Operations engineer jobs in Yakima, WA - 2,740 jobs

Seattle, Washington, United States Machine Learning and AI Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other's ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better!In this organization, we work hard to bring the best user experiences powered by Apple Intelligence. Our team is instrumental in powering and enhancing features across a range of Apple products, including Siri, Spotlight, Safari, Messages, and more. We are an Applied ML team pushing the limits of question answering, assistant response ranking, summarization, and search technologies, while also responsible for a production service.As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications.You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products and conduct applied research to transfer the cutting edge research in generative AI to production ready technologies. Description In this role, you will work on LLM based question answering and Apple Intelligence features to provide concise, accurate, and grounded information to users to help them complete their tasks quickly on Apple devices. Your core responsibilities will include: Designing and developing advanced Reinforcement Learning technologies in the post-training of generative model, and delivering the end-user experience. Driving cross-functional technical initiatives, collaborating with research, engineering and production teams to translate theoretical advances into deployable systems. Developing novel and cutting-edge RL algorithms and improving existing ones. Staying up to date with the latest RL research and integrate best practices into the team's workflow. Working on the end-to-end ML lifecycle: algorithm design and implementation, data collection, model training, evaluation, and deployment. Minimum Qualifications 1+ years of ML experiences in search, natural language processing/understanding. Conversational AI. Proven experience for LLM post training, including but not limited to SFT, RLHF, RLAIF, Reward Modeling, Chain-of-thought, agentic LLM. Hands-on experience building RL pipelines and training agents in simulation or real-world environments. Growth mindset and ability to learn new technologies MS or Ph.D. in Computer Science, Machine Learning with a specialty in reinforcement learning, or a related field Preferred Qualifications Deep expertise in reinforcement learning-based post-training on LLM models, reward modeling, RLHF, RLAIF, Chain-of-thought, and agentic AI R&D. Deep understanding of cutting edge RL algorithms and large language model. Strong product intuition and ownership At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

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

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

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

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

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 leading hospitality organization in Seattle is seeking an Assistant Director of Engineering to manage hotel operations, overseeing both internal and external functions. Candidates should possess knowledge in HVAC, Refrigeration, and Electrical Engineering. The role offers a competitive salary range from $70,600 to $106,000, along with robust benefits including medical, dental, vision insurance, and generous paid time off. Join a dynamic engineering team at one of the premier hotels in Seattle. #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

To be eligible to enlist in the U.S. Navy, candidates must be between the ages of 18-34 The most powerful energy sources in the world need the most powerful minds behind them. As a Nuclear Reactors Engineer, youll be responsible for researching, designing, maintaining, operating and regulating the nuclear reactors and power plants that drive the most advanced fleet of submarines and aircraft carriers on Earth. Here, you can fuel a passion for problem-solving by defining and redefining the cutting edge of nuclear propulsion, while setting the standard in nuclear reactor research and regulation. RESPONSIBILITIES Naval Reactors Engineers have oversight of the Navy's entire fleet of nuclear-powered ships as well as shore-based prototypes and nuclear propulsion support facilities for Americas Navy. The wide array of technical areas involved in the Naval Nuclear Propulsion program include: Reactor and fluid systems design Reactor physics Materials development Component design such as steam generators, pumps and valves Instrumentation and control of reactor, steam and electric plants Testing and quality control Shielding Chemistry and radiological controls As a Navy Reactors Engineer stationed at Naval Reactors Headquarters in Washington, D.C., you will provide technical oversight while managing projects ranging from reactor design to fleet operations to de-fueling and decommissioning warships. PAY AND BENEFITS From the day you start, youll receive: Competitive salary Free health insurance Free housing A retirement plan 30 days paid vacation per year EDUCATION OPPORTUNITIES In addition to the best-in-class training and state-of-the-art facilities, current undergrad students who meet the prerequisite background will also get the chance to get paid while finishing school through the Nuclear Propulsion Officer Candidate (NUPOC) program. Students in majors like mathematics, engineering, physics and chemistry may receive preferred acceptance into the program. If accepted into the NUPOC program as an aspiring Naval Reactors Engineer, you can: Receive a salary in excess of $4,000 per month for up to 18 months prior to your college graduation Receive an immediate one-time sign-on bonus of $15,000 Enjoy military health care benefits while you are a student in the program Postgraduate Education Opportunities As a Naval Reactors Engineer, once youre out of school youll have a position waiting as a respected professional and Officer affiliated with the most accomplished nuclear program on earth. Beyond undergraduate and formal Navy training and education, you can pursue additional graduate education through the following: Post-9/11 GI Bill Navy Tuition Assistance Program Completing Joint Professional Military Education (JPME) at one of the various service colleges Using Tuition Assistance to attend online or in-person graduate programs during shore assignments. Navy College Program VOLED Assistance Center VOLED Region Advisors The Naval Postgraduate School (NPS) Navy War College (NWC) USAF Air University Air Command and Staff College QUALIFICATIONS AND REQUIREMENTS U.S. citizen between the ages of 19 and 29. Exceptions may be possible up to age 40. Graduate or current student pursuing a B.A., B.S. or M.S. (preferably major in mathematics, engineering, physics, chemistry or other technical areas). Those still in school may apply as early as 18 months from completion of an undergraduate degree for Naval Reactors Engineers. Applicants may also join the NUPOC program as early as 12 months from completion of a master's degree. Additional academic requirements include: Completed one academic year of calculus Completed one academic year of calculus-based physics A competitive GPA and a minimum grade of "B" in all technical courses General qualifications may vary depending upon whether youre currently serving, whether youve served before or whether youve never served before. WORK ENVIRONMENT Preliminary training and eventual staff assignments center around Naval Reactors Headquarters at the Navy Yard in Washington, D.C. At Headquarters, you will be a part of an elite, streamlined staff of roughly 500 people who oversee the entire Naval Nuclear Propulsion Program from cradle to grave. Even junior-level Naval Reactors Engineers assume responsibility for key technical work in a variety of state-of-the-art facilities, including: Two Department of Energy laboratories Two nuclear prototype/training sites Nearly 100 nuclear-powered ships and submarines Six shipyards More than 1,000 firms that support the Naval Reactors Program RequiredPreferredJob Industries Government & Military

This job opportunity is available at ANY location in the United States. Ideally, selected candidates will be near a JACOBS U.S. based office, but we intend to hire the "best" candidates. At Jacobs, we drive to make a positive impact on people's lives everywhere by bringing solutions and adding value to our communities and society as a whole. Grow your career with Jacobs, a company that inspires and empowers you to deliver your best work so you can evolve, grow, and succeed - today and into tomorrow. In our Advanced Manufacturing Group, our team elevates our clients by delivering cost-effective and transformative projects to the specialty chemical, electric vehicle, manufacturing, metals, pulp and paper and various other markets. We understand that the success of our clients is about more than well-designed facilities; it's about well-designed strategies tailored for every market and every location. We're looking for an experienced, high-energy, HVAC Engineer to join our Building Mechanical team and help deliver innovative HVAC design solutions for our heavy industrial clients. You will work alongside our team of engineers and designers performing field investigations, interfacing with clients & vendors, sizing and selecting equipment, and preparing construction design packages. You'll be accountable for the schedule and technical quality of challenging engineering tasks as you gain familiarity with the client's expectations, scope, budget, and schedule. You'll work with a multi-discipline, highly interactive team to establish to meet the needs of our clients. Your role keeps our company connected, and we'll support you with what you need to be successful. Highlights of your contributions will include: * Layout and design of HVAC systems. * Development of the design criteria for the HVAC systems. These HVAC systems would include general comfort heating and cooling, those with accurate temperature or humidity control, unique pressurization requirements, and/or cleanliness requirements for clean room applications. * Development of conceptual design and preliminary design documents, which would include calculations related to sizing and selecting these systems, the development of Air Flow Diagrams (AFDs), Process and Instrumentation Diagrams (P&IDs), and general arrangements. * Development of final design documents including specifications, sequences of operation, duct/piping layout, and final construction documents associated with these systems. These systems would include chilled water, cooling water, etc. * Coordination with other disciplines. Bring your curiosity, talent for multi-tasking and collaboration, and extreme organizational skills, and we'll help you grow, pursue, and fulfill what drives you - so we can make big impacts on the world together. * Professional Engineering License. * At least ten (10) years' experience in the design of HVAC systems for industrial facilities. * Thorough knowledge of codes and standards related to the design of HVAC systems. * Bachelor of Science Degree in Mechanical Engineering. * Adaptability to work within a fast-paced team environment with multiple deadlines. * Ability to lead a building mechanical team on a project and to collaborate with other discipline team members remotely. Ideally, You'll Also Have: * Software experience in Revit, Carrier HAP, Trane Trace 700, and Trane Trace 3D. * Experience in the design of plumbing/utility systems. Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.

Become Part of Our Team As an industry leader Balfour Beatty offers employees a comprehensive benefits package that includes competitive salaries, comprehensive benefits, paid time off, education assistance and much more including: * Medical, Dental, Vision and Life Insurance * Health Savings Account * 401(k) with company match * Flexible Spending Accounts (Dependent Care and Health Care) * Vacation Time * Sick Time * Holidays Howard S. Wright, a Balfour Beatty Company is seeking a qualified Project Engineer to join our team in Eastern Washington (Tri-Cities/Hermiston/Yakima). If you have a passion for what you do, a strong drive to achieve results, the ability to solve problems creatively, and a dedication to client service and relationship management, come join us. The Project Engineer assists Project Manager with the planning and daily execution of the construction project. Responsible for maintaining certain aspects of the project schedule as assigned by the Project Manager, by managing the process of submittal approvals, coordinating the timely delivery of materials, maintaining schedules and budgets. Manages, directs and coordinates the subcontractor's compliance with the Contract Documents as delegated by the Project Manager. 30 hours of OSHA training once every four years. Essential Functions Project Financial Responsibilities * Assists project management by proactively managing the project budget by controlling expenses, administering owner and subcontractor billings, identifying work not covered by subcontractor's scope of work/budget and ensuring the success of office support functions related to the overall cost and scheduled completion. Preconstruction Services * Establish procedures for controlling contract drawings. * Initiates set-up of the job management system. * Assists with the scopes of work, bid package development and help solicit subcontractors and suppliers. * Participates in the constructability reviews. Project Start-up and Scheduling * Assists in the development of the site utilization plan. * Assists Project Manager / Superintendent in the review and coordination of the Loss Prevention, project Sustainability Action Plan (SAP) and Quality Control Program. * Manages pre-work subcontractor orientation meetings, ensuring documentation is completed for each subcontractor including material deliveries, site specific safety, sustainability and quality control issues. * Manages submittal log and coordinates submittals and coordination drawings with subcontractors and the Superintendent. Project Administration, Coordination and Close-out * Responsible for proactive administration of reviewing and processing all submittal data and shop drawings to ensure project schedules are expedited and materials are delivered on time. * Conducts preconstruction meetings with subcontractors, assisted by the Project Manager and/or Superintendent. * Serves as the onsite quality manager for assigned trades by verifying subcontractor deliveries meet approved submittal requirements. * Attends and participates in meetings with Architect/Engineer and owner representatives, provides information and assists the Project Manager in the preparation of progress reports/meeting minutes. * Distributes proposal change documents to subcontractors/suppliers and assists in collecting pricing and/or prepares change proposal requests for internal pricing review. * Ensures all clarifications, changes, directives, RFIs, etc., are updated on the "as-built" drawings and are fully coordinated with company supervision and all subcontractor/suppliers. * Responsible for submitting owner required close-out documents and assisting subcontractors /suppliers in scheduling owner required training and documentation. Promote Customer Relations * Builds effective relationships with customers, design team, subcontractors, suppliers, and user groups that reflect and support company core values and meets or exceeds the customer's expectations. * Actively participates in industry, client, and community relations to enhance company image. Culture, Leadership and Employee Development * Promotes our Creed. Communicates our vision and purpose through Service, Talent, and Choices. * Serves as a role model and promotes professional behavior. * Participates in personal career development through on-the-job training, attends operations classroom training programs and assists in the development of the Project Engineer. Perform other related duties as needed Working Conditions The majority of work is completed on job sites in an office trailer or in an existing structure. Due to daily condition changes on construction projects, when employees are outside of the office trailer or structure, they must wear appropriate personal protective equipment as required by the company's safety policies and as required for weather conditions. The project team and/or team member may need to move to other projected work geographic locations, if necessary. Education, Experience and Knowledge * B.S. in Construction Management, Engineering, or related field position with 2 to 4 years of experience preferred, or 5 to 6 years of progressive construction related trade experience. * New hires are required to sign up for OSHA courses and complete them within the first six months of employment. * Demonstrates leadership skills with ability and willingness to face challenges, direct others, and effectively address conflict. * Creates, manages, and/or revises schedules and related assignments based on key priorities of assigned projects, considering the importance between work and life activities for self and others. * Organizes people, tools, and equipment and plan/manage multiple activities to accomplish desired results. * Makes decisions under tight deadlines, sometimes with incomplete information. * Exhibits commitment to quality by evaluating project-related processes and make necessary changes, using customer input to make improvements, and meeting/exceeding internal and external customer expectations. * Acts in a manner of integrity that demonstrates support for the company values and the employees, while maintaining constant focus on meeting/exceeding customer requirements and expectations. * Demonstrates proficiency using a personal computer (PC) and company communication tools, such as email, internet, and Microsoft products (e.g., Word, Excel, Office, Outlook). The base compensation range for the role posted above is $87,000 - $95,000 annually. Balfour Beatty is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of and will not be discriminated against on the basis of race, color, gender, pregnancy or breastfeeding, sexual orientation, gender identity or expression, religion, national origin, age, genetic information, marital status, veteran status, disability, or other status protected by state or federal law. Accessibility: If you need an accommodation as part of the employment process, please contact Human Resources at: Phone: ************** Email:

Century West Engineering is seeking a civil engineer with public works design experience. Our ideal candidate is passionate about delivering our clients effective solutions that improve the vitality and accessibility of the communities we serve. Candidates will be comfortable using AutoCAD/Civil3D for transportation, recreational facilities, water, wastewater, and/or stormwater design projects. Project Engineers should thrive on working as part of a team to build their own skills while contributing positively to the development of those around them. Benefits: 2 to 4 weeks of vacation depending on experience 1 hour of sick leave for every 30 hours worked 8 paid holidays 3 days paid bereavement leave, as needed 401k retirement account match Health (PPO and HSA options), dental, and vision insurance fully covered for full-time employees and available for family and dependents Life and disability insurance Employee assistance program Bonus program Professional training and development opportunities Reimbursement for continuing education Flexible schedule Duties and Responsibilities: Collaborating with project managers and other design team members on engineering deliverables, calculations, and project closeout Providing actionable feedback on design work from other engineers and technicians Visiting project sites to observe field activities Managing small projects under the supervision of a project manager Qualifications: Bachelor's degree in civil engineering or appropriate discipline Registered Professional Engineer (PE) in Oregon, Washington, or Idaho Experience and knowledge of local design standards for transportation and/or utility projects An Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected status.

Join a Legacy of Quality and Innovation at Sun-Rype Products (USA), Inc.! Since 1946, Sun-Rype has been providing families with delicious, wholesome juices and fruit snacks. As a progressive company committed to innovation and growth, we're proud of our long-standing reputation and excited for what's ahead. At Sun-Rype, we work together to deliver results, continually challenge ourselves to improve, and celebrate the success of our business as a team. Our collaborative, passionate culture is what truly sets us apart. If you're an organized, proactive individual who thrives in a fast-paced environment we would encourage you to apply and join our team. Position Summary: This position is responsible for the functions of the production, material handling, and support equipment to assure its proper operation and performs maintenance activities to maximize plan production and minimize plant down time. Responsibilities: Performs and documents troubleshooting, removal, installation, disassembly, repair and assembly of production, material handling, waste and raw product equipment, support equipment and systems. Maintains a neat and orderly work area. Follows instructions given in work logs, work orders and equipment manuals. Operates a forklift in a safe manner. Performs non-routine maintenance activities as assigned by the Shift Supervisor or Plant Manager and must be capable of performing emergency repairs. Position that backs up this role during absence: Any other trained employee . Job Requirements: The following requirements are those that are normally required for performance of the Mechanic position. Any disabled applicant or incumbent who does not meet one or more of the requirements, but who can perform the essential function of the job (with or without reasonable accommodations) shall be deemed to meet these requirements. Role in Food Safety : Follow plant GMP's at all times, ensure work area is secure. A. Physical Requirements: This position requires the following physical demands up to 90% of the time: Must be able to lift and carry 50 pounds, Must be able to carry 25 pounds up and down 21 stairs, Must be able to stand for 8 hours during a shift minus breaks and lunch, Must be able to work in hot, humid and/or cold areas, Must be able to stand, bend, squat, crawl, kneel, reach above shoulders, climb ladders and crawl in tight and awkward workplaces for long periods of time, Must be able to safely lift and carry a 51-pound stepladder, May be required to safely lift up to 100 pounds unassisted, Must have good hand-eye coordination. B. Non-Physical Requirements: Education: Bachelor's degree or mechanical certification preferred. High school diploma required. Experience: Minimum one year experience in a juice processing environment preferred. Special Skills : Able to work any shift, overtime and any or all days of the week in accordance with plant needs. Able to do electrical troubleshooting. Able to demonstrate safe use and skilled application of tools commonly used in the plant in accordance with established practices and procedures. Ability to use stick welder, wire welder, tig, plasma torch, oxygen acetylene torch. Ability to recognize and name stainless steel, mild steel, and aluminum. Ability to sharpen drill bits, chisels, and cutting tools. Excellent communication skills. Superb organizational skills and attention to detail. A demonstrated commitment to continuous improvement. Personally invested in the success of the business. Motivated, focused and accountable for results. Licensure, Registration, Certification : WA State Electrician Certification preferred. External Relationships: Vendors Internal Relationships: The mechanic must interact and communicate effectively with all employees of the organization. Effective communication is especially important with the shift supervisor. Direct & Indirect Reports: There are no direct or indirect reports. Back-up The position will be backed-up by other mechanics and/or the maintenance supervisor in event of absence.

Join a Legacy of Quality and Innovation at Sun-Rype Products (USA), Inc.! Since 1946, Sun-Rype has been providing families with delicious, wholesome juices and fruit snacks. As a progressive company committed to innovation and growth, we're proud of our long-standing reputation and excited for what's ahead. At Sun-Rype, we work together to deliver results, continually challenge ourselves to improve, and celebrate the success of our business as a team. Our collaborative, passionate culture is what truly sets us apart. If you're an organized, proactive individual who thrives in a fast-paced environment we would encourage you to apply and join our team. Position Summary: This position is responsible for the functions of the production, material handling, and support equipment to assure its proper operation and performs maintenance activities to maximize plan production and minimize plant down time. Responsibilities: Performs and documents troubleshooting, removal, installation, disassembly, repair and assembly of production, material handling, waste and raw product equipment, support equipment and systems. Maintains a neat and orderly work area. Follows instructions given in work logs, work orders and equipment manuals. Operates a forklift in a safe manner. Performs non-routine maintenance activities as assigned by the Shift Supervisor or Plant Manager and must be capable of performing emergency repairs. Position that backs up this role during absence: Any other trained employee. Job Requirements: The following requirements are those that are normally required for performance of the Mechanic position. Any disabled applicant or incumbent who does not meet one or more of the requirements, but who can perform the essential function of the job (with or without reasonable accommodations) shall be deemed to meet these requirements. Role in Food Safety: Follow plant GMP's at all times, ensure work area is secure. A. Physical Requirements: This position requires the following physical demands up to 90% of the time: Must be able to lift and carry 50 pounds, Must be able to carry 25 pounds up and down 21 stairs, Must be able to stand for 8 hours during a shift minus breaks and lunch, Must be able to work in hot, humid and/or cold areas, Must be able to stand, bend, squat, crawl, kneel, reach above shoulders, climb ladders and crawl in tight and awkward workplaces for long periods of time, Must be able to safely lift and carry a 51-pound stepladder, May be required to safely lift up to 100 pounds unassisted, Must have good hand-eye coordination. B. Non-Physical Requirements: Education: Bachelor's degree or mechanical certification preferred. High school diploma required. Experience: Minimum one year experience in a juice processing environment preferred. Special Skills: Able to work any shift, overtime and any or all days of the week in accordance with plant needs. Able to do electrical troubleshooting. Able to demonstrate safe use and skilled application of tools commonly used in the plant in accordance with established practices and procedures. Ability to use stick welder, wire welder, tig, plasma torch, oxygen acetylene torch. Ability to recognize and name stainless steel, mild steel, and aluminum. Ability to sharpen drill bits, chisels, and cutting tools. Excellent communication skills. Superb organizational skills and attention to detail. A demonstrated commitment to continuous improvement. Personally invested in the success of the business. Motivated, focused and accountable for results. Licensure, Registration, Certification: WA State Electrician Certification preferred. External Relationships: Vendors Internal Relationships: The mechanic must interact and communicate effectively with all employees of the organization. Effective communication is especially important with the shift supervisor. Direct & Indirect Reports: There are no direct or indirect reports. Back-up The position will be backed-up by other mechanics and/or the maintenance supervisor in event of absence.

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 Stripe's Applied ML organization is excited to offer new grad PhD machine learning engineering positions for 2026. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior. You will tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data. What you'll do Responsibilities Develop and deploy large-scale machine learning systems that drive significant business value across various domains. Engage in the end-to-end process of designing, training, improving, and launching machine learning models. Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally. Collaborate across teams to incorporate feedback and proactively seek solutions to challenges. Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively. Who you are A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2025 or spring/summer 2026. Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn. Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning. Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders. A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently. Preferred qualifications Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning. Published and presented peer-reviewed articles in top-tier venues. Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects. Familiarity with navigating new codebases and managing work across different programming languages. Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences. Application requirements Please submit the following with your application: A description of your work history (either a resume, LinkedIn Profile, website, or other portfolio of work) Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios. Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. The annual US base salary range for this role is $180,000 - $270,000. 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. 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

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

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

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 Generative Recommendations for Content products at Snap!What you'll do* Lead the vision and roadmap for generative recommendations by incorporating advanced generative models into Snap's large-scale recommendation systems, elevating content discovery and personalization across Spotlight, Discover and Friend Stories.* Design, build, and scale Generative modeling and build the next generation of the Ranking stack to improve discovery, personalization and user engagement across the platform.* Develop and apply state-of-the-art multimodal generative models (text, image, video, embeddings) to: + Enhance user and content understanding + Improve representation learning for content ranking + Enable new generative recommendation experiences* Drive innovation across Snap's content ecosystem by leading high-impact technical initiatives that apply generative AI to improve recommendation quality, personalization, and creator value.* Partner with engineers, product managers, research scientists, data science, and leadership to align on ML strategy and ensure technical investments support long-term company priorities.* Advance the ML tech stack for recommendations-improving scalability, efficiency, reliability, and overall system performance.* Keep up-to-date of emerging trends and advancements in the Generative AI landscape and proactively identify opportunities to leverage these developments to further enhance Snap's content capabilities* Advocate for and implement best practices in availability, scalability, experimentation rigor, operational excellence, and cost management.## Knowledge, Skills & Abilities* Deep understanding of generative architectures (e.g., transformers, foundational LLM or VLMs, auto-regressive decoders) and experience applying them to real-world production systems.* Strong foundation in machine learning, deep learning, and large-scale recommendation/ranking systems.* 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 complex technical challenges, influencing architecture decisions, and driving execution across multi-stakeholder environments.* Strong collaboration, communication, and mentorship abilities.## 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* Advanced degree in a related field such as machine learning, computer vision, or mathematics* Experience with large-scale recommendation/ranking systems, multimodal modeling, or retrieval architectures.* Experience with TensorFlow, PyTorch, or related deep learning frameworks* Background in integrating generative models into production pipelines* Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment* 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

Job DescriptionCentury West Engineering is seeking a civil engineer with public works design experience. Our ideal candidate is passionate about delivering our clients effective solutions that improve the vitality and accessibility of the communities we serve. Candidates will be comfortable using AutoCAD/Civil3D for transportation, recreational facilities, water, wastewater, and/or stormwater design projects. Project Engineers should thrive on working as part of a team to build their own skills while contributing positively to the development of those around them. Benefits: 2 to 4 weeks of vacation depending on experience 1 hour of sick leave for every 30 hours worked 8 paid holidays 3 days paid bereavement leave, as needed 401k retirement account match Health (PPO and HSA options), dental, and vision insurance fully covered for full-time employees and available for family and dependents Life and disability insurance Employee assistance program Bonus program Professional training and development opportunities Reimbursement for continuing education Flexible schedule Duties and Responsibilities: Collaborating with project managers and other design team members on engineering deliverables, calculations, and project closeout Providing actionable feedback on design work from other engineers and technicians Visiting project sites to observe field activities Managing small projects under the supervision of a project manager Qualifications: Bachelor's degree in civil engineering or appropriate discipline Registered Professional Engineer (PE) in Oregon, Washington, or Idaho Experience and knowledge of local design standards for transportation and/or utility projects An Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected status.