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Description Fantastic benefits and compensation package offered by Providence Swedish that begin on your first day of employment. Join us, and find out how many ways we offer you the chance to focus on what really matters - our patients. This position is responsible for performing adult M-Mode, Two-Dimensional, Pulsed and Continuous Wave Doppler, Color Flow Imaging, Stress (Treadmill and Pharmacologic) Echocardiography, and assisting cardiologists with TEE exams. One must be proficient at writing up preliminary reports for placement in the electronic medical chart immediately following every echo exam. The position requires the performance and understanding of anatomy on adult patients. This position may also involve working at and travel between Swedish Health Services hospitals and clinics. • Performs and understands all adult M-Mode, Two-Dimensional, Color Flow, and Pulsed and Continuous Wave Doppler Imaging procedures on inpatients and outpatients as scheduled., • Able to assist cardiologist during a TEE exam, including thorough knowledge of TEE anatomy., • Performs stress echocardiograms, including treadmill and pharmacological stress echocardiography., • Performs procedures in the cardiac cath lab, including TEE, ICE and transthoracic echocardiograms., • Able to utilize digital echocardiogram recording system, including acquisition of images, writing preliminary reports, and review and retrieval of studies., • Able to utilize hospital based electronic medical record system., • Demonstrates good oral skills to give a thorough preliminary report to physicians, nurses and other medical staff., • Answers the Echo Lab telephones and performs same day scheduling., • Attends reading sessions and assists the cardiologist with the echo interpretations., • Assists with the instruction of all ultrasound student interns., • Is available for after hours call. Carries a pager on a rotational schedule., • Performs inpatient exams at the bedside, which requires the movement of the echo equipment to the bedside area and of furniture in the patient’s room to accommodate the echo machine. Must be able to assist in patient lifting, positioning of the patient for the procedures and moving patients from stretchers and wheelchairs to the bed., • Recognizes and understands normal and abnormal cardiac anatomy. Is able to perform echocardiographic studies on all age groups indicated above., • Able to move echo equipment to mobile sites to perform echocardiograms and stress echoes., • Participates in the restocking and cleaning of all echo equipment and rooms. Required Qualifications: • Coursework/Training Satisfactory completion of a formal accredited Ultrasound training program, • Upon hire: National Certification from American Registry for Diagnostic Medical Sonography, • Upon hire: National Provider BLS - American Heart Association, • Bachelor's Degree Bachelor of Science Degree in Diagnostic Ultrasound Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security. We take care of you, so you can focus on delivering our mission of improving the health and wellbeing of each patient we serve. About Providence At Providence, our strength lies in Our Promise of “Know me, care for me, ease my way.” Working at our family of organizations means that regardless of your role, we’ll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable. The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits. Applicants in the Unincorporated County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Unincorporated Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act." About the Team Providence Swedish is the largest not-for-profit health care system in the greater Puget Sound area. It is comprised of eight hospital campuses (Ballard, Edmonds, Everett, Centralia, Cherry Hill (Seattle), First Hill (Seattle), Issaquah and Olympia); emergency rooms and specialty centers in Redmond (East King County) and the Mill Creek area in Everett; and Providence Swedish Medical Group, a network of 190+ primary care and specialty care locations throughout the Puget Sound. Whether through physician clinics, education, research and innovation or other outreach, we’re dedicated to improving the wellbeing of rural and urban communities by expanding access to quality health care for all. Providence is proud to be an Equal Opportunity Employer. We are committed to the principle that every workforce member has the right to work in surroundings that are free from all forms of unlawful discrimination and harassment on the basis of race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law. We believe diversity makes us stronger, so we are dedicated to shaping an inclusive workforce, learning from each other, and creating equal opportunities for advancement. For any concerns with this posting relating to the posting requirements in RCW 49.58.110(1), please click here where you can access an email link to submit your concern. Requsition ID: 389960 Company: Swedish Jobs Job Category: Cardio Services Job Function: Clinical Care Job Schedule: Part time Job Shift: Day Career Track: Clinical Professional Department: 3904 SIS ECHOCARDIOLOGY Address: WA Issaquah 751 NE Blakely Dr Work Location: Swedish Issaquah Workplace Type: On-site Pay Range: $53.99 - $82.86 The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. PandoLogic. Category:Healthcare, Keywords:Echocardiography Technologist, Location:Seattle, WA-98104

Project Kuiper is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world. Hundreds of millions of people on Earth lack reliable internet access. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. As a System Development Engineer within Kuiper’s enterprise technology team, you will design and implement automation solutions that enable Kuiper's core infrastructure scaling across global manufacturing, launch, and operations facilities. You'll work at the intersection of infrastructure engineering and software development, creating tools and platforms that enhance deployment efficiency, reliability, and monitoring capabilities. Export Control: This position requires selected candidates to be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed. Key job responsibilities • Design and develop automation solutions for Windows and Linux infrastructure deployment and management, • Create and maintain CI/CD pipelines for infrastructure-as-code implementations, • Build internal tools and platforms to streamline infrastructure operations, • Implement monitoring, alerting, and self-healing capabilities for critical systems, • Develop network infrastructure automation solutions, • Create and maintain technical documentation for all automation solutions, • Lead system reliability improvements through automated testing and validation, • Collaborate with System Engineers to implement robust, repeatable deployment systems, • Manage technical changes across multiple environments using version control and change management best practices A day in the life • Collaborate with TPMs, PM-Ts, and System Engineers to identify automation opportunities, • Write and review code for infrastructure automation tools, • Debug and optimize existing automation solutions, • Participate in technical design reviews for new infrastructure deployments, • Monitor and improve the performance of automation systems, • Engage with stakeholders to gather requirements for new automation features, • Contribute to post-mortem analyses and implement systematic improvements, • Mentor team members on automation best practices and coding standards About the team You will be joining a team that is responsible for delivering critical enterprise infrastructure that enables Kuiper's business across manufacturing, launch, and operations. We operate with a builder mindset, focusing on frugality with leverage through automation and AI. Our team works closely with manufacturing, launch operations, and security partners to ensure infrastructure readiness for Kuiper's ambitious scaling plans. • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience, • Software development experience, • Expert-level experience with Python programming, • Strong experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, CDK), • Experience with CI/CD pipelines and DevOps practices, • Proficiency in both Windows and Linux environments, • Experience with version control systems (e.g., Git) and software development methodologies, • Knowledge of networking fundamentals and automation, • Ability to travel up to 50% domestically and internationally, • Master's degree in Computer Science, Engineering, or related field, • Experience with manufacturing or industrial environments, • Knowledge of IoT infrastructure and edge computing, • AWS or Azure cloud platform experience, • Experience with containerization and orchestration (Docker, Kubernetes), • Background in multi-site operations and global infrastructure, • Experience with monitoring tools and observability platforms, • Knowledge of security best practices and compliance requirements, • Experience with machine learning or AI integration into infrastructure automation, • Strong technical writing and documentation skills, • Track record of mentoring and leading technical initiatives Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 $136,100/year in our lowest geographic market up to $235,200/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.

The Stores Economics and Science (SEAS) team is an interdisciplinary science and economics team whose mission is to solve high-risk, high-return problems for the Stores organization. We leverage frontier science, partner with teams across Amazon, and learn from the tools, experience, and perspectives of others. Our work spans rapid responses to pressing leadership questions, collaborative partnerships to help other teams achieve their goals, and multi-year scientific bets with large upside potential. We are looking for an economist who can use data-driven modeling and analyses to make the right trade-offs and solve impactful business problems. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas. In this role, you will contribute to SEAS' mission in two key ways. First, you will leverage your economic expertise to help design and validate scientific solutions for pressing business challenges. This will involve applying advanced analytical techniques, conducting rigorous data analysis, and proactively proposing high-impact initiatives that can be rapidly prototyped and scaled. Secondly, you will play a crucial role in translating complex economic models and insights into actionable recommendations that directly inform leadership decisions across the organization. This will require strong communication skills to effectively collaborate with cross-functional partners and drive meaningful change. Key job responsibilities • Collaborate with cross-functional partner teams to understand their challenges and translate them into rigorous economic frameworks that can be addressed through data analysis, modeling, and experimentation., • Own the end-to-end development of economic models and analyses, including conducting necessary data gathering, analysis, and validation to drive actionable insights, and, • Effectively communicate your economic findings, models, and proposed solutions to senior business stakeholders, incorporating their feedback to refine your work., • PhD in economics or equivalent, • Experience in industry, consulting, government or academic research, • Experience in developing and executing an analytic vision to solve business-relevant problems, • Experience in building statistical models using R, Python, STATA, or a related software, • Experience in building analytic or scientific data products or solutions, • Experience with machine learning models, • Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 $143,300/year in our lowest geographic market up to $247,600/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.

Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. Export Control Requirement: Due to applicable export control laws and regulations, candidates 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. Role Overview As a Machine Learning (ML) Engineer, you will lead the design, architecture, and development of end-to-end AI/ML solutions at scale, owning the infrastructure for building and deploying these systems. Working closely with scientists and engineers, you’ll help implement AWS-based AI/ML and GenAI solutions that meet both technical and business needs. As a pioneering ML Engineer within Kuiper ProdOps, you will drive hands-on development of high quality ML solutions. You are a technical leader that tackles new initiatives and engage effectively with both technical and business stakeholders. Your ability to synthesize and communicate complex topics to diverse audiences will be key to solving business problems and innovating for the future. You will strive for simplicity, combining deep technical expertise with creating problem-solving and strategic thinking, making high-impact on the business and driving innovation for the future. Key job responsibilities • Design, develop, and maintain advanced machine learning architectures and intelligent systems, • Create robust, scalable ML infrastructure and pipelines, • Develop end-to-end AI solutions addressing complex technical and business challenges, • Partner with scientists and engineers to architect machine learning models with a focus on performance, scalability, and efficiency, • Conduct advanced research and prototype innovative AI/ML approaches, • Collaborate cross-functionally to align technical solutions with strategic objectives, • Mentor junior engineers and contribute to technical knowledge sharing, • Lead technical design reviews and provide architectural guidance, • Operate in a dynamic environment to deliver high quality software against competitive schedules with rapidly-evolving priorities, • Convey complex ideas in simple terms to both technical and non-technical audiences, using clear written and verbal communication, • Bachelor's degree in computer science or equivalent, • 5+ years of non-internship professional software development experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • 5+ years of programming with at least one software programming language experience, • Experience as a mentor, tech lead or leading an engineering team, • Experience with machine learning frameworks (e.g. PyTorch, TensorFlow), • 3+ years of hands-on experience with machine learning and deep learning methods, including model training, fine-tuning, and inference, with a strong focus on predictive modeling and natural language processing, • Proven track record of building, deploying, and operationalizing ML models on cloud platforms (e.g. Amazon SageMaker), ensuring scalability and performance in real-world applications, • Hands-on experience with generative AI technology, • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Master or PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing, • Strong ability to interact, communicate, present, and influence within multiple levels of the organization Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.

Amazon’s Buyer Risk Prevention (BRP) Account Integrity team is looking for a passionate, results-oriented Principal Product Manager - Tech to drive delivery of projects with broad-reaching, critical strategic impact. BRP designs and builds high performance software systems using machine learning that identify and prevent account takeover, prevent bots, and prevent bad actors from operating in Amazon's stores. Our software and analytics teams constantly strive to outsmart those who attempt to defraud Amazon and our customers. This leads to a highly dynamic work environment working with brilliant people who understand how to invent and simplify in a disruptive environment as the force of good for Amazon. As a Sr. Product Manager - Tech working on Account Integrity, you will contribute to the team's roadmap and own goals to increase security and reduce account takeover impact to Amazon Customers and the Amazon business. In this role, you will interact with a broad cross-section of the Amazon organization and negotiate effective solutions between teams to protect every Amazon account. Regardless of whether a customer is using their Alexa devices, reading a Kindle book, managing their Seller business, or ordering groceries for home, the person successful in this role understands the broad set of Customers and protects them so that we continuously deliver a delightful range of experiences across all of Amazon's businesses. About the team Account Integrity's mission is to prevent bad actors from using the Amazon brand or Amazon accounts to harm customers, sellers, and the Amazon business. • 5+ years of product or program management, product marketing, business development or technology experience, • Bachelor's degree, • Experience with feature delivery and tradeoffs of a product, • Experience owning/driving roadmap strategy and definition, • Experience with end to end product delivery, • Experience contributing to engineering discussions around technology decisions and strategy related to a product, • Experience managing technical products or online services, • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning, • Experience in using analytical tools, such as Tableau, Qlikview, QuickSight, • Experience in building and driving adoption of new tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 $136,100/year in our lowest geographic market up to $235,200/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.

At Amazon, we strive every day to be Earth's most customer-centric company. Selling Partner Support Engagement (SPSE) delivers on this by leveraging data-driven insights and AI technologies to provide exceptional support to our global network of selling partners. We are transforming seller support through innovative solutions that address the volume, diversity, and complexity of our selling partners' needs. Do you want to join a team of analytical enthusiasts who are revolutionizing support experiences through advanced data analytics, experimental design, and AI-driven insights? Are you passionate about measuring and optimizing the impact of innovative support solutions while ensuring we maintain the human touch in our customer interactions? Are you excited by the prospect of your analytical insights driving large-scale improvements while contributing to the evolution of AI-enhanced support systems? The SPSE BI Team is looking for a Sr. Business Analyst to develop comprehensive measurement strategies, experimental frameworks, and analytical solutions that help us understand and optimize our most challenging support scenarios. We need to deeply understand our sellers' journey, measure the effectiveness of our AI-powered tools, design experiments that validate our innovations, and create analytical frameworks that guide strategic decisions. In this role, you will have ownership of end-to-end analytics initiatives that shape our support evolution and play an integral role in strategic decision-making. You will work closely with our leaders, seasoned product owners, applied scientists, engineers, UX designers, and operations teams to develop robust measurement systems, impact analyses, and data-driven insights that drive improvements in automation efficiency, support quality, and customer satisfaction. You will partner with our product and science teams to measure and optimize AI solutions, translate complex analytical findings into actionable business strategies, and ensure our innovations deliver meaningful impact to our selling partners. This role offers the unique opportunity to be at the intersection of advanced analytics and AI innovation, helping shape the future of seller support while ensuring we make data-driven decisions that benefit our global seller community. Key job responsibilities • Drive the development and implementation of measurement strategies for AI-powered support solutions, • Design and execute sophisticated experimental frameworks to validate product innovations, • Lead complex data analysis projects using SQL, Python, and advanced analytical tools, • Create scalable analytics solutions and dashboards for monitoring key business metrics, • Present insights and recommendations to senior leadership to influence strategic decisions, • Mentor junior analysts and foster a data-driven culture within the organization A day in the life You will work closely with product, program, and tech teams to stay connected to the ongoing feature launch roadmaps. The Selling Partners Support ecosystem is constantly evolving, and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. You will build a variety of analytics and visualization solutions to support our product features, autonomously perform deep dives to uncover new trends, and work closely with our product team to design experiments and identify opportunities. Your insights will drive data-informed decisions that enhance our support tools and improve the overall experience for our selling partners. • Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field, • 5+ years of tax, finance or a related analytical field experience, • 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience, • Experience defining requirements and using data and metrics to draw business insights, • Experience with Excel, • Experience making business recommendations and influencing stakeholders, • 5+ years of product or a related analytical field experience, • Background in e-commerce or customer support analytics, • Experience with Python or R for data analysis, • Knowledge of machine learning concepts and AI applications Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 $106,400/year in our lowest geographic market up to $185,000/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.

Description: At Weyerhaeuser, our IT team is at the forefront of the timber industry’s digital transformation to uphold our competitive advantage. We implement solutions that integrate and standardize data across the entire supply chain from seedlings to finished wood products and their distribution. Our strategies involve advanced analytics, machine learning/artificial intelligence, automation, and information management. This position is a Senior Enterprise Architect (EA) reporting to the Director of EA as part of a centralized EA team. It is at the top of our individual contributor range reflecting the importance to the success of the organization. The position is aligned to IT Artificial Intelligence (AI), Automation, and Data Management leader. The team focuses on automating and streamlining decision-making, expanding AI practices, advancing our Enterprise Data Management & Analytics strategy, and fostering innovation. If you want to be part of a world-class technology team changing the world we live in – come grow with us! The ideal candidate is passionate, thrives in a team environment, and is committed to lifelong learning. They must possess influential leadership skills and work collaboratively across all levels of the organization. They will play a significant role in advancing enterprise architecture practices and continuous investment in our business sectors. Their core values should align with our culture of safety, integrity, citizenship, sustainability, and inclusion, fostering a sense of belonging and embracing diverse ideas. We seek a proactive collaborator to partner with enterprise leaders, formulate automation strategies and road maps using AI and modern data practices to drive business outcomes. The candidate needs experience in strategic alignment, thought leadership, and collaboration. Balancing current solutions with emerging technologies to maintain our competitive advantage is crucial. We provide a platform for innovation, influence, transformation, inspiration, and growth within our organization. If you are ready to be a crucial strategic component of our team, we invite you to apply and discover more about this exciting opportunity! Responsibilities: Responsibilities * Develop and uphold architectural strategies and standards in alignment with our business objectives. * Facilitate discussions with stakeholders about the potential of technology and applicability to business strategies and objectives. * Partner with senior leadership to determine and prioritize AI, Automation, and Data Management initiatives. * Oversee data integration efforts to ensure smooth, secure data transfer across various systems and platforms. * Identify opportunities for automation and process optimization that allows our business to scale. * Engage with different business units and departments to comprehend their needs and provide architectural solutions accordingly. * Cultivate a collaborative atmosphere, bridging the divide between technical and non-technical stakeholders. * Collaborate on establishing data pipelines, ETL/ELT processes, and automate workflows. * Partner with the Information Governance team to ensure data policies, standards, and best practices are seamlessly integrated within the enterprise’s architectural strategy. * Design data models, data flows, and data integration strategies to ensure data quality, security, and accessibility. * Collaborate with cross functional teams to develop AI-driven solutions. * Ensure ethical and responsible use of AI technologies, adhering to relevant regulations and industry standards. * Evaluate the organization’s current technology portfolio against the business capabilities to influence improvement roadmaps. * Stay abreast of emerging technologies and assess their potential benefits for the company. * Provide strategic advisory council for project activities with delivery teams to guide integration efforts. * Commit to growing functional and technical skills and discovering new ways to deliver business or technical solutions. Willing to mentor others. * Leads and participates in project architecture reviews. Provides guidance and participates in project alternative analysis and architecture development. Qualifications: * Over 5 years of Enterprise Architecture experience. * Over 10 years of relevant IT technology experience. * Proven leadership in team management, both formally and informally. * Deep understanding of data governance, modeling, analysis, integration strategies, and automation frameworks. * Experience with integration patterns and platforms like Boomi and API management. * Experience with Robotic Process Automation (RPA), both attended and unattended bots. * Proficiency in multiple database technologies (relational, graph, object-oriented, document databases). * Strong leadership and communication skills, capable of explaining complex technical concepts to non-technical stakeholders. * Excellent problem-solving and decision-making abilities. * Ability to understand customer and partner business needs, lead requirement gathering and analysis, and design solutions that drive business outcomes. * Skilled in educating stakeholders on complex technology subjects. * Excellent interpersonal skills, able to influence, collaborate, and manage group dynamics to drive consensus. * Ability to foster a collaborative environment, encouraging input and respecting diverse opinions. Preferred, not required: * Experience with a variety of coding languages; R, Python, SQL, etc. * AI/ML Certifications * Practical experience with Snowflake. * Practical experience with UiPath RPA * Practical experience in Forestry Services or Wood Product manufacturing * Experience with a variety of database technologies; S/4 Hana, SQL Server, PostgreSQL, Oracle, or MySQL * Experience with Industrial Internet of Things and time-series manufacturing data Education * Bachelor’s degree in computer science, data science, engineering, or related experience is required. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company’s 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: wy.com/applicants Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.

Job DescriptionThis Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: Our client was founded with the intention of delivering on the promise of what Internet-of-Things (IoT) was supposed to be. They're building a global Bluetooth network dedicated to machine-to-machine connectivity. Our client is an early-stage, venture-backed startup supported by some of the best investors in the world. Why join us? ???? Comprehensive Benefits – Health, Dental, Vision, & HSA options ???? Unlimited PTO ???? Commuter Benefits (if working from HQ) ???? Learning & Development Allowance ???? Health & Wellness Stipend ???? Sabbatical Program – Recharge and explore new ideas ???? Cutting-Edge Space Tech – Work on a state-of-the-art satellite system Job Details We are looking for an Embedded Software Developer – System Validation to own and operate two hardware-in-the-loop (HITL) systems. This role sits at the intersection of embedded software, FPGA, and CI/CD automation. You will ensure that both our satellite codebase and end-device SDK are thoroughly validated before deployment, working closely with DevOps and engineering teams. This is ONSITE (Hybrid) in Seattle, WA. KEY RESPONSIBILITIES Own, maintain, and extend two HIL validation systems: Satellite HITL: Consisting of FPGA HDL, embedded Linux, and application-layer code in Python. End-device HITL: Built on BLE SOMs, validating our SDK for terrestrial and satellite communication (C/Zephyr). Develop test strategies and automation to validate embedded software and system-level performance. Collaborate with the DevOps team to integrate HIL systems into CI pipelines. Create reproducible validation workflows and improve observability of test results. Troubleshoot hardware/software integration issues across FPGA, embedded Linux, BLE stacks, and SDK layers. Document validation frameworks, test coverage, and best practices. BASIC QUALIFICATIONS Strong experience with embedded software development (C, C++, or similar). Hands-on experience with system validation or hardware-in-the-loop testing. Familiarity with Zephyr RTOS and BLE-based SOMs. Exposure to HDL/FPGA, embedded Linux, and Python applications. Understanding of CI/CD pipelines and integration with automated test frameworks. Ability to debug across hardware, firmware, and software layers. STRONGLY DESIRED Experience with satellite or communication systems. Familiarity with DevOps tooling (Docker, Jenkins, GitHub Actions, or similar). Prior work in SDK validation or system-level testing. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. 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You can access our privacy policy here: jobot.com/privacy-policyCompany DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.

AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia and Trainium chips, deliver industry-leading ML inference and training performance at the lowest cost in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler and runtime and natively integrates into popular ML frameworks, such as PyTorch, JAX, TensorFlow and MxNet. AWS Neuron is is widely adopted by customers and partners like such as PyTorch, Epic Games, Snap, Airbnb, Autodesk, Alexa, and Rekognition. Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations. We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history: We are seeking an accomplished Software Engineering Manager with strong leadership and mentoring capabilities to join our Deep Learning Compiler team. In this Manager III role, you will lead a team of seasoned compiler and software engineers in the design and development of a machine learning compiler simulator and verifier. The simulator simulates the model execution at different stages of compilation, targeting AWS Inferentia and Trainium chips. The verifier statically checks for correctness and key conditions within the compilation process, enabling early detection and prevention of failures. Together, they play a critical role in enhancing development efficiency, streamlining debugging, and enabling rapid prototyping. You need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron Manager, innovating on behalf of our customers. You will leverage your technical skills as a hands-on partner to AWS ML services teams, involved in pre-silicon design, bringing new products/features to market. Explore the Product: , , A day in the life About this hiring group Inclusive Team Culture Here at Annapurna Labs, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. About the team Inclusive Team Culture Here at Annapurna Labs, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- B.S. or M.S. in Computer Science or related field • 5+ years of engineering team management experience, • Experience partnering with product management, • Strong knowledge of developing and/or managing simulation software, • Experience with and deep learning models and algorithms., • Experience with LLVM, LMIR, • Interactions with open-source communities Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 $166,400/year in our lowest geographic market up to $287,700/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.

Job DescriptionFuturalis Tech is a global technology consulting firm raising standards in cloud services. Our mission is to help clients harness the benefits of the cloud. Our holistic approach integrates all aspects of IT into the overarching cloud strategy to reduce costs, increase efficiency and improve security. Are you passionate about developing simple, elegant solutions to complex problems? Do you like working closely with customers and delighting them with amazing user experiences?Description • The IoT Edge Developer will assume ownership of engineering the software platforms and applications that enable our internal and third party devices to deliver real time data from across the globe., • This role focuses on IoT at the edge (on the devices themselves) with extension into a modern cloud IoT platform. Successful candidates will be experienced creating open source ecosystems on Unix-like platforms that facilitate all the functionalities of an evolving IoT platforms as well as creating applications that communicate with hardware through various protocols and bus types., • Working closely with device systems engineers and cloud platform engineers you will build world class scalable and robust software systems that ensure our IoT edge devices evolve with customer needs.Requirements, • Bachelor s Degree in Computer Engineering, Computer Science, or Electrical Engineering, • 5+ years as a software engineer, • 5+ years experience with compiled/interpreted object-oriented languages (i. e. Java, Scala, C++, C#, Python, Erlang, Elixir, Javascript, etc.), • Proficiency in Linux/Unix-like operating systems, • Demonstrated experience with developing with technologies routinely found in IoT platforms (i. e. MQTT, TCP/IP, machine learning, cellular radios, Bluetooth, GNSS receivers, RFID readers, CAN Bus, OPC, various sensors, etc.), • Demonstrated experience with multiple programming paradigms (i. e. object-oriented, functional, etc.), • Demonstrated desire to continuously learn and understand new technologies, • Strong interpersonal and communication skills, • Experience with AWS services (EC2, S3, Lambda, IAM, IoT, etc.), • Experience developing embedded systemsBenefits, • Paid Time Off(PTO), • Employer-sponsored health insurance, • 401(k) plan w/ employer match, • Employer-paid Trainings and Certifications

Job DescriptionBuilding data-driven AI applications and agents is too complex, even for advanced developers. At Spice AI, we’re making it simpler by helping developers combine code, data, and AI to build truly intelligent, decision-making systems. Our mission is to make this as easy as creating a modern web page. We created Spice.ai OSS, a portable AI database written in Rust with a unified SQL interface to query, materialize, and accelerate data from any source, co-located with machine learning models. By bringing compute, data, and models together, Spice OSS enables secure AI-Feedback-Loops (AI-Fly-Wheels) for apps and agents to learn and adapt. We just announced the 1.0-stable release of Spice.ai OSS. For a deeper dive into the vision, watch Luke's CMU Databases talk on Spice.ai OSS at and read his Materialized View interview at . We're also building the Spice.ai Cloud Platform, offering managed, cloud-scale Spice.ai OSS along with tools for high-performance SQL, machine learning training, and inference in an interconnected AI backend-as-a-service. At Spice AI, we hire for MEI: Merit, Excellence, and Intelligence. We're looking for exceptional, top-tier engineers - A players - who are driven to solve hard problems and push the boundaries of what's possible for AI.Who we are looking for • You are an exceptional engineer., • You are a problem solver. You start customer problems and figure out how to solve them with technology., • You think differently. You do not accept the status-quo. You challenge the current model of the world and take leaps of faith to build it better for everyone., • You are positive. Instead of focusing on limitations, you ask what’s possible., • You care about meaningful work. Your work is more than a job., • You are comfortable with ambiguity and unknowns, and in these situations, you lead by creating clarity., • You are passionate about high performance and have high standards.What we're looking for, • At least 2 years professional experience with Rust or 3+ years professional experience in C/C++, • Experience in designing, implementing, scaling and shipping production distributed and data systems., • A track record of strong design, architectural, engineering and product decisions., • Excellent communication skills., • Ability to ramp up quickly and hit the ground running., • Ideally experience contributing to open-source projects., • Experience with Apache infra, CNCF-stack, and cloud-native development, and ideally with Rust/Golang.Your responsibilities, • An outstanding contributor in the Spice.ai open-source project., • Creating, designing, and building the distributed and data systems architecture of the Spice.ai Cloud Platform, our cloud systems, and spicerack.org., • Take ownership and drive initiatives for improving the product.Your first 90-days, • Your first month - ramp up and contribute improvements to the Spice.ai project, • 30-60 days - contribute to weekly Spice.ai releases

Job DescriptionPrincipal Data Scientist – (Gen AI, Machine Learning): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities • Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities, • Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption, • Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments, • Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation, • Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and MLRequirements:, • Degree in Computer Science, Mathematics, or a related field, • 8+ years of experience in applied ML research and production deployment, • 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production, • Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production, • Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems, • Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP, • Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impactPreferred Qualifications, • MS or PhD in Computer Science, Machine Learning, or a related discipline, • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse, • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks, • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment

Job DescriptionWho we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are The Advanced Technologies Group (ATG) at Metropolis is looking for a Principal Software Engineer to lead advancements in our Edge platform as we expand the Metropolis mission to new areas beyond parking. ATG is developing and deploying a broad suite of technologies that enable "AI for the Real World" including cameras, edge compute, sensors, displays, and robotics. The Edge platform is our mission critical backend system that consumes and organizes event data from those field deployed hardware and ML systems, integrating real-time hardware events and machine learning outputs into a core mobility identification platform that powers our business applications. In this role, you will guide software development of the Edge platform as we expand into new business verticals, and add both new capabilities and new devices into the ecosystem. As a senior member of the ATG team, you will work with leadership to craft a technical vision and strategy for ATG that propels our entire suite of core technologies into the next phase of growth. This role will provide significant thought leadership, shape a strong engineering-led culture, and play a critical role in the company's success by creating foundational capabilities on which Metropolis builds remarkable experiences. The ideal candidate will have an end-to-end systems engineering mindset, looking for opportunities well beyond just the software of our Edge platform and into hardware, edge device software and machine learning systems. We are looking for a big thinker who can connect the dots between disparate technologies and systems to move Metropolis forward through ambiguity, but also who has the practical experience to drive improvements to our existing production systems. If you are energized by working across multiple teams and technologies together to solve real world problems at scale, and have a background with distributed hardware / ML / Software systems, this role is for you! What you'll do • Define technical direction for ATG software that organizes the teams to support existing edge systems, develops new capabilities, and creates a strategy for the future, • Work closely with cross-functional leaders in Hardware, Machine Learning, and other engineering teams to ensure alignment on edge initiatives, • Lead the Edge team to design and build backend software solutions that enable an expanding edge device ecosystem., • Guide the team technically, engaging in hands-on troubleshooting, architecture definition, and implementation of best practices, • Establish robust and right-sized processes and mechanisms to ensure the team is freed up to work on building, • Invest in the career development of team members, develop future leaders, and create a culture of cohesion and teamwork, • Participate in talent acquisition processes to ensure that we have world-class engineers across all skill and experience levelsWhat we're looking for, • BS, MS or PhD in Computer Science or a relevant engineering discipline, • 14+ years of experience with at least 4+ years of experience as a hands-on senior, staff, or principal engineer, • Proven track record of designing and delivering large-scale distributed systems and software products in high volume, mission-critical applications, • Experience developing technical strategy, getting buy-in from business and technology stakeholders, and guiding team(s) through execution, • Deep understanding of modern software design processes across the entire software development lifecycle, including TDD/BDD, CI/CD, and related build/test/deploy processes, • Experience working directly with or adjacent to distributed edge / IoT / hardware / ML systems, • Strong fundamental computer science skills, and expert-level knowledge of Scala, Java, or other languages that run on the JVM, • Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products, • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role We are looking for intellectually curious, highly motivated individuals to be foundational members in shaping the Discovery Platform. You will play a critical role in defining the technical direction and designing a world-class scalable Discovery system that is scalable enough to keep pace with our business growth to power feed, browse, search and taxonomy systems while catering to the unique challenges of operating a marketplace for live shopping! Working in a highly cross functional role, you’ll make key decisions about how we integrate retrieval, ranking through machine learning, real-time and stream processing, content understanding, materialization into a highly personalized discovery experience that unlocks product iterations while providing strong reliability. An ideal candidate will have experience building discovery backend and data systems at scale, with a knack for working closely with product engineers to solve immediate problems for our users while making right tradeoffs towards building a platform. We’ll often prototype new ideas quickly, and then need to build them for extreme scale while coordinating closely with other teams - the ideal person for this role is an expert at both of these approaches. Learn more about the Discovery systems at Whatnot from our blog posts on Whatamix, LLMs for Search. What you'll do: * Build the services and infrastructure to enable advanced recommendation systems solutions for real-time, dynamic feeds * Build a scalable, stable, low latency discovery experience * Partner closely across the machine learning, platform, and product engineering teams to utilize models to solve discovery problems * Contribute scalable solutions across various serving stacks at the feed, search, machine learning service, and Discovery application layers. * Define and advance our technical approach to scalable recommendation systems. Team members in this role are required to be within commuting distance of our San Francisco, Los Angeles, Seattle, and New York hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Software Engineer you should have 5+ years of experience, a Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience, and ideally deep experience with several of the following: * Industry experience in building and scaling a platform to handle high volume / throughput applications * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. You can mentor others and prioritize building inclusive, supportive teams. * Experience in machine learning fields (e.g. Recommendations, Content Understanding and Search). * Expert at designing and building scalable and maintainable backend systems. * Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana * Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark, OpenSearch, ElasticSearch, Lucene, SOLR. * Experience with concurrent programming patterns across distributed systems (AsyncIO python preferred), and optimizations / profiling / observability associated with them. * Experience managing cloud technologies (AWS or Google Cloud) and comfort with infrastructure-as-code approaches (e.g. Terraform). In addition to these role-specific qualifications, all engineering team members are expected to have: * Proficiency in at least one server-side programming language (preferably Python), common algorithms and data structures, and software design principles. * Self-starter ethic, thriving under a high level of autonomy. * Exceptional interpersonal and communication skills. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $162K - $215K

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: At ZipRecruiter, where a universe of data, brimming with over a billion archived job postings, tens of millions of dynamic job seekers, and countless impression and click events, there's plenty of opportunities for innovation. Here, your experience will be put to work crafting new, data-driven features that impact the lives of millions, connecting them to their dream jobs. We're tackling exciting challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and known salaries. But the fun doesn't stop at model-building. Our work involves an immersive dive into data - gathering, cleaning, analyzing, and extracting meaningful insights. Key Focuses: • Design, develop, and maintain machine learning models and algorithms to solve complex business problems, • Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools, • Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets, • Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalabilityMinimum Qualifications:, • 3+ year of professional software development experience with a focus in machine learning, • Deep experience in machine learning algorithms, techniques, and best practices, • 5+ year of professional software development experience with a focus in machine learning, • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience, • Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices, • Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn, • Experience with deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs), • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $140,000-$200,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job Description Amen Clinics are outpatient health care clinics that have been providing mental wellness strategies to patients of all ages since 1989. We offer patient-first experiences and customized solutions to an array of behavioral and psychiatric conditions. This is an exciting and unique professional opportunity. The psychiatrist provides clinical leadership to ensure treatment is evidence-based and outcome driven. In addition to having the use of master’s level clinical historians, psychological testing, neuropsychological screening tools, functional brain imaging, and emerging treatments such as TMS and neurofeedback, you will be in a healthy and aesthetically pleasing work environment. You will be mentored on a variety of integrative methods that will expand your professional repertoire. You will also have multiple opportunities for writing and speaking, if that appeals to you. Essential Duties and Responsibilities: • Assist in the development, promotion and delivery of the approved Amen Clinics Method to brain health, • Patient evaluations – incorporate clinical history and brain SPECT scan findings during patient evaluation and complete final report on the day of patient evaluations., • Expected to remain current with brain imaging, psychiatric, pharmaceutical and nutraceutical technologies., • Evaluation and treatment of patients with various conditions, including: o Attention deficit/hyperactivity disorders o Mood disorders o Anxiety disorders o OCD o Psychosis o Post-Traumatic Stress Disorder o Traumatic brain injury o Obesity o Medical issues/hormone imbalances o Addictions o Alzheimer’s Disease o Memory and learning issues o Cognitive impairment o Autism spectrum disorders o Brain infections, such as Lyme disease • Commitment to using evidence-based, non-pharmacologic interventions correlated with research findings by Amen Clinics., • Attending Physician and Staff meetings., • Outreach/collaboration with outside professionals in order to build good relationships with referral sources. Qualifications and Requirements: • Board Certified preferred. Double Board Certified – a plus., • Experience working in a private practice setting--being efficient, developing referral relationships, doing outstanding clinical work, and establishing positive therapeutic relationships., • Willingness to learn to use brain imaging in clinical practice. We will train you to use brain SPECT imaging., • Experience dealing with medical issues including hormone imbalance and deficiencies as well as understanding the role they play in contributing to and/or complicating mental illness., • Experience treating patients with interventions other than psychotropic medications, including psychotherapy and evidence-based nutraceuticals. For those with limited experience in nutraceutical and other non-pharmacologic interventions, we will provide training., • Dedication to helping individuals, families and systems (such as schools, businesses, and treatment facilities) reach their full potential by creating and developing “brain healthy” strategies and practices., • Time management, organization and computer skills and ability to work independently and within a team are critical., • Excellent command of spoken and written English., • Empathy, emotional stability, ability to relate well to others, good communications skills, and above all genuine care and regard for the patient. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Sitting for long period of time, • Frequent typing and viewing of computer screen, • Frequent use of hand and fingers with machines, such as computer, copier, fax machine, scanner and telephone, • Frequent hearing, listening and speaking by telephone and in person, • Occasionally required to stand, walk, reach with hands and arms, stoop or bend Work Environment: The work environment described here are representative of those that an employee encounters white performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Work indoors in temperature-controlled environment, • The noise level is usually moderate with occasional outbursts from patients during treatment

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. To transform the way millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. To ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive workplace. As a Senior Software Engineer, you will also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) About the team: Our Audience Intelligence crew is a band of data-obsessed engineers, ML specialists, and product thinkers who refuse to settle for fragmented customer signals. We're architecting the unified identity graph and feature platform that gives every team at StubHub a near-real time, 360°ree; view of each fan. That way decisions are powered by facts, not hunches. In short, we turn noisy clickstreams into high-fidelity fuel for personalization at scale. The challenge we're cracking: today, user data is scattered across devices, sessions, and tables. We're building the pipelines, identity resolution, and enrichment layers that stitch it all together, update it in near-real time, and expose it as clean, versioned features any model or campaign can trust. When we're done, marketing tech, ranking, and experimentation teams will target with surgical precision instead of a one size fits all experience. Because a message for everyone is a message for no one. What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineersWhat We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Machine Learning Engineer A fixed annual salary of $100,000 - $170,000, an employee equity plan grant, and world-class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the role: Join Rokt as a Machine Learning Engineer and become a driving force in building AI-powered products that shape the future of ecommerce. In this high-impact role, you’ll leverage cutting-edge AI tools and a builder’s mindset to develop scalable solutions used by millions of customers worldwide. If you’re excited by the challenge of turning bold ideas into reality and pushing the boundaries of what’s possible with AI, this opportunity is for you. Requirements What You’ll Do • Building and Deploying ML Models: Collaborate and support the design, training, and deployment of machine learning models that contribute to personalization, targeting, and recommendation systems across the Rokt platform., • ML System Development: Work with senior engineers to move models from prototype to production by helping with feature engineering, training experiments, and setting up model serving and monitoring., • Focus on Quality and Efficiency: Write clean, efficient, and reliable code to ensure ML pipelines and components run smoothly and scale effectively within our production systems., • Collaborate and Learn Across Teams: Partner with data scientists, product managers, and software engineers to understand requirements and translate them into practical model implementations and experiments., • Grow with the ML Infrastructure: Learn and contribute to improving our ML tools, workflows, and processes—helping to make model development more consistent, automated, and reproducible.Who You Are, • AI-Enthusiast & Quick Learner: You embrace new technologies (like AI/ML frameworks) and learn rapidly, adapting to innovative tools and workflows to stay ahead of the curve., • Problem Solver: You excel at breaking down complex problems using first principles and creativity. Challenges are puzzles you’re excited to solve., • Entrepreneurial Mindset: You take ownership of outcomes, move fast with confidence, and aren’t afraid to navigate ambiguity—figuring things out independently when needed., • Collaborative Team Player: You communicate clearly and work well with cross-functional teams. You value feedback, share ideas openly, and help others succeed., • Build the Future of AI in Ecommerce: Be at the forefront of AI-driven transformation in a company that’s pioneering how brands engage customers in the “moment that matters” during online transactions., • Hyper-Growth = Fast Progression: Rokt is a rapidly growing tech leader, which means huge opportunities for your career advancement, learning, and taking on bigger responsibilities quickly., • Culture of Builders: Work with a smart, humble, and bold team that shares a “builder” DNA – we love to innovate, take risks, and turn ambitious ideas into tangible results. We win as a team and learn from every experiment., • Ownership & Impact: Every Rokt’star (employee) has a voice and real equity in the company. You’ll have autonomy to make decisions, drive projects, and see the direct impact of your work on millions of users., • World-Class Benefits & Support: Join a people-first culture with transparent career paths, continuous development, and great perks (equity grants, catered lunches, global offices, and more) that empower you to do your best work. About The Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!, • Extra leave (bonus annual leave, sabbatical leave etc.), • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!, • Dog-friendly office, • Work with the greatest talent in town, • See the world! We have offices in New York, Seattle, Sydney, Tokyo and London We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team. Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test as well as an employee personality profile assessment, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.

Job Description What is special about Lighthouse? Lighthouse is built on a foundation of unique, compassionate, highly driven individuals. We elevate the strengths and talents of those around us while leveraging opportunities for growth. We offer the experience of solving complex problems while continuing to grow multiple facets of your career. Lighthouse is where innovation meets support and where collaboration is the key ingredient to success. We grow together and are stronger together. What’s unique about this role? Lighthouse is seeking a Data Scientist Intern to join our Product Development team in building the next generation of eDiscovery intelligence products. In this role, you will develop highly accurate data models that drive predictability, deliver insights, and enhance business analytics. You will contribute to engineering highly available and scalable systems for real-time and near real-time analytics, leveraging both new and existing NLP and document classification technologies. If you enjoy working in an agile, collaborative environment, solving complex problems, and applying advanced machine learning and statistical techniques to deliver actionable insights, this internship is for you. What will this person do? • Work 25–40 hours per week supporting the Data Science team in designing, prototyping, and testing scalable machine learning techniques for classification, recognition, matching, and attribute extraction to solve key business problems., • Select and apply appropriate statistical and machine learning algorithms to address diverse data challenges while ensuring data security and privacy., • Translate business opportunities into data science solutions by applying mathematical and statistical techniques to available datasets., • Support client facing solution developers with issue resolution. Bring your passion and together we will shine. It would also be great if you had the following: • Experience developing and implementing ML/AI models using programming or scripting languages (Python strongly preferred; hands-on familiarity with one or more of these: Spark, Scala, Databricks, MLFlow is a plus), • Hands-on familiarity with one or more cloud platforms such as Azure, AWS, or GCP, • Experience working with both structured and unstructured data using industry-standard toolsets (e.g., SQL Python Libraries for data analysis exploration and visualization e.g., Pandas, and SQL variants), • Experience using modern AI tools for software development (e.g., GitHub Copilot, Cursor, Windsurf, etc.), • Currently enrolled in, or recently graduated from, a program in data science, computer science, statistics, or a related field, • Familiarity with software engineering principles such as testing at scale, CI/CD, and Agile development practices., • Understanding of the fundamentals of machine learning, generative AI, multi-modal data analysis, data mining, and predictive modeling, with exposure to applying these methods to real-world problems, • Motivated to learn from peers and seniors and follow industry trends. Having an experimentation mindset., • Willingness to take on solving new challenges, presentation skills to deliver insights succinctly. Work Environment and Physical Demands • Duties are performed in a typical office environment while at a desk or computer table., • Duties require the ability to use a computer, communicate over the telephone, and read printed material, in a quiet and professional setting., • Duties may require being on call periodically and working outside normal working hours (evenings and weekends). Lighthouse celebrates and thrives on diversity and is an Equal Opportunity Employer. We hire, train, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. We welcome any talents and contributions you can bring to the team and are deeply committed to growing an environment where everyone can feel safe, is respected, and can show up as themselves. Come as you are! As required by applicable pay transparency laws, Lighthouse complies with compensation disclosure requirements for roles that may be hired in locations under these requirements. Factors that may be used to determine your actual salary may include a wide array of factors, including: your specific skills and experience, geographic location, or other relevant factors. The salary range for this position may be tailored to be lower or higher in different talent markets. Lighthouse interns are eligible to participate in the 401k with company match after 90 days of employment with Lighthouse. As a trailblazer and catalyst for change, Lighthouse rises to each opportunity to help our clients, and our people do what they do best—shine.

Job DescriptionCompany Description Are you passionate about building great products at the intersection of RF engineering and software? Do you thrive in environments where you are empowered to make high-impact decisions and bring clarity to complex, ambiguous problems? Do you want to be part of a fast-moving startup with massive upside potential? Come and join us at Spectrum Effect! Spectrum Effect’s mission is to solve the most challenging and costly problems in the wireless industry through innovation and automation. Our team is passionate about creating disruptive technologies, developing solutions with engineering excellence, and delivering substantial value to our customers. Protected by 30 patents and deployed by leading mobile operators across the globe, our Spectrum-NET software solution performs automated ML-driven analysis of radio access networks. Spectrum-NET is a cloud-native, horizontally scalable solution based on a Kubernetes-orchestrated microservices architecture. Our 50+ person team is located primarily in Seattle (U.S.) and Monterrey (Mexico), with team members enjoying ownership in our private company through stock options and competitive salaries. This is an amazing opportunity to join an emerging leader in the ML-driven automation space and make an impact on the mobile industry. Job Description We are seeking a Principal Software Engineer with a strong aptitude for designing, developing, and deploying high-performance software solutions while defining best practices and technical standards. The ideal candidate will excel in navigating ambiguity, driving cross-functional collaboration, and translating complex technical concepts or insights into thoughtful solutions. We are looking for someone who can: • Solution Ownership: Lead the rapid design, development, and iteration of software solutions and features., • System Translation: Work with system engineers to translate complex technical RF requirements and deliver top-tier software solutions that are technically sound, feasible, and aligned with business objectives., • Comfort with Ambiguity: Thrive in a fast-paced startup environment with shifting priorities. Maintain a pragmatic, solutions-oriented outlook and balance speed versus quality trade-offs effectively. Bring structure and clarity when navigating situations with high uncertainty., • Technical Communication: Communicate complex software concepts effectively to both internal and external stakeholders, including executive audiences., • Mentoring: Provide technical guidance to software engineers, particularly in areas like improving engineering processes, ensuring software quality and security standards, and ensuring system reliability and performance. Qualifications, • Bachelor’s degree in Computer Engineering or equivalent, • Minimum of 7 years of Python, Go, Rust, C++, or similar related experience and 10+ years of general software development experience, • Experience designing, building and working with real-time systems, with demonstrated comfort handling low level details (e.g., manual memory management, profiling experience), • Familiarity working without a traditional operating system, • Strong curiosity and willingness to learn domain-specific telecom industry knowledge as appropriate, • Exceptional ability to work independently and proactively with minimal oversight, • Strong knowledge of software architecture principles and ability to contribute to architectural discussions, • Strong judgment, decision-making, and problem-solving skills, • Experience working in a leadership or senior engineering role, • Experience with technologies such as Kubernetes, Docker, Kafka, or NoSQL databases (e.g., MongoDB, InfluxDB), • Understanding of machine learning techniques and its applications is considered a plus, • Familiarity with Java or modern frontend technologies and frameworks (e.g., JavaScript), • Experience working with modern deployment techniques and practices, such as CI/CD pipelines and deployment automation, • Understanding of RAN (Radio Access Network) concepts, including cells, sites, controllers, and topologies Additional Information Why Join Us • Dynamic Team: Collaborate with passionate experts driving real innovation in the telecom space, • Career Growth: Work on high-impact problems with real ownership and visibility, • Meaningful Work: Help shape the next generation of ML-driven network analytics, • Attractive Benefits: Competitive salary, stock options, and a flexible work environment U.S. Person status is required for this position due to contractual obligations. This is a hybrid position. The candidate should be based in or willing to relocate to the Greater Seattle Area. Spectrum Effect, Inc is committed to diversity and inclusion. We are an equal opportunity employer and welcome applicants from all backgrounds to apply. Do you have the technical chops and product sense to help shape the future of wireless automation? Apply now—your next big opportunity starts here.

Job DescriptionAbout HighspotHighspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world. About the RoleOur Machine Learning Team is developing next-generation AI capabilities for Highspot’s leading sales enablement platform. We stay at the forefront of machine learning research, continuously improving our models and algorithms through collaboration with product and data science teams. Our mission is to help our customers unlock the power of machine learning to improve productivities, sales performance, and achieve their business goals. We are looking for a Senior Machine Learning Engineer to join us in this effort.What You'll Do • Collaborate with product and data science teams to identify opportunities that drive customer values, and define machine learning requirements, lead the development and deployment of machine learning solutions and applications, while ensuring scalability, reliability, and maintainability., • Develop and maintain a robust machine learning platform that enables the efficient deployment and management of machine learning models across our product offerings., • Stay up-to-date with the latest machine learning research and trends, and apply them to our product offerings, while mentoring and collaborating with junior team members to improve their technical skills, • Partner cross-functionally across all of Highspot’s feature engineering crews, as well as with QA/DevOps/Site-Reliability.Your Background, • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, • 5+ years of experience in developing and deploying machine learning models and systems, • Strong proficiency in at least one programming language (Python, Java, C++, etc.) and experience with machine learning libraries (TensorFlow, Keras, PyTorch, etc.), • In-depth understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and natural language processing, • Experience with data processing tools and technologies, such as Spark, Flink, Hadoop, and SQL databases, • Strong problem-solving skills and ability to analyze complex data sets., • Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders, • An entrepreneurial spirit: you’re agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals., • Comfortable with modern open source technologies and tools. #LI-NT1 Equal Opportunity StatementWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation. Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button.

Job Description About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We're looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere. About the role We are seeking a motivated AI Intern to join our AI/ML team and contribute to cutting-edge projects in artificial intelligence and machine learning. Location. This role is On-site in our Bellevue, Washington office. What You'll Do (Key Responsibilities) • Assist in building, training, and fine-tuning machine learning models., • Conduct research on AI trends, tools, and techniques., • Work with large datasets for data preprocessing, cleaning, and feature engineering., • Optimize and evaluate model performance using various metrics., • Support AI team members in deploying and integrating models into applications., • Write and document scripts, workflows, and processes., • Collaborate with cross-functional teams, including data engineers and software developers., • Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field., • Familiarity with programming languages such as Python, R, or Java., • Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn., • Experience with data manipulation using Pandas, NumPy, and SQL., • Understanding of deep learning, NLP, or computer vision is a plus., • Strong problem-solving and analytical skills., • Ability to work independently and in a team-oriented environment. #LI-AB1 #LI-Onsite Compensation$30—$30 USD You're a Great Fit if You're • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge, • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude, • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company, • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda, • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

Job DescriptionWho we are: Want to make an impact? Join our pack and come work (and play!) with us. We believe everyone deserves the unconditional love of a pet—and at Rover, our mission is to make it easier to experience that love. Founded in 2011, the Rover app and website connect dog and cat parents with loving pet sitters and dog walkers in neighborhoods across the US, Canada, and Europe. We empower our community of trusted pet sitters and dog walkers to run their own pet care businesses on Rover with the tools and security of a global company to back them. Headquartered in Seattle, Washington, we work closely with our teams in Barcelona, San Antonio, Spokane, and remote locations. We’ve got a reputation for being a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington’s Best Workplaces in the Puget Sound Business Journal. We're an agile, fast-growing company, and our leadership comes from some of the world's most respected tech companies. At Rover, our furry coworkers are just as important as our human ones—and we wouldn’t have it any other way. Along with making the joys of pet parenthood more accessible, we’re committed to fostering a diverse, inclusive, and welcoming community of pet people—and that starts with our employees. Who we're looking for:We are hiring a Product Manager III to focus on the Search Experience at Rover. This role will be instrumental in giving pet parents the experience and tools they need to find the best-matched care provider. This is an exciting opportunity to drive significant impact on a core customer experience. This role requires a balance of deep customer empathy, analytical acumen, and technical fluency to craft intuitive, high-performing search experiences that deliver tangible improvements for our owners and sitters. You will be responsible for understanding how care providers are deemed the "best match" according to our predictive models, working closely with UX and Data Science to unravel these insights and translate them into user-friendly explanations. You will also explore with the team how we might leverage new technologies to streamline the decision-making process for pet parents, and personalize search results. You will also work on improving the overall design and functionality of the experience, enabling searchers to succeed in their customer journey. The ideal candidate will be familiar with the challenges of operating a two-sided marketplace and will have experience building features related to search, such as personalization, recommendations, and information retrieval. This is a hybrid position that has the minimum expectation to work out of our Downtown Seattle Office two days per week on Mondays and Thursdays. For this reason, candidates must be based in the Greater Seattle Area or willing to relocate.Your Responsibilities: • You have a true passion for Rover’s mission and values - and are highly motivated by the responsibility to drive business growth through the product., • You have an unlimited curiosity, always probing for the “why” behind user behavior, market shifts, and emerging technologies., • You know how to leverage quantitative and qualitative data to solve for ambiguous problems, make decisions and drive growth., • You can go get the information you need to validate your hypotheses and can synthesize it into what to do next., • You never hesitate to roll up your sleeves and tackle something hands-on, you persevere when others fall away., • You never stop pushing towards clarity and delivery and bring your cross-functional partners along with you., • You maintain an obsession over the needs of our owners and sitters and a dedication to solving problems., • You are familiar with the complex dynamics at work in consumer marketplaces., • You are curious about AI applications to solve customer problems with ease and efficiency.Your Qualifications:, • 4+ years of product management experience, preferably in search, discovery, or content ranking systems., • Experience building features related to search and e-commerce, such as personalization, recommendations, and digital shopping experiences., • You have experience partnering with UX teams to build great online experiences for users., • Deep customer empathy and experience applying user research and behavioral data to guide decisions., • Proven success delivering complex, data-intensive products with measurable customer impact., • Strong proficiency in data analysis, experimentation, and KPI tracking (SQL, dashboards, A/B testing frameworks)., • Experience with product experimentation frameworks., • You communicate effectively with collaborators and stakeholders across teams., • A bias for action, comfort with ambiguity, and strong sense of ownership., • Understanding of modern search technologies (e.g., Elasticsearch) and machine learning concepts is a plus., • BS/MS/MBA in Computer Science, Business, Mathematics, Economics or a related technical field or equivalent practical experienceBenefits of Working at Rover.com, • Competitive compensation, • 401k match, • Flexible PTO, • Competitive benefits package, including medical, dental, and vision insurance, • Commuter benefits, • Bring your dog to work (and unlimited puppy time), • Doggy benefits, including $1000 toward adopting your first dog, • Stocked fridges, coffee, soda, and lots of treats (for humans and dogs) and free catered lunches semi-monthly, • Regular team activities performed in-person and virtuallyCompensation:, • In the greater Seattle area the first-year salary range is $129,139-$171,755. Additionally, Rover offers a long-term incentive plan with a company performance-based cash payout and benefits to full-time employees.

Job Description Team Red Dog is seeking an experienced Principal Product Manager to drive AI product strategy and execution for our Global technology client's Elevate initiative—an innovative program empowering nonprofits and educational institutions through intelligent technology. This hybrid opportunity located in Redmond, WA offers a chance to create meaningful impact by shaping how AI and Azure-based solutions improve customer experiences, streamline operations, and strengthen community outcomes. If you are passionate about AI-driven innovation, cross-functional collaboration, and mission-focused technology, this role offers an incredible platform to make a difference. Top Required Skills (Must Haves): Product Management (10+ years): Lead end-to-end product strategy, define features, and manage delivery of large-scale technology solutions. • AI/ML Fundamentals (4+ years): Apply artificial intelligence and machine learning principles to solve business problems and optimize system performance. How you will make an impact: • Define and drive product strategy in collaboration with business owners and engineering teams., • Develop detailed product features and specifications to support high-quality delivery., • Partner across multiple stakeholder groups to drive alignment and ensure project success., • Facilitate User Acceptance Testing (UAT) and rollout planning., • Present key updates to project sponsors and steering committees., • Implement systems development and project management best practices., • Identify opportunities for AI-driven automation to enhance user and business outcomes. The expertise you bring: • 10+ years of product management experience with proven success delivering large-scale solutions., • Strong background in feature definition, product strategy, and stakeholder communication., • 4+ years of experience applying AI/ML fundamentals in product environments., • Deep understanding of Azure services and API integration., • Ability to manage competing priorities and deliver results in complex, evolving settings., • Bachelor's degree in Computer Science, Engineering, or a related field (MBA preferred). What makes a candidate highly successful in this role: Strong candidates bring a blend of strategic and technical expertise, along with exceptional interpersonal skills. Success in this role means being able to navigate diverse perspectives, manage complex initiatives, and align cross-functional teams around shared outcomes. The most effective candidates are skilled in product strategy, experienced in AI/ML integration, and comfortable working with both business and engineering partners to deliver scalable, impactful solutions. Why Work with Team Red Dog? At Team Red Dog, people are at the heart of everything we do. Our commitment to personalized service and our deep experience in matching talented professionals with meaningful roles at some of the world's most inspiring companies is what sets us apart. We take the time to understand your unique skills, strengths, and passions—because we believe your career should reflect who you are. Whether you're looking to grow, pivot, or simply find a place where your work truly matters, we offer opportunities that empower you to make a positive impact. With excellent benefits, a supportive team, and a role where you can thrive while doing what you love, we're here to help you take the next step with confidence. Join us—and discover what it means to be genuinely valued in your career. Generous benefits package for qualified employees includes: • Health insurance (medical, dental, vision, and life), • Employer-matched 401K plan, • Paid time off, • Paid holidays, • Profit sharing Estimated Start Date: Immediately Location: Hybrid Work Arrangement - Redmond, WA Job #: 2372 Job Type and Estimated Duration: W2, contract, full time, through June 2026 with possible extension Rate: $16,000–$17,800/month At Team Red Dog, we are committed to providing equal opportunities to everyone, regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other characteristic. If you need accommodation during the recruitment process, reach out to , and we will work to ensure an accessible experience. We strictly adhere to federal, state, and local laws to maintain a workplace free from discrimination and harassment. We offer competitive compensation aligned with U.S. industry standards, and our final offer will reflect the candidate's location, job-specific skills, experience, and knowledge. • All applicants must be authorized to work in the U.S. without the need for sponsorship., • Team Red Dog is an E-Verify employer., • Employment is contingent upon the successful completion of a reference and background check., • Please no solicitations from C2C or recruiting firms.

Job Description Fictiv Exists to Enable Hardware Innovators to Build Better Products, Faster Fictiv, coined the "AWS of manufacturing," is a leading technology company transforming the $350 billion manufacturing industry. Our cutting-edge cloud platform uses AI and machine learning algorithms to help companies build hardware at the speed of software. Come join our growing team! Supplier Quality Engineer – Pacific Northwest (Remote, Local Travel) Location: Remote – Must Reside in Seattle, WA; Portland, OR; or Spokane, WA Metro Areas Type: Full-Time | Remote | Local Travel Build the Future of U.S. Manufacturing At Fictiv, we're on a mission to make manufacturing faster, smarter, and more reliable. As a Supplier Quality Engineer (SQE) in the Pacific Northwest, you'll help make that happen by partnering directly with local suppliers to elevate quality and performance. You'll work 100% remotely, but this isn't a behind-the-desk role — it's about building relationships and driving impact where it matters most: on the manufacturing floor. That's why we're seeking someone who lives in the Seattle, Portland, or Spokane area and understands what makes the region's supply base tick. Please note: We can only consider U.S. citizens or valid Green Card holders for this position. What You'll Do • Drive Quality Excellence: Visit local suppliers to evaluate capability, strengthen processes, and ensure consistent on-time, high-quality delivery., • Develop Partners, Not Just Suppliers: Coach manufacturing partners to build quality into their processes — not just inspect for it at the end., • Lead Problem Solving: Guide suppliers through root cause analysis and corrective actions that prevent repeat issues., • Elevate the Network: Use Fictiv's maturity models and scorecards to drive measurable improvement across multiple partners., • 5+ years of experience working with suppliers, preferably in mechanical parts or components, • Proven success improving supplier quality and performance through strong relationships and accountability, • Experience applying ISO 9001, AS9100, or similar quality management systems, • Skilled in root cause analysis, corrective action planning, and data-based decision-making, • Remote Flexibility, Local Impact – Enjoy full remote flexibility while engaging directly with manufacturing partners in your region., • Mission-Driven Work – Help U.S. manufacturers achieve new levels of quality and innovation., • Autonomy + Collaboration – Operate independently in the field, supported by a collaborative global quality and sourcing team. This is a remote but highly field-driven position. Travel will be focused primarily within the Seattle, Portland, and Spokane metro areas, with occasional U.S. trips as needed. Candidates must reside in one of these markets to be considered. Ready to make your mark on the Pacific Northwest manufacturing landscape? Apply today and join us at — where innovation meets precision. About Fictiv Our Digital Manufacturing Ecosystem is transforming how the next rockets, self-driving cars, and life-saving robots are designed, developed and delivered to customers around the world. This transformation is made possible through our technology-backed platform, our global network of manufacturing partners, and our people with deep expertise in hardware and software development. We're actively seeking potential teammates who can bring diverse perspectives and experience to our culture and company. We believe inclusion is the best way to create a strong, empathetic team. Our belief is that the best team is born from an environment that emphasizes respect, honesty, collaboration, and growth. We encourage applications from members of underrepresented groups, including but not limited to women, members of the LGBTQ community, people of color, people with disabilities, and veterans.

Job DescriptionOur Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots! In this role, you will: • Design and build a scalable, efficient, and robust robotaxis dispatch service., • Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques., • Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems., • Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency., • Integrate optimization algorithms into the robotaxi platform., • Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field., • Proven experience in algorithm development, with a strong emphasis on operational research methodologies., • Proficiency in programming languages like Python, Java or Kotlin, or C++., • Solid background in machine learning, AI, operational research, and data analysis., • Passion for learning new technologies, domains, and challenging the status quo., • Strong mathematics skills., • Exceptional problem-solving, analytical, and quantitative skills.Bonus Qualification, • PhD in Operations Research, Computer Science, or a related field with a focus on optimization algorithms or AI., • Experience with GIS and mapping software., • Experience in transportation, logistics, or autonomous vehicles., • Experience in building/using fleet simulation tools., • Ability to lead through ambiguity and work with diverse stakeholders., • Ability to Iterate quickly and efficiently on building end-to-end experiences., • Experience handling large data sets and scaling service horizontally to a large number of users., • Experience developing cloud services and an understanding of design for scalability, performance and reliability., • Knowledge about microservice design patterns and DB access., • Knowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSimulation is essential to Zoox’s mission. Zoox uses simulation to develop our driving software, validate our safety, and analyze our real world performance. Our team’s work directly impacts how rapidly and successfully Zoox will achieve its goals. Our team’s mission is to provide the simulation framework and tools for Zoox to rapidly develop our hardware and software, and to help answer the ultimate question: "Is Zoox’s robot safe to drive on our cities’ streets?" Learn more about our Simulation teamSim C++ Framework (Foster City, CA, Seattle, WA and Boston, MA) • Role: Architect and develop core simulation foundations - including core simulator framework, communication framework, determinism and reproducibility, performance optimization., • Needs: Deep expertise in C++. Experience with multi-threading, and/or distributed real-time systems., • Best for: Architects/engineers who care about robust and elegant architecture, correctness, maintainability to deliver foundational technology to boost all Simulation efforts., • 8+ years of experience in a related fieldSimulation Traffic Modeling & Behavior (Foster City, CA, Seattle, WA and Boston, MA), • Role: Populate the simulated roads with intelligent participants. Make simulated cars, pedestrians, bicyclists, motorcyclists, etc to behave realistically by default, and tunable to create a full gamut of traffic/agent behaviors., • 8+ years of experience in a related fieldScenario Automation (Foster City, CA and Seattle, WA), • Role: Develop Python platform for large scale generation of autonomous driving scenarios for simulation, • 8+ years of experience in a related fieldScenario Editor (Foster City, CA), • Role: Build Scenario Editor for creating effective scenarios and unlock the full potential for simulation., • 8+ years of experience in a related field3D Simulator (Sensor Simulation, Procedural Worlds, and HiL) and (Foster City, CA and Seattle, Wa), • Role: Develop realistic simulation for all our sensors (camera, lidar, radar, and more). Extend our procedural world generation pipeline for improved realism and performance. Optimize our 3D simulator for end-to-end driving software simulation at scale as well as hardware-in-the-loop simulation., • Needs: Fluency in C++. Bonus points for experience in sensor simulation, rendering pipeline, asset pipeline, art tools, or CPU/GPU performance optimization., • Role: Graphics and AI/ML, • 8+ years of experience in a related fieldBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionThe 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to improve diversity and blur the line between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions, and you will be able to contribute to all of these.In this role, you will: • Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity, • Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator, • Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation, • Improve rendering and tooling for generating realistic data at scaleQualifications:, • 3+ years of experience with programming and algorithm design, • Fluency in Python and C++, • Experience building and extending radiance field ML models, • Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer, • Strong mathematical skills and understanding of probabilistic techniquesBonus Qualifications:, • Bachelor's, Master's or PhD in computer science, mathematics, physics, or related field, • Publications in your field (CVPR, ICCV, RSS, ICRA preferred), • Experience with generative models for 3D or video content, • Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender, • Experience in distributed systems and cloud computing platforms

Job DescriptionZoox is looking for a software engineer to work on our custom High-Performance Computing infrastructure and its supporting ecosystem of tools and services. This infrastructure is central to machine learning workflows across all Zoox software divisions, from data engineering to computer vision perception to simulation and more. You will take on a breadth of end-to-end responsibilities including distributed system design, algorithmic job scheduling, and adaptive cloud scaling in support of all of Zoox’s computational needs.In this role, you will: • Design and implement improvements to Zoox’s in-house, cutting-edge HPC infrastructure, • Design systems that optimize various storage technologies in the cloud and our own datacenter(s) for performance, reliability, and efficiency that power our diverse machine learning workloads, • Investigate new distributed system paradigms and technologies to meet Zoox’s ever growing computational and storage needs, • Create production-grade web service APIs, SDKs, and other tools to provide a world-class developer experience for all of Zoox’s software teamsQualifications:, • Experience with high-performance object storage and filesystems, • Experience with distributed systems, • Proficiency with Python, Java, or other managed languages, • Bachelor's degree in computer science (or related field), • Experience with cloud computing platforms such as AWS, GCP, or AzureBonus Qualification:, • Deep experience with AWS FSx for Lustre, open-source Lustre filesystem, or another ML-optimized filesystem, • Experience with workload management / job scheduling systems such as SLURM, • Knowledge of machine learning / artificial intelligence systemsBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Polestar Bellevue, a dealership part of the O’Brien Auto Group, is looking to add Brand Ambassadors. Polestar is a Swedish automotive brand established in 1996 by Volvo Cars partner Flash/Polestar Racing and acquired in 2015 Volvo Cars. Polestar is an all-encompassing redefinition of the Electric car performance which is leading the development of new technologies and embracing solutions for the future. As a Brand Ambassador, you will be responsible for learning the Polestar product and be proficient in completing all vehicle transactions from test drives, vehicle orders, documentation, credit approvals and finance funding. Our retail hours are currently: Monday - Saturday 10am-6pm, Sundays 11am-6pm *hours subject to change based on location retail hours. This position pays $21.10 hourly + Sales Incentives All employees subject to eligibility requirements, we offer the following benefits: • Paid holidays pursuant to the annual holiday calendar (typically five holidays), • Vacation – based on hire date and paid based on position, • Medical/Dental/Vision/RX, • Ancillary Benefits such as Short/Long Term Disability, Accident, Critical Illness, Life Insurance, Spousal/Child coverages, • 401(k) plus company match Responsibilities to Include: • Being prompt for work and appointments is essential., • Keep neat and clean appearance at all times (the first impression is very important)., • Perform other duties as assigned by management., • Regular attendance is essential., • Work in cooperative, positive and professional manner with all personnel in the company., • Treat members of the public and customers in a courteous and non-discriminatory manner. Maintain professional demeanor while at work., • Must conform to company policy regarding non-discrimination and harassment. Equipment/Machines/Tools Typically Used: phone, computer, adding machine, copier, calculator, stapler, fax machine, pencils/pens, letter opener, scissors, and rulers. Physical Demands: Required long periods (80-90% of work day) of standing and walking (on showroom floor, on dealership lot including interior and exterior of building). Capable of walking extensively on concrete. Infrequent sitting, stooping, kneeling, and crouching. Lifting 20 lbs or less and carrying 10 lbs or less on a frequent basis. Frequent pushing and pulling, twisting and turning of trunk, reaching and handling of objects, occasional climbing, balancing and crawling. This is not necessarily an exhaustive list of responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this list is intended to be an accurate reflection of the current job, the dealership reserves the right to revise the functions and duties of the job or to require that additional or different tasks be performed when circumstances change (i.e., emergencies, changes in personnel, work load, rush jobs, or technological developments). Qualified candidates must have a valid driver's license, clean driving record, and the ability to pass a background check. Polestar Bellevue is an equal opportunity employer and a drug-free workplace.

Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News As a Sr. Mechanical Engineer, Hybrid Powertrain at Carbon Robotics, you will play a key role in developing the mechanical systems that enable our diesel-electric platform. You will immediately bring your significant experience integrating powertrain systems into vehicles and developing supporting systems such as gearboxes, generators, cooling systems, fuel management systems, and drivetrain components to revolutionize agricultural traction systems. What you'll do: • Define and select core off the shelf and semi-custom components of the diesel electric powertrain including diesel engine, generator, ECUs, start/standby batteries, and more., • Design/integrate complete diesel electric drivetrain systems including motor housings, gearboxes, and axle assemblies for high-torque agricultural applications, • Architect thermal management solutions for motors, inverters, and battery systems operating in extreme agricultural environments, • Develop mounting structures and vibration isolation systems for diesel and electric motors ranging including traction drives to auxiliary pumps., • Design/integrate power transmission components including couplings, driveshafts, and reduction gearboxes for 100+ kW electric motors, • Analyze and optimize powertrain efficiency through gear ratio selection, bearing design, and lubrication systems, • Lead durability testing including shock/vibration, thermal cycling, and accelerated life testing of drivetrain components, • 8-15 years experience designing automotive or heavy equipment powertrains, preferably with electric or hybrid systems, • High proficiency in CAD (SolidWorks) and FEA (ANSYS) tools for structural, thermal, and vibration analysis, • Extensive experience with rotating machinery design including shaft dynamics, bearing selection, and gear design, • Solid background in thermal management including liquid cooling systems, heat exchangers, and thermal interface materials, • Experience designing and integrating cast, machined, and fabricated housings for high-precision rotating equipment, • Knowledge of automotive/agricultural durability requirements and validation testing procedures, • Familiarity with electric motor characteristics, efficiency maps, and integration requirements, • Experience with sealing systems for high-speed shafts and contamination prevention in agricultural environments, • Highly desired to have past experience as a Responsible Engineer or IPT lead., • Willingness to travel ~10% of the time to support products in the production & field environments with a demonstrated ability to work directly with internal and external stakeholders/customers Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News As a Robot Systems Software Engineer at Carbon Robotics you will work alongside your software, mechanical and electrical peers to build AI and robotics products. In particular, you will be involved in the design and implementations of robot side features and algorithms. You'll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products. What you'll do: • Partner with Engineering teams to build efficient robotic software to support our revolutionary Laser Weeding robots and future products., • Build and troubleshoot robot system software and develop tooling to support high performance robotics algorithms., • What you'll build will help deliver state of the art AI performance to our robots by improving our machine learning pipelines and building associated features., • Work with a fast pace nimble software team working on problems that have never been solved before, • Experience as a System Software Engineer building on machine and in the cloud software with 5+ (2+ for Mid level ) years of programming in C++ and Python., • Proficiency with modern Linux development environments (e.g. bash, git, docker, etc.), • Proficiency with web services (REST/GRPC), • Experience with robotic and computer vision algorithms is beneficial, • General knowledge of observability tools (ex: Prometheus ecosystem) is a plus, • Effective verbal and written communication skills and a desire to work in multidisciplinary teams Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work. Offers are dependent on someone experience and may be outside of the published range when appropriate. If your skills are above the posted range... Apply! We want to hear from you! Carbon Robotics' base salary pay range:$180,000—$200,000 USD Why would you join Carbon Robotics? Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News As a Software Engineering Manager, Backend at Carbon Robotics, you will work alongside your software, mechanical and electrical peers to build AI and robotics products. In particular, you will be guiding a team to design and implement services running in our cloud. You'll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products. What you'll do: • Manage and lead a team of engineers to build and scale cloud and on-prem infrastructure software to support our revolutionary Laser Weeding solution and future products., • Collaborate with other engineering teams and product managers across multiple disciplines., • Resolve conflicts within the team and across collaboration interfaces, • Oversee the software development lifecycle, including planning, design, implementation, testing, and deployment., • Manage resources and priorities so projects are successfully delivered on time., • Mentor, grow and provide technical guidance to engineers on the team., • Communicate deliverables effectively to the broader organization., • Experience managing and leading a software engineering team that has built and implemented services and distributed systems on machine and in the cloud., • Capable of operating as a Lead Software Engineer in your respective expertise., • Solid understanding of distributed systems, scalable cloud services and infrastructure tooling., • Excellent verbal and written communication skills and a desire to work in multidisciplinary organizations., • Lead by supporting an in office culture where collaboration drives innovation., • Field visits to Farms are a must. Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work. Offers are dependent on someone experience and may be outside of the published range when appropriate. If your skills are above the posted range... Apply! We want to hear from you! Carbon Robotics' base salary pay range:$195,000—$217,500 USD Why would you join Carbon Robotics? Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job Description Trellis is a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. We're reimagining how people shop for home and auto insurance, using smart technology to make something historically painful feel refreshingly easy. Every day, we help people save time, money, and unnecessary headaches. Behind the scenes, our fully remote team moves fast, owns their craft, and builds products that genuinely make life better. Led by a three-time fintech founder with a proven track record of going big, we're building something special, and we're just getting started. If you're hungry to make an impact and love solving complex problems with a scrappy crew, you'll love it here. About the Role Trellis is hiring a Senior Data Scientist to drive exploratory analysis and model development for data-scarce and emerging problems in our Real-Time Bidding (RTB) and pricing systems. You'll focus on understanding the limits and potential of smaller datasets – helping the team quickly assess which projects are viable, what data needs to be improved, and where machine learning can scale impact. You'll design and conduct exploratory studies, create transparent analytical reports, and build research-grade models that inform business decisions and evolve into production-ready systems. This role sits at the intersection of analytics, modeling, and product – collaborating closely with ML engineers, software engineers, and BI to turn ambiguous problems into scalable solutions. This is a fully remote position, based in the US or Canada, reporting directly to the Head of RTB, Thomas Boquet. We believe in paying competitively for great work. As a remote team, we set our salaries at the 75th percentile of national market data in our industry. You can count on your pay being in line with (or above) the market. For this role, the base salary range is $210,000-225,000. We review compensation twice a year to make sure we're staying competitive and rewarding our team's contributions. What You'll Do • Perform deep exploratory analysis to assess project feasibility and uncover data quality or coverage issues., • Build clear, reproducible Jupyter or Colab notebooks that communicate insights visually and narratively., • Partner with product and engineering to understand data generation processes and identify gaps., • Develop statistical and ML models (scikit-learn, statsmodels, TensorFlow, PyTorch) for pricing and bidding use cases., • Prototype predictive models that can be scaled by the ML engineering team into production systems., • Leverage Vertex AI or equivalent tools for experimentation, training, and deployment workflows., • Create visualizations using Python (Plotly, Matplotlib, or Seaborn) to communicate key findings effectively., • Contribute to a culture of analytical rigor, documentation, and rapid experimentation.What You'll Need, • 5+ years of experience as a data scientist or applied researcher, ideally in tech, fintech, or advertising., • Strong statistical foundation with hands-on experience using scikit-learn, statsmodels, TensorFlow, or PyTorch., • Proven ability to perform exploratory data analysis (EDA) and communicate findings clearly through notebooks and visualization., • Experience using Vertex AI, SageMaker, or other ML lifecycle platforms for experimentation and model deployment., • Fluency in SQL and Python data tooling (pandas, NumPy, Plotly, etc.). We're a team of builders, dreamers, and doers reshaping an industry that touches every household in America. At Trellis, you'll have real ownership, meaningful impact, and the chance to grow alongside a company that's scaling fast. Here's what makes Trellis an incredible place to build your career: * ✨ A flat, transparent culture where your voice actually matters * 🚀 Ground-floor opportunity with room to stretch and grow * 💰 Compensation at the 75th+ percentile * 🏡 100% remote... work from wherever you do your best thinking (In the US or Canada, that is) * 🎉 Quarterly team events that keep our fully remote culture connected and fun And yes, the perks are pretty great too: * 🌴 Flexible vacation (seriously, we want you to take it) * 🩺 100% employer-paid health insurance for employees (65% for dependents) * 💻 Home office budget to set up your perfect workspace • 🧘🏼️‍♂️ Wellness events throughout the year, because we believe in investing in the full human, not just the employee 💸 Automatic 401(k) contribution, FSAs, bonuses, and equity opportunities to invest in your future • 🐣 Paid parental leave 👉 If you're looking for a place where you can do the best work of your career, while building something that actually matters, we'd love to meet you.

Job DescriptionAbout Us Adora is a rapidly growing Seattle-based SaaS company developing an innovative platform in the trillion-dollar digital advertising industry. Our platform is set to transform the landscape through cutting-edge technology and AI-driven solutions. We're currently in stealth mode and look forward to sharing more about our mission and products during the interview. The Role As a Senior ML Engineer specializing in Advertising Intelligence, you will lead the development of our machine learning systems that extract insights from vast amounts of advertising data. You'll build models that identify patterns, predict outcomes, and generate recommendations that help our clients maximize their advertising ROI. This role sits at the intersection of machine learning engineering and advertising domain expertise, requiring both technical depth and business acumen. You'll work closely with our data engineering and product teams to translate business problems into ML solutions, rapidly prototype and test new approaches, and scale successful models to production. This is an opportunity to shape how AI and ML transform the advertising industry.Key Responsibilities • Design, develop, and deploy machine learning models that extract actionable insights from advertising performance data, • Build and optimize systems that leverage LLMs to generate natural language explanations of advertising trends and recommendations, • Create clustering and classification models to segment audiences, campaigns, and creative assets based on performance characteristics, • Develop predictive models for forecasting and optimizing ad performance, budget pacing, and ROI, • Collaborate with other engineers to design efficient data pipelines that feed our ML systems, • Work with product managers to translate customer needs into ML-powered featuresRequirements, • 5+ years of experience in applied machine learning, • Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn, • Proven experience building and deploying ML models in production environments, • Hands-on experience with various ML techniques including classification, regression, clustering, and time series analysis, • Solid understanding of statistical analysis and experimental design, • Familiarity with LLMs and their application in business intelligence use cases, • Experience with data visualization and BI tools to communicate ML insights, • Strong software engineering practices including version control, testing, and CI/CDExcellent communication skills to explain complex ML concepts to non-technical stakeholders, • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (advanced degree preferred)Preferred Qualifications, • Experience working with advertising data or in AdTech companies, • Knowledge of major advertising platforms (Meta, Google Ads, Amazon, TikTok) and their metrics, • Experience with recommendation systems and personalization algorithms, • Familiarity with marketing attribution models and customer journey analytics, • Hands-on experience fine-tuning and prompting LLMs for specific business domains, • Experience working with large datasets and distributed computing frameworks (e.g., Spark), • Experience with MLOps tools and practices for model monitoring and management, • Knowledge of privacy-preserving ML techniques and regulations related to digital advertising (GDPR, CCPA)What We Offer, • Competitive salary, stock, and benefits package, • Opportunity to shape the ML strategy of a growing startup from the ground up, • Work on challenging problems at the intersection of machine learning and digital advertising, • A collaborative, inclusive, and dynamic work environment in a high-growth start-up, • Work with a set of industry veterans that have 15+ years experience from early start-ups to the biggest tech companies, • Regular opportunities to learn and grow through tech talks, conferences, and continued education

Job DescriptionLucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and B2B commerce organizations. We believe that the core to a great digital experience starts with search and browse. Our Deep Learning technology captures user behavior and utilizes machine learning to connect people with the products, content, and information they need. Brands including American Airlines, Lenovo, Red Hat, and Cisco Systems rely on Lucidworks' suite of products to power commerce, customer service, and workplace applications that delight customers and empower employees. Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way. About the RoleAs a Search Engineer in Technical Support, you will play a critical role in helping our clients achieve success with our products. You will be responsible for assisting clients directly in resolving any technical issues they encounter, as well as answering questions about the product and feature functionality. You will work closely with internal teams such as Engineering and Customer Success to resolve a variety of issues, including product defects, performance issues, and feature requests. This role requires excellent problem-solving skills and attention to detail, strong communication abilities, and a deep understanding of search technology. Additionally, this role requires the ability to work independently and as part of a team, and being comfortable working with both technical and non-technical stakeholders. The successful candidate will demonstrate a passion for delivering an outstanding customer experience, balancing technical expertise with empathy for the customer’s needs. This role will provide primary support to our U.S. government customers. This is a remote role open to US strictly based candidates in Mountain or Pacific time zones. This role is expected to participate in weekend on-call rotations.Responsibilities • Field incoming questions, help users configure Lucidworks Fusion and its components, and help them to understand how to use the features of the product, • Troubleshoot complex search issues in and around Lucene/Solr, • Document solutions into knowledge base articles for use by our customer base in our knowledge center, • Identify opportunities to provide customers with additional value through follow-on products and/or services, • Communicate high-value use cases and customer feedback to our Product Development and Engineering teams, • Collaborate across teams internally to diagnose and resolve critical issues, • Participating in a 24/7/365 on-call rotation, which includes weekends and holidays shifts, • All other duties as assignedSkills & Qualifications, • US Citizenship required due to government contracts, • 2+ years of hands-on experience experience with Search technologies such as Apache Lucene/Solr., • 3+ years professional experience in a customer facing level 2-3 tech support role, • BS or higher in Engineering or Computer Science is preferred, • Experience with technical support CRM systems (Salesforce, Zendesk etc.), • Experience with cloud computing platforms (GCP, Azure, AWS, etc.) and Kubernetes, • Ability to clearly communicate with customers by email and phone, • Proficiency with Java and one or more common scripting languages (Python, Perl, Ruby, etc.), • Proficiency with Unix/Linux systems (command line navigation, file system permissions, system logs and administration, scripting, networking, etc.), • Exposure to other related open source projects (Mahout, Hadoop, Tika, etc.) and commercial search technologies, • Enterprise Search, eCommerce, and/or Business Intelligence experience, • Knowledge of data science and machine learning concepts, • Experience working in a startup or similarly fast-paced, high-growth environment preferred.Our Stack, • Apache Lucene/Solr, ZooKeeper, Spark, Pulsar, Kafka, Grafana, • Java, Python, Linux, Kubernetes We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Are you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry. Life At Cognitiv Our solutions provide advertisers with more time and freedom to concentrate on what matters to them most, both professionally and personally. We carry this philosophy into our workplace, offering our employees more chances to grow, collaborate, and achieve their goals. At Cognitiv, you will get MORE: - Festiv - Fun and positivity are integral to our work environment. From cross-departmental games to friendly competitions and unique events, we ensure a dynamic and enthusiastic culture. - Responsiv - Making a difference for our clients is at the heart of what we do. To make this one of our superpowers, we strive to create a culture of open communication and continuous learning. You will work closely with clients and key company stakeholders, sharpening your communication skills in a supportive environment where your input and ideas are valued and integral to our success. - Inclusiv - Diversity and inclusion are more than just words to us—they are principles we live by. We celebrate unique perspectives, ensuring everyone feels valued and respected. - Inventiv - As industry pioneers, we continuously reinvent and reimagine solutions. Sharing our knowledge and expertise to educate and lead the market is part of our DNA. If you love questioning the status quo, pushing boundaries, and challenging conventional thinking, you will fit right in. We admire intellectual curiosity and encourage it at every turn. - Transformativ - We invest in the continuous growth and development of our team members, celebrating their contributions and supporting their work-life balance and overall well-being. Our holistic training, onboarding programs, and professional growth and development initiatives ensure you have the resources to succeed. - Collaborativ - We transcend geographical boundaries, seamlessly operating across two coasts. Our culture thrives on cross-departmental collaboration and a unified sense of purpose, making teamwork a cornerstone of our success. Come join Cognitiv as a Senior Software Engineer and be a part of our fast-growing company on the cutting edge of artificial intelligence! We are looking for a talented, highly motivated software engineer with proficiency in machine learning technologies. This engineer will play a key role in the development of our ML Ops platform, specifically powering the in-house Identity systems. Together with Cognitiv’s team of engineers and scientists, you will help build the next generation of deep learning models that allow our campaigns to perform at scale. This position will be located in the Bellevue, WA office with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).Responsibilities • Lead technical design, architecture and development of critical projects, • Analyze new and existing system requirements and propose novel solutions, • Implement and optimize ML Ops platform related to Identity Resolution and Identity Graphs, leveraging both industry standard systems and proprietary in-house solutions, • Collaborate with other Engineering teams and cross-functional partners to build system functionality that supports high-performance ML-driven products, • Be a mentor for Junior Engineers through Code Reviews, Pair Programming, Design Reviews., • Develop automated testing and benchmarking routinesRequirements, • Bachelor degree or higher in Computer Science, Mathematics, Physics, Engineering or related field, • 5+ years development building back-end services in .NET Framework/Core, • 5+ years of experience designing and implementing RDBMS data models (Postgres, MSSQL, Oracle, etc.), • Ability to own services end-to-end in service life cycle (planning, design, delegation, testing, operations, etc.), • Familiar with ML platform and ML development lifecycle (big data preparation, model evaluation, etc.), • Strong written and oral communication skills; ability to effectively articulate technical challenges and solutions, • Experience with Identity, preferably Identity Resolution and Identity GraphsPreferred Qualifications, • Experience using enterprise cloud providers (AWS, GCP, Azure, etc.), • Experience with modern data warehousing technologies (Clickhouse, etc.), • Experience with infrastructure as code (Terraform, Ansible, etc.), • Experience with containerized application (Docker), • Experience with ML Ops technologies (Orchestration, Model Management, Feature Stores, etc)Salary, • $160,000-$210,000 Base Salary + EquityActual compensation is based on multiple factors that are unique to each candidate, including and not limited to job-related knowledge, level of relevant experience, education and skills. Base salary is just one component of your total rewards package at Cognitiv. Employees are eligible for equity and various benefits. Here are some of the many benefits that our employees receive: ● Medical, Dental and Vision coverage, including some plans that are 100% employer paid● 12 weeks paid parental leave● Career Ladders slated to advance your career● Unlimited PTO● Work-From-Anywhere August● Equity at all levels● Comprehensive onboarding program (Cognitiv University)● Hybrid work model● Daily Lunch On Us● Health and Wellness Stipend● Cell phone reimbursement● Parking Expense (CA & WA Offices)● 401(k) plan with employer match● Employee Assistance Program● Pre-tax commuter benefits and MORE! Cognitiv is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to ensuring equal employment opportunities for all employees and applicants, regardless of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by federal, state, or local laws.

Job Description Immigration / Work Authorization Notice: At this time, iSpot does not provide visa sponsorship or immigration support for this role. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great. About iSpot: At iSpot, we empower advertisers to measure the true impact of their TV and streaming campaigns—from concept through airing to conversion. Our fast, accurate, and actionable measurement and attribution solutions enable advertisers to evaluate creative effectiveness, optimize media plans, and attribute results across platforms, all while benchmarking against competitors and historical data. With real-time performance insights seamlessly integrated across linear and streaming TV, iSpot equips advertisers to make swift, confident decisions that drive impactful business results. About the Team: Our Client Data Science team is dedicated to delivering invaluable insights and reports to our clients. We thrive on innovation, employing cutting-edge techniques that empower our clients to advance their businesses. Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the media landscape, advanced data science techniques, and strong coding skills, all fueled by a passion for growth. About the Role: We are seeking a passionate Lead Data Analyst to join our dynamic Client Data Science team. In this role, you will design and develop custom reports tailored to our iSpot clients, providing them with the insights they need to succeed. We're looking for someone who shares our obsession with data accuracy and possesses an insatiable curiosity for learning and tackling challenging goals in a fast-paced environment. Join us in this collaborative environment, where your contributions will help drive innovation and push the boundaries of the media industry. We can't wait to see how you'll make an impact! Responsibilities: As a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including: • Collaborating on complex problems, both independently and as part of a team, while writing and optimizing R, Python, or SQL scripts for effective data processing., • Adapting existing tools and methods to meet evolving needs, balancing workloads across various projects, and leveraging solid machine learning and statistical skills to inform data-driven decisions., • Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports., • Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions, while documenting project status and updates in tools like JIRA., • 5% People Mentorship, • 30% Project Leadership, • 15% Strategy, Planning and Prioritization, • 5% Internal or Client Collaboration, • Experience: 7+ years of experience in Analytics, Data Science, or related field, • Education: Bachelor's degree in a quantitative or social science field, Master's/PhD preferred, • Coding Experience: 5+ years coding experience and 4+ years coding specifically in R, Python, or SQL;, • Coding Skill: Advanced coding skill in R, Python, or SQL;, • Leadership Experience: 4+ year of project leadership;, • Technical Knowledge: Advanced knowledge of Analytics, Statistics, and a BI software; iSpot's Client Data Science team expects all candidates to have a range of soft skills, including but not limited to: critical thinking, attention to detail, and effective communication. Additionally, the following soft skills are required for success in this role: Intellectual curiosity; Willingness to test new approaches; Mentor mentality; Knowledge sharing. Target cash compensation range: $124,000 - 158,000 USD Annually We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. For more information on total rewards package, go HERE Hybrid & Flexible Workplace Policy iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. Those local or living in surrounding areas to one of our offices (Bellevue, WA; El Segundo, CA; New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further. #LI-Remote If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway! iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team. California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

Job Description Immigration / Work Authorization Notice: At this time, iSpot does not provide visa sponsorship or immigration support for this role. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great. What You'll Be Part Of An iSpot Research Data Scientist (Early Career) is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape. Responsibilities • Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets., • Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems., • Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources., • Bachelor's degree in a quantitative field (e.g., mathematics, economics, statistics, computer science, physics, social sciences); A master's degree is preferred but not required., • Foundational understanding of statistics, data science, and/or machine learning concepts., • Familiarity with one or more data tools (e.g., Python, R, SQL, Spark, or similar) and willingness to learn new technologies., • Comfortable working with data: cleaning, exploring, and visualizing., • Curious, collaborative, and eager to learn from experienced professionals. We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. For more information on total rewards package, go HERE Hybrid & Flexible Workplace Policy iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. Those local or living in surrounding areas to one of our offices (Bellevue, WA; El Segundo, CA; New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further. #LI-Remote If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway! iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team. California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

Job Description Impinj is a leading RAIN RFID provider and Internet of Things pioneer. We're inventing ways to connect every thing to the Internet — including retail apparel, retail general merchandise, healthcare items, automobile parts, airline baggage, food and much more. With more than 100 billion items connected to date, and multiple Fortune 500 enterprises around the world using our platform, we solve for a better understanding of our world. If it's a thing, we're working to connect it. Join Impinj and help us realize our vision of a boundless IoT— connecting trillions of everyday items to the Internet. Team Overview: Impinj is seeking a Principal Machine Learning Engineer specializing in Applied Algorithms to join our Platform Engineering team. This role will work closely with an interdisciplinary team that researches and develops innovative RAIN RFID solutions at massive scale. In this position, you will work in collaboration with our Platform Software, Hardware, and Systems Engineering teams to design and develop experimental RAIN RFID algorithms and model our Platform Solutions, which are foundations of our enterprise engagements. The Platform Engineering team works closely with our Enterprise customers and outside partners to drive optimizations in tool-building development and deployment of RAIN RFID solutions. Our platform of tags, readers and gateways, and software is what allows us to give a digital identity to billions of everyday items. If you have a passion for using technology to spectacularly change the way companies run their business, this is the role for you. What you will do: • Leverage your Machine Learning and Algorithms development to research, develop and deploy RAIN solution algorithms to address our enterprise customer needs, • Pioneer new RAIN RFID applications that help customers solve real world problems across different use cases and industries, • Collaborate with multi-functional partners, such as our Software, Hardware and System Engineering teams and Go-to-Market team to design effective machine learning solutions, • Collaborate with outside partners and customers to develop and deploy novel RAIN RFID solutions based on the Impinj platform, • Create metrics and configure A/B testing to evaluate model performance offline and online to advise and convey our impacts to technical and non-technical collaborators, • Staying up-to-date with the latest machine learning research and techniques, and incorporating them into your work as appropriate, • Create proof of concept demonstrations for customers and partners to show potential uses of our RAIN RFID platform, • Leverage the insights derived from data coming from enterprise customer deployments to assess and improve system performance and build system behavior models, • Document the algorithm development process and communicate results effectively to team members and key stakeholders. This includes writing technical reports, creating visualizations, and presenting findings., • Redefine raw data into a high-quality, structured format, including data cleaning, correcting errors, handling missing values, integrating data from multiple sources, creating new engineered features, and scaling variables to enhance model performance and ensure accurate, reliable predictions., • Operate with a hybrid working environment with a few days of the week working from our Lab in North Beacon Hill and/or our office in South Lake Union with the rest of the time working from homeWhat you will bring:, • Bachelor's degree in Computer Science or related technical field, • At least 15 years of experience building end-to-end machine learning products, from data gathering, to model training and tuning, to deploying to production and monitoring its performance., • Algorithm design: implementation of machine learning algorithms and models, customization of traditional and state of the art models to fit specific problems, performance optimization through hyperparameter tuning, and evaluation of scalability, paying specialattention to efficient implementations, rigorous testing, and iterative refining models based on performance metrics and feedback., • Advanced Programming Skills: Proficiency in languages such as Python, R, C++, along with experience in machine learning libraries and frameworks like TensorFlow, PyTorch, and scikit-learn, • Advanced understanding of linear algebra, calculus, probability, and statistics aided to the development and analysis of machine learning models. This includes knowledge of matrix operations, differentiation and integration, probability distributions, and statistical inference, enabling the creation of robust algorithms and accurate predictions from complex data set., • Demonstrated experience in version control systems like Git for tracking changes and collaborating on code., • Good understanding of the software development lifecycle, structured project management, collaborative coding practices (such as code reviews and pair programming), and continuous enhancement of code quality., • Experience with algorithm optimization, parallel processing, and efficient data structures to ensure scalable, high-performance applications., • Experience in leading multi-functional projects and teams of SW, FW and Data Engineers and possibly external partners or customer teams. Strong communication skills to convey complex technical concepts to the teammates and to non-technical stakeholders and leadership abilities to guide and mentor teams. Compensation & Benefits: The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work. The typical base pay range for this role across the US is $168,000 - $267,000. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time. At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others. For a more comprehensive list of US employment benefits, click here. US Export Controls: This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here. Why work at Impinj: Know you're making a difference. Competitive benefits. Support for remote work or a desk with a view. Weekly Q&A sessions with our executive team. Impinj provides an environment that fosters openness and innovation and is developing technology that delivers a positive impact on the world. Collaboration and teamwork are highly valued, and accomplishments are duly celebrated. We have an open paid time-off policy paired with a respect for work/life balance. Our headquarters is located in Seattle with spectacular views of the Olympics, Lake Union, and Mt Baker, which can be enjoyed from our rooftop deck. Our Brazilian site is in Porto Alegre, Rio Grande do Sul state, at "Tecnopuc," a technology park that offers a very nice workplace for the development of groundbreaking technologies. Impinj is committed to creating a diverse and inclusive work environment and welcomes applicants from all backgrounds. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Description Impinj is a leading RAIN RFID provider and Internet of Things pioneer. We're inventing ways to connect every thing to the Internet — including retail apparel, retail general merchandise, healthcare items, automobile parts, airline baggage, food and much more. With more than 100 billion items connected to date, and multiple Fortune 500 enterprises around the world using our platform, we solve for a better understanding of our world. If it's a thing, we're working to connect it. Join Impinj and help us realize our vision of a boundless IoT— connecting trillions of everyday items to the Internet. Team Overview: We are seeking a Data Engineer with deep experience in managing and processing high-volume IoT data to enable the cloud-based training of machine learning models that power real-time inference on edge devices. In this role, you will architect and maintain cloud-based data infrastructure and pipelines that support ML workflows for training, validation, and deployment of machine learning models optimized for deployment in edge environments. This is a multi-functional role requiring close collaboration with ML engineers, systems engineers, cloud architects, and embedded systems teams to deliver high-quality, efficient, and scalable data solutions that power intelligent behavior on resource-constrained devices such as fixed and handheld RFID readers. What You Will Do: • Design data workflows to support model training, evaluation, and retraining cycles for deployment on edge devices, • Work closely with ML engineers to align data formats, labeling standards, feature extraction for edge-compatible models, and feedback loops for model improvement, • Architect and maintain scalable data pipelines to ingest, process, store, and access large volumes of structured and semi-structured RFID time-series data from edge networks, • Develop automated systems for data versioning, labeling, augmentation, and quality assurance, • Establish and maintain data APIs and interfaces to query, consume, and update datasets, • Manage large datasets using distributed storage and compute frameworks (e.g., Apache Spark, Hadoop, or Dask), • Ensure data security, compliance, and consistency across the full data lifecycle, • Drive improvements in data performance and reliability, especially for low-latency ML inference use cases, • Implement robust ETL/ELT workflows for preparing data for cloud-based ML model training and evaluation, • Collaborate and coordinate with large scale data collection projects, • Monitor and optimize data pipelines for performance, reliability, and cost across edge-to-cloud infrastructure, • Optimize data flow and compute for performance, cost, and latency in hybrid edge-cloud environmentsWhat You Will Bring:, • Bachelor's degree in Data Engineering, Electrical Engineering or a related field and 8 years of related experience, or equivalent combination of education and experience, • 8+ years of experience in data engineering working with Machine Learning pipelines, • Deep understanding of data pipeline design, ETL/ELT processes, automated workflow orchestration (e.g. Apache Airflow), • Strong programming skills in Python (especially for data workflows), with experience building scalable, maintainable pipelines. (e.g. Pandas, numpy), • Strong experience with structured and unstructured databases (SQL, MongoDB, DuckDB), • Strong understanding of cloud infrastructure (AWS, Azure, or GCP), especially cloud storage, compute, and ML tools (e.g., SageMaker, Vertex AI, Azure ML), • Experience with data lake/data warehouse technologies (e.g., S3 + Glue, BigQuery, Snowflake, Delta Lake), • Knowledge of machine learning model lifecycles, including training, validation, and deployment, • Understanding of data versioning, feature engineering, and ML lifecycle management, • Understanding of machine learning data needs, including labeling, versioning, and model-ready dataset preparation The typical base pay range for this role across the US is $129,000 - $200,000. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time. At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others. For a more comprehensive list of US employment benefits, click here. US Export Controls: This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here. Why work at Impinj: Know you're making a difference. Competitive benefits. Support for remote work or a desk with a view. Weekly Q&A sessions with our executive team. Impinj provides an environment that fosters openness and innovation and is developing technology that delivers a positive impact on the world. Collaboration and teamwork are highly valued, and accomplishments are duly celebrated. We have an open paid time-off policy paired with a respect for work/life balance. Our headquarters is located in Seattle with spectacular views of the Olympics, Lake Union, and Mt Baker, which can be enjoyed from our rooftop deck. Our Brazilian site is in Porto Alegre, Rio Grande do Sul state, at "Tecnopuc," a technology park that offers a very nice workplace for the development of groundbreaking technologies. Impinj is committed to creating a diverse and inclusive work environment and welcomes applicants from all backgrounds. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Buyer Growth team is responsible for driving Whatnot’s top-of-funnel growth and first-time buyer success. We're looking for a Machine Learning Engineer to accelerate buyer growth at Whatnot through intelligent, data-driven experiences. As the first ML engineer, you’ll build and own ML models personalization in onboarding and user targeting in our acquisition and engagement channels. This is a high-impact role on a team directly responsible for growing Whatnot’s buyer base and improving first-time user conversion. In this role, you will * Lead the design, development, and productionization of ML models that power user acquisition, activation, and retention (e.g., ranking models, targeting systems, uplift modeling). * Own the full model lifecycle: from data collection and feature engineering to model training, evaluation, deployment, and online experimentation. * Identify and prioritize high-impact opportunities where machine learning can unlock growth, collaborating with product, engineering, data, and marketing stakeholders. * Drive technical excellence and establish ML best practices across the Buyer Growth team. Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, Seattle, or New York hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. * 8+ years of industry experience building and deploying ML systems at scale. * Demonstrated success in leading end-to-end ML projects that drove measurable business outcomes. * Deep expertise in personalization, ranking, or user modeling; strong intuition around user behavior in consumer products. * Advanced proficiency in Python, SQL, and common ML frameworks (e.g., PyTorch, TensorFlow, XGBoost). * Strong communication and leadership skills; ability to influence roadmap and align cross-functional teams. * Preferred Qualifications: * Experience building ML applications in E-commerce or Social products * Prior experience in growth domains: user segmentation, retention modeling, large scale recommendation systems, notification ranking, etc. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $235K - $270K

Job DescriptionWho are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.Learn more at . About the Job As an ML Engineer at Field AI, you will help build the next-generation Field Foundation Model (FFM), powering a global fleet of autonomous robots deployed across diverse environments. Your contributions will directly shape how we scale – through advances in model architecture, training methodologies, and deployment strategies. You’ll collaborate closely with machine learning scientists, software engineers, and robotics experts to design and implement FFM capabilities that generalize across tasks and environments. Beyond model development, you’ll also support deployment and monitoring to ensure smooth integration and reliable real-world performance. This role offers the opportunity to work with cutting-edge technologies, solve complex challenges, and directly impact large-scale robot deployments.What You’ll Get To Do: • Design, train, and deploy state-of-the-art machine learning models for end-to-end learning based navigation stack., • Work with deep learning architectures such as transformers, convolutional networks to capture complex decision making., • Leverage imitation learning and reinforcement learning to advance planning and reasoning of our models., • Explore novel data generation and collection pipelines to enrich training datasets., • Assist with deploying machine learning models into production environments, • Continuously monitor models in production, detecting model drift, and automating retraining processes as applicable, • Troubleshoot issues related to model deployment, performance, and system integration.What You Have:, • Bachelor’s or Master’s degree in Computer Science, AI, Statistics, or related field., • Strong experience with Python and modern ML frameworks (PyTorch, TensorFlow, JAX)., • Deep understanding of contemporary deep learning architectures, optimization, and evaluation., • Proven experience deploying ML models into production (robotics, self-driving, or NLP preferred)., • Hands-on expertise in imitation learning and reinforcement learning., • Working knowledge of C++ for deployment and system integration.The Extras That Set You Apart: We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status.

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: With data such as a billion+ historical job postings, tens of millions of active job seekers interacting with our system, and hundreds of billions of impression and click events, there are incredible opportunities to use your skills to build new data-driven features. Working at ZipRecruiter, you will be helping literally millions of people find their dream job. We're working on problems like: given a training set of job postings, and known salaries, build a system that predicts salary for novel jobs.Of course, you know that while building models is fun, it's also just one step in the process; gathering training data, cleansing it, digging into it, extracting features from it, etc, is a huge part of the job Key Focuses: • Design, develop, and maintain advanced machine learning models and algorithms to solve complex business problems, • Lead complex machine learning projects that solve business challenges and add value to the broader ZipRecruiter Business, • Design the overall architecture and infrastructure for machine learning systems, ensuring scalability, efficiency, and robustness, • Push the boundaries of what's possible in machine learning in your organization, finding new and innovative ways to use AI to drive business value, • Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry best practices and innovation, • Stay up-to-date with the latest developments in machine learning and AI, and drive adoption of new techniques and technologies as appropriateMinimum Qualifications:, • 7+ year of professional software development experience with a deep focus in machine learning, • Comprehensive knowledge and experience of machine learning algorithms, techniques, and best practices, • 10+ year of professional software development experience with an expertise in machine learning, • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience, • Expert knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices, • Profound knowledge of machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn, • Extensive background of deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs), • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $180,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job DescriptionAt Parallel Domain, we believe that autonomous systems – from self-driving cars to contactless delivery drones – have the opportunity to drastically improve the quality of life for billions of people. That is why we love what we do: enabling our customers to develop their technology safely using the Parallel Domain simulated testing platform. Our software changes the way our customers test their systems, accelerating their ability to deploy safe and reliable AI. We're looking for people like you to join us in pushing the boundaries of artificial intelligence and simulation. We’re looking for a Senior Game Engine Programmer capable of thriving within a rapid development environment. We are a lean, focused team building a world-class platform for data generation for autonomy. The ideal candidate has at least 5-8 years experience in Games, Game Engine development and is willing to jump in and solve a variety of problems to move our technology forward. Lead the design, implementation, and optimization of our real-time graphics engine with a primary focus on performance, scalability, and system-level efficiency. In this role, you'll architect and maintain the core runtime systems that drive sensor simulation at scale—including LiDAR, Radar, depth, and RGB—ensuring deterministic, low-latency execution across heterogeneous workloads. In This Role, You Will Be Responsible For... • Build highly performant, multithreaded systems that scale across CPU and GPU., • Design memory-efficient data pipelines capable of supporting large-scale procedural environments and densely populated simulation scenes., • Work with our Senior Architect to implement core engine systems for real-time simulation, rendering, and sensor data output., • Work with the team to design profiling and debugging tools to monitor engine health, frame timing, memory usage, and system latency., • Optimize GPU compute workloads to ensure high throughput for both graphical rendering and sensor-specific data generation., • Develop tooling and metrics pipelines to continuously monitor and improve system bottlenecks., • Collaborate closely with simulation, graphics, and infrastructure teams to ensure platform performance meets the demands of parallelized, distributed workloads., • Your work will be central to enabling high-volume, high-fidelity synthetic data generation, powering cutting-edge autonomy and machine perception systems in production and research environments.Qualifications..., • 5–8+ years of experience in graphics or engine development, preferably within real-time or simulation-focused environments., • Deep proficiency in C++ and Game Engine Development., • Strong background in: Multithreaded engine architecture, Performance profiling (CPU/GPU, frame timing, load balancing), GPU compute and pipeline optimization, Shader development (e.g., HLSL, GLSL), Low-level memory management, • Familiarity with real-time 3D math, spatial data structures, and camera/sensor modeling., • Experience driving technical projects from architecture through to deployment, with strong collaboration across cross-functional teams., • Shipped a AAA photorealistic game, with involvement in performance-critical systems., • Worked with Unreal Engine 4.x or newer, or another modern high-performance game engine., • Hands-on experience working directly with the core engine codebase, not just using the editor or scripting layer. e.g., modifying rendering systems, memory allocators, or runtime infrastructure.Bonus Points..., • Experience with simulation systems for autonomous vehicles, robotics, or related domains, • Familiarity with sensor simulation technologies such as LiDAR, Radar, depth, and realistic simulation of a broad range of cameras with varying levels of quality and their image signal processing capabilities., • Prior work on deterministic simulation, fixed update loops, or real-time physics systems., • Experience scaling and optimizing engines for cloud or distributed compute environments, • Knowledge of large-scale procedural content generation and streaming world systems, • Exposure to AI/ML-based content and rendering methods such as NeRFs and Gaussian Splatting, • Experience collaborating with technical artists, 3D artists, and product designers, • Led roadmap planning, authored technical design documentation, and defined engineering milestonesWhat Success Looks Like, • You’ve profiled and begun optimizing key engine subsystems for performance and efficiency

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a Decision Scientist II, you will collaborate closely with product management, engineering, design, and marketing teams to drive the development, prioritization, and planning of the product roadmap. You will transform insights into decisive actions and product enhancements, providing business teams with actionable insights and investigating issues to empower leadership decisions. Embedded within a dynamic environment, you will design, execute, and analyze experiments to solve complex business problems directly related to growth and success. Close collaboration with stakeholders will be key to your success, as you address challenges and contribute to the continuous improvement of the user experience. We currently have multiple Decision Scientist II roles open across different teams. Please note, we will start with a more general interview process and will then match you accordingly based on interest and experience. Key Focuses: • Define KPIs and create reports and dashboards against large data sets to track performance., • Use data to identify opportunities for improving user acquisition and optimizing return on investment., • Turn ambiguous questions into clear analytical problems and solve them using data., • Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth., • Design, execute, and analyze experiments that drive product growth and improvement., • Bachelor's degree in a quantitative field such as Mathematics, Computer Science, Operations Research, Economics, or equivalent experience., • 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product., • Proficient with A/B testing, experimental design, and utilizing statistical modeling and causal inference to inform business decisions., • Proficient in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL., • Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Operations Research, or Economics., • Extensive knowledge and practical experience in statistical methods such as causal inference, experimental design, and Bayesian inference., • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $130,000 - $155,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job DescriptionDescription: About Brook Inc Brook Health is a digital health company. Brook offers a set of products and services extending health-care-management beyond the walls of doctors’ offices and into people’s homes and their day-to-day lives. Brook provides people who are living with chronic conditions a highly personalized high-touch support via a smartphone app offering AI tools, data collection through connected devices, and real-time access to health coaches to make smart, daily decisions and to build healthy habits to achieve their long-term health goals. Brook also offers a CDC-approved preventative program for people who are at high risk for diabetes. For primary care providers, Brook offers SaaS tools for continuous remote monitoring, providing insights into their patient’s health needs, enabling a new model of care, and early preventative interventions with our own care delivery team resulting in better health outcomes. At Brook.ai, we're tackling complex data and engineering challenges to build a platform that empowers people to live healthier lives. We're leveraging cutting-edge technologies like AI/ML, real-time data processing, and scalable cloud infrastructure to create a personalized health support system. Our platform integrates data from connected devices, AI-driven insights, and human coaching to drive meaningful behavior change. We're a fast-paced, user-focused team that thrives on solving hard problems. We value innovation, continuous improvement, and a data-driven approach. Our goal is to change the approach to pre-condition and chronic condition care management, to use technology to support health-care providers in improving patients’ health outcomes. If you're passionate about building scalable, high-performance systems and making a real-world impact, Brook.ai is the place for you. Job Overview: As a Senior Software Engineer at Brook.ai, you'll be instrumental in building and scaling the high-performance, distributed platform that powers our innovative health solutions. You'll work with a talented team of engineers and data scientists to design, develop, and deploy robust server-side applications using Java and Python, leveraging a modern microservices architecture. A core part of your role will be integrating AI/ML solutions to enhance our platform's capabilities, directly impacting the lives of our users. You'll contribute to a product that helps people make positive changes, leading to healthier and happier lives. Requirements: Key Responsibilities: • Design, develop, and deploy robust server-side applications using Java and Python, microservices architecture, and DevOps practices., • Integrate AI and machine learning solutions to streamline healthcare processes and enhance productivity., • Work with diverse data stores including MongoDB and PostgreSQL, optimizing database performance for scalability and efficiency., • Implement and maintain CI/CD pipelines for automated testing and deployment using Kubernetes., • Collaborate with engineers, data analysts, and product managers to translate business needs into technical solutions., • Write clean, efficient, and maintainable code, ensuring high quality and adherence to best practices., • Champion continuous improvement by researching and implementing innovative technologies and methodologies., • Participate in code reviews, providing insightful feedback to elevate the team's overall skillset., • Bachelor's degree in Computer Science or a related field., • 7+ years of experience in server-side development, with a strong foundation in either Java or Python (experience in both is a plus)., • Proven ability to design, develop, and deploy high-performance and scalable applications., • Experience with cloud technologies like AWS and containerization platforms (Docker/Kubernetes)., • Strong understanding of microservices architecture and DevOps principles, including CI/CD., • Experience with database technologies like MongoDB and PostgreSQL., • Solid knowledge of AI and machine learning concepts. Experience deploying machine learning models in production environments is highly desirable., • Excellent communication, collaboration, and problem-solving skills., • Exceptional communication and collaboration skills, with the ability to lead cross-functional teams and convey complex technical concepts to non-technical stakeholders, • Advanced problem-solving and critical-thinking abilities, with a track record of driving innovative solution, • Detail-oriented with a strong commitment to data quality, accuracy, and industry best practices This role is not eligible for visa sponsorship or relocation. The candidate must live within a commuting distance from the office location. This is a hybrid role, onsite in the office required weekly along with remote work. Brook Inc is an equal opportunity employer. We are committed to building an inclusive and diverse workforce. Brook does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, marital status, age, non-disqualifying physical or mental disability, national origin or ethnic origin, military service status, citizenship or any other protected characteristic covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionOVERVIEW Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance. Project DetailsJob Title: Data AnalystLocation: Seattle (On-site)Hours: Full-time, 40 hours per weekStart Date: October 2025Employment Type: W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time). This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.Key Responsibilities • Test new AI products and provide actionable feedback to improve functionality and user experience., • Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines., • Collaborate in updating and refining machine learning models to boost accuracy and effectiveness., • Analyze data for consistency, relevancy, and alignment with project goals., • Perform quality control to identify and report anomalies, error patterns, and discrepancies., • Use basic data analysis methods to extract insights and support continuous improvement., • Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.Preferred Qualifications, • University degree in linguistics, translation, or a related field., • 3-5 years of professional linguistics experience., • Strong analytical skills with the ability to detect patterns and anomalies., • Excellent communication skills and the ability to work collaboratively in a fast-paced environment., • Adaptability to evolving priorities and project requirements.Benefits, • Paid Sick Time, • Employee Assistance Program, • Following eligibility requirements: Medical Insurance, • Dental Insurance, • Vision Insurance, • HSA, • Voluntary Life Insurance, • Accident, Critical Illness, Hospital Indemnity Insurance As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.