Mechanical design engineer jobs in Olympia, WA - 1,341 jobs

A leading aerospace company is seeking a Senior Structures Engineer in Seattle to lead the design and testing of primary and secondary structures for a reusable space vehicle. The ideal candidate will have over 8 years of experience in mechanical/structural design and a passion for advancing space exploration. This onsite role requires effective coaching of junior engineers and collaboration with cross-functional teams. A competitive compensation range of $140,959 to $197,342 is available. #J-18808-Ljbffr

Do you want to be part of the AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep‑learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. You will be responsible for building the next‑generation Neuron compiler that transforms ML models written in frameworks such as PyTorch, TensorFlow, and JAX to run on AWS Inferentia and Trainium servers in the Amazon cloud. Your work will solve difficult compiler‑optimization problems to achieve optimum performance for a wide variety of ML model families, including large‑scale language models like Llama and Deepseek, stable diffusion models, vision transformers, and multi‑model architectures. You will need to understand the internals of these models deeply to make informed compiler‑generation decisions and will partner in technical communication with internal and external stakeholders. The role also includes involvement in pre‑silicon design, bringing new products and features to market, and ultimately making the Neuron compiler both highly performant and easy to use. Required experience includes proficiency in object‑oriented languages such as C++ or Java. Experience with compilers, building ML models on accelerators (e.g., GPUs), or technologies like OpenXLA, StableHLO, and MLIR is a bonus. Explore the product and our history: ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* AWS Utility Computing (UC) provides product innovations-from foundational services such as Amazon S3 and EC2 to new product innovations that set AWS's services apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, IoT, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions. Key job responsibilities Design, implement, test, deploy, and maintain innovative software solutions to enhance Neuron compiler performance, stability, and user interface. Work closely with chip architects, runtime/OS engineers, scientists, and ML Apps teams to deploy state‑of‑the‑art ML models on AWS accelerators with optimal cost/performance. Participate in building and improving open‑source software (e.g., StableHLO, OpenXLA, MLIR) to pioneer optimization of advanced ML workloads on AWS software and hardware. Build innovative features that deliver the best possible experience for developers worldwide. A day in the life Design and code solutions to drive efficiencies in compiler architecture, creating optimization and verification passes. Build features that surface AWS accelerator capabilities to developers and implement tools to analyze numerical errors. Resolve root causes of compiler defects and participate in design discussions and code reviews. Communicate with internal and external stakeholders, including open‑source communities. Work in a startup‑like development environment focused on high‑impact work. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and are building an environment that celebrates knowledge‑sharing and mentorship. Senior members provide one‑on‑one mentoring and thorough, but kind, code reviews. We care about career growth and strive to assign projects that help team members develop expertise and feel empowered to take on more complex tasks in the future. Basic Qualifications 3+ years of non‑internship professional software development experience. 2+ years of non‑internship design or architecture experience (design patterns, reliability, and scaling) of new and existing systems. Experience programming with at least one software programming language. Preferred Qualifications Master's degree or PhD in Computer Science or a related technical field. 3+ years of experience writing production‑grade code in object‑oriented languages such as C++/Java. Experience in compiler design for CPU/GPU/Vector engines/ML‑accelerators. Experience with the open‑source compiler toolset like LLVM/MLIR. Experience with technologies such as PyTorch, OpenXLA, StableHLO, JAX, TVM, deep‑learning models, and algorithms. Experience with modern build systems like Bazel/CMake. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $129,300/year in the lowest market up to $223,600/year in the highest market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon may provide equity, sign‑on payments, and other compensation as part of a total package, along with medical, financial, and other benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. #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

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

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? 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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

# Machine Learning Engineer - Data Foundation and AIEngineeringNew YorkFull-time We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.The Data Foundation & AI team builds advanced ML/AI models and applications that enable product teams to deliver intelligence at scale. We design infrastructure and abstractions that make AI development faster, more reliable, and more impactful. From embeddings and representation learning to applied AI systems, our work provides the building blocks for the next generation of financial services on Plaid.You'll be a machine learning engineer on the Data Foundation & AI team. In this role, you will design, build, and scale advanced ML/AI systems that power Plaid products and applications. Your work may span developing reliable distributed training and serving systems, improving ML operations at scale, and building AI-powered applications that enable new product experiences.## Responsibilities* Building and scaling advanced ML/AI systems that power core Plaid products and applications used by millions of consumers.* Driving impact at scale by improving distributed training, serving, and ML operations to make Plaid's AI capabilities faster, more reliable, and more widely available.* Developing new AI applications that enable innovative product experiences across fintech.* Tackling 0 to 1 problems where you explore new approaches, as well as scaling 1 to 10 systems for reliability and efficiency.* Collaborating with some of the strongest MLEs at Plaid in a high-ownership, bottom-up driven team.* Experimenting with cutting-edge ML and AI techniques while balancing practical productionization and measurable business impact.## Qualifications* 1-3 years of experience training, deploying, and scaling ML/AI models in production environments.* Strong experience with distributed systems and ML operations - from large-scale training to low-latency serving and monitoring.* Proficiency in Python and modern ML frameworks (e.g., PyTorch), with the ability to implement and optimize complex models.* Hands-on experience building or scaling ML/AI infrastructure, pipelines, or reusable platforms that support multiple teams.* Curiosity and drive to experiment with advanced AI techniques (e.g., embeddings, retrieval, generative modeling) while staying grounded in production impact.* Experience applying ML/AI in fintech or similarly regulated industries is a plus.* Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes.The target base salary for this position ranges from $186,000/year to $236,400/year in Zone 1. The target base salary will vary based on the job's location.Our geographic zones are as follows:Zone 1 - New York City and San Francisco Bay AreaZone 2 - Los Angeles, Seattle, Washington D.C.Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San DiegoZone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.Please review our Candidate Privacy Notice .New YorkEngineering Manager - Machine LearningNew YorkExperienced Engineering Manager - Customer Growth & ExperienceNew YorkMachine Learning Engineer - CreditNew YorkSenior Machine Learning Engineer - CreditNew YorkSenior Machine Learning Engineer - Finance ManagementNew YorkStaff Machine Learning Engineer - CreditNew YorkStaff Machine Learning Engineer - Fraud DataRaleigh-DurhamSenior Machine Learning Engineer - CreditSan FranciscoEngineering Manager - Machine LearningSan FranciscoEngineering Manager - Machine Learning InfrastructureSan FranciscoExperienced Engineering Manager - Customer Growth & ExperienceSan FranciscoMachine Learning Engineer - CreditSan FranciscoSenior Machine Learning Engineer - CreditSan FranciscoSenior Machine Learning Engineer - Finance ManagementSan FranciscoStaff Machine Learning Engineer - CreditSan FranciscoStaff Machine Learning Engineer - Fraud DataSeattle, WAStaff Machine Learning Engineer - Fraud DataWashington DCStaff Machine Learning Engineer - Fraud Data #J-18808-Ljbffr

A leading, employee-owned commercial general contractor in the Pacific Northwest is seeking a Senior Project Engineer to support complex construction projects in the Seattle market. This role is ideal for a seasoned PE ready to take on increased responsibility, serve as a technical leader on project teams, and progress toward a Project Manager role. The Senior Project Engineer will play a key role in managing project documentation, coordinating with design and trade partners, supporting cost and schedule control, and ensuring work is executed safely, efficiently, and in alignment with project goals. Key Responsibilities Support project management teams through all phases of construction, from preconstruction through closeout Manage and process RFIs, submittals, drawing logs, and document control using industry-standard platforms (e.g., Procore, Bluebeam) Assist with cost tracking, change management, pay applications, and buyout support Coordinate closely with field teams to resolve constructability issues and support day-to-day operations Participate in subcontractor coordination meetings and assist with schedule updates and look-ahead planning Support quality control efforts, site logistics planning, and safety compliance initiatives Interface with owners, architects, engineers, and inspectors to maintain alignment and timely issue resolution Contribute to project closeout documentation, commissioning support, and turnover processes Act as a mentor to junior project engineers and interns as needed Qualifications Bachelor's degree in Construction Management, Engineering, or a related field 3-8+ years of experience with a commercial general contractor or construction management firm Experience working on mid- to large-scale commercial construction projects ($20M+) Strong understanding of construction sequencing, means and methods, and document control processes Proficiency with construction technology platforms (Procore, Bluebeam, MS Office required) Excellent organizational, communication, and problem-solving skills Ability to work collaboratively in a fast-paced, team-oriented environment Preferred Experience Experience on complex commercial projects such as life sciences, healthcare, higher education, or large mixed-use developments Exposure to LEED, sustainability initiatives, or mission-critical environments Demonstrated interest in career progression toward Project Manager Why This Opportunity Join a highly respected, employee-owned contractor with a strong presence in the Seattle market Work on high-profile, technically challenging projects Clear career development path with strong mentorship and leadership support Competitive compensation, performance incentives, and comprehensive benefits

A leading software company is looking for a Machine Learning Engineer to develop and implement advanced machine learning algorithms that enhance AI functionalities in their products. The ideal candidate will have a degree in Computer Science and expertise in Python or Java, along with experience in building scalable machine learning models. This role offers competitive compensation based on location within the United States, alongside numerous benefits to support employees generally. #J-18808-Ljbffr

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

At IUNU ("you knew"), we're revolutionizing the agriculture industry through cutting‑edge AI‑driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking an Applied Machine Learning Engineer for our AI team to develop products for our clients and the greenhouse industry. Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we'd like to meet you. Your ultimate goal will be to shape and build efficient self‑learning applications. Responsibilities Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine‑tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements 3-5 years of proven experience as a Machine Learning Engineer or a similar role Strong experience with Deep Learning Understanding of data structures, data modeling, and software architecture Deep knowledge of math, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit‑learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem‑solving skills BSc in Computer Science, Mathematics, or a similar field; a Master's degree is a plus Diversity At IUNU, we're committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths. #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 Ad Marketplace team at Snap!What you'll do:* Drive the technical roadmap of our Ad Marketplace and Pacing teams, advancing the sophistication of our systems, optimize ad spend and delivery, and make our auction more efficient.* Design, implement, and scale machine learning models and control systems to efficiently and optimally run our ad marketplace.* Collaborate with cross-functional teams to set and align on machine learning strategies to meet company objectives.* Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways.* Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services.* Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management.* Provide technical direction that influences the entire ML community.Knowledge, Skills & Abilities:* Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain.* Experience leading teams or roadmaps focused on recommendation, personalization, or generative AI.* Ability to design, train, deploy, and optimize state-of-the-art machine learning models for performance, reliability, and scale.* Excellent programming and software engineering skills, with an emphasis on clean design and production-readiness.* Ability to quickly learn new technologies and apply them effectively in ambiguous problem spaces.* Skilled at solving ambiguous problems and leading and executing complex technical initiatives.* Strong collaboration, communication, and mentorship abilities.Minimum Qualifications:* 9+ years of post-Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience.* 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization.* Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases.Preferred Qualifications:* Advanced degree in a related field such as machine learning, computer vision, or mathematics.* Experience in online advertising (including ad ranking, auction, marketplace optimization) or other online two-sided markets (e.g., job markets and matching).* Experience with TensorFlow, PyTorch, or related deep learning frameworks.* Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments.* Experience contributing to AI publications.If you have a disability or special need that requires accommodation, please don't be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.:The base salary range for this position is $276,000-$414,000 annually.:The base salary range for this position is $262,000-$393,000 annually.:The base salary range for this position is $235,000-$352,000 annually.This position is eligible for equity in the form of RSUs. #J-18808-Ljbffr

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

For 40 years, FORMA Construction Company has been serving public agencies and private businesses across Western Washington. To expand our passion for working in local communities, we are seeking a highly motivated Project Engineer. PRIMARY RESPONSIBILITIES Drawing distribution, posting and routing. RFI processing and distribution. Review and distribution of submittals. Creation of submittal log. Maintenance of logs for RFIs, Submittals & ASIs. Assembly of O&M and warranty information. Assembly of any required environmental documentation. Maintenance of concrete pour logs. Collection & maintenance of job progress photos and as-built documentation in the appropriate system/software. Jobsite administration as required by the PM and/or Superintendent. Collection of units for forecasting. Preparation of and participation in preinstallation conferences. Field QC reviews and coordination of field installations. Distribution of 3 week schedules and Foreman's meeting minutes to subcontractors. Setup & maintenance of jobsite filing system. Development and coordination of punch lists for project closeout. Pricing of minor change orders as directed by the PM or SPM. Assembly of pay applications. CPM updates Subcontractor dispute resolution. Viewpoint JC/SL maintenance. Assembly of projections & financial analysis. Cost issue log maintenance. Drafting subcontracts and PO of minor scopes of work with PM/SPM. BENEFITS FORMA Construction Company has a comprehensive benefit package including, but not limited to: Competitive salary with bonus opportunities. 100% employer-paid healthcare premiums for medical, vision, and dental. 5 weeks paid vacation per year. Safe and sick leave Parental leave Paid holidays Employer matched 401k, 4% match. Cell phone reimbursement Tuition reimbursement program Parking services Employee assistance program Fun company culture and company events Candidates must submit a cover letter and resume. This position is in-person at the worksite, full time, Monday-Friday. Must be authorized to work in the US and provide required supporting documentation. Possession of a valid driver's license is required to perform the essential functions of this position. Employment with FORMA is contingent upon passing a pre-employment substance abuse screening. FORMA is proud to provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Senior Mechanical/Applications EngineerJob Description Under the direction of the Chief Engineer, or other supervisor as directed, the Senior Mechanical/Applications Engineer is responsible for creating and updating product and component designs using PTC Creo Parametric and Windchill PLM software to support a dynamic manufacturing environment. This individual will also provide technical customer service and troubleshooting support related to pump systems and their applications. Working independently or supervising Mechanical Engineers, the Senior Engineer will develop new products, perform design calculations and manufacturability analysis, and use product design and function specifications to deliver solutions that meet customer needs. Essential Roles & Responsibilities · Create 3D mechanical models and assemblies using PTC Creo Parametric Software based on sketches, specifications, technical data, and customer needs. Utilize advanced features such as Options Modeler and Simulate extensions. · Create fully detailed 2D mechanical drawings using PTC Creo Parametric and AutoCAD for in-house manufacturing and external fabrication. · Maintain engineering-related portions of the company-wide PLM System (PTC Windchill), including part numbers, EBOMs, routings, and assisting Sales with customer product selection. · Streamline product designs based on design calculations, manufacturability, manufacturing time, material/component selection, workflow, and customer needs. · Review and revise drawings to ensure accuracy and completeness with regard to company standards, functionality, regulations, and product requirements. · Provide technical support and troubleshooting assistance to customers regarding pump systems and their applications. · Collaborate with Sales, Engineering, and Customer Service teams to resolve product-related issues and ensure customer satisfaction. · Other engineering-related duties as assigned. Qualifications · 5+ years of experience in PTC Creo Parametric or comparable 3D CAD software. · 3+ years of experience in PTC Windchill or comparable PLM software. · Formal education or certification in PTC Creo Parametric and Windchill is desirable. · Strong knowledge of parametric modeling and drawing view layout principles. · Proficiency in engineering simulation software (FEA/CFD) is preferred. · 5+ years of experience in application of pumps or other rotodynamic equipment. · Strong interpersonal communication skills. · Great attention to detail. · Motivated self-starter capable of working independently and in team environments. · Excellent problem-solving and critical thinking skills. · Bachelor's Degree required. Salary USD125, 000 - USD175,000, DOQ

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

Zeno Power is the leading developer of nuclear batteries - compact power systems that provide reliable, clean energy in frontier environments. By harnessing the heat from radioisotopes, Zeno's batteries power critical missions on Earth, in space, and at sea. To bring this technology to market by 2027, Zeno is seeking out purpose-driven and innovative professionals who are comfortable working in a startup environment. Team members will have a direct impact in enabling commercial and national security missions from the depths of our oceans, to the surface of the moon, and in austere environments here on Earth. Zeno is proud to be an Equal Opportunity Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state, or local law. Mechanical Design Engineer (contract) Zeno is seeking a highly motivated Mechanical Design Engineer to support the mission-oriented efforts of developing and bringing to market Radioisotope Power Systems (RPS) technologies. This role reports to the Mechanical Design Manager. In this role you will: Create models, drawings, and configurations of hardware with a focus on mechanical systems including tooling, mechanisms, and routed systems. Generate component and assembly product definition by preparing design layouts and drawings, modifying existing designs and resolving design discrepancies. Implement engineering and manufacturing best practices to achieve a balanced approach to cost, schedule, and performance requirements. Collaborate closely with structural, thermal, and nuclear teams to implement and optimize design based on system requirements. Comply with drafting standards and implement drawing notes based on program needs, best practices, and industry standards. Identify and execute design improvements to optimize performance, manufacturability, and cost. Perform model and drawing check activities during release reviews. Key Qualifications and Skills Minimum of Associate's Degree in Drafting/Engineering Technology with 7+ years of relevant experience, or Bachelor's in Mechanical Engineering with 5+ years of relevant experience Proficient in the use of CAD software, SolidWorks and SolidWorks PDM is required. Experience in the design of maritime, nuclear, spacecraft, or launch vehicle systems. Experience with codes and standards for maritime pressure vessel design a plus. Experience in standard fits, tolerance stacks, and GD&T analysis (ASME Y14.100, Y14.5/Y14.5M, Y14.41). Proficient in drawing generation, checking, and release processes. Practical experience in Design for Manufacturing and Assembly. Strong problem-solving skills and attention to detail Excellent communication skills, both verbal and written. Strong organizational skills and ability to manage multiple tasks simultaneously. Job Functions Position requires in-office presence in Seattle (South Lake Union) 1 day per week Travel: None Motor Abilities: Sitting and/or standing for extended periods, bending/stooping, grasping/gripping, fine motor control (hands) Physical exertion and/or requirements: Minimal, with ability to safely lift up to 15 pounds Repetitive work: Prolonged Special Senses: Visual and audio focused work Work Conditions: Stairs, typing/keyboard, standard and/or sitting working environment of >8 hrs./day Compensation and Benefits The anticipated pay band for this position is $65-80/hr. The final job level and compensation will be determined by various factors such as a candidate's relevant work experience, years of relevant experience, skills, qualifications, certifications, and other business considerations. Physical Demands and Work Environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. While performing the duties of this position, the employee is regularly required to talk or hear. Specific vision abilities required by this position include close vision, distance vision, peripheral vision, and the ability to adjust focus. The noise level in the work environment is usually moderate. Note This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an “at will” relationship. Export Control Applicants for employment at Zeno Power must be a U.S. person. The term “U.S. Person” means (i) a U.S citizen or U.S. national; or (ii) any natural person who is a U.S. Lawful Permanent Resident (i.e., holds a Green Card), as defined by 8 U.S.C. 1101(a)(20) or as a “protected individual” defined by 8 U.S.C. 1324b(a)(3) (i.e., admitted as a refugee or is granted asylum).

**P2S** stands as a provider of professional engineering services to a broad range of markets, including higher education, healthcare, ports/harbors, industrial, entertainment, commercial, laboratories, municipal, and federal sectors. Our specialties include electrical, mechanical, plumbing, fire protection, and technology integration. Our offered services range from engineering and commissioning to construction management. With over 300 dedicated employees, P2S is an internationally recognized leader in many of the key markets we serve. We provide a blend of innovation and technical excellence in delivering green solutions that enhance and sustain the built, natural, and social environments. Currently, we have offices in Long Beach, Seattle, Irvine, San Diego, Los Angeles, and San Jose. Are you a Mechanical Design Engineer with 5-10 years of experience looking to grow your career? P2S is an award-winning engineering firm that has been named a "Best Place to Work" for the past 15 years. Employment Type: Full-time Hybrid Schedule: 3 days In-office / 2 Remote Salary Range: $120,000- $150,000 (dependent on experience) Level: Mid Office: Seattle, WA, Long Beach, CA, Sacramento, CA, Irvine, CA **Position Summary** We are seeking an experienced Mechanical Design Engineer specializing in HVAC system design to join our engineering team. The ideal candidate will have 5-10 years of experience in the design and coordination of HVAC systems for commercial, institutional, and industrial buildings. This position involves leading mechanical design efforts, managing projects from concept through construction, and collaborating closely with architects, owners, and other engineering disciplines to deliver high-quality, coordinated designs. **Key Responsibilities** + Lead and perform HVAC system design, including load calculations, equipment selection, and ductwork/hydronic system layout. + Prepare and review drawings, specifications, and technical documentation in accordance with project and code requirements. + Coordinate designs with architectural, structural, electrical, and plumbing disciplines to ensure fully integrated building systems. + Conduct field surveys, evaluate existing mechanical systems, and develop retrofit or upgrade solutions. + Support project development from concept design through construction administration, including responding to RFIs and reviewing submittals. + Collaborate with clients and project managers to define scope, schedule, and budgets for mechanical portions of projects. + Mentor junior engineers and designers, providing technical guidance and quality assurance reviews. + Stay current with applicable building codes and industry standards. + Participate in internal design reviews, QA/QC processes, and project closeout documentation. **Qualifications** + Bachelor's Degree in Mechanical Engineering. + Professional Engineer (PE) license or ability to obtain within 12 months (preferred). + 5-10 years of progressively responsible experience in HVAC design within a consulting engineering or design-build environment. + Proficiency in Revit, AutoCAD, and HVAC load calculation software (e.g., Carrier HAP, Trane TRACE). + Strong understanding of HVAC system types (VAV, DOAS, hydronic systems, chilled/hot water plants, VRF, etc.). + Familiarity with energy modeling, sustainability, and LEED/ASHRAE 90.1 compliance (preferred). + Excellent written and verbal communication skills; ability to lead technical discussions with clients and project teams. + Demonstrated ability to manage multiple projects and meet deadlines in a collaborative environment. **Additional Preferred Skills** + Experience with healthcare, laboratory, higher education, or mission-critical facilities. + Knowledge of specification writing and Division 23 standards. + Basic understanding of building automation systems and controls integration. + Field experience with commissioning or construction administration. \#LI-CC1 #LI-Hybrid **What sets P2S apart?** For 15 years in a row, P2S has been regarded as a "Best Place to Work" by our employees. Why? Because we value satisfied employees just as much as satisfied clients. With competitive benefits, flexible work schedules, paid training/professional memberships, and more. - we aim to attract the best talent and keep them here Learn more about what it means to work at P2S: *************************** _P2S is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees._ **About Legence** Legence (****************************** (Nasdaq: LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systems-enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Legence also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the world's most technically demanding sectors, Legence counts over 60% of the Nasdaq-100 Index among its clients. **Benefits** **401(k) Plan with Company Match:** Currently match contributions dollar-for-dollar up to 4% of eligible pay; immediate vesting. **Health & Welfare Benefits:** Employer provided medical, dental, vision, prescription drug, Employee Assistance Program and accident & illness coverage. **Life and Disability Insurance:** Employer provided basic life insurance and AD&D valued at 50K coverage amount with the option for voluntary buy-up for additional coverage. **Time Off:** Flexible non-accrual vacation; company holidays per policy. _(For California employees, this is separate from California paid sick leave, if applicable.)_ **Expenses:** Business travel and related expenses reimbursed per company policy. **Discount Program:** Company-sponsored discount program with savings on multiple lifestyle categories. **Reasonable Accommodations** If you need assistance or accommodations during the application or interview process, please contact us at ******************* or your dedicated recruiter with the job title and requisition number. **Third-Party Recruiting Disclaimer** Legence and its affiliates do not accept unsolicited resumes from agencies; any such submissions without a prior signed agreement authorized by Legence Holdings LLC's CHRO or Director of Talent Acquisition will not incur fees and are considered property of Legence. **Pay Disclosure & Considerations** Where pay ranges are indicated, please note that a successful candidate's exact pay will be determined based relevant job-related factors, including any of the following: candidate's experience, skills, and qualifications, as well as geographic and market considerations. We are committed to ensuring fair and competitive compensation for all employees and comply with all applicable salary transparency laws. **Equal Employment Opportunity Employer** Legence and its affiliate companies are proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), marital or familial status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, other non-merit-based factors, and any other characteristic protected under applicable local, state or federal laws and regulations. EEO is the Law **Job Details** **Pay Type** **Salary** **Hiring Min Rate** **120,000 USD** **Hiring Max Rate** **150,000 USD**

Job Description Responsibilities • Perform mechanical design and trade studies for space hardware systems • Develop detailed CAD models and engineering drawings with proper GD&T • Support design reviews, proposal efforts, and technical documentation • Participating in development, qualification, and acceptance test campaigns • Collaborate with manufacturing, test, and systems engineering teams • Support hands-on integration and troubleshooting of hardware Required • Bachelor's degree in Mechanical, Structural, or Aeronautical Engineering (or equivalent) • 7+ years of experience designing structural or avionics systems for space applications • 5+ years of experience with Siemens NX, Teamcenter, and ASME Y14.5 GD&T • Experience supporting qualification and acceptance testing for space hardware Preferred • Master's or PhD (or equivalent experience) • Experience with FEA tools (FEMAP, NASTRAN, or equivalent) • Thermal vacuum and vibration test experience • Strong design-for-manufacturing knowledge and ownership mindset • Experience with Jira, TRAC, or similar tools Powered by JazzHR VeavXryr2K