Engineer jobs in Seattle, WA - 4,820 jobs

Shape the future of AI infrastructure! Join AWS and develop system-level test solutions for our innovative ML acceleration hardware, deployed across our global server fleet. Annapurna Labs (our organization within AWS) designs hardware and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. We're seeking highly skilled and motivated Product Test Engineers to join our Machine Learning Acceleration team at Annapurna Labs. In this role, you'll be at the forefront of validating and ensuring the quality of our advanced ML hardware systems as they transition from development to large-scale deployment across AWS's vast server fleet. You'll be responsible for designing and implementing comprehensive system-level test strategies that cover the full spectrum of our ML acceleration products, from individual components to fully integrated systems. Key job responsibilities Design and implement system-level test strategies for ML acceleration products Develop comprehensive functional and performance tests for complete ML systems Create and maintain scalable test infrastructure for high-volume product validation Implement product bring-up and first‑boot test procedures Drive improvements in test coverage, product quality, and manufacturing efficiency Collaborate with hardware and software teams to ensure end-to-end product validation Analyze system-level test data to identify and resolve integration issues Debug complex hardware/software interactions in a production environment Develop and maintain documentation for system test procedures and manufacturing processes Optimize test workflows to balance thoroughness with production efficiency Basic Qualifications Bachelor's degree in Computer Engineering, Electrical Engineering, or related field 3+ years in system-level product testing Strong programming skills in Python, C/C++ Experience with Linux-based systems and scripting Understanding of computer architecture and system-on-chip (SoC) designs Preferred Qualifications Experience working in high-volume manufacturing environments, particularly with ODM/CM partners Experience implementing and maintaining test solutions at scale Experience with ML/AI hardware systems and accelerators Familiarity with server and data center environments Knowledge of hardware/software co-design and validation techniques Experience with continuous integration and test automation frameworks Strong debugging and problem-solving skills at the system level Understanding of power management and thermal testing for high-performance systems Experience with performance profiling and optimization of ML workloads Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr

Stripe's mission is to accelerate global economic and technological development. We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startups to enterprises, with global scale and industry-leading reliability and product quality. All financial services businesses face a trade-off between access, which we want to expand, and risk, which we want to minimize. We use machine learning to scalably and intelligently optimize across both. Machine learning is an integral part of almost every service at Stripe. It is a key investment area with products and use cases that span merchant and transaction risk, payments optimization, identity, and merchant data analytics and insights. We are also using the latest generative AI technologies (such as LLMs and FMs) to re-imagine product experiences and developing AI Assistants and Agents both for our customers (e.g. Radar Assistant and Sigma Assistant), and also to make Stripes more productive across Support, Marketing, Sales, and Engineering roles within the company. About the team We are dedicated to building and shipping the foundational AI and machine learning systems that will power our entire product suite. Our mission is to fundamentally transform how Stripe uses ML, leveraging our extensive and rich dataset to solve some of the most challenging problems in payments and fraud. We work closely with our partners in Risk, Payments, and Support to build transformative technologies that have a direct impact on our users. From a data perspective, Stripe handles over $1.4T in payments volume per year, which is roughly 1.3% of the world's GDP . We process petabytes of financial data using our ML platform to build features, train models, and deploy them to production. We focus on seeing how LLMs can solve some of our hardest problems in merchant risk and understanding how we can align language to our immense ocean of payments data. Some of our latest innovations have been around understanding how to best represent payments using transformers and enabling entirely new product ideas that are only made possible by GenAI. What you'll do As a Machine Learning Engineer on the Foundation Model team, you'll solve some of Stripe's most challenging technical problems that span multiple teams and directly impact our research and engineering efforts around building the Foundation Models that power our payments and risk solutions . You'll be responsible for both hands-on technical contributions and driving strategic initiatives that shape how ML systems operate at scale across Stripe. Responsibilities Develop foundation models for payments, merchants, and consumers that span Stripe product areas. Fine-tune and optimize LLMs using SOTA techniques, including multimodal alignment, knowledge distillation, quantization, and reasoning to build highly specialized models. Drive technical excellence through hands-on contributions to the design and development of state-of-the-art AI/ML systems, conducting architecture reviews, and maintaining high code quality Partner with engineering and product leaders across Stripe to identify and prioritize foundational investments such as foundation models, assistants, and agents that unlock new capabilities for product teams Contribute to Stripe's technical strategy by representing AI/ML engineering perspectives in company-wide technical decisions and roadmap planning Mentor ML engineers across Stripe on ML experimentation, helping teams navigate complex technical trade-offs, and adopt platform capabilities effectively Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. 5+ years of experience building and shipping ML models that power AI/ML product features, with a strong emphasis on modern technologies such as DNNs, Transformers, and Foundation Models. Strong programming skills in Python with demonstrated ability to write production-quality code A strong experimental mindset, with a proven track record of identifying, prototyping, and validating SOTA machine learning methods to enhance model performance. Proven ability to shepherd large, complex ML projects and drive transformational change in an organization. Deep passion for solving really interesting problems and for building the latest technologies rather than relying on outdated methods. Preferred qualifications A PhD or Master's degree with a research-oriented background, with the ability to dive into research papers and stay current with academic publications. Experience with a large-scale, data-rich product in a domain such as payments, commerce, search, or social media. Knowledge of the challenges and opportunities in applying ML to fraud prevention, merchant intelligence, or financial services. Published research or open source contributions in AI/ML or related fields This role is available either in an office or a remote location (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 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 live 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 South San Francisco HQ, New York, or Seattle At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. #J-18808-Ljbffr

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. 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 know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Distribution and Supply team at Expedia Group is revolutionizing how people search, book, and experience travel. We power the systems behind Pricing, Inventory, Content, and Marketplace Trust & Safety, ensuring travelers find the best deals and most reliable experiences across hotels, vacation rentals, flights, cars, packages, and cruises. Our platforms process trillions of events globally, connecting hundreds of millions of travelers across Expedia Group's brands. As a Machine Learning Engineer III, you'll design and scale the intelligent systems that power Expedia's global travel marketplace. You'll work across Content, Pricing & Availability, Trust and Safety domains operating at massive scale and complexity. Our Content systems manage hundreds of millions of digital assets-images, text, videos, and attributes that bring destinations and experiences to life. You'll use machine learning to automate content enrichment, enhance quality, and deliver personalized travel recommendations. In Pricing & Availability, you'll build models that optimize real‑time pricing and inventory for hotels, rentals, and vehicles-processing millions of products and prices for users per second. Your work ensures travelers see the most accurate, competitive, and relevant prices worldwide. Within Trust and Safety, you'll develop models that uphold trust and fairness across Expedia's two‑sided ecosystem, detecting anomalies, mitigating fraud, and supporting partners in delivering high‑quality traveler experiences. If you're passionate about applying machine learning to complex, high‑scale systems that shape how the world travels, join us and help define the future of travel technology at Expedia Group. In this role, you will: Collaborate in cross‑functional teams of Software Engineers and Machine Learning Engineers/Scientists to design and develop large‑scale batch and real‑time ML solutions in the Distribution and Supply domain Propose, lead, and implement innovative ML applications across Pricing, Inventory, Content, and Trust & Safety while aligning technology strategy with business objectives, ensuring measurable impact Lead end‑to‑end lifecycle for mid‑to‑large‑scale ML projects, from design to deployment Establish and promote best practices, industry standards, and high‑quality methodologies Mentor junior engineers, fostering best practices for integrating ML into existing systems Work on cross‑organizational initiatives, solving complex technical challenges, and innovate to enhance performance and scalability Minimum Qualifications: 5+ years of experience for a Bachelor's degree, or 3+ years for a Master's degree in a software engineering role; or equivalent related professional experience Proficiency in Python and Scala (or Java) Expertise in Big Data technologies such as Hadoop, Hive, or Spark Proven ability to productionize Machine Learning models, including feature engineering, scalability, validation, and deployment Preferred Qualifications: Strong experience with cloud platforms such as AWS, EMR, Kubernetes, and Docker Experience building real‑time applications, preferably with Spark Proficiency with ML platforms like Databricks or SageMaker, and libraries such as PyTorch or TensorFlow Hands‑on experience with workflow orchestration tools (e.g., Airflow, Flyte) Experience in the e‑commerce or travel industry The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. 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. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & 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. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award‑winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group™ Media Solutions, Expedia Local Expert , CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030‑50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain ********************. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. 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

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

corporate_fare Google place Seattle, WA, USA ; Kirkland, WA, USA Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Kirkland, WA, USA. Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Experience in Python and ML libraries/frameworks. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a structured organization involving cross-functional, or cross-business projects. Experience with data pipeline technologies. Experience with cloud platforms (such as GCP). About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will be designing, building, and scaling the machine learning systems that power our Product Led Sales Assist (PLSA) initiative. PLSA has significant impact in driving Google Cloud Platform (GCP) business growth expansion by identifying high-potential Product Qualified Leads (PQLs). You will be responsible for the end-to-end ML lifecycle, from data pipelines and feature engineering to model development, deployment, and infrastructure management. Your role will require an engineering background, machine learning (ML) expertise, and a passion for driving business impact through data. You will collaborate closely with other engineers, UX, PM, Analysts, and Go-to-Market teams and this can be expanded to the suggestion platform where ML expertise can be used to improve suggestion ranking and audience targeting. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Design, build, and maintain the scalable infrastructure for training, deploying, and monitoring our machine learning models at scale, including leveraging ML pipelines like XFlow. Refine existing ML models and implement new models as needed. Explore and implement integrations with Gemini to enhance PQL generation, signal reasoning, and insights. Develop and manage data pipelines to ingest and process datasets (including product data, Marketplace API data) to feed into our ML models. Drive feature extraction, manipulation, and exploration to create rich and potent signals for PQLs across a growing number of GCP products. Implement systems to monitor the performance and health of ML pipelines and models, ensuring reliability, accuracy, and timely insights. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #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

Primary Skills: Electrical-Mechanical (Expert), Control Engineering (Expert), PLC Programming (Expert), Industrial Networking (Advanced), Automation Systems (Advanced) Contract Type: W2 Only Duration: 11 Months with Possible Extension Pay Range: $70.00 - $79.00 per hour #LP Job Summary: We are seeking a Systems Engineer III to join our AFT business group to work on crucial projects, focusing on automation and control systems within our operations. The ideal candidate will be responsible for working independently to deliver high-quality, cross-functional projects on time and within budget, and will be instrumental in managing material handling or automation projects from design through execution. This role is fully onsite in Bellevue, WA, with a possibility of domestic travel up to 20%. Key Responsibilities: Partner with project managers and external vendors to set priorities, establish milestones, and drive schedules. Influence technical documentation, perform reviews, and provide detailed project summaries. Develop working relationships with vendors, engineers, managers, and peers across multiple sites. Manage change orders, purchase orders, and invoicing to support execution efforts. Lead process improvement initiatives in support of operations teams. Must-Have Skills: Solid electrical mechanical skills for hardware system support. Proficiency in PLC programming and understanding of electrical diagrams. Hands-on ability in building and disassembling hardware systems, with a capability of interpreting electrical diagrams. Industry Experience Required: Experience in automation, deploying, and supporting large-scale infrastructure. Familiarity with CI/CD pipelines and basic coding skills in modern PLC programming languages preferred. Previous experience in an operations management/distribution center environment is a plus. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in IT Staffing As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, . teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We're looking for a Principal Machine Learning Engineer to join the Ad Marketplace team at Snap!What you'll do:* Drive the technical roadmap of our Ad Marketplace and Pacing teams, advancing the sophistication of our systems, optimize ad spend and delivery, and make our auction more efficient.* Design, implement, and scale machine learning models and control systems to efficiently and optimally run our ad marketplace.* Collaborate with cross-functional teams to set and align on machine learning strategies to meet company objectives.* Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways.* Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services.* Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management.* Provide technical direction that influences the entire ML community.Knowledge, Skills & Abilities:* Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain.* Experience leading teams or roadmaps focused on recommendation, personalization, or generative AI.* Ability to design, train, deploy, and optimize state-of-the-art machine learning models for performance, reliability, and scale.* Excellent programming and software engineering skills, with an emphasis on clean design and production-readiness.* Ability to quickly learn new technologies and apply them effectively in ambiguous problem spaces.* Skilled at solving ambiguous problems and leading and executing complex technical initiatives.* Strong collaboration, communication, and mentorship abilities.Minimum Qualifications:* 9+ years of post-Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience.* 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization.* Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases.Preferred Qualifications:* Advanced degree in a related field such as machine learning, computer vision, or mathematics.* Experience in online advertising (including ad ranking, auction, marketplace optimization) or other online two-sided markets (e.g., job markets and matching).* Experience with TensorFlow, PyTorch, or related deep learning frameworks.* Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments.* Experience contributing to AI publications.If you have a disability or special need that requires accommodation, please don't be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.:The base salary range for this position is $276,000-$414,000 annually.:The base salary range for this position is $262,000-$393,000 annually.:The base salary range for this position is $235,000-$352,000 annually.This position is eligible for equity in the form of RSUs. #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

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

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

KGS Group is seeking a Mechanical Engineer to join our growing practice in Bellevue, Washington or Granite Bay, CA. About Us We are KGS Group, an employee-owned, multidisciplinary engineering consulting firm serving clients throughout North America. We're different than traditional engineering firms. We believe a commitment to lasting relationships is just as critical as the expertise applied in our work. To us that means we put our clients and people first. We have the discipline to consistently deliver KGS Quality, never taking the easy way out. We always look closer and dig deeper. And no matter the project, we care enough to do it right. As an employee-owned company, we're invested in our work and our people. Working with us means you'll be part of some of the most interesting projects up and down the west coast. With the extensive, wide-ranging expertise within our company, you'll have countless opportunities to learn and grow. Many of our core clients operate in the hydropower and water management fields. We are growing our U.S. team to continue to provide our industry-leading services to these clients. As we expand our presence on the west coast, we are looking for strong candidates at all levels to join our team! The Role As a Mechanical Engineer, you will be responsible for providing engineering inputs integral to both small and large-scale hydro and dam projects. You will lead technical teams and mentor junior staff, support production, and coordinate delivery of engineering work products with multi-disciplinary project team members and external stakeholders. You will not only support and help grow the broader engineering team capabilities, but your particular focus will be on continuing the development of our hydropower capabilities and working with key staff in growing the business. You'll also be involved in supporting project management duties, coordinating with internal and external clients as well as assisting with guiding and mentoring other engineers within the team. In this role you will lead teams conducting technical work involving turbines, generators, and their associated ancillary systems, as well as other balance of plant systems such as gates, hoists, cranes, pumping systems, lubrication systems, and other critical equipment at hydroelectric powerplants. You will lead teams conducting technical work for feasibility studies, engineering designs, preparation of construction drawings and specifications, and carrying out site visits and inspections. You will be working in a collaborative environment with a great team of engineers, technicians, scientists, and other industry-leading peers, and you will also interface directly with clients. Key Responsibilities: Design modifications to, or entirely new, mechanical systems related to dams, control structures, water retaining structures, and hydroelectric generating stations. Execute multiple projects from the proposal stage through to completion. Projects will include a variety of small to large projects involving water resources, flood control, and hydroelectric sectors. Conduct site investigations, condition assessments, and provide design and construction support. Mechanical engineering design and refurbishment of cranes, hoists, hydroelectric turbines, generators, and other balance of plant systems. Conduct feasibility studies for proposed designs and assess costs and benefits for alternatives in a systematic and thorough manner. Preparation and review of reports. Work collaboratively with other disciplines to execute project deliverables, as well as ensure that quality objectives, schedules, and budgets are met. Edit and prepare design specifications. Contribute to the development of the hydro-mechanical practice at KGS by assisting the US mechanical design lead by documenting technical knowledge, improving internal production processes, coordinating and developing internal training content, and other tasks. Perform other duties as assigned. About You To fill the role, we're looking for an applicant to bring forward a good mix of qualifications and previous experiences. Some highlights should include: Minimum of a Bachelor of Science (BS) in Mechanical Engineering from an ABET accredited university. A post-graduate degree would be an asset. Minimum of 7-15 years of experience in mechanical engineering. Must be registered as a Professional Engineer (P.E.) in Washington, Oregon, or California, as well as eligible for registration as a professional engineer in other states by comity through NCEES; or, if not already registered as a PE, would be able to obtain licensure within 1 year from date of hire. Previous consulting experience is preferred, but not required. Excellent verbal and written communication skills are required. Must be self-motivated, and able to work independently with minimal supervision and manage several projects simultaneously. Travel to project sites is usually limited but will be required at times depending on project/client requirements. The amount of travel time desired by our employees can usually be accommodated. Must possess a valid driver's license and the ability/willingness to undergo security clearance checks. Client interaction: must be able to effectively assume a lead role as project engineer at project meetings and communicate project and technical information. Demonstrated experience in site investigations, condition assessments, design, and construction support are preferred. The salary range for this position is $110,000-$160,000 Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including candidate's experience, skills, and location. KGS Group is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. KGS Group is an employee-owned equal opportunity company offering an excellent compensation and benefits package. KGS Group welcomes and encourages applications from people with disabilities. Upon request, KGS Group will provide reasonable accommodation for disabilities to support participation of candidates in all aspects of the recruitment process. *Please help us learn more about you, your professional goals, and why this job is a good fit for you by submitting a cover letter along with your resume. We highly encourage all applicants to provide a cover letter.*

is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We're looking for a Principal Machine Learning Engineer to join the Content Relevance team Snap!What you'll do:* Drive the technical roadmap of the Content Relevance team and optimize our personalized video recommendation systems* Advance the core ML capabilities and design, implement, and scale the overall architecture of the content recommendation systems, ensuring scalability, performance, and reliability* Collaborate with cross-functional teams to align on machine learning strategies to meet company objectives* Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways* Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization* Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services* Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management* Provide technical direction that influences the entire company Knowledge, Skills & Abilities:* Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain* Experience setting the direction for a team whose primary output is online ranking / recommendation models* Ability to design, train, and optimize advanced machine learning models* Excellent programming and software design skills* Ability to proactively learn new concepts and technology and apply them at work* Skilled at solving ambiguous problems and leading and executing complex technical initiatives* Strong collaboration and mentorship skills Minimum Qualifications:* BS in technical field such as computer science, mathematics, statistics or equivalent years of experience* 9+ years of post-Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience* 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization* Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases Preferred Qualifications:* Experience with recommendation systems* Experience with TensorFlow, PyTorch, or related deep learning frameworks* Advanced degree in a related field such as machine learning, computer vision, or mathematics* Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment* Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments* Experience working with a diverse group of engineers* Experience contributing to AI publications If you have a disability or special need that requires accommodation, please don't be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.:The base salary range for this position is $276,000-$414,000 annually.:The base salary range for this position is $262,000-$393,000 annually.:The base salary range for this position is $235,000-$352,000 annually.This position is eligible for equity in the form of RSUs. #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 leading technology company in Seattle seeks a Staff Full Stack Software Engineer to drive technical solutions in building scalable, cloud-based systems. You will mentor engineers, set high standards for technical work, and collaborate across teams to tackle complex challenges. Ideal candidates have over 8 years of experience in software engineering and a strong background in backend technologies. The role offers competitive compensation, including a base salary between USD 168,750 and USD 270,000, alongside various benefits. #J-18808-Ljbffr

A tech company is seeking a Staff Platform Engineer to join their engineering team. In this role, you will design and develop high-quality scalable platforms, collaborate with cross-functional teams, and make key architectural decisions. The ideal candidate has over 8 years of experience in this field, strong problem-solving skills, and expertise in database design, AWS platform, and data pipeline technologies. This position offers a chance to work closely with the founders on innovative projects. #J-18808-Ljbffr

GEICO . For more information, please .We are seeking an accomplished Staff ML Engineer who will serve as a technical leader for the generative AI space at GEICO. In this individual contributor role, you will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy systems that ensure scalability, reliability and usability of generative AI solutions, applications and workflows across GEICO. You will provide hands-on guidance, ensure architectural excellence, and lead by example to solve complex, large-scale, cross-functional problems.**Responsibilities:** Take responsibility for the design, development and maintenance of high-performance AI solutions that utilize agentic workflows to deliver concrete business value for internal stakeholders. Examples include knowledge assistants, voice/text-based conversational AI solutions, document/audio processing copilots, voice agents, robotic process automation, etc.Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.Integrate and build solutions using GEICO AI platform architecture. Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform development.**Basic Qualifications** 6+ years of experience designing and building scalable production AIML applications and systems in cloud environments, Proficient in Python, Java and similar general-purpose programming languages.**Preferred****Qualifications****:** Strong communication and problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments* Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.* Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.* Access to additional benefits like mental healthcare as well as fertility and adoption assistance.* Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.At GEICO,we offer a rewarding career where your ambitions are met with endless possibilities.Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. #J-18808-Ljbffr