Research and development engineer jobs in Lakewood, WA - 1,390 jobs

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Payments ML Accelerator team is developing foundational ML capabilities that drive innovation across Stripe's payment products. We build deep learning models that tackle Stripe's most complex payment challenges - from fraud detection to authorization optimization - and deliver measurable business impact. Our work combines advanced ML techniques with large-scale data infrastructure to enable rapid experimentation and seamless deployment of AI-powered solutions. As a central ML innovation hub, we work closely with product teams to identify high-impact opportunities and implement scalable solutions that can be leveraged across the organization. What you'll do: As a machine learning engineer on our team, you'll develop advanced ML solutions that directly impact Stripe's payment products and core business metrics. Your role will span the entire ML lifecycle, from research and experimentation to production deployment. You'll work on high-leverage problems that require innovation in modeling, optimization, and system design. Where possible, you'll look beyond point solutions - designing approaches and architectures that are reusable, extensible, and serve as foundation models for future capabilities. The role demands strong technical judgment, deep knowledge of modern ML methods, and the ability to translate ideas into systems that deliver measurable impact. You'll partner with product and engineering teams to identify opportunities where ML can move the needle today while setting Stripe up for long-term success. Responsibilities: Design and deploy deep learning architectures and foundation models to address problems across key payment entities such as merchants, issuers, or customers Identify high-impact opportunities, and drive the long-term ML roadmap through well-scoped high-leverage initiatives Architect generalizable ML workflows to enable rapid scaling and optimized online performance Deploy ML models online and ensure operational stability Experiment with advanced ML solutions in the industry and ideate on product applications Explore cutting-edge ML techniques and evaluate their potential to solve business problems Work closely with ML infrastructure teams to shape new platform capabilities Who you are: We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. Minimum requirements Minimum 7 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production Proficient in Python, Scala, and Spark Proficient in deep learning and LLM/foundation models Preferred qualifications MS/PhD degree in quantitative field or ML/AI (e.g. computer science, math, physics, statistics) Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis Experience evaluating niece and upcoming ML solutions This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. The annual US base salary range for this role is $212,000 - $318,000. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations New York, South San Francisco HQ, or Seattle Remote locations Remote in United States Team Data & Data Science Job type Full time Note: Apply for this role #J-18808-Ljbffr

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud‑based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the Role As a Consulting Engineer - Search, you will play a pivotal role in helping our customers realize the value of Elastic's Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end‑user experience. You'll collaborate with Elastic's Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximize the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates. What You Will Be Doing Translate business and technical requirements into scalable, outcome‑driven solutions built on the Elastic Stack. Lead end‑to‑end delivery of customer engagements - from discovery and design through implementation, enablement, and optimization. Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption. Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. Collaborate cross‑functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community. Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration Apply your expertise to optimize queries, tune clusters, and handle high query/indexing throughput at enterprise scale. Collaborate with product and engineering teams to identify product improvements, extensions, and defects based on field feedback Operationalize vector search (e.g., kNN, ANN, hybrid embeddings) with Elastic's vector capabilities and ML models or similar. Profile and tune queries for high‑QPS environments with sub‑second latency targets. What You Bring 5+ years as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies and concepts, including generative AI. Hands‑on experience deploying Elastic Search solutions or similar platforms (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e‑commerce site search engines). Strong experience in custom search solution design, query development, relevancy tuning, and NLP use cases. Expertise in distributed systems and large‑scale application infrastructure. Proficiency in at least one programming language; knowledge of open‑source machine learning/AI frameworks preferred. Knowledge or certification in Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, Kafka, Redis, VMs, Lucene. Familiarity with DevOps practices: Docker, Kubernetes, Terraform, CI/CD. Ability to manage delivery from proof‑of‑concept through production rollout, while mentoring client teams for long‑term success. Familiarity with modern NLP and AI ecosystems (transformers, Hugging Face, vector DBs like Pinecone or Weaviate) as applied to search. Strong communication and presentation skills, with experience working directly with customers to gather requirements and deliver solutions. Bachelor's, Master's, or PhD in Computer Science, Engineering, or related field, or equivalent experience. Comfortable working in highly distributed teams, both remote and on‑site when needed. May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs. Bonus Points: Elastic Certified Engineer certification. Experience at a Big 4 consulting firm. Hands‑on experience with Ansible, Terraform, JavaScript, ECK/Kubernetes. Familiarity with machine learning and AI applied to search solutions. Experience contributing to open‑source projects or documentation. Public speaking experience at conferences, meetups, or enterprise workshops. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company‑matched 401k with dollar‑for‑dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well‑being. The typical starting salary range for this role is: $110,900-$175,500 USD The typical starting salary range for this role in the select locations listed above is: $133,200-$210,700 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic (“DNR”), and the Luhansk People's Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. #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 defense technology company is seeking an experienced AI Engineer to work on their Lattice software platform. This role involves developing and improving machine learning algorithms, working with cross-functional teams to solve complex problems, and pushing AI solutions into production. The ideal candidate holds a BS in a related field with over 5 years of relevant experience. A competitive salary range of $220,000 - $292,000 USD is offered along with comprehensive benefits including healthcare and professional development. #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

Machine Learning Engineer - ML Ops Role Regrello is seeking proactive and industry‑experienced US‑based Machine Learning Engineers to join our AI‑research team. In this role, you will bridge the gap between our top‑tier Machine Learning Researchers and Software Engineers, moving fluidly between both disciplines to steward our groundbreaking Machine Learning and AI capabilities to real users in production. Together with your team members, you will lead the productionalization of our novel foundational deep learning model that is specifically designed for processing large, complex tabular datasets. The ideal candidate will have several years of experience bringing deep learning models to fruition in an industry setting, with a well‑developed intuition about how to best make it happen. By joining our team, you will have the opportunity to contribute to the advancement of manufacturing practices on a global scale. You will be at the forefront of creating cutting‑edge solutions that have a direct impact on how organizations optimize manufacturing and supply chain processes. This is an individual contributor role, with the potential to take on additional responsibilities in the future. Company Regrello is a 60‑person startup reimagining automation in supply chains, in which companies still communicate about $13T of annual shipments almost entirely via email. This is a $220‑billion, Amazon‑sized market opportunity that's been largely overlooked for over 20 years. Our team has experience building billion‑dollar companies and includes veterans from Oracle, Palantir, Apple, Amazon, and Microsoft. Our customers include some of the largest electronics manufacturers in the world. We're funded by Andreessen Horowitz, Tiger Global, Dell, Bloomberg, and Ram Sriram (first investor in Google). With a 2‑3 year runway, we offer startup agility and longer‑term stability. Product We are building a global operating network that finally enables supply‑chain companies to collaborate within one platform. Our workflow engine empowers non‑technical industry experts to model their complex manufacturing and operational processes. Our forms engine enables unprecedented data exchange between companies. Our AI engine monitors the complex go‑ings‑on across thousands of workflows, identifies inefficiencies, and drives optimization in a constantly‑shifting supply chain landscape. Quote one user: “I've been waiting for this for 20 years.” Culture and Compensation We are a customer‑obsessed, product‑driven company that is building a flexible, hybrid/remote culture to enable the brightest minds in the industry. We are particularly interested in candidates based in our hubs of Seattle, San Francisco, and New York, but we will consider candidates who live anywhere in the US. We have industry‑leading compensation packages, including equity and health benefits. About you Bachelors in Computer Science or Software Engineering with a 3.5+ GPA. 3+ years of industry experience architecting MLOps pipelines for Deep Learning models. Strong understanding of training models in distributed multi‑node GPU environments. Experienced with data engineering technologies, such as Airflow, Spark, Trino, Flink, or BigQuery. Familiarity with Python and PyTorch, Tensorflow, or JAX. Excellent written and verbal communication skills, capable of articulating complex technical concepts to diverse audiences. A strong desire to learn, grow, and drive impact on real global problems-and to help others around you do the same. Non‑requirement: You don't need any experience with supply chain or manufacturing-we'll teach you that part! Responsibilities Manage the deployment of AI models to solve real‑world complex problems in global supply chain and manufacturing. Collaborate with cross‑functional teams including Engineering, Design, Product Management, and industry experts to build high‑quality product features that can be used by major companies around the world. Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic startup environment. Help shape the company by participating in hiring decisions and contributing to our culture of continuous learning and growth. $165,000 - $220,000 a year We offer a competitive salary range of $165,000 - $220,000, based on experience, qualifications, and location. In addition, we offer equity in our dynamic startup to reward your contributions to our success. Our benefits package includes health insurance (medical, dental, vision) and generous paid time off. If this sounds exciting, please apply, and we'll get back to you promptly if we see a fit! #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 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

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

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 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 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

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril's Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. AI Engineers on Anduril's Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. WHAT YOU'LL DO Distill and fine-tune transformer architectures so they can be deployed onto edge devices or compute denied environments Propose and prototype LLM-based Agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field Develop and maintain mission relevant benchmarks Work cross-functionally with different business lines across Anduril to help discover and scope new research problems REQUIRED QUALIFICATIONS BS in Computer Science, Machine Learning, Electrical Engineering, or related field 5+ years experience developing and benchmarking ML algorithms Experience pushing and maintaining ML algorithms in production Strong Python skills with experience in ML frameworks such as PyTorch Eligible to obtain and maintain an active U.S. Secret security clearance PREFERRED QUALIFICATIONS Experience fine-tuning transformer-based model Experience deploying deep-learning based models to edge devices or air gapped environments Prior experience in defense tech or start-up US Salary Range $220,000 - $292,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development. Commuter Benefits: Company-funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. To view Anduril's candidate data privacy policy, please visit ********************************************** #J-18808-Ljbffr

Join Sinclair Digital, the innovation engine behind one of the largest and most diversified television broadcasting companies in the country. We are at the forefront of transforming how local news and television are produced, distributed, and consumed across multiple platforms. Sinclair Digital's Cloud Computing team is building a cloud‑native foundation from the ground up. Our digital portfolio includes websites, mobile apps, over‑the‑top (OTT) apps, and a content publishing platform-all converging into a seamless user experience. This is a temporary role that will initially be a contractor position through an agency, with the potential to transition to a full‑time role based on performance and business needs. It is required that this candidate be located in Seattle, WA. Responsibilities Immerse yourself in a diverse technology ecosystem at Sinclair Digital, gaining hands‑on experience with client, server, and cloud technologies. Learn by building new cloud services using CI/CD and IaC development paradigms. Develop a complete understanding of your assigned application and backend systems. Innovate by designing and building applications to discover and implement cutting‑edge content delivery methods. Be a strong team player while collaborating with other team members across the organization. Be ready to discuss and present your ideas to others, taking critical feedback and improving and iterating on design. Follow best practices and patterns, while continuing to explore new and emerging technologies. Minimum Qualifications Bachelor's degree in Computer Science, Applied Science with a Full Stack Web Development certificate, or equivalent practical experience. 6 months experience in application and/or web development. Experience working in several languages and tools including JavaScript, Java, Express, Node.js, MySQL, MongoDB, Mongoose, Python, ReactJS, jQuery, HTML5, and CSS. Preferred Qualifications Experience with or strong interest in AWS cloud services, Databricks, and modern cloud‑native architectures, including Docker containers, microservices, Kubernetes clusters, Terraform, and serverless / event‑driven systems, along with a passion for learning and building scalable distributed solutions. It is preferred that applicants include a resume, and cover letter that include links to their GitHub, LinkedIn, and a personally developed website. About Sinclair Digital Sinclair Digital is transforming how local news and television is produced, distributed, and consumed. We are the digital innovation team for the largest and most diversified television broadcasting company in the country, with affiliations to all major networks and more local television stations than anyone else. Our cloud‑computing team is building a new program to integrate fresh talent with diverse experience, creating an exceptional cloud‑computing powerhouse from the ground up. Our digital portfolio combines websites, mobile apps, OTT apps, and our content publishing platform into a seamless user experience. We take pride in our charter to transform Sinclair Broadcast Group with a broadcast‑centric company into an every‑platform enterprise while maintaining our entrepreneurial spirit. About Us Sinclair, Inc. (Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports. The company owns, operates, and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; it owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR, and The Nest. Sinclair's AMP Media produces a growing portfolio of digital content and original podcasts. Additional information about Sinclair can be found at ************* About the Team The life‑blood of our organization is our people. We have a compelling story, a goal‑oriented culture, and we take really good care of people. How good? Here is a glimpse: great benefits, open door policy, upward mobility and a strong desire to see you succeed. Ready to be part of a winning team? Let's talk. Employment Information Sinclair is proud to be an equal‑opportunity employer and a drug‑free workplace. Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law. Compensation & Benefits This is a temporary role that will initially be a contractor position through an agency, with the potential to transition to a full‑time role based on performance and business needs. The base salary for this role is $82,000. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. During the temporary contractor period, this position is not benefit‑eligible through Sinclair. Upon successful conversion to full‑time status, you would be eligible for company benefits that include participation in a retirement plan, quarterly and annual incentive plan bonuses, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan. #J-18808-Ljbffr

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 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 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

Join Sinclair Digital, the innovation engine behind one of the largest and most diversified television broadcasting companies in the country. We're at the forefront of transforming how local news and television are produced, distributed, and consumed across multiple platforms. We are the digital innovation team for Sinclair Media with affiliations to all major networks and more local television stations than anyone else. Sinclair Digital's Cloud Computing team is building a new program to integrate fresh talent with diverse experience into an exceptional cloud‑computing powerhouse, from the ground up. Our digital portfolio combines websites, mobile apps, over‑the‑top (OTT) apps, and our content publishing platform into a seamless user experience. We take pride in our charter to transform Sinclair Broadcast Group into an every‑platform enterprise while maintaining our entrepreneurial spirit. This is a temporary role that will initially be a contractor position through an agency, with the potential to transition to a full‑time role based on performance and business needs. It is required that this candidate be located in Seattle, WA. Responsibilities Immerse yourself in a diverse technology ecosystem at Sinclair Digital, gaining hands‑on experience with client, server, and cloud technologies. Learn by building new cloud services using CI/CD and IAC development paradigms. Develop a complete understanding of your assigned application and backend systems. Innovate by designing and building applications to discover and implement cutting‑edge content delivery methods. Be a strong team player while collaborating with other team members across the org. Be ready to discuss and present your ideas to others, taking critical feedback and improving and iterating on design. Follow best practices and patterns, while continuing to explore new and emerging technologies. Minimum Qualifications Bachelor's degree in Computer Science, Applied Science with a Full Stack Web Development certificate, or equivalent practical experience. 6 months experience in application and/or web development. Experience working in several languages and tools including JavaScript, Java, Express, Node.js, MySQL, MongoDB, Mongoose, Python, ReactJS, jQuery, HTML5, and CSS. Preferred Qualifications Experience with or strong interest in AWS cloud services, Databricks, and modern cloud‑native architectures, including Docker containers, microservices, Kubernetes clusters, Terraform, and serverless / event‑driven systems, along with a passion for learning and building scalable distributed solutions. If possible, include a resume, cover letter, and links to your GitHub, LinkedIn, and a personally developed website. About the Team The life‑blood of our organization is our people. We have a compelling story, a goal‑oriented culture, and we take really good care of people. Here is a glimpse: great benefits, open door policy, upward mobility and a strong desire to see you succeed. Base salary for this role is $82,000. Final compensation will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. During the temporary contractor period, this position is not benefit‑eligible through Sinclair. Upon successful conversion to full‑time status, you would be eligible for company benefits that include retirement plan participation, annual incentive plan bonuses, life and disability insurance, health, dental, and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and an employee stock purchase plan. Sinclair is proud to be an equal‑opportunity employer and a drug‑free workplace. Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law. #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