Project engineer jobs in Fairwood, WA - 2,579 jobs

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

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud‑based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the Role As a Consulting Engineer - Search, you will play a pivotal role in helping our customers realize the value of Elastic's Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end‑user experience. You'll collaborate with Elastic's Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximize the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates. What You Will Be Doing Translate business and technical requirements into scalable, outcome‑driven solutions built on the Elastic Stack. Lead end‑to‑end delivery of customer engagements - from discovery and design through implementation, enablement, and optimization. Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption. Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. Collaborate cross‑functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community. Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration Apply your expertise to optimize queries, tune clusters, and handle high query/indexing throughput at enterprise scale. Collaborate with product and engineering teams to identify product improvements, extensions, and defects based on field feedback Operationalize vector search (e.g., kNN, ANN, hybrid embeddings) with Elastic's vector capabilities and ML models or similar. Profile and tune queries for high‑QPS environments with sub‑second latency targets. What You Bring 5+ years as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies and concepts, including generative AI. Hands‑on experience deploying Elastic Search solutions or similar platforms (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e‑commerce site search engines). Strong experience in custom search solution design, query development, relevancy tuning, and NLP use cases. Expertise in distributed systems and large‑scale application infrastructure. Proficiency in at least one programming language; knowledge of open‑source machine learning/AI frameworks preferred. Knowledge or certification in Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, Kafka, Redis, VMs, Lucene. Familiarity with DevOps practices: Docker, Kubernetes, Terraform, CI/CD. Ability to manage delivery from proof‑of‑concept through production rollout, while mentoring client teams for long‑term success. Familiarity with modern NLP and AI ecosystems (transformers, Hugging Face, vector DBs like Pinecone or Weaviate) as applied to search. Strong communication and presentation skills, with experience working directly with customers to gather requirements and deliver solutions. Bachelor's, Master's, or PhD in Computer Science, Engineering, or related field, or equivalent experience. Comfortable working in highly distributed teams, both remote and on‑site when needed. May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs. Bonus Points: Elastic Certified Engineer certification. Experience at a Big 4 consulting firm. Hands‑on experience with Ansible, Terraform, JavaScript, ECK/Kubernetes. Familiarity with machine learning and AI applied to search solutions. Experience contributing to open‑source projects or documentation. Public speaking experience at conferences, meetups, or enterprise workshops. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company‑matched 401k with dollar‑for‑dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well‑being. The typical starting salary range for this role is: $110,900-$175,500 USD The typical starting salary range for this role in the select locations listed above is: $133,200-$210,700 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic (“DNR”), and the Luhansk People's Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. #J-18808-Ljbffr

Machine Learning Engineer - ML Ops Role Regrello is seeking proactive and industry‑experienced US‑based Machine Learning Engineers to join our AI‑research team. In this role, you will bridge the gap between our top‑tier Machine Learning Researchers and Software Engineers, moving fluidly between both disciplines to steward our groundbreaking Machine Learning and AI capabilities to real users in production. Together with your team members, you will lead the productionalization of our novel foundational deep learning model that is specifically designed for processing large, complex tabular datasets. The ideal candidate will have several years of experience bringing deep learning models to fruition in an industry setting, with a well‑developed intuition about how to best make it happen. By joining our team, you will have the opportunity to contribute to the advancement of manufacturing practices on a global scale. You will be at the forefront of creating cutting‑edge solutions that have a direct impact on how organizations optimize manufacturing and supply chain processes. This is an individual contributor role, with the potential to take on additional responsibilities in the future. Company Regrello is a 60‑person startup reimagining automation in supply chains, in which companies still communicate about $13T of annual shipments almost entirely via email. This is a $220‑billion, Amazon‑sized market opportunity that's been largely overlooked for over 20 years. Our team has experience building billion‑dollar companies and includes veterans from Oracle, Palantir, Apple, Amazon, and Microsoft. Our customers include some of the largest electronics manufacturers in the world. We're funded by Andreessen Horowitz, Tiger Global, Dell, Bloomberg, and Ram Sriram (first investor in Google). With a 2‑3 year runway, we offer startup agility and longer‑term stability. Product We are building a global operating network that finally enables supply‑chain companies to collaborate within one platform. Our workflow engine empowers non‑technical industry experts to model their complex manufacturing and operational processes. Our forms engine enables unprecedented data exchange between companies. Our AI engine monitors the complex go‑ings‑on across thousands of workflows, identifies inefficiencies, and drives optimization in a constantly‑shifting supply chain landscape. Quote one user: “I've been waiting for this for 20 years.” Culture and Compensation We are a customer‑obsessed, product‑driven company that is building a flexible, hybrid/remote culture to enable the brightest minds in the industry. We are particularly interested in candidates based in our hubs of Seattle, San Francisco, and New York, but we will consider candidates who live anywhere in the US. We have industry‑leading compensation packages, including equity and health benefits. About you Bachelors in Computer Science or Software Engineering with a 3.5+ GPA. 3+ years of industry experience architecting MLOps pipelines for Deep Learning models. Strong understanding of training models in distributed multi‑node GPU environments. Experienced with data engineering technologies, such as Airflow, Spark, Trino, Flink, or BigQuery. Familiarity with Python and PyTorch, Tensorflow, or JAX. Excellent written and verbal communication skills, capable of articulating complex technical concepts to diverse audiences. A strong desire to learn, grow, and drive impact on real global problems-and to help others around you do the same. Non‑requirement: You don't need any experience with supply chain or manufacturing-we'll teach you that part! Responsibilities Manage the deployment of AI models to solve real‑world complex problems in global supply chain and manufacturing. Collaborate with cross‑functional teams including Engineering, Design, Product Management, and industry experts to build high‑quality product features that can be used by major companies around the world. Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic startup environment. Help shape the company by participating in hiring decisions and contributing to our culture of continuous learning and growth. $165,000 - $220,000 a year We offer a competitive salary range of $165,000 - $220,000, based on experience, qualifications, and location. In addition, we offer equity in our dynamic startup to reward your contributions to our success. Our benefits package includes health insurance (medical, dental, vision) and generous paid time off. If this sounds exciting, please apply, and we'll get back to you promptly if we see a fit! #J-18808-Ljbffr

Grady Excavating is a heavy civil construction company providing trucking and earthwork services for both public and private projects in the Northwest. We are looking for a Project Engineer. The successful candidate will play an important role in meeting our goals, to be safe, efficient, and productive. WHAT YOU'LL DO: -Project Planning and Control -Estimating, obtain price quotes, take-offs, site visits and other duties as required -Produce, forward, and track Submittals, ensuring that the material submitted meets Owner's spec -Track Project Progress; Change Orders, RFI, progress billing, schedule updates, material invoice approvals, and general project administration -Interact and actively communicate with customers, suppliers and vendors EXPERIENCE AND SKILLS: Strong skills in Project Management, Project Planning, and Project Engineering Effective Communication skills to liaise with stakeholders and project teams Ability to work on-site Strong problem-solving skills Familiarity with construction safety standards and regulations Experience working on WSDOT and Sound Transit projects preferrred. Familiarity with construction safety standards and regulations • Computer proficient, Including Microsoft Office products, Procore, and similar programs • Able to read drawings and specifications, perform take-offs • Excellent writing and organizational skills and the ability to learn fast. • Possess, or be able to Obtain, a Valid Washington Driver's License with an acceptable driving record Compensation: We offer a very competitive benefits package including medical, dental, vision, life insurance and 401(k), as well as paid vacation. You will be provided with a Company pick-up truck, phone, laptop for use. Salary range $90,000 to $120,000 annually, depending on experience. No calls, please. We will contact you if we desire to arrange an interview with you. Thank you. Grady Excavating, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

Meet the Team We are an agile team with a startup feel and a strong bias for action. We move fast, embrace failure as part of the process, and stay focused on solving real‑world problems for defenders on the front lines. Our team blends deep expertise in AI, cybersecurity, and platform engineering. We are driven by a shared belief that the only way to outpace hackers is through AI advancements that free up humans to tackle real threats and more challenging problems. This is a place for builders who thrive in ambiguity, challenge the status quo, and care deeply about making a meaningful impact. If you're energized by tough problems, excited to shape the future of cyber defense, and eager to work alongside passionate experts, you'll feel right at home. Your Impact Design and build agentic workflows that combine detection signals, context, and playbooks to automate threat triage and response. Prototype and test new AI features -from enrichment agents to incident summarization-working closely with security SMEs to validate real-world utility. Develop an AIOps pipeline to enable rapid experimentation with prompts, models, and RAG systems, using clear, measurable success criteria to evaluate iterations. Evaluate model outputs for accuracy, reliability, and usability, then prototype and deploy improvements based on structured feedback and testing. Collaborate with product and platform teams to co‑design AI‑enhanced TDIR workflows that are intuitive, scalable, and immediately useful to analysts. Contribute to the core architecture powering AI‑native security operations, helping to shape how Splunk and Cisco scale trusted automation across the enterprise. Minimum QualificationsSecurity: Security Operations Experience - Understanding of security operations concepts, including detection, triage, investigation, and response. Security Telemetry Fluency - Comfortable working with common data sources such as endpoint logs, network traffic, authentication events, or cloud audit trails-and understanding how they're used in detection and investigation workflows. Engineering Experience: Senior‑Level Python Development - Consistent record building scalable backend services, APIs, and automation workflows in Python. DevOps/SecOps Practices - Proficient with CI/CD pipelines, version control (GitHub/GitLab), Jira, and automated testing frameworks. Security Automation - Experience building and integrating with product APIs to drive SecOps efficiency. Cross‑Functional Collaboration - Comfortable partnering with product managers, security SMEs, and engineers to iterate quickly and deliver impactful solutions. AI/LLM: Prompt Engineering & LLM Integration - Skilled in crafting, testing, and optimizing prompts for large language models. Ideally, you have contributed to or shipped an AI‑powered feature or product, and understand the nuances of integrating LLMs into real‑world workflows-including usability, performance, and trust considerations. AI Evaluation & Experimentation - Capable of designing experiments to evaluate LLM output for accuracy, usability, performance, and cost Preferred Qualifications SOAR/SIEM Familiarity - Experience working with security data and/or tools such as SIEM/SOAR platforms (e.g., Splunk), whether from a practitioner, developer, or automation perspective. Splunk Enterprise Security (ES) Experience - Familiarity with ES architecture, correlation searches, notables, and risk‑based alerting. Bonus if you've worked with Splunk's APIs, internals, or have experience developing on the Splunk platform. Security Operations Background - Former Tier 3 SOC analyst or equivalent, with experience automating SecOps workflows and building scalable, resilient detection infrastructure. RAG and Vector Search Implementation - Hands‑on experience developing retrieval‑augmented generation pipelines and working with vector databases (e.g., FAISS, Pinecone). LLM Fine‑Tuning and Embeddings - Exposure to fine‑tuning large language models or generating custom embeddings for domain‑specific tasks in cybersecurity. Security Data Engineering - Experience building and maintaining pipelines for ingesting, parsing, and normalizing large‑scale security telemetry. UX and Human Factors for Analysts - Background or interest in designing intuitive, AI‑assisted analyst workflows with a focus on usability, trust, and decision support. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $291,500.00 to $369,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees 1 paid day off for employee's birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non‑exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $291,500.00 - $424,400.00 Non‑Metro New York state & Washington state: $259,400.00 - $377,600.00 For quota‑based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affidavit Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A technology company specializing in verifiable computing is seeking a Research and Development Engineer. The role involves leading research on Trusted Execution Environments and designing production-grade systems. Candidates should have a deep understanding of TEEs, strong distributed systems experience, and proficiency in Rust and Go. The offer includes a competitive salary range of $190,000 - $220,000, along with a comprehensive benefits package including flexible work options. #J-18808-Ljbffr

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

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

:: About Crown: CROWN Cork & Seal USA, Inc., a wholly owned company of Crown Holdings, Inc. is a global leader in the design, manufacture, and sale of packaging products for consumer goods. At Crown, we are passionate about helping our customers build their brands and connect with consumers around the world. We do this by delivering innovative packaging that offers significant value for brand owners, retailers, and consumers alike. With operations in 39 countries employing approximately 23,000 people and net sales of approximately $12 billion, we are uniquely positioned to bring the best practices in quality and manufacturing to our customers to drive their businesses locally and globally. Sustaining a leadership position requires us to build a team of highly talented, dedicated, and driven individuals. Division Overview: Crown's Beverage Division manufactures a variety of packaging solutions for soft drinks, craft beers, coffees and teas as well as new energy drinks. Crown Beverage leads the packaging industry with innovative technologies that redefine how the world looks at beverage cans. With a large printable surface area and a wide range of sizes, shapes and decorating options, our aluminum cans are the perfect packaging format to create compelling brand presence where it counts. Here is your chance to join the Crown Beverage Division. Location: Olympia Position Overview: The Electrical Supervisor works closely with all aspects of the manufacturing process from the raw material to the finished product and support daily productions activities. This is a supervisory position, which would include the daily supervision of plant electricians as well as the management of plant construction, modifications, appropriations and equipment installation. Duties And Responsibilities: Reporting directly to the Plant Engineer, the Electrical Supervisors responsibilities would include, but not be limited to, the following: Applies electrical theory and related knowledge to test and modify developmental or operational electrical machinery, electrical control equipment and circuitry in industrial plant setting Oversees assembly and testing of experimental motor control devices, switch panels, transformers, generator windings, and other electrical equipment and components according to engineering data and knowledge of electrical principles Diagnoses cause of electrical or mechanical malfunction or failure of operational equipment and performs preventative and corrective action Develops diagrams, drawings and specifications for modifications or expansions and directs personnel performing routine installation and maintenance duties Plans, directs and records periodic testing; recommends or initiates modification or replacement of equipment as needed Directs, coordinates, develops, trains, coaches and assesses employees Supports and encourages employees to work safely, efficiently and effectively Performs other job-related duties as required or assigned Qualifications: In addition to the specific responsibilities listed above, the ideal candidate will possess the following: Minimum Requirements Bachelor's level new graduate in Engineering or equivalent discipline with two or more related co-op or internship work assignment in a manufacturing setting would be an alternate for the 5-7 years of work experience. Three to five years of experience in a high-speed manufacturing environment At least two years of proven supervisory experience Working knowledge of motor controls, VFD's, and DC drives. Installation, set-up and programming of PLC's Ability to design, modify and plot using AutoCAD software Process control systems - set-up and program applications (Honeywell) Instrumentation and calibration knowledge Facility power distribution Knowledge of building facilities (compressed air, water, hydraulics, vacuums, heating and cooling) Knowledge of control systems and sub-systems Must be available to work various shifts if needed and be able to work nights, weekends, and overtime to cover absences or provide additional support Approximately 5% overnight travel Preferred Requirements Packaging industry experience Electrical Journeyman's certification Green or black belt certification in Six Sigma Competencies Ability to work independently or with a team Strong problem-solving skills through an individual and/or collaborative approach Strong people and teamwork skills. Candidate should be able to demonstrate and articulate relevant experience in collaboration and team support. Must be able to look at new solutions and "think outside the box" Effective leadership skills such as conflict resolution, communication, decision making, etc. Demonstrated employee relations skills and the ability to motivate people Excellent time management and project management skills as well as the ability to multi-task Excellent oral and written communication skills Strong computer skills and working knowledge of various Microsoft programs (Excel, Word, Access, etc.) The ideal candidate will have a strong commitment to safety, quality and the knowledge of industrial electrical systems and devices, a positive attitude and a willingness to learn. Mechanical aptitude, knowledge and skills are key to this positions. Physical Requirements While performing the duties of this job, the associate is regularly required to sit, stand, walk, use hands, reach with hands and arms, and may be required to balance, stoop, kneel, crouch, or crawl The associate may lift and/or move up to 10 pounds Specific vision abilities required by this job include close vision, distance vision, color vision and ability to adjust focus Working Conditions Generally works in a plant environment but will be required to perform some job duties inside a typical office setting While performing the duties of this job, associate will be exposed to power sources While performing the duties of this job, the associate may be exposed to moving mechanical parts and vehicular traffic The associate may be exposed to a wide range of temperatures The noise level is frequently loud Possible Equivalent Military Titles Electronics Technician; Radar and Sonar Operator; Electronic Instrument and Equipment Repairer; Communications Equipment Operator; Avionics Technician *Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Salary range for this position is: $103,869 - $127,523 *Actual salary will be determined based on skill and experience level* Benefits: Crown offers competitive pay, comprehensive benefits including free company paid health insurance for employees as well as company matched 401(k).

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

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

A leading tech company in Seattle is looking for a Principal Machine Learning Engineer to enhance AI-powered contract intelligence solutions. The candidate should have over 10 years of experience in building machine learning products and at least 4 years in ML frameworks such as Pytorch and TensorFlow. This role offers a hybrid work environment promoting flexibility, teamwork, and professional growth, backed by comprehensive compensation and benefits. #J-18808-Ljbffr

The Schuster Group is seeking a Project Manager to lead internal development initiatives and third-party fee-based projects across multifamily, mixed-use, office, and retail asset types. This role oversees projects from early design through construction closeout, with a strong emphasis on managing contractors and consultants, entitlement, budgeting, scheduling, quality control, and comprehensive documentation. This is a great fit for someone who thrives in a collaborative, fast-paced environment, enjoys solving complex problems, and is motivated by delivering high-quality projects that positively impact communities. What You'll Do Project Leadership Manage all phases of development and construction-from concept and design to turnover and warranty. Conduct research, analyze findings, and provide clear recommendations for project direction. Lead design meetings, ensure alignment across teams, and identify potential issues early with proactive solutions. Oversee budgets, schedules, proformas, and monthly client reporting for assigned projects. Consultant & Contractor Management Identify and evaluate architectural firms, consultants, and general contractors. Prepare and manage RFQs/RFPs, lead interviews, and negotiate service contracts. Coordinate preconstruction processes, budget meetings, and weekly owner meetings. Review and approve construction draws, change orders, and contract documents. Conduct regular site visits to monitor quality, progress, safety, and compliance. Execution & Quality Management Ensure company standards for documentation, organization, and reporting are met on every project. Maintain quality control-from jobsite appearance to vendor compliance with specifications. Manage closeout activities, including: punch lists, turnover, warranty coordination, and final documentation. Complete post-mortem project reviews and integrate learnings into future workflows. Client Service & Internal Collaboration Deliver exceptional customer service on every project, strengthening client relationships. Communicate clearly with clients to identify issues, propose solutions, and ensure overall satisfaction. Partner closely with internal teams across consulting, marketing, and other departments to maximize project success. Support continuous improvement by recommending updates to company policies, standards, and best practices. Who You Are Experienced in real estate development and/or construction management. Skilled in contractor/consultant coordination, project budgeting, scheduling, and documentation. Strong communicator with exceptional follow-through and organizational skills. Adept at navigating complex problems, managing multiple priorities, and keeping projects on track. Committed to quality, professionalism, integrity, and excellent client service. Alignment with The Schuster Group values: Innovation, Quality, Perfection, High Performance, Integrity, Success, Financial Stewardship, Sustainability, and Community Impact. Why The Schuster Group We are committed to innovation, sustainable practices, and enhancing the communities we serve. Our team is collaborative, supportive, and driven to deliver meaningful, high-quality projects. Equal Opportunity Employer We are proud to be an equal opportunity employer and are committed to creating an inclusive, respectful workplace for all.

JOB TITLE: Project Manager REPORTS TO: Senior Project Manager or Vice President STATUS: Exempt SUMMARY: The Project Manager is responsible for overseeing construction activities on assigned projects by planning, organizing, and implementing site specific safety programs, project control systems, subcontractor and supplier management, purchasing, and scheduling efforts. The Project Manager is the one ultimately responsible for ensuring that the project is completed in a timely manner in strict accordance with plans, specifications, local codes, budget, and schedule constraints. The Project Manager coordinates and oversees the work of the project team. The Project Manager must be able to work independently but also succeed as part of a project team. One of the responsibilities of the Project Manager includes being the key representative for the Company for all assigned projects. This position requires a strong understanding of construction methods, excellent documentation skills and good interpersonal skills to communicate effectively with all members of the project (both internal & external). The Project Manager must be a flexible and adaptable team-player. KEY INTERFACES: Project Engineer, Field Engineer, Superintendent, Executive Management, Subs/Supplies, Owner/Client/Engineer ESSENTIAL DUTIES AND RESPONSIBILITIES: 1. Communicates and helps to enforce the company's Health & Safety Program 2. Demonstrate his/her own commitment to an injury-free workplace through own actions 3. Maximize the use of all company resources, including craft, staff, and equipment 4. Assists in hiring, training, and development of staff personnel 5. Provide project staff with opportunity, experience, guidance, training, and regular evaluation for career development. 6. Require individual accountability for staff operational performance. 7. Be proactive in striving for continuous improvement in all operations and administrative processes, and ensure that quality standards and goals are met. 8. Develop and maintain open communications with Project Administrators, Project Engineers, Superintendents, and Safety Personnel 9. Oversee the preparation of work plans and scheduling to determine manpower levels, material quantities, and equipment requirements Advise senior level management of potential problems, work interferences, schedule difficulties, etc.; lead the efforts to resolve such problems when encountered Develop and maintain good business relations with the project Owner/Client/Engineer, customers, vendors, subcontractors, and/or other associates of the project. 12. Establish project objectives, policies, procedures and performance standards in accordance with Company policies, goals and principles. 13. Manage all financial aspects of the project including prompt, accurate and timely pay estimates, accounts receivable, positive cash flow, and minimized retention. 14. Ensure accurate cost and revenue reporting and forecasting procedures are practiced in accordance with company policy. Prepare accurate monthly cost and revenue reports. 15. Maintain control of the project schedule. Ensure that milestones are met and that critical items of work are accomplished on time or ahead of schedule. 16. Manage contract administration to ensure all contract, permit, and legal requirements are met including schedule, document control, change order/claims management, daily reports/diaries, as-built documents, submittals, and weekly project meetings. 17. Manage project administration to ensure all operational requirements are met and in accordance with company policy and procedure including cost management, quality control, recordkeeping, payroll, accounting and reporting functions, survey, job engineering, and purchasing. 18. Assist company estimating staff in bidding and winning work. 19. Market the Company's expertise while continually seeking new Contract opportunities. 20. Performs additional assignments per the Senior Project Manager or Vice Presidents direction ESSENTIAL JOB QUALIFICATIONS REQUIRED SKILLS: Strong knowledge of computers and experience with MS Office Suite including Word, Excel, and PowerPoint; Strong written and verbal interpersonal communication skills; strong ability to lead and motivate others; good time management & organizational skills; ability to work independently or as part of a team; strong work ethic, positive attitude, dependable, ethical, and having high integrity; ability to maintain discretion and confidentiality at all times; good attention to detail, with the ability to recognize discrepancies; understanding of cost management processes, planning, and scheduling. PREFERRED SKILLS: Experience in HCSS Heavy Job, Heavy Bid, Plan Grid, Bluebeam, Microsoft Project, and Vista Viewpoint. EDUCATION AND EXPERIENCE: This position requires 8+ years of experience in the heavy civil/infrastructure industry. Individuals must have at least 5 years of supervisory experience with exposure to various construction disciplines and safety regulations and know how to apply them. Experience in leading multi-million dollar contracts, including ownership of operations, project administration, client relations and all other scopes of work relative to large construction projects. Individuals should have demonstrated expertise in the use of cost management systems, including ability to review, evaluate, and prepare cost management reports and labor trend reports. A Bachelor's Degree in Construction Management, Engineering, or equivalent is not necessarily required but is favorable; however, proven relevant work experience in the Heavy Civil industry will be primarily, and strongly, considered. BENEFITS PACKAGE: Johansen offers an excellent benefits package which includes: 1. Competitive salary 2. Use of a company vehicle and gas card for business related travel 3. Health Dental and Vision Insurance for the employee and his/her eligible dependents 4. 401k savings plan with company match on contributions up to 4 percent of annual base wages 5. Paid Time Off program which allows individuals to accrue at least 15 days per year 6. Paid Holidays (in addition to the Paid Time Off program) 7. Participation in the Company's Project Specific Incentive Program (PSIP) EQUAL OPPORTUNITY EMPLOYER: Johansen Construction Company is an equal opportunity employer. All individuals will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status, such as race, religion, color, national origin, sex, or age. PHYSICAL DEMANDS: To successfully perform the essential duties of this position, an individual must be able to perform in an active construction environment, regularly sit, stand, walk, talk and listen, and frequently lift and carry objects up to 10 pounds and occasionally lift and carry objects up to 30 pounds. Individuals must be able to access all points of a construction site in a wide range of work environments. LIMITATIONS AND DISCLAIMER: The above job description is meant to describe the general nature and level of work being performed; it is not intended as an exhaustive list of all duties, responsibilities and required skills for the position. Employees will be required to follow any other job-related instructions and to perform other duties requested by their supervisor in compliance with Federal and State Laws. Requirements are representative of minimum levels of knowledge, skills and/or abilities necessary to perform each duty proficiently. Continued employment remains on an “at-will” basis, which means that individuals are not guaranteed employment for any specific length of time, and either the individual or the company may terminate employment at any time, with or without cause, and with or without notice.

A leading technology corporation in Seattle is seeking an Applied Machine Learning Engineer to enhance the intelligence behind Siri and other products. The role requires a strong background in machine learning and software engineering. Ideal candidates hold an MS or PhD in Computer Science and possess experience with technologies like PyTorch and TensorFlow. Competitive compensation includes options for stock awards and various employee benefits. #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

A defense technology company is seeking an experienced AI Engineer to work on their Lattice software platform. This role involves developing and improving machine learning algorithms, working with cross-functional teams to solve complex problems, and pushing AI solutions into production. The ideal candidate holds a BS in a related field with over 5 years of relevant experience. A competitive salary range of $220,000 - $292,000 USD is offered along with comprehensive benefits including healthcare and professional development. #J-18808-Ljbffr

A leading technology company is seeking a Staff Machine Learning Engineer for their Seattle location. This role involves leading efforts in the fine-tuning of multimodal systems, including diffusion and video models. The ideal candidate should possess strong experience building machine learning systems, coupled with proficiency in Python and deep learning frameworks like PyTorch. A master's degree is required, with a PhD preferred. Competitive compensation and comprehensive benefits are offered, reflective of the candidate's experience and qualifications. #J-18808-Ljbffr

A leading technology company in Seattle is looking for a Principal Machine Learning Engineer to enhance their content relevance systems. The ideal candidate will have extensive experience in machine learning, strong programming skills, and the ability to lead a technical team. This position offers a dynamic work environment alongside other talented professionals dedicated to innovation and excellence. Join us to contribute to transformative technologies that enhance communication and engagement. #J-18808-Ljbffr