Mechanical design engineer jobs in Seattle, WA - 2,322 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

Santa Clara, California, United States Machine Learning and AI Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you want to make Apple products more intelligent for our users? The Information Intelligence Infrastructure team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning. Our infrastructure is the back-bone of Apple Intelligence. It powers the largest Apple foundation models on servers and a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. Description Build the dataset intelligence layer behind Apple-scale foundation models: data mining, information extraction, dataset curation, and evaluation signal that helps models improve faster with less compute. You'll operate at petabyte/trillion-record scale and partner directly with foundation model researchers to turn model failures into targeted data interventions. form the backbone of Apple's search and foundation model platforms. As part of this team, you will own services, pipeline end-to-end-from initial design and architecture, through implementation, deployment, and long-term operation. You'll collaborate closely with Foundation Model research teams to optimize for cutting-edge model quality improvements. Responsibilities Design scalable data mining + information extraction systems over trillions of records to produce training corpora and high-signal subsets. Build data quality loops - automatic filtering, algorithmic selection, and apply strategies tied to model evaluation outcomes. Partner with Foundation model research to curate datasets for new architectures; ship production solutions powering real products. Design, build, and operate large-scale distributed services that power Apple's search and foundation model platforms. Build and evolve petabyte-scale data pipelines and feature pipelines and serve models. Define and uphold SLAs for critical services & pipelines , driving reliability, performance, capacity planning for billions of daily requests. Collaborate with cross-functional partners (research, engineering, program management, privacy, security) to design solutions that meet user, business, and regulatory requirements. Improve the overall engineering quality bar through technical reviews, mentoring, documentation, and best practices in testing and observability. Minimum Qualifications PhD or MS in ML/CS or related with 10+ years of experience. Proficiency in at least one modern programming language Python, Go, or Scala, with a focus on writing robust, maintainable code. Proficiency in at least one popular ML framework such as PyTorch, TensorFlow, JAX and an understanding of how ML/AI systems are deployed in production. Familiarity with cloud - Kubernetes, GCP, AWS, Object stores. Excellent collaboration and communication skills; able to work independently and cross-functionally with research, product, and operations teams. Preferred Qualifications Experience with training-data curation, synthetic data strategies, or evaluation dataset filtering / subset selection. MLOps from research prototype → production. Familiarity with large-model serving/optimization stacks (TensorRT-LLM, vLLM, Triton) Experience with data-intensive systems (e.g., large-scale data pipelines, feature generation, Dataflow, Spark, Airflow, Dataflow). At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible to discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

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

Looking for experience is Electrical, or Mechanical (discipline) as designer using Revit. Daily responsibilities will include designing the electrical systems of Data Centers, and utilizing Revit to create and maintain BIM models. Your duties will include: Preparing and developing detailed Revit models of Electrical building systems. Developing & publishing construction documentation for Electrical building systems designs in a fast-paced environment to meet scheduled deliverables. Basic Qualifications 2+ years of design/engineering experience of Electrical Building systems, or Mechanical Plumbing on mission critical facilities. 2+ years' experience using Revit for producing complex BIM models and construction drawings for Electrical or Mechanical building systems. 2 years in mission critical industry (Data Center, Hospital, other). Use of Autodesk Revit, and Navis for BIM Modeling and drawing creation. Awareness of building systems (Electrical, or Mechanical). Practical knowledge and understanding of codes and safety regulations related to MEP industry. Use of the following software tools: AutoCAD, Navisworks, Bluebeam, Dynamo, RF Tools, CTC Tools and Procore is preferred. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - As Applicable)

Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we've built in functional expertise. The Meta/SEM Bidding Programs team at Expedia Group is looking for a Machine Learning Engineer III that mentors junior engineers, applies new data engineering principles to improve existing systems, and leads complex, well-defined projects. In this role, you will: Proactively team up with peers across the organization to build an understanding of cross dependencies and shared problem solving. Develop and test complex or non-routine software applications and related programs and procedures to ensure they meet design requirements. Effectively apply knowledge of software design principles, data structures and/or design patterns and computer science fundamentals to write code that is clean, maintainable, optimized, and modular with good naming conventions. Contribute to design discussion for big data applications. Apply data manipulation techniques commonly used by Data Scientists. Coordinate bringing together different stakeholders with varied perspectives to develop solutions to issues and contributes own suggestions. Think holistically to identify opportunities around policies/ processes to increase efficiency across organizational boundaries. Assist with a whole systems approach to analyzing issues by ensuring all components (structure, people, process and technology) are identified and accounted for. Identify areas of inefficiency in code or systems operation and offer suggestions for improvements. Recommend advancements, innovations and changes in technologies (specifically relating to machine learning engineering, ML platforms, DS models, enterprise information management, business intelligence and data science). Experience and qualifications: 3+ years of experience machine learning engineering pipeline end-to-end in production environments (including feature engineering, model training, model scoring, model validation, etc.) and streaming application in a hybrid/cloud infrastructure Bachelors or Masters degree in a technical area or relevant work experience Command with Spark and how map-reduce works, how to evaluate, optimize, and debug Spark applications Command with machine learning libraries such as PyTorch and Tensorflow, knowing common integration patterns for serving inference with them Familiarity with data access such as defining IAM policies for S3 buckets Can instrument streaming or parallel inference tasks to accommodate large traffic or volume of data Understanding and designing moderately complex systems The total cash range for this position in Seattle is $146,000.00 to $204,500.00. Employees in this role have the potential to increase their pay up to $233,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award‑winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I‑9 to confirm work authorization. #J-18808-Ljbffr

Holmberg Mechanical is currently seeking a confident, passionate, highly motivated, and organized Project Engineer/Coordinator. The ideal candidate will have demonstrated organizational skills, the ability to multi-task, show a friendly & positive attitude, with a professional demeanor while maintaining a high level of productivity and integrity. The candidate's primary responsibility is to provide onsite project management. Working under the direction of a Project Manager, the successful candidate will work to implement key construction initiatives, ensure organization and consistency throughout the department and take ownership of all related issues and resolutions. Why Holmberg? Our culture! If you are looking for a fun place to thrive, Holmberg Mechanical is for you. We've made Puget Sound Business Journal's Best Places to Work List seven times, our CEO was named “Most Admired CEO” by the PSBJ in 2020, and we made Inc. Magazine's “5000 Fastest Growing Companies” List in 2019 and 2020. We have been in business since 1949 and are one of Washington state's oldest union plumbing companies. We are dedicated to helping our community with numerous events to support local non-profit organizations. We choose to pursue projects in our area that matter to us. If you would like to work with experts in the industry, on projects that matter to local people, in an inspiring environment, with room for growth and promotion, let's talk. Job Function/Responsibilities -Work as a team member with the project team and assist the Project Manager with management support. -Assist in the development and maintenance of construction project schedules, CPM schedule development, and standardization -Document control & organization, generate submittals & RFIs, prepare subcontracts, and manage subcontractors -Procurement of material, support of cost engineering, support of equipment buyouts, estimating support, support marketing & sales, and assist with project billings -Developing mutually successful relationships with clients Qualifications -Two years minimum as a Project Engineer/Assistant Project Manager. -Available to work flexible hours, an average of 40 hours per week standard, or as needed. -SEATTLE/BELLEVUE METRO CANDIDATES ONLY Skills and Requirements - Strong technical problem-solving ability. - Knowledge of Microsoft and Office Software. - Solid project management skills and methods. - Solid understanding of mechanical and plumbing systems. - BlueBeam Revu & Smartsheet a plus. Compensation is between $70,000 to $85,000 annually plus a competitive benefits package. Holmberg Mechanical is an Equal Opportunity Employer, offering qualified applicants' consideration for employment without regard to race, color, religion, sex, physical or mental disability, age, citizenship, pregnancy, genetic information, veteran status, gender identity, gender expression, sexual orientation, national origin, and any other protected status. Learn more about us at *******************

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

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.? Get future opportunities sent straight to your email. #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 technology firm is seeking a Senior Design Engineer to enhance user experience in their innovative team. This role involves designing exceptional interfaces, building components collaboratively, and mentoring junior members. Candidates should have over 6 years of UI design experience, strong web development skills, and a keen attention to detail. The position offers a hybrid work model based in Menlo Park, CA, fostering creativity and collaboration. Join the team to shape the future of data interaction. #J-18808-Ljbffr

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

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

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 prominent digital innovation team is seeking a Junior Developer in Seattle to immerse yourself in a diverse technology ecosystem while developing cloud services. This temporary role may lead to a full-time position based on your performance. Candidates should have a bachelor's degree and 6 months of relevant experience. Key qualifications include proficiency in several programming languages, cloud services interest, and a collaborative spirit. Excellent benefits will be available upon full-time conversion. #J-18808-Ljbffr

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.

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

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