skills, and a solid understanding of generative architectures. This position offers a competitive salary and the opportunity to work in a dynamic and creative environment. #J-18808-Ljbffr