Research and development engineer jobs in Parkland, WA - 2,717 jobs

AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium delivers the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and JAX. AWS Neuron is used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Neuron Compiler team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and JAX, and converts them into code suitable for execution. The team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance. As a Machine Learning Compiler Engineer II in the AWS Neuron Compiler team, you will be supporting the ground‑up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business‑critical features, publishing cutting‑edge research, and contributing to a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands‑on partner to AWS ML services teams and you will be involved in pre‑silicon design, bringing new products/features to market, and many other exciting projects. A background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required. In order to be considered for this role, candidates must be currently located or willing to relocate to Cupertino (perferred), Seattle, Austin. Basic Qualifications 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience 2+ years of experience in developing compiler features and optimizations Proficiency with 1 or more of the following programming languages: C++ (preferred), C, Python Preferred Qualifications Master or PhD degree in computer science or equivalent Proficiency with resource management, scheduling, code generation, and compute graph optimization Experience optimizing Tensorflow, PyTorch or JAX deep learning models Experience with multiple toolchains and Instruction Set Architectures Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr

Application close date:Applications will be accepted on an ongoing basis until the requisition is closed.At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of the Lunar Permanence business unit, which develops Blue Origin's Blue Moon landers and related products. To further Blue Origin's mission of millions of people living and working in space for the benefit of Earth, we are building sustainable infrastructure for our transport of crew and cargo from Earth to the lunar surface.This individual will use their technical expertise, leadership skills, and commitment to quality to join our team and positively impact safe human spaceflight. Passion for our mission and vision is required. You will work directly with NASA and our National Team Partners as part of the Human Landing System (HLS) Sustaining Lunar Development (SLD) program. You will play a key role in developing the Lunar Transportation system that will return humans to the Moon and extend human presence permanently beyond the bounds of Earth.This opportunity will report to the Mechanisms Subsystem inside of the Lunar Transportation business unit. As part of a growing, hardworking, and curious team of design engineers, you'll be deployed to programs that shape the future of Blue Origin. Your skill in the design and analysis of spacecraft mechanisms as well as your ability to deliver safe, reliable, ready to install hardware that meets requirements, while doing so within theallocatedcost and schedule requirements, will lead to a rewarding career with Blue Origin. **Responsibilities:*** Design mechanisms for space flight which may include landing gear, engine gimbaling mechanisms, docking systems, solar and radiator deployment systems, hatches, and davit offloaders.* Participate in the entire design cycle of flight hardware, including conceptual and detailed design, trade studies, structural analysis, development testing, and qualification. Generate component drawings, assembly drawings, and interface control documents with application of GD&T per ASME Y14.5.* Create documentation for assembly and testing of development and flight hardware. Participate in subsystem level testing including planning, execution, data reduction and analysis. Develop component specifications and manage suppliers.* Leverage experience and engineering judgement to quickly design and produce non-flight, proof of concept hardware for fast-moving research and development projects Participate in a small, agile team to create and adapt to frequently shifting priorities**Qualifications:** * Bachelor of Science Degree in Engineering* Level 5 Requirement: 12+ years of experience* Recent experience designing aerospace or equivalent type mechanical system elements within aircraft, spacecraft, or launch vehicles* Strong mechanical design, integration, and mechanism analysis skills using 3D modeling and simulation tools (CREO preferred).* Experience with GD&T analysis (ASME Y14.5) and performing tolerance stacks* Strong preference for Systems Engineering experience* Knowledge of manufacturing, assembly, integration, and qualification testing* Proficient in technical writing, communicating sophisticated ideas clearly and concisely* Experience specifying and justifying margins and test sequences for aerospace systems### Compensation Range for:CO applicants is $155,939.00-$218,313.90;WA applicants is $164,682.00-$230,554.80**Other site ranges may differ****Culture Statement****Export Control Regulations**Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.**Background Check*** Required for all positions: Blue's Standard Background Check* Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation* Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.* Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical**Benefits*** Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.* Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.* Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.**Equal Employment Opportunity**Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see .**Affirmative Action and Disability Accommodation**Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at ****************************. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.**California Applicant Privacy Notice**If you are a California resident, please reference the CA Applicant Privacy Notice .Blue Origin was founded with a vision to enable a future where millions of people are living and working in space to benefit Earth. In order to preserve Earth, Blue Origin believes in the need to enable humanity to expand, explore, find new energy and material resources, and move industries that stress Earth into #J-18808-Ljbffr

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

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Distribution and Supply team at Expedia Group is revolutionizing how people search, book, and experience travel. We power the systems behind Pricing, Inventory, Content, and Marketplace Trust & Safety, ensuring travelers find the best deals and most reliable experiences across hotels, vacation rentals, flights, cars, packages, and cruises. Our platforms process trillions of events globally, connecting hundreds of millions of travelers across Expedia Group's brands. As a Machine Learning Engineer III, you'll design and scale the intelligent systems that power Expedia's global travel marketplace. You'll work across Content, Pricing & Availability, Trust and Safety domains operating at massive scale and complexity. Our Content systems manage hundreds of millions of digital assets-images, text, videos, and attributes that bring destinations and experiences to life. You'll use machine learning to automate content enrichment, enhance quality, and deliver personalized travel recommendations. In Pricing & Availability, you'll build models that optimize real‑time pricing and inventory for hotels, rentals, and vehicles-processing millions of products and prices for users per second. Your work ensures travelers see the most accurate, competitive, and relevant prices worldwide. Within Trust and Safety, you'll develop models that uphold trust and fairness across Expedia's two‑sided ecosystem, detecting anomalies, mitigating fraud, and supporting partners in delivering high‑quality traveler experiences. If you're passionate about applying machine learning to complex, high‑scale systems that shape how the world travels, join us and help define the future of travel technology at Expedia Group. In this role, you will: Collaborate in cross‑functional teams of Software Engineers and Machine Learning Engineers/Scientists to design and develop large‑scale batch and real‑time ML solutions in the Distribution and Supply domain Propose, lead, and implement innovative ML applications across Pricing, Inventory, Content, and Trust & Safety while aligning technology strategy with business objectives, ensuring measurable impact Lead end‑to‑end lifecycle for mid‑to‑large‑scale ML projects, from design to deployment Establish and promote best practices, industry standards, and high‑quality methodologies Mentor junior engineers, fostering best practices for integrating ML into existing systems Work on cross‑organizational initiatives, solving complex technical challenges, and innovate to enhance performance and scalability Minimum Qualifications: 5+ years of experience for a Bachelor's degree, or 3+ years for a Master's degree in a software engineering role; or equivalent related professional experience Proficiency in Python and Scala (or Java) Expertise in Big Data technologies such as Hadoop, Hive, or Spark Proven ability to productionize Machine Learning models, including feature engineering, scalability, validation, and deployment Preferred Qualifications: Strong experience with cloud platforms such as AWS, EMR, Kubernetes, and Docker Experience building real‑time applications, preferably with Spark Proficiency with ML platforms like Databricks or SageMaker, and libraries such as PyTorch or TensorFlow Hands‑on experience with workflow orchestration tools (e.g., Airflow, Flyte) Experience in the e‑commerce or travel industry The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award‑winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group™ Media Solutions, Expedia Local Expert , CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030‑50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain ********************. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I‑9 to confirm work authorization. #J-18808-Ljbffr

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

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

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

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

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

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

#NowHiring #OpticalEngineer Job Title: Mechanical Engineer V / Optical Engineer Contract: 12+ Months is offering a hourly rate range from $80 - $85 an hour. Belcan is a leading provider of professional IT, Engineering, Workforce Solutions and staffing in the United States, Canada, UK, Europe, and India. A Optical Engineer V Job in Redmond, WA is currently available through Belcan. In this role you will be comfortable with designing camera/optical systems of all types, understanding critical optical technologies such as lens specification, aberrations, calibration, color balance, aperture, exposure, gain, motion-induced blur, lighting, etc. If you are interested in this role, Apply Today! Job Description: Client is seeking a seasoned sensor design engineer to conceive, develop, prototype and deploy data-collection systems at scale. These systems will collect information about Client's products which will be used by machine learning/machine vision systems to guide robotic manipulation of objects, among other applications. These data collection systems will be installed into various facilities across the Client network to capture the types and quantity of data needed to automate processes. Our team collaborates machine learning scientists, fulfillment associates, labeling teams, field engineering and maintenance personnel and with a variety of customers across Client worldwide. The ideal individual will be comfortable with designing camera/optical systems of all types, understanding critical optical technologies such as lens specification, aberrations, calibration, color balance, aperture, exposure, gain, motion-induced blur, lighting, etc. Experience exploring other active and passive sensing modalities such as structured light, stereo, lidar, radar, x-ray, infrared, RFID is a plus. Experience with industrial measurement such as bar-code extraction, text extraction, dimensioning, and weight, in a manufacturing environment that includes automated conveyance and related safety controls. You should be comfortable engaging with all types of customers ranging from executives to developers, and warehouse operations staff. You should be comfortable working in a fast-paced environment where delivery time for new products and features is typically measured in months. You are a self-starter with a commitment to team work, who enjoys working with complex hardware and software systems, is customer centric, and thrives on the challenge of helping scientists as well as non-technical customers to achieve their goals. ROLE ALIGNS MORE WITH HARDWARE DEVELOPMENT ENGINEER OR OPTICAL ENGINEER Qualifications: * BS degree in electrical engineering, optics or vision systems * 5 years' experience in Hardware development such as developing digital optical / machine vision systems for industrial applications * Strong interest and ability to learn customer requirements in the data collection space. * Excellent oral and written communication skills * Ability to develop data collection software (sensor interface) for experimental/prototyping purpose. * Ability to design, acquire and prototype sensing systems Preferred qualifications * MS or PhD in electrical engineering, optics or vision systems * Experience with multi-sensor systems, experience with non-optical sensing systems * Familiarity with computer vision/machine learning Location: Redmond, WA Zip Code: 98004 Keyword"s: #Bellevuejobs; #MechanicalEngineerjobs; Start Date: Right Away #ZR If you are interested in this role, please apply via the apply now link provided. Our overriding goal is to provide quality staffing solutions that help people, organizations, and communities succeed. Belcan is a leading provider of qualified personnel to many of the world's most respected enterprises. We offer excellent opportunities for contract, temporary, temp-to-hire, and direct assignments. We are the employer of choice for thousands worldwide. For more information, please visit our website at Belcan.com

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

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next‑generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE AMD's Data Center Platform Engineering Group (DPEG) is designing, developing, and delivering innovative technology infrastructure enabling the digital world. We create cloud‑enabling server/rack solutions that help the world's leading companies turn their ideas into reality. Our customers are future‑focused and so are we, always a step ahead of the next challenge. As experts in engineering, manufacturing, and supply chain, we're the bridge between problem and solution for the world's leading OEM & ODM partners and cloud services providers. Our customers depend on us to solve their most complex server/rack design needs. Come and join our Data Center Platform Engineering Group where we are building amazing, powered products with amazing people. AMD is searching for a dynamic and experienced Principal Member of Technical Staff to own system design support, rack‑level bring‑up, and critical customer engagement for our cutting‑edge AMD Instinct™ product line. In this high‑visibility role, you will act as the technical bridge between AMD's internal system architects, platform development teams, and our OEM partners. You will not only influence the design and architecture of AI solutions but also lead hands‑on debug and validation efforts at customer locations. As a technical leader, you will drive engineering, root cause analysis, and influence future roadmap stories based on field execution. KEY RESPONSIBILITIES System Architecture & Design Support Solution Optimization: Partner deeply with customers to architect and optimize Rack‑Scale AI solution deployments using AMD Instinct GPUs. Design Reviews: Provide support of design reviews for customer platform/rack designs; proactively flag areas for modification to improve quality, performance and competitive advantage. Bring‑Up, Debug & Validation Documentation & Best Practices: Deliver comprehensive technical documentation, best practices, and reference architectures to streamline the adoption and deployment of AMD AI platforms. Hands‑on Engineering: Drive hands‑on rack, platform, and component‑level debug and validation. This includes complex stress testing, issue reproductions, and deep‑dive root cause analysis. Issue Resolution: Lead customer issue resolution efforts, gathering diagnostics, managing critical escalations, and driving long‑term process improvements to ensure customer success. System Firmware Debug & Deployment: Lead debug efforts for system firmware (BIOS, BMC) during initial bring‑up and large‑scale deployment phases. Ensure seamless integration between hardware, firmware, and software stacks, and resolve interaction issues in customer environments. End‑Customer Debug & Sustaining: Own the technical support interface for end customers, provide high‑level engineering for deployed fleets. Leadership & Strategy Cross‑Functional Alignment: Represent debug progress, technical insights, and status with clarity and impact at the leadership level, ensuring alignment and accountability across cross‑functional teams. Roadmap Influence: Provide regular, detailed technical feedback from the field to directly influence AMD's software and hardware roadmaps. Future Architecture: Drive future product architecture decisions by leveraging unique insights gained from deep customer execution engagement. Mentorship: Build a culture of ownership, accountability, and technical excellence within the team, while actively mentoring senior engineers and emerging technical leaders. PREFERRED EXPERIENCE Advanced experience in system architecture, hardware/firmware debug, and customer‑facing engineering roles (HPC or AI/ML focus preferred). Deep understanding of Server/Rack system architecture (x86, GPU, PCIe, Interconnects). Strong proficiency in System Firmware (BIOS/UEFI, BMC/OpenBMC) debug, update flows, and deployment strategies. Experience with system bring‑up and debugging tools (oscilloscopes, logic analyzers, ITP, JTAG). Knowledge of power delivery, thermal management, and mechanical form factors in datacenter environments. Leadership: Proven track record of leading technical teams through complex problem‑solving scenarios and interacting with executive leadership. Travel: Ability to travel to customer, factory and company locations. ACADEMIC CREDENTIALS Bachelors, Masters, or PhD in Electrical Engineering, Computer Engineering, or Computer Science. LOCATIONS Seattle, WA.; Austin, TX.; Secaucus, NJ.; Santa Clara, CA. This role does not support visa sponsorship. #LI-CB1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee‑based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's “Responsible AI Policy” is available here. This posting is for an existing vacancy. #J-18808-Ljbffr

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

is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .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* 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

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

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 leading technology company in Seattle seeks a Staff Full Stack Software Engineer to drive technical solutions in building scalable, cloud-based systems. You will mentor engineers, set high standards for technical work, and collaborate across teams to tackle complex challenges. Ideal candidates have over 8 years of experience in software engineering and a strong background in backend technologies. The role offers competitive compensation, including a base salary between USD 168,750 and USD 270,000, alongside various benefits. #J-18808-Ljbffr

A technology company in Seattle is seeking a highly experienced backend engineer to develop and optimize software systems using machine learning. Successful candidates will have over 6 years of experience and be comfortable in both backend services and programming. This role involves designing data-driven products, ensuring operational excellence, and collaborating across teams. The company offers a competitive salary between $159,000 and $278,250 per year along with benefits and equity. #J-18808-Ljbffr