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Job Description We're quickly growing and super excited for you to join us! About Topsort At Topsort, we believe in the mission of democratizing the secret technologies of the walled gardens and creating a privacy-first cookie-free world of clean advertising with modern tech, friendly products, and AI. We believe in making advertising intuitive, intelligent, and genuinely cool, without any of the creepy ads or cookie-obsession (well, maybe just the chocolate ones). In a rapidly changing industry, we're on a mission to democratize monetization access for all and ensure that advertising doesn't leave any brand or seller feeling confused or overwhelmed Today, Topsort has 6 major hubs worldwide, and employees in 13+ countries, including Menlo Park, Boston, Santiago Chile, São Paulo Brazil, Barcelona Spain, and Sydney Australia. We are a truly global company that was born in the pandemic that's had rapid growth since out of a genius product, a customer-first mentality, and a hardworking team of talented individuals. Since our founding in 2021, we've gained customers in retail, marketplaces, and delivery apps in 40+ countries and quickly approaching the #1 position in the industry. Do you enjoy a fast-paced environment? Do you like seeing your work create real-time impact, being part of a rocket ship from the very beginning? Let's do the unimaginable - let's make ads clean and cool again, with AI and modern technology. Why Topsort? Why now? Topsort is changing the way Retail Media works. By joining our scaling team, you'll feel your impact from day 1. The processes and messaging you build today will be a critical part of our foundation as we accelerate toward 200 Topsorters worldwide, and your innovations will leave a lasting mark on the industry, as a whole. Retail Media is on the verge of a new era, and Topsort is gathering the ecosystem together to shape a brighter future. Joining us now, you'll work directly alongside our co-founders and founding members to bring on Retail Media 3.0. If you're looking to define your career as something greater than yourself, come scale with us. What it's like to work at Topsort Our team is all about straightforward communication, embracing feedback without taking it personally, and fostering a super collaborative environment. It's a sports team that's hyper focused on winning, collaborative internally, and competitive externally - never the other way around. We thrive on working in the open, lifting each other up, and getting things done with a sense of urgency. We're the kind of team that loves making bold choices, sharing extraordinary opinions, and maintaining a 100 mph pace. No endless meetings here – if it can be done today, we're all about getting it done today. What is this role like? We are looking for a highly analytical Product Analyst with a builder's mindset to join our team. In this role, you won't just report numbers; you will be the bridge between complex data possibilities and real product value. You'll thrive here if you have a strong mathematical foundation, sharp product instincts, and the technical toolkit to deep-dive into datasets to uncover the "why" behind performance. We value intellectual curiosity and the ability to solve puzzles in a fast-paced environment. In this role, you will: * Drive Data Discovery: Use SQL and Python to navigate large datasets, identifying patterns and opportunities that drive product growth. * Master the Metrics: Interpret and refine KPIs with a clear understanding of statistical significance and expected targets. * Technical Advocacy: Act as a trusted advisor to both internal teams and external clients, translating complex technical insights into actionable product strategies. * Shape the Product: Work closely with Engineering and Product teams to ensure our data-driven culture is reflected in every feature we launch. * Visualization & Storytelling: Transform complex requirements into intuitive dashboards and visualizations that simplify decision-making. What (we think) you need to be successful We are looking for outlier candidates who are passionate about data and problem-solving. Whether you are an experienced professional or a high-potential talent from a rigorous academic background, we want to hear from you. * Analytical Rigor: A strong background in a quantitative field (such as Engineering, Math, Physics, Economics, or Computer Science) is highly valued. * Technical Toolkit: Proficiency in SQL is essential. Experience with Python for data analysis and statistical modeling is a significant plus. * Problem-Solving Instincts: Ability to think from first principles and handle ambiguity with a structured, logical approach. * Communication & Stakeholder Management: Exceptional ability to communicate technical concepts to both technical and non-technical audiences in Advanced/Fluent English. * Data Visualization: Familiarity with BI tools (Metabase is a plus) and a knack for creating clear, impactful reports. * Client-Facing Mindset: Comfort in dealing with external stakeholders and a proactive attitude toward solving their challenges. What We Value At Topsort, we seek professionals who embody the following qualities to drive our mission forward: • Deep dive into details: Professionals who are not content with superficial answers and dive deeply into the details to uncover root causes and optimal solutions., • Team first: A low need for individual recognition, always prioritizing collective results over personal credit., • You thrive with ambiguity: Exceptional ability to tackle open-ended problems in unstructured environments, turning chaos into structured innovation., • Adaptability: Willingness to learn, mentor, lead, and follow as the situation demands, fostering growth at all levels., • Urgency: A disproportionate sense of urgency in execution, while keeping scalability and the creation of replicable processes in mind to ensure long-term success.

Job Description About Stackpoint Stackpoint is a venture studio that conceives, builds, launches, and scales AI-native companies in high-barrier verticals like real estate, construction, hospitality and financial services. Led by co-founders who have both built unicorn real estate tech companies from scratch, we're a tight team of engineers, product managers, designers, and operators with decades of experience building products, teams, and businesses from startup to scale. We focus all of our energy on discovering and solving customer and business problems, designing financially strong and defensible business models, activating growth engines, hiring world-class founding teams, and helping them thrive (and none of our energy on big-company b.s.). Our dedicated capital, experienced team, proven process, and deep strategic network supercharge founders and accelerate growth. We're based in Boston but have a distributed team, work remotely and come together every quarter for in-person team building. We're building a pooled, Studio-wide engineering team — and we're looking for principal-level engineers who want to build across an entire portfolio of companies, not just one. The Role Context - How the Studio operates: We launch one new company per quarter. For each, we embed a pod — a dedicated PM, Designer, and (in the model we're moving toward) one or more Studio Engineers — for ~6 months alongside a founding CEO we recruit and back. The first three months focus on discovery: identifying the wedge product, assessing technical feasibility, and accumulating design partners. The second three months shift to building the wedge while hiring the company's founding technical team (Head of Engineering, sometimes 1-2 IC engineers or contractors) in parallel. Because launches are staggered quarterly, at any given time the Studio is hands-on in ~2 companies at different stages. Shared resources across Marketing, Sales, Finance, Ops, and Recruiting flex across companies during the first 6-12 months based on what's needed to hit key milestones. As a Principal Engineer, you are the person who builds. You'll typically embed with a single portfolio company for several months at a time — architecting, coding, and shipping backend systems and responsive frontends from prototype through MVP launch. As that company graduates to its own engineering team, you'll roll onto the next build, bringing compounding experience across domains and tech stacks. You'll partner directly with PMs, designers, and founding CEOs to turn discovery insights into functional software. This is a hands-on, full-stack IC role. You'll report to the Studio's Head of Engineering and you'll be expected to own entire product surfaces end-to-end: cloud infrastructure, APIs, data pipelines, UIs, and deployment — often on the same product. Technology choices are problem-driven, not preference-driven, and you articulate tradeoffs clearly. AI-native development is core to how you work. You use tools like Cursor and Claude Code daily, you've integrated LLMs into production systems, and you have hands-on experience with prompt engineering, structured outputs, and cost/performance tradeoffs. You follow the AI landscape actively and make pragmatic adoption decisions. What You'll Do Full-Stack Product Development Architect, build, and ship backend systems and responsive frontends for new products across our portfolio, from prototype through MVP launch. Infrastructure and DevOps Stand up cloud environments, CI/CD pipelines, monitoring, logging, and security foundations for each new product. Make pragmatic infrastructure decisions that balance speed with scalability. AI-Native Development Leverage AI coding assistants (Cursor, Copilot, Claude, etc.) as core workflow tools. Integrate LLM capabilities into customer-facing products where they create real value — prompt engineering, API integration, cost/performance tradeoff evaluation. Deep Engagement, Then Rotation Embed with a portfolio company for the duration of its Studio-led build (typically ~6 months). Own the technical execution alongside the pod. When the company transitions to its own team, roll onto the next build with fresh context and compounding experience. Product Collaboration Partner with PMs, designers, and founding CEOs to translate discovery insights into functional software. Contribute to feasibility assessments and help teams understand what's buildable, what's risky, and what's worth a "build to learn" bet. Technical Transition Support Help portfolio companies hire their own engineering teams (Head of Engineering, senior ICs) and execute clean handoffs of Studio-built systems within ~6 months of launch. Studio Tooling and R&D Contribute to internal tools and reusable frameworks that create compounding leverage across the Studio's company builds. What We're Looking For Experience and Background • 5+ years of software engineering experience with meaningful exposure to modern product/engineering cultures and varied company stages, • Multiple 0→1 builds — not just features at established companies, but products built from nothing to launch in startup or early-stage environments, • Comfortable with ambiguity, rapid iteration, and the chaos of pre-product-market-fit development, • Full-stack proficiency: strong in both frontend (React, Vue, Angular) and backend (Python, Node.js, Ruby on Rails, Go, or Java). Comfortable owning the entire stack, • Cloud infrastructure: hands-on with AWS, GCP, or Azure — can configure environments, deploy services, and make sound platform decisions without a dedicated DevOps team. Willing to use infrastructure-as-code (CDK, Terraform), • Database design: proficient with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, etc.). Can make informed decisions about data modeling and platform selection for new products, • DevOps and CI/CD: experience with Docker, CI/CD tools (GitHub Actions, CircleCI, GitLab), and basic orchestration. Comfortable setting up the full delivery pipeline from scratch, • Context-switching is a feature, not a bug. You find variety energizing and ramp fast into new domains, codebases, and team contexts, • Speed and pragmatism define your output. You understand the difference between "build to learn" and "build to scale" and make that call explicitly, • You're a strong cross-functional collaborator who genuinely enjoys working with PMs, designers, and non-technical founders. You translate technical constraints into business language and vice versa, • You're user-led in your thinking but bold enough to advocate for technical bets when you see an opportunity, • You're driven by craft and impact, not title or territory. You care about quality but aren't precious — you'll throw away a prototype without flinching if the team learns something important, • You're low-ego, generous with knowledge, and someone other engineers want to work withWhy This Role Is Different, • Breadth over depth: You'll touch more industries, domains, and technical challenges in a year than most engineers see in five. Real estate, insurance, construction, finance — each portfolio company is a new problem space., • Build, not maintain: Every engagement is a greenfield build. You're always working on the hardest, most interesting phase of a product's life — the 0→1., • A real team, not a solo act: You'll work alongside a small, high-caliber engineering team — plus PMs, designers, and operators — who are collaborative, low-ego, and deeply experienced at building from scratch. This isn't a lone-wolf contractor gig; it's a tight team that learns and compounds together., • Leverage over repetition: Your Studio tooling and R&D contributions don't just serve one product — they accelerate every future company Stackpoint creates., • Direct impact: You'll work directly with founders, the full Stackpoint Studio team, and portfolio company customers. No layers. No politics. Just building.Logistics, • Compensation: Competitive base, comprehensive health benefits + equity participation in every company we launch during your time here., • Location: Flexible within U.S. — we operate remotely., • Reports to: Studio Head of Engineering.

Job DescriptionData Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ 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 DescriptionRole Summary Our client, a manufacturing organization, is seeking a Controls Engineer to support the design, development, and maintenance of manufacturing automation and control systems. This role focuses on PLC programming, HMI development, and industrial network support across manufacturing operations. The position works closely with plant teams and corporate engineering to improve system performance, troubleshoot issues, and support new equipment and system implementations. This is a self-directed role with remote leadership support, requiring strong initiative and the ability to operate independently within a plant environment. Key Responsibilities * Develop, integrate, and maintain PLC-based control systems, HMIs, and industrial automation solutions. * Support manufacturing systems including MES platforms (e.g., Ignition). * Program and troubleshoot Allen-Bradley / Rockwell automation systems (RSLogix, Studio 5000, FactoryTalk). * Assist with system start-ups, commissioning, and troubleshooting across multiple facilities. * Collaborate with plant technicians and operations teams to resolve electrical and automation issues. * Support industrial communication networks (WAN/LAN) and connectivity between systems. * Contribute to system improvements to enhance manufacturing efficiency and output. * Create documentation and training materials for maintenance and operations teams. * Support integration of sensors, drives, and instrumentation (e.g., flow meters, temperature probes, VFDs). * Participate in project work, including system upgrades and new installations. Required Qualifications * Experience with Allen-Bradley / Rockwell PLC and HMI systems. * Strong understanding of industrial automation and electrical systems. * Experience with manufacturing systems and plant-floor support. * Understanding of industrial networking (WAN/LAN). * Ability to troubleshoot and resolve technical issues in a manufacturing environment. * Strong communication skills and ability to work with both technical and non-technical teams. * Ability to work independently with minimal on-site supervision. * Willingness and ability to travel up to 25%. * Valid driver’s license. Preferred Qualifications * Experience in food or pharmaceutical manufacturing environments. * Familiarity with MES systems (e.g., Ignition). * Experience with: * Rockwell FactoryTalk, RSView * Wonderware (InTouch, System Platform, Historian) * Variable Frequency Drives (VFDs) * Exposure to SQL databases, AutoCAD, virtualization tools (VMWare). * Programming experience (e.g., Python, C++, Java, or similar). * Familiarity with industrial sensors and instrumentation. * Experience with Cisco networking hardware. Work Model * Bonus: Approximately 13% target bonus * Work Model: On-site with travel up to 25% * Training: Initial training period may be required at another U.S. facility Candidate Profile * Early to mid-career engineer with stable experience in manufacturing environments. * Comfortable working in a hands-on, plant-facing role. * Self-motivated and capable of working with remote leadership support. * Strong troubleshooting mindset with a practical, solutions-oriented approach.

Job Description A growing Test Instrument and Standards, Manufacturing and Service Company, is seeking a highly skilled and versatile Embedded C Engineer / IT Systems & Software Specialist to develop embedded firmware solutions, support internal IT infrastructure, and maintain our internal service order management platform written in TypeScript. This role bridges low-level hardware programming, enterprise IT support, and internal business software maintenance — ideal for a technically curious problem-solver who enjoys working across the stack. Key Responsibilities Embedded Systems Development • Design, develop, test, and maintain firmware using Embedded C, • Develop low-level drivers and hardware interface code (SPI, I2C, UART, CAN, ADC/DAC, etc.), • Debug at the hardware-software boundary using tools such as oscilloscopes, logic analyzers, and JTAG, • Optimize performance, memory usage, and power consumption, • Support product validation, production testing, and technical documentation, • Maintain version control and follow structured coding standards Internal Software & Service Order Platform • Maintain and enhance the company’s internal service order management system written in TypeScript, • Debug, refactor, and extend backend and/or frontend functionality, • Improve reliability, data integrity, and performance, • Collaborate with internal stakeholders to implement workflow improvements, • Manage deployments, version control (Git), and testing, • Document system architecture and updates IT Systems & Infrastructure • Maintain company IT systems, networks, and user workstations, • Install, configure, and troubleshoot hardware, software, and operating systems, • Manage servers, backups, system updates, and cybersecurity practices, • Support LAN/WAN networking (routers, switches, firewalls), • Provide internal technical support and system documentation Required Qualifications • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience, • Strong proficiency in Embedded C programming, • Experience with microcontrollers and real-time systems, • Solid debugging and hardware troubleshooting skills, • Working knowledge of TypeScript and modern JavaScript frameworks, • Experience with Git version control, • Familiarity with Windows and/or Linux system administration, • Understanding of networking fundamentals (TCP/IP, DNS, DHCP) Preferred Qualifications • Experience with RTOS, • Experience with Node.js or modern frontend frameworks (React, Angular, etc.), • Experience with databases (SQL or NoSQL), • Scripting experience (Python, Bash, PowerShell), • Familiarity with cloud platforms (AWS/Azure), • Understanding of cybersecurity best practices Key Skills • Embedded firmware development, • Full-stack troubleshooting, • Internal systems optimization, • Network and infrastructure support, • Cross-functional collaboration, • Structured documentation and process improvement Work Environment • Combination of engineering lab, software development, and IT support, • Cross-functional collaboration with engineering, operations, and service teams, • Hands-on troubleshooting across hardware and software systemsCompany DescriptionSince 1976, it has been IET Lab's mission is to manufacturer very high-quality instruments at competitive prices while providing a level of hospitality not often found in the industry. By combining the many hundreds of man-years of engineering experience of GenRad, esi and IET, we have become the world's preeminent manufacturer of impedance instruments, offering from the most cost-effective to the most stable electrical standards. IET Labs is small enough to offer the individual exceptional service each of our customers deserves, while large enough to offer the worlds most complete impedance solutions with over 1300 different products. While many in the industry outsource not only manufacturing but engineering, IET is proud to claim that we manufacturer 98% of our products in the United States and almost all of our major components are manufactured in the United States.Since 1976, it has been IET Lab's mission is to manufacturer very high-quality instruments at competitive prices while providing a level of hospitality not often found in the industry. \r\n\r\nBy combining the many hundreds of man-years of engineering experience of GenRad, esi and IET, we have become the world's preeminent manufacturer of impedance instruments, offering from the most cost-effective to the most stable electrical standards.\r\n\r\nIET Labs is small enough to offer the individual exceptional service each of our customers deserves, while large enough to offer the worlds most complete impedance solutions with over 1300 different products. \r\n\r\nWhile many in the industry outsource not only manufacturing but engineering, IET is proud to claim that we manufacturer 98% of our products in the United States and almost all of our major components are manufactured in the United States.

Job DescriptionWe are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system. The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall Perception stack as well as end-to-end system behavior.In this role, You will... • Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior, • Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance., • Analyze large scale metric results to identify patterns and insights about perception failure modes. Present results and insights to leadership., • Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.Qualifications, • Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field, • Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code, • Basic experience with autonomous driving, safety-critical systems, or computer vision systems., • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business., • Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.Bonus Qualifications, • Skilled at using AI tools to improve development efficiency and quality., • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)

Job DescriptionWe are seeking an experienced and highly skilled data scientist to join the Perception Data and Labeling team.. The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox. The candidate will work alongside data ops partners, ML engineers, software developers, and data engineers to improve model performance through high quality human- and auto-labeled data. In this role, you will: • Define and implement scalable data quality measures across complex, multimodal data labeling pipelines, • Drive data-centric ML model improvements to achieve critical Zoox milestones, • Support an org-wide data ontology and class structure for perception models, • Determine trade-offs and integrations between human-labeled, human-in-the-loop, and zero-shot autolabeled data, • Build metrics to quantify labeling throughput, capacity, and annotator/vendor qualityQualifications:, • Master's or PhD degree in a field relevant to autonomous driving (computer science, robotics) to the analysis of human data (computational neuroscience, cognitive science) or a related field, • Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code, • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business., • Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact., • Experience with data-centric ML development and data curationBonus Qualifications:, • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)

Job Description About Care Access Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly to communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow. With programs like Future of Medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all. To learn more about Care Access, visit . How This Role Makes a Difference We are seeking an experienced and detail-oriented professional to join our team as a Senior Data Engineer. In this pivotal role, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices, along with strong collaboration skills to help drive excellence across our data infrastructure. How You'll Make An Impact • Data Engineering Strategy and Architecture:, • Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs., • Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows., • Build automated systems for data ingestion, transformation, and orchestration leveraging cloud-native and open-source tools., • Data Infrastructure and Performance Optimization:, • Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks)., • Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness., • Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance., • Collaboration and Stakeholder Engagement:, • Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions., • Review and refine work completed by other team members, ensuring quality and performance standards are met., • Provide technical mentorship to junior team members and collaborate with contractors and third-party vendors to extend engineering capacity, • Technology and Tools:, • Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions., • Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms., • Evaluate and implement new technologies to enhance the scalability, observability, and automation of data operations., • Other Responsibilities:, • Continuous Improvement: Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance. The Expertise Required, • Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure., • Experience working with structured and semi-structured data from diverse domains., • Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices., • Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions. Certifications/Licenses, Education, and Experience:, • Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field., • 5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines. How We Work Together, • Location: This role requires 100% of work to be performed in a remote office environment and requires the ability to use keyboards and other computer equipment., • Paid Time Off (PTO) and Company Paid Holidays, • 100% Employer paid medical, dental, and vision insurance plan options, • Health Savings Account and Flexible Spending Accounts, • Bi-weekly HSA employer contribution, • Company paid Short-Term Disability and Long-Term Disability We work with and serve people from diverse cultures and communities around the world. We are stronger and better when we build a team representing the communities we support. We maintain an inclusive culture where people from a broad range of backgrounds feel valued and respected as they contribute to our mission. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to, and will not be discriminated against on the basis of, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Care Access is unable to sponsor work visas at this time. If you need an accommodation to apply for a role with Care Access, please reach out to:

Job DescriptionSalary: $17 hourly Program Dates: June 1 - August 7, 2026 Compensation: $17 per hour Role: Hybrid - Quincy, MA As a boutique fintech company, we provide our employees unique opportunities to gain extensive exposure to various problems and be challenged to find solutions to impact our business. As an Intern you will spend 10 weeks gaining firsthand experience working as a contributing member of the RapidRatings team. Through our Programs Core Curriculum, you can look forward to your summer with guidance every step of the way, exposing you to all facets of the Company and the industry we operate in. At the end of the summer, our goal for all interns is that they leave the program with enough hands-on experience to help them to make guided and educated decisions about the next steps they take on their career paths. Altogether, interns will walk away from RapidRatings with knowledge of more than just the area they worked in over the summer. About the Opportunity: Join our organization as an Operations & Enablement Intern. The Operations & Enablement intern will review, process and maintain company and financial data for a broad range of companies globally to generate value-added reports for our corporate clients to utilize when making informed business decisions. Through exposure to thousands of companies around the globe, you will gain expertise in understanding and assessing financial statements with the Rapid Ratings Financial Health System. You will be required to assist with inquiries from clients to clarify potential data ambiguities or inconsistencies. Furthermore, you will assist the team with strategic and expansion reporting projects, analytical tasks such as industry research analysis and overall large-scale data quality control. Responsibilities Include: • Data Management. We actively rate thousands of companies for our clients on an ongoing basis. These analyses depend on data that we source from third-party vendors, our clients, and the companies themselves- all of which is standardized for our proprietary databases. Work with Refinitiv (Thomson Reuters) feed and other sources to ensure universe of companies we cover is robust and current. This includes reviewing and updating new ratings daily and responding to client inquiries to expand our ratings universe or investigate any data irregularities. You will work on various projects with internal stakeholders to ensure that the data is ingested efficiently and controlled for quality and timeliness. Some projects that we are currently working on include bankruptcy data, NAICS code data, and public coverage universe expansion and clean-up., • Company Identification. Review supplier/ vendor lists from clients and prospects and identify ownership structure and update clients portfolios accordingly., • Research and Analysis. Our Sales, Marketing and Client Services teams are always looking to provide insightful and topical company & market research to prospects and clients. Assist Junior Associates in their efforts by collecting and analyzing the background data needed to support marketing content ideas., • Client & Sales Advanced Data Support.Our proprietary technology platform can be complex, as are our clients needs. You will perform a wide range of tasks including, for example: extracting targeted data from our internal systems, supporting our API and other automated engagements, troubleshooting our production systems and managing bespoke customer data and reports., • Assist with Strategic Projects. Support Junior and Senior Associates on a range of projects that will deliver operational efficiency gains and data insights using tools such as SQL, R and Python. Who Were Looking for: • Bachelors Degree candidate, • Knowledge of financial statements, • Excel Skills are essential. SQL desirable. Python a plus., • Detail oriented and self-motivated, • Strong, analytical problem solver What We Offer: • The opportunity to grow alongside a fast-growing fintech company, • Hands-on training and experience in sales, • Hands-on experience working with sales tools such as Salesforce, LinkedIn Navigator, ZoomInfo, Sales CRM, • Opportunities for both personal and professional growth, • Competitive Hourly Pay Note: Our NYC and Boston offices are open with continued options of hybrid on-site/remote working. That said, it is important that the student in this role is based in the greater Boston area and can work in our Quincy office 2 days a week (Tuesday/Thursday). Why join RapidRatings? Here at RapidRatings we foster an environment where employees feel recognized for their contributions, appreciated for their individuality, and challenged to do their best. We know that bringing together employees (and interns!) with diverse backgrounds, perspectives, and experiences sparks innovation, promotes better decision making and yields the creative problem solving that is critical to our long-term success. We offer a flexible work environment, continuous education and learning, and much more. With us, you are not just a number we value people who are working hard and strive to make a real difference. Join our team to be a part of an industry-changing company and drive your career in the right direction. Would you like to know more about us and RapidRatings? Head over to our website:

Job Description This role is ideal for someone who loves working with data, solving complex problems, and making a measurable impact. Analysts are not just a reporting function at EverQuote; they lead cross functional projects and data-driven decision-making, the core of our operational philosophy as we revolutionize how people shop for insurance. We are looking for someone with analytical ability, an interest in understanding complex business and marketplace dynamics, and commitment to operational excellence and continuous improvement. This is a hybrid role that requires being in office several days a week. The base salary range for this full-time hybrid position is $73,100 - $86,000. Starting salaries will generally be in the lower part of the salary range provided. Employees, depending on their specific role, level and responsibilities, may be eligible to participate in company variable compensation or equity programs. What you'll do: • Analyze performance metrics and trends in order to identify opportunities to grow our business, • Drive performance marketing or bidding through rapid testing and building scalable capabilities, • Collaborate with product, engineering, and business development teams on cross-functional initiatives, • Interface with company leadership on your insights and recommendations, • Strong analytical mindset with a degree in Statistics, Mathematics, Economics, Computer Science, related field, OR demonstrated analytical and technical experience, • Able to structure and break down a complex problem into its component parts, • Entrepreneurial spirit with a strong sense of urgency and accountability, • Proficient in data analysis and with an understanding of statistics, • Capable of using data to tell a story and drive change, • You might know SQL or a programming language such as Python (a plus!), • You are a team player and have the ability and desire to collaborate effectively EverQuote operates a leading online marketplace for insurance shopping, connecting consumers with insurance provider customers, which includes both carriers and agents. Our vision is to be the leading growth partner for property and casualty, or P&C, insurance providers. Our results-driven marketplace, powered by our proprietary data and technology platform, is improving the way insurance providers attract and connect with consumers shopping for insurance. For more information, visit and follow on LinkedIn.

Job Description Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Staff Data Scientist to join a verification and validation team that evaluates safety-critical AI systems. You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward. In this role, you will: * Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability. * Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures. * Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions. * Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies. * Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation. * Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data. Qualifications: • MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field, • Proficiency in Python and SQL with experience in production-quality code, • Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis., • Experience with large-scale data analysis and statistical modeling, • Proficiency with Git, unit testing, and collaborative development practicesBonus Qualifications: Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines * Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks * Experience with designing metrics and delivering actionable insights that drive business decisions 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. 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 Remote | United States $250,000 – $315,000 + Token + Performance Bonus AI | DeFi | Data Infrastructure | Automation Systems Snapshot Join a high-impact AI + DeFi venture incubated by one of the earliest and most influential protocols in the Ethereum ecosystem ($8B+ TVL). This role sits at the center of a major transformation — building an AI-powered governance engine designed to reshape how decentralized systems operate. This is not just backend engineering — this is architecting the foundation of AI-native governance systems at scale. Ideal Candidate Profile • Has built early stage systems in data / AI / backend-heavy environments, • Thinks in systems, not just services, • Comfortable leading in high-ambiguity environments, • Strong ownership mindset with execution speed What You'll BuildPhase 1 — Automation & Data Infrastructure Workflow automation (Notion database sync, governance pipelines) * Data pipelines across: * Blockchain nodes * DEX APIs * Lending protocols * Risk analytics data platform (accurate, historical, queryable) * Monitoring, validation, and deterministic systems Phase 2 — AI-Native Platform Foundations • AI agent infrastructure (execution environments, guardrails, provenance) Knowledge-work interfaces: * Tree explorers * Diff systems * Cognitive UI layers * Event-sourcing architecture + cryptographic proof systems * Human + AI collaboration tooling What You'll Do * Lead architecture and development of core platform systems * Build and scale automation engines + data infrastructure * Drive projects end-to-end: * Design build deploy iterate * Define engineering standards: * Testing * Observability * Reliability * Operate in a fast-moving, ambiguity-driven environment Tech Stack • TypeScript · Node.js · PostgreSQL · React, • Python / Go / Rust / Java, • APIs · Data Pipelines · AI Integrations What We're Looking For 5+ years building production-grade backend systems * Strong TypeScript / Node.js expertise (non-negotiable) * Advanced SQL + relational data modeling (PostgreSQL preferred) * Experience building data pipelines with third-party APIs * Proficiency in at least one: Python, Go, Rust, or Java * Proven ability to lead technical projects end-to-end Bonus: * AI/ML or agent-based systems * DeFi / blockchain experience * Event sourcing / complex system design * Open-source contributions Compensation & Benefits * $250,000 – $315,000 base * Token-based incentives * Performance bonuses * Work on systems with real-world financial impact Location & Eligibility Remote (United States only) * Must be US-based & authorized to work * Fully distributed, async-first environment Why This Role • Operate at the intersection of AI + DeFi + data infrastructure, • Build AI-augmented tools for knowledge work and governance, • Work on systems with real economic and protocol-level impact, • Join at a early stage / transformation phase with high ownership

Job DescriptionAbout Us At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing. Our success is measured when we can empower all of healthcare to focus more on improving the health of people. That success is driven by Kalderos' greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and thrives on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission. That's where you come in! We are looking for a collaborative Data Engineer II. You have a strong inclination to work in rapidly developing and expanding organizations and possess the necessary background to do so. You are well-acquainted with the fast-paced, high-volume, and uncertain nature of operations in the organization, and perceive it as a chance to deliver significant outcomes. This is a full-time, hybrid role, which can be based in Chicago, IL or Boston, MA. Relocation assistance will not be provided. Expected Salary Range: $130,000-$145,000 base + bonus What You'll Do • Design and implement data models in partnership with product, analytics, and engineering teams so they are scalable, well-documented, and aligned to business needs., • Collaborate with other Data Engineers to solve problems that directly impact enterprise customers, • Build data transformations and data flows utilizing Python, SQL, DBT, Postgres and Snowflake, • Build out automated ETL jobs that reliably process large amounts of data, and ensure these jobs run consistently and are well-monitored, • Build tools that enable other data engineers to work more efficiently, • Tune existing implementations to run more efficiently as they become bottlenecks, or migrate existing implementations to new paradigms as needed, • Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw uponWhat You'll Bring, • Bachelor's degree in computer science or similar field, or equivalent experience, • 2-4+ years of work experience as a Data Engineer in a professional full-time role, • Advanced knowledge of SQL and Python (along with data analysis libraries such as Pandas, NumPy, and others), • Strong data modeling experience (understanding of SQL, NoSQL, and other database types along with relational modeling), • Ability to learn new technologies and work in various components across the full tech stack, • Experience with cloud native infrastructure (Azure preferred), • Experience with Container Applications (Docker), • Experience building ETL pipelines and other services, • Experience with GenAI Tools and Workflows, • Professional experience in application programming with an object-oriented language.Set Yourself Apart, • Experience with DBT and Snowflake, • Experience with event driven platforms, • Experience with infrastructure as code tools like Terraform, • Knowledge about the drug discount space and healthcare industryHighlighted Company Perks and Benefits, • Medical, Dental, and Vision benefits, • 401k with company match, • Flexible PTO with a 10 day minimum, • Mobile & Wifi Reimbursement, • Commuter Reimbursement, • Donation matching for charitable contributions, • Travel reimbursement for healthcare services not available near your home, • New employee home office setup reimbursementWhat It's Like Working Here, • We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems., • We empower each other and believe in ensuring all voices are heard., • We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture. We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out! Kalderos is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. Kalderos participates in E-Verify.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is perfect for an individual who enjoys solving the most complex problems across a portfolio of diverse domains and modalities. An ideal candidate is expected to apply classical autonomous techniques, algorithms, and theory to various platforms in multiple tactical scenarios. These solutions are expected to be integrated into real-world problems with near-term program impacts and rewards. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. We aim to push the envelope by combining traditional autonomous systems algorithms with deep reinforcement learning-based solutions to deliver unmatched capability, agility, and speed in deploying advanced technologies that support national defenseWhat you'll do: • Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision., • High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments., • Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios., • Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior., • Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms., • Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions., • Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development., • R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission., • Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience., • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)., • Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design., • Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain), • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation., • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance., • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., • Ability to obtain a SECRET clearance. Preferred Qualifications:, • Experience applying ML/RL techniques in autonomy pipelines., • Background in collaborative behaviors, swarm robotics, or distributed decision-making., • Familiarity with tactical behaviors for unmanned systems in DoD or government programs., • Work on behaviors applicable across air, ground, and maritime vehicles., • Hands-on experience supporting flight demos or live exercises. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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 DescriptionUp to $65.00/hour 1st Shift: 9:00am - 5:00pm Contract As a Software QA Engineer you will be responsible for: • Develop, document, and execute comprehensive test cases for application and embedded software., • Identify, document, and track software defects, inconsistencies, and performance issues using bug tracking systems., • Collaborate with cross-functional teams including developers, hardware engineers, and product managers to understand requirements and support design of effective test strategies., • Analyze test results, provide feedback to engineering teams, and suggest improvements to enhance software performance and reliability., • Experience in testing safety-critical software systems (e.g., automotive, medical devices)., • Familiarity with regulatory standards (FDA) and practices for medical software development (IEC 62304)., • Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering or a related field., • 3+ years of experience in software quality assurance, with a focus on application software and hardware systems., • Strong understanding of communication protocols such as EtherCAT, CAN, and UART., • Familiarity with working on real-time operating systems (RTOS), Windows OS, and Linux OS environment, • Familiar with programming languages such as C, C++, or Python for automation testing., • Experience with version control systems (e.g., Git, SVN) and continuous integration tools (e.g., Azure DevOps)., • Excellent problem-solving and analytical skills with attention to detail., • Strong verbal and written communication skills, with the ability to work collaboratively in cross-functional teams.

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. In this role you will oversee and develop client proposals, ensuring methodological soundness while consistently delivering exceptional services within timelines and budgets. You will leverage your coding skills to enhance reporting and data processes, drive client engagement, and identify growth opportunities for the firm. This role requires effective leadership of diverse teams and mentorship of junior members, contributing to their professional development and the overall growth of our practice areas.We'll Trust you to: • Lead Impactful projects- Oversee the development of proposals and ensure that projects meet and exceed quality standards while delivering on time and within budget., • Develop Data-Driven Solutions: Build and enhance complex reports, online tools, and data processes; perform advanced analyses and communicate insights effectively to clients., • Leverage Coding skills: Utilize SAS, Python, VBA to facilitate data processing and reporting, ensuring accuracy and efficiency., • Drive Client Success: Grow external client engagements, own key aspects of client relationships, and ensure satisfaction., • Monitor project progress, manage risks, and keep stakeholders informed of outcomes; manage financial aspects of projects, including drafting SOWs and managing invoices., • Identify Growth Opportunities: Identify areas for firm growth, creating action plans that include new offerings and improvements to best practices., • Lead and Mentor Teams: Motivate & guide diverse teams while fostering an innovative, inclusive, collaborative work environment, Support team's professional development, • Support Organizational Development: Contribute to management initiatives, including employee engagement, recruitment, training, and ongoing education; contribute to internal initiatives as needed. What You Bring:, • Education & Experience: Bachelor's or advanced degree with at least 6 years of professional experience in data and analytics within the life sciences or pharmaceutical industry., • Strong understanding of Pharmaceutical commercial functions, including Data Management, Sales Operations, Commercial Analytics, and BI/Reporting., • Technical Expertise: Strong coding skills (SAS, Python, VBA) and experience with data visualization tools (Tableau, Power BI) are strongly preferred. Proficiency in Microsoft Office (PowerPoint, Word) with advanced Excel skills, • Analytical Skills: Advanced analytical and quantitative aptitude, with exceptional problem-solving skills., • Project & People Management: Proven project management and people management skills, with experience as a team leader or manager. 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 DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this ground-breaking shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics The MissionMake general-purpose robots a reality. The ChallengeWe envision a future where robots assist with household chores and cooking, aid the older population in maintaining their independence, and enable people to spend more time on the activities they enjoy most. To achieve this, robots must be able to operate reliably in complex, unstructured environments. Our mission is to answer the question “What will it take to create truly general-purpose robots that can accomplish a wide variety of tasks in settings like human homes with minimal human supervision?”. We believe that the answer lies in cultivating large-scale datasets of physical interaction from a variety of sources and building on the latest advances in machine learning to learn general-purpose robot behaviors from this data. The TeamOur goal is to redefine the field of robotic manipulation, enabling long-horizon dexterous behaviors to be efficiently instructed, learned, and improved over time in diverse, real-world environments.The team possesses deep, multi-functional expertise across hardware, simulation, perception, controls, and machine learning. We measure our success in terms of the development of fundamental capabilities, as well as the research impact achieved through open-source software and publications. Our north star is fundamental technological advancement in building robots that can flexibly perform a wide variety of tasks in diverse environments with minimal human supervision. Join us and let’s make general-purpose robots a reality.Some of our ongoing work is highlighted here. The OpportunityWe’re looking for a motivated engineer with a “make it happen” mentality. The ideal candidate is able to work independently when needed, but also works well as part of a larger integrated group at the innovative of pioneering robotics and machine learning. If our mission of revolutionizing robotics through machine learning resonates with you, get in touch about how we can create the next generation of AI-powered capable robots together!Responsibilities • Research and contribute to the design of novel robotic systems through software development, encompassing control, perception, and planning, applying both classical and learned methods., • Enable research into robot foundation models by working with mechanical/electrical engineers, technicians, and researchers to build and integrate new enabling robotics technologies., • Work with robotics research scientists toward applying and integrating research toward more robust, perceptive, and scalable systems., • Design and integrate creative system solutions; combining actuation, structure, and sensing, as well as new mechanisms and sensory for human-scale manipulation and dexterity. Qualifications, • B.S. or equivalent experience or higher in an engineering-related field and 6+ years of relevant industry experience., • Strong software engineering skills; comfortable working in a mixed Python and C++ codebase., • The ability to design and deploy integrated systems that complement and bring to bear advanced software and learning algorithms., • Deep multi-functional understanding of all levels of a robotic system including both hardware and software, with experience operating robots., • Experience with a full-stack approach to robotics, including familiarity with electromechanical systems and actuation, as well as practical software design., • Familiarity with physical/embodied AI methods and training machine-learned policies., • Experience with inter- and in-process communication, parallelism, logging, networking and data systems, and common methods., • Familiarity with classical motion planning and robotic control.Bonus Qualifications, • A track record of relevant publications in top international conferences (RSS, NeuRIPS, ICML, ICLR, CoRL, ICRA, IROS, …)

Job Description About SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. What You'll Do Join Simplisafe's Device Platform team as a Senior Manager of Software Engineering to lead one of our high-performing backend development teams. Together with your team, you'll work with stakeholders to build a technical roadmap that balances short-term value delivery and long-term platform investments, then lead the team in delivering incrementally against that roadmap. In the Device Platform domain, you'll be responsible for ensuring SimpliSafe's millions of internet-connected home security devices can securely and reliably communicate with our cloud ecosystem. Primary responsibilities include • Manage and mentor a team of backend software engineers, fostering a culture of ownership, continuous improvement, and technical excellence., • Conduct regular one-on-ones, provide coaching, write and deliver performance reviews, and support career development plans for all team members., • Drive the planning, execution, and successful delivery of projects within an Agile/Scrum framework, ensuring on-time delivery and high-quality results., • Partner with product managers, program managers, and other engineering teams to define requirements, scope projects, and manage dependencies., • Actively participate in your team's software design process, through a mix of direct personal contributions and partnering with senior engineers on your team., • Maintain your team's technical roadmap, balancing reliability improvements and tech debt with business-driven initiatives., • Set and enforce technical standards, conduct rigorous code and design reviews, and ensure the team adheres to best practices in areas such as testing, monitoring, and security., • Bachelor's degree in Computer Science or a related field., • 7+ years of professional software engineering experience, with at least 2-4 years of experience in a formal management or technical lead role managing direct reports., • Expertise in developing and deploying complex, high-traffic, event-driven backend systems and microservices., • Proficiency in at least one major programming language (e.g., JavaScript/TypeScript, Java, Go, Python, C#) with the adaptability to work with multiple languages., • Strong understanding of distributed systems and the infrastructure that supports them, including databases (e.g. MongoDB, DynamoDB, PostgreSQL), caching (e.g. Redis), and message queues (e.g., Kafka, RabbitMQ)., • Hands-on experience building, deploying, and maintaining cloud-based backend systems (AWS, GCP, or Azure)., • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High - Always challenging ourselves and others to raise the bar., • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style., • One Team - Taking a highly collaborative approach to achieving success., • Lift As We Climb - Investing in developing others and helping others around us succeed., • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive, • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here), • Free SimpliSafe system and professional monitoring for your home. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .

Job Description Company Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. With a combination of enterprise expertise and deep research in the field of AI, Ikigai Labs helps scale enterprises with AI by solving data engineering and modeling problems for business users and data scientists alike. Our unique ability to unlock value in tabular and time series data through AI-powered data harmonization, forecasting, dynamic learning and planning, is our Ikigai, our purpose in the world of AI. As an AI/ML Engineer at Ikigai Labs, you will be part of a high-performing team responsible for optimizing and deploying ML solutions to maximize performance and scalability. We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: • ML Optimization and Deployment: Develop and deploy machine learning models for optimal performance and scalability., • Productivity Tools Development: Build tools and services to enhance the ML platform, utilizing technologies like Kubernetes, Helm, and EKS., • Model Architecture: Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc.) to solve complex problems., • Research Adaptation: Stay abreast of recent ML and deep learning literature and adapt findings to real-world applications., • Collaborative Development: Work with cross-functional teams to integrate AI and ML solutions that drive business value., • Data Handling: Manage large datasets and build ML pipelines for data processing and training., • ETL/ELT Processes: Design and develop scalable data integration processes., • Predictive Modeling Platform: Develop an on-demand predictive modeling platform using gRPC., • Cloud and Containerization: Utilize Kubernetes for managing Docker containers and various cloud services (AWS, Azure) to solve cloud-native challenges., • Languages: Python3, C++, Rust, SQL, • Frameworks: PyTorch, TensorFlow, Docker, • Databases: Postgres, Elasticsearch, DynamoDB, RDS, • Cloud: Kubernetes, Helm, EKS, Terraform, AWS, • Data Engineering: Apache Arrow, Dremio, Ray, • Bachelor’s degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience (depending on the level), • Strong understanding of data structures, data modeling, algorithms, and software architecture., • Proficient in probability, statistics, and algorithm development., • Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib)., • (Bonus) Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm)., • Proficiency in Python, AWS services, and ETL/ELT pipelines., • Understanding of key software design principles, design patterns, and testing best practices., • Experience with Kubernetes and/or EKS is a plus., • Ability to learn quickly in a fast-paced, agile environment., • Excellent organizational, time management, and communication skills., • Willingness to engage in pair programming, share knowledge, and provide and receive constructive feedback. Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees, regardless of race, color, sex, gender identity or expression, age, religion, national origin, ancestry, citizenship, disability, military or veteran status, genetic information, sexual orientation, marital status, or any other characteristic protected under applicable law. If you are passionate about machine learning and eager to make an impact, we would love to hear from you. Apply today to join the Ikigai Labs team and help us build the future of AI. Powered by JazzHR PIleYeWvCd

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:As a Hardware Reliability Engineer at Shield AI, you will be responsible for ensuring the robustness and long-term performance of our VBAT flight hardware. You’ll work closely with design, manufacturing, and supplier chain to implement design-for-reliability best practices and perform reliability verification from concept through production. You will lead environmental and stress testing efforts, including temperature cycling, vibration, HALT, and HASS, conduct failure analysis and materials characterization, and analyze root cause investigations for manufacturing non-conformances and field returns. You’ll participate in design reviews and FMEA activities, shape material selection and manufacturing requirements, analyze test and field data using reliability modeling tools, and help develop corrective actions and process improvements that elevate hardware reliability across the program. What you'll do: • You will be responsible for developing and implementing design-for-reliability best practices, conducting rigorous testing, shaping manufacturing requirements, selecting materials, and analyzing field data to enhance the robustness of VBAT hardware., • Perform stress screening, environmental testing, and drive failure analysis to ensure flight hardware meets reliability and performance targets., • Analyze designs and test results to identify potential failure modes and mitigations., • Collaborate with design engineers to implement design for reliability best practices early in design., • Act as a key stakeholder in reviewing and approving designs for release., • Participate in design reviews and failure mode effects analysis (FMEA) to assess potential reliability issues., • Investigate manufacturing non-conformances and field hardware failures to determine root cause., • Travel as needed to perform deep dives into supplier processes., • Develop and recommend corrective actions to address identified reliability issues., • Utilize reliability modeling and simulation tools to predict system performance and lifespan., • Stay current with industry trends, advancements, and best practices in hardware reliability engineering., • Propose and implement process improvements to drive improvements in reliability across the program. Required qualifications:, • Technical background in materials science, electronics manufacturing processes (PCB fabrication and assembly), hardware reliability concepts, and environmental test practices., • Candidate must be self-starting and come with a growth mindset, with excellent problem-solving skills and attention to detail., • Bachelor's degree in Materials Engineering preferred. Degrees in Mechanical OR Reliability Engineering also are acceptable., • Familiarity with electronics (PCBs, PCBAs, electronic components) and moving mechanical assemblies., • Team-player with clear and concise written and oral communication skills., • Experience working with interdisciplinary teams to execute product design from concept to production., • Experience with the project management of technical projects., • Proficiency in Python, including NumPy, Pandas, SciPy, Plotly, and Matplotlib., • Familiarity with relevant industry standards, including IPC, JEDEC, AIAA, AEC, MIL, and SMC standards. Preferred qualifications:, • Master's degree in Materials Engineering preferred. Degrees in Mechanical OR Reliability Engineering also are acceptable., • 3+ years of experience in hardware reliability engineering, preferably with a focus on aerospace or automotive applications., • Proficiency in failure analysis techniques and materials characterization methods, • Experience with environmental testing, including temperature cycling, vibration, highly accelerated limit testing (HALT), and highly-accelerated stress screening (HASS)., • Familiarity with PCB fabrication, SMT, and polymerics application manufacturing processes Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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 DescriptionStaff RF Systems Engineer About SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. What You'll Do As a Staff RF Systems Engineer, you will be a key technical leader responsible for RF product development and validation at SimpliSafe. You help design and build SimpliSafe's RF capabilities in our goal to have the best-in-class wireless connectivity in the industry. You will work closely with the engineering teams to choose chipsets as well as optimize mechanical and electrical designs for RF performance. You will also lead and guide our ODMs design partners in the design, test, and qualification on new products. Responsibilities: • Establish and maintain the performance metrics for all wireless protocols (Wi-Fi, BLE, Radar, and Sub-GHz), ensuring they align with product requirements., • Build SimpliSafe's RF testing capabilities including test plans and equipment selection., • Lead and audit ODM design partners through the test and qualification phases. Review their test reports with a critical eye to ensure no corner cases are missed., • Lead the characterization of wireless chipsets and antenna systems to validate vendor claims and ensure suitability for SimpliSafe's unique hardware constraints., • Act as the RF consultant to Electrical and Mechanical teams, validating that board layouts and mechanical enclosures don't degrade RF integrity., • Review PRDs, and author RF technical requirements to meet product requirements., • Drive the development of automated test scripts to increase validation coverage and repeatability., • Deep expertise in:, • Validating radio and front-end performance across 400MHz to 70GHz bands, with a specific focus on high-reliability consumer electronics., • Proven ability to translate Product Requirements into technical RF specifications., • Advanced skills in debugging desense, interference, and coexistence issues in multi-radio environments., • Encoding methods and modulation schemes such as OFDM, Frequency hopping, QAM, GFSK, UWB, convolution encoding, STBC., • Expert-level operation of VNA, Spectrum Analyzers, Signal Generators, and Wideband Radio Communication Testers (i.e. IQxel, LitePoint, or Rohde & Schwarz)., • RF emission requirements and testing for FCC, ETSI, Radio and Emission qualifications., • Debugging RF issues. Setting up, running and evaluating of TIS, TRP, BER, Return Loss, Desense, radiation patterns, etc, • Bachelor's or Master's degree in RF/Electrical Engineering, or a closely related field., • 5+ years of progressive experience in RF design, development, and validation, with a proven track record of bringing products to market., • RF simulation tools like CST or HFSS., • Familiarity with common MAC Layer protocols. WiFi, BLE, Zigbee, Z-wave etc or be willing to learn and build expertise in this area., • Familiarity with MAC level protocol analyzers., • Familiarity with cellular communications., • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High - Always challenging ourselves and others to raise the bar., • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style., • One Team - Taking a highly collaborative approach to achieving success., • Lift As We Climb - Investing in developing others and helping others around us succeed., • Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment. What We Offer • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive, • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here), • Free SimpliSafe system and professional monitoring for your home. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description AbbVie’s global Information Research (IR) group has a mission to unlock information that makes cures possible. Within IR, the Enterprise Knowledge Accelerator (EKA) team is the trusted knowledge partner for clients in R&D and the Corporate Business & Strategy Office (CBSO). EKA drives innovation and enhances knowledge-sharing across the value chain, for better and faster decisions that impact advancement in our pipeline. The team is a global organization, with presences at the Lake County, Illinois headquarters and Boston, Massachusetts areas (US), as well as the Ludwigshafen site (Germany). Leveraging cutting-edge technologies and scientific expertise, we deliver industry-leading capabilities to harness insights from published content for high-impact decision-making. Our team possesses the scientific and technical expertise to utilize and provide guidance on a wide range of knowledge sources, ensuring high-quality answers for our clients. The Senior Data Scientist will join the Solutions for Published Insights and Client Enablement (SPICE) team, supporting AbbVie’s R&D, CBSO and other business functions enterprise wide. SPICE provides business partnership, resource consultancy, ad-hoc research support for business-critical questions, knowledge and insights mining and analysis, as well as designing and building innovative self-service solutions for insights generation from published resources and internal knowledge. This includes literature, patent, conference, news, clinical trial, and competitive intelligence data such as competitor pipelines. As a Senior Data Scientist on the Solutions for Published Insights & Client Enablement (SPICE) team, you will serve as the lead data scientist focused on advancing AbbVie’s competitiveness by driving Therapeutic Modality Knowledge & Intelligence Solutions. You will lead the creation of new methods and algorithms for extracting, harmonizing and proactive monitoring of knowledge on emerging therapeutic approaches, critically evaluate new technologies and scientific advances, and integrate them into impactful business solutions, to set AbbVie up for future success in a competitive landscape. You will play a critical role in identifying and filling strategic knowledge gaps around emerging therapeutic modalities—including genetic medicines, innovative biotherapeutics, and RNA therapies—through the design and implementation of innovative GenAI-based and agentic knowledge solutions. Your leadership will enable AbbVie to leverage high-value insights extracted, harmonized, and integrated from literature, patents, news, and competitor intelligence. In this role, you will collaborate cross-functionally with other EKA/IR and business teams to develop and deploy AI-powered and data science solutions that support AbbVie’s pipeline strategy, corporate strategy, and R&D initiatives. The position requires a strong background in both science and technology, and the ability to rapidly learn and adapt to new scientific advances in therapeutic modalities and information technology (such as generative AI solutions and AI agents), given the dynamic and expanding landscape. Responsibilities * Conceive, design, and implement advanced AI-powered published insights solutions (incl. agentic workflows) that address significant scientific and strategic trends and knowledge gaps in therapeutic modalities. * Develop and deliver innovative, high-quality intelligence solutions that systematically extract, analyze, summarize, integrate and proactively monitor key knowledge about novel therapeutic modalities (such as gene/cell therapies and innovative RNA or antibody-based drugs) to address urgent scientific and business needs. * Apply broad expertise in knowledge & information science, Generative AI/NLP, data warehousing, and software development to build robust data pipelines and analytical workflows for large and complex published (often unstructured) data, including literature publications, patents, news/press releases, and competitor pipelines. * Demonstrate deep knowledge of pharmaceutical R&D, drug development, and therapeutic modality trends * Operate with high autonomy and productivity, proactively tackling complex problems and driving multiple projects with minimal supervision. * Pursue and evaluate relevant external and internal leads in novel modalities, new technologies, and data sources—rapidly incorporating new findings into project strategies and generate novel, actionable insights for R&D and business strategy. * Collaborate cross-functionally with scientific, corporate strategy, and other R&D teams to ensure solutions meet real-world needs, fill knowledge gaps, and democratize access to key intelligence. * Mentor or supervise junior data & information scientists * Stay at the forefront of emerging trends, methodologies, and technologies that can advance therapeutic modality & competitor intelligence at Abbvie. * Author high-impact presentations and publications, communicating findings to diverse audiences. * Ensure adherence to AbbVie’s standards of compliance, data security, GxP, and code of conduct. * Achieve great results, while overwhelmingly demonstrating key AbbVie values and behaviors. Qualifications Required: • PhD (with 4+ years relevant experience) in life sciences (biology, pharmacology, chemistry, biotechnology, bioinformatics, pharmacy, medicine, biomedical data science, or related). Equivalent experience considered at Master's (10+ years) or Bachelor's (12+ years) level., • Deep knowledge of emerging therapeutic modalities, such as biotherapeutics (ADCs, mAbs, multispecific antibodies, cell therapies, etc.), different types of degraders, gene therapies (AAV, lentiviral, CAR-T, CRISPR, etc.), RNA therapies (mRNA, siRNA, ASO), as shown in recent industry advances, • Demonstrated leadership in designing and delivering creative technology solutions that advance business and scientific objectives; proven ability to translate complex scientific/business questions into actionable, large-scale information solutions., • Solid background in programming, informatics, and data science. Proficiency in Python required., • Hands-on expertise with extraction and integration of knowledge from literature, patents, competitive intelligence databases (e.g., Citeline, Cortellis), and news/press release sources., • Competence in using GenAI models for knowledge extraction (including prompting, pitfalls, etc.)., • Ability to rapidly learn and adapt to new advances in therapeutic modalities and information technologies and balancing multiple projects with shifting priorities., • Strong analytical, organizational, and problem-solving skills, with superior attention to detail and high degree of reliability and integrity., • Excellent written and oral English communication skills; proven ability to present complex concepts clearly to scientists, non-scientific audiences and different leadership levels, • Pharmaceutical industry experience., • Experience working in fast-paced, dynamic, multidisciplinary, and collaborative settings and global teams., • Familiarity with data engineering, software development principles, relational databases and SQL (e.g., Oracle, Hadoop) as well as common formats/APIs (REST, XML, JSON, Python libraries like Pydantic)., • Experience with embedding Gen AI models in larger Python-based workflows to automate knowledge extraction tasks., • Basic understanding of agents and agentic workflows (MCP, A2A). Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description Lead Quantum Error Correction (QEC) Researcher Boston, MA, US | Full-time | Permanent | Hybrid Salary: $145,000 to $240,000 DOE About us Riverlane's mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry's defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date to accelerate our cutting-edge R&D in quantum error correction (QEC), Riverlane partners with many of the world's leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We're making remarkable progress and growing fast. About the role As a Lead Quantum Error Correction Researcher at Riverlane, you won't just research quantum error correction - you'll help us build it. Your work will help deliver the world's first QEC stack and unlock useful, scalable quantum computing. We have a fantastic opportunity to join one of Riverlane's more science-focused quantum error correction teams, which works to enable large-scale error-corrected quantum computation. This world-class, highly collaborative team brings together mathematicians, physicists, computer scientists and software engineers, working side by side on a diverse portfolio of cutting-edge research projects. In this senior role, you will lead high-impact research projects and manage a small team within a larger, multidisciplinary group. You'll balance deep, hands-on research with technical leadership, mentoring, and strategic direction. What you will do As a Lead QEC Researcher at Riverlane, your work will vary, but typical activities may include: • Pushing the boundaries of quantum error correction (QEC) through hands-on, high-impact research, while coaching and levelling up researchers in your team., • Owning and leading multi-person projects end to end, working closely with your team and cross-functional partners across Riverlane., • Actively shaping the direction and priorities of QEC research in relevant areas as we scale our technology and roadmap., • Translating cutting-edge research into outcomes that move the company forward, contributing directly to Riverlane's goals and strategy., • Line-managing, mentoring and supporting members of your team, helping them to grow and take on increasing responsibility., • Building strong relationships with external partners, collaborators, and customers, including hardware partners across all qubit types., • Helping define and win new projects by contributing to compelling proposals and funding opportunities., • Sharing knowledge and collaborating across teams to rapidly advance our products., • Writing and reviewing code for our internal and open-source codebases., • PhD in mathematics, physics, computer science, or a related technical field (or equivalent professional experience), • Proven ability to undertake high-quality theoretical work (for example, through publications), • Experience driving the direction of scientific or technical research, • Experience leading projects involving multiple people, • A collaborative mindset with experience in guiding and mentoring less-experienced colleagues, • Working knowledge of QEC, • Ability to work effectively both independently, and as part of a team, • Experience undertaking or leading QEC research, evidenced by scientific publications, • Knowledge of qLDPC codes, • Understanding of one or more qubit modalities, • Experience leading a group of researchers working across multiple projects, balancing competing priorities, • Knowledge of Python and/or C++, • A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and 401K contributions, • Equity, so that our team can share in the long-term success of Riverlane, • Generous paid time off and enhanced family leave, • A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and math) and over 20 different nationalities Please upload your resume and covering letter by clicking 'Apply Now'. Your cover letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match. We do not use closing dates. Please apply as soon as possible to avoid missing out on this role. If you have any queries, please contact . Everyone is welcome at Riverlane. We are an equal opportunity employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every single qualification. We'd love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. GDPR notice: Riverlane collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details. #LI-CA

Job Description This is a fully remote opportunity. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team. About the Role: We are seeking a Senior Data Engineer to lead the improvement and refinement of scalable data infrastructure, data platforms, and data architecture that power our predictive analytics solutions. This role focuses on building reliable, high-performance data pipelines and orchestration frameworks that enable efficient data movement across systems. The ideal candidate brings deep expertise in modern data platforms, an understanding of big data tools, and distributed systems, paired with experience working with complex healthcare datasets (e.g., claims or clinical data). You'll play a key role in shaping our data foundation, ensuring robustness, scalability, and operational excellence across the platform. How you will make an impact: • Design, build, and implement data systems to support ML and AI models for our health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations (e.g., HIPAA)., • Develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data., • Collaborate with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications., • Build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms., • BS in Computer Science, Bioinformatics, or another quantitative discipline with 4+ years of relevant working experience., • Deep expertise in health, medical, and bioinformatics data, including real-world healthcare datasets, with a strong understanding of the complexities and challenges of processing medical and biological information., • Proficiency in Python and SQL within a professional environment., • Hands-on knowledge of big data tools like Apache Spark (PySpark), Databricks, Snowflake, or similar platforms, • Experience with data orchestration frameworks such as Airflow, Dagster, or Prefect., • Experience with modern DevOps practices, including CI/CD, IaC (Terraform), containerization (Docker/Kubernetes), and cloud environments (AWS preferred)., • A fun, team-oriented startup culture., • Generous stock options - we all get to own a piece of what we're building., • Unlimited vacation days., • Flexible schedule that supports working from home., • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. Salary Range: $130,000-165,000 base salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

Job DescriptionCompany Overview Rhythm is a global, commercial-stage biopharmaceutical company committed to transforming the lives of patients and their families living with rare neuroendocrine diseases. We develop medicines for previously untreatable or undertreated diseases and provide meaningful support for healthcare providers and patients and their families. We recognize the courage it takes for patients and their caregivers to begin their journey of advocacy to find the answers they need. Their courage inspires us to challenge convention, ask bold questions and seek answers for them. Every day, we strive for excellence through our willingness to adapt, learn, and our tenacity to overcome barriers, together. Opportunity Overview The Senior Manager, Business Analytics & Reporting will serve as a trusted analytics partner to North America Region teams including Commercial, Patient Services, Market Access, and Medical Affairs—translating complex business questions into rigorous analyses and actionable insights. The individual will work closely with these functions to manage their unique and competing priorities with a sense of urgency, high level of responsiveness and independently delivering high quality work product including writing SQL queries, building automated dashboards, and creating executive-ready reports that drive daily decisions. This position reports into the Director, Advanced Analytics & Business Intelligence. Responsibilities and Duties • Serve as an analytics bridge between teams—translating urgent business questions into rigorous, actionable analyses, • Manage competing stakeholder priorities, set realistic expectations, and deliver insights that shape daily decisions and quarterly strategy, • Build credibility by explaining what the data can and cannot answer, educating teams on methodology, and maintaining transparency about trade-offs, • Uncover the "why" behind performance trends, • Own recurring metrics that matter: Rx volume, patient flow, reimbursement approval rates, demand shipments, channel mix, • Support executive presentations for earnings calls, board meetings, and investor events—distilling complex analyses into clear visuals with actionable takeaways, • Write efficient SQL queries against Snowflake databases (claims, pharmacy feeds, CRM data) to extract and harmonize large commercial and patient datasets, • Design and automate Power BI dashboards that give real-time visibility into performance, • Use Python for exploratory analysis—testing hypotheses, identifying opportunities and risks, automating repetitive reporting, • Bachelor's degree in Business Analytics, Statistics, Computer/Data Science, or related field (advanced degree preferred), • 6+ years in pharma/healthcare analytics or BI, ideally with exposure to specialty pharmacy data, reimbursement dynamics, and rare-disease commercialization, • Experience working with large healthcare datasets such as claims, pharmacy adjudication feeds, or EMR data to understand patient journeys and real-world treatment patterns, • Advanced SQL proficiency (complex joins, window functions, query optimization), • Expert-level Power BI or Tableau skills for dashboard development, • Strong Python capabilities for data wrangling and exploratory analysis (pandas, NumPy, scikit-learn, Plotly/Matplotlib), • Comfort leveraging AI tools (e.g., ChatGPT, Claude, Copilot) to accelerate workflows—using LLMs for hypothesis generation, code review, documentation, and scenario testing while maintaining critical judgment on outputs, • Track record of managing multiple high-priority projects in fast-paced launch environments The expected salary range for this position is $135,000 - $215,000. Actual pay will be determined based on experience, level, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and company performance. This role may be eligible for benefits and other compensation such as restricted stock units. More about Rhythm We are a dynamic and growing global team spanning more than a dozen countries. At Rhythm we are dedicated to transforming the lives of patients living with rare neuroendocrine diseases by rapidly advancing care and precision medicines that address the root cause. Our team is passionate about expanding access to reach more patients and developing novel therapies for other rare neuroendocrine diseases, including congenital hyperinsulinism. At Rhythm our core values are: • We are committed to advancing scientific understanding to improve patients’ lives, • We are inspired to tackle tough challenges and have the courage to ask bold questions, • We are eager to learn and adapt, • We believe collaboration and ownership are foundational for our success Headquartered in Boston, Rhythm is proud to have been named one of the Top Places to Work in Massachusetts. Powered by JazzHR XVzaJ7LwZu

Job DescriptionTitle: Senior Security Engineer Location: On-Site; Downtown Boston Type : Full-time exempt, 50 hours per week Compensation: $112.5K- $165K* + 15% bonus + Full Benefits day one Who Are We: We are fiercely disrupting the concept of automobile ownership Flexcar is on a mission to replace car ownership for the majority of car owners. We are currently operational in 4 markets and continuing to grow. Our goal is to offer a flexible alternative to car ownership that puts our members in the driver’s seat of their budget and their vehicle. Flexcar covers all maintenance costs, insurance costs, registration costs, and more, to provide the flexible ownership alternative that is simple and seamless for our members. Flexcar empowers all walks of life to have the flexibility of a car of their own without the hassles of traditional car ownership. Role Overview Flexcar is seeking a dedicated Security Engineer as an individual contributor responsible for safeguarding a broad attack surface that includes Flexcar’s web and mobile applications, physical locations, and its remote team members. This is a highly collaborative role that will require working across all facets of the Flexcar organization. You will be expected to champion the development and implementation of proactive defense measures across the entire organization, collaborating across multiple teams to maintain our high security standards, and educating members of the organization in the realms of general security awareness as well as best practices when it comes to delivering software. This role requires a candidate who is a self-starter and capable of managing multiple requests from various teams within the Flexcar organization. Key Requirements Web Application Security • Hands-on experience with managing a Web Application Firewall, including the creation of custom rules, rate limiting, and managing vendor rulesets., • Must understand the current OWASP Top 10 and demonstrate the ability to educate others on how to identify and mitigate associated risks., • Must have experience with deploying and managing defensive measures, aka “Blue Teaming”., • Must have experience organizing and managing third-party penetration tests and ensuring that all findings are addressed in a timely manner., • Hands-on experience with threat modeling., • Experience leading tabletop sessions with members of the engineering team as well as non-technical members of the organization., • Demonstrated ability to conduct Open-Source Intelligence (OSINT) against the organization and its resources., • Experience creating CI/CD workflows and utilizing open-source security tools., • Experience with static analysis tools for code, dependencies, and container images., • Familiarity with AWS security tools and resources., • Familiarity with Terraform., • Experience with hardening Microsoft Entra (Azure AD) and O365., • Proven experience with Identity and Access Management., • Experience with administration of common Managed Detection and Response (MDR) solutions., • Proven ability to serve as a Security Incident Commander., • Ability to use the tools available for leading forensic analyses and guiding investigative efforts., • Familiarity with maintaining compliance with frameworks such as PCI, CCPA, and US Data Privacy., • Familiarity with compliance automation platforms., • Experience creating and maintaining foundational security policies., • Ability to manage Flexcar’s third-party vendor assessment process., • Ability to create both general security awareness content for the organization as well as targeted training for a variety of individual teams.What Tops Off the Tank:, • Rest & Relax! Flexible Paid Time Off and Sick Time, • Save for Your Future! 401(k) with company match from day one of hire, • Benefits: Excellent, low-cost healthcare coverage including: medical, dental, vision, eligibility day one, • Drive a Flexcar! Discounted employee rate on Flexcar products and no annual membership fee, • Weekly Pay, • and other amazing perks!, • Actual compensation will vary depending on geographic location, job-related knowledge, skills, experience, and market conditions. Disclaimer: This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer. Flexcar is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Flexcar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Flexcar is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Flexcar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Flexcar is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Flexcar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Powered by JazzHR aWMU0P9HI6

Job DescriptionManager, Clinical Data Science & Data Products (Applied AI) Location: U.S. Remote (with optional hybrid in a major metro) Type: Full-time Level: Mid–Senior (people manager / player-coach) Beacon Talent is conducting a confidential search for a venture-backed company building an applied AI + data platform used in regulated healthcare environments. The company helps technical teams access, standardize, and validate complex clinical datasets so they can develop and evaluate AI responsibly. The Role You will lead a small team responsible for turning raw clinical data into analysis- and model-ready datasets that are reliable, well-documented, and usable by both internal teams and external partners. This role blends people leadership, hands-on technical work, and program ownership across multiple concurrent data initiatives. What You’ll Do Lead delivery of clinical data products * Own dataset buildouts end-to-end: intake → profiling → transformation → validation → packaging → release. * Translate ambiguous requests into clear scopes, success criteria, milestones, and delivery plans. Manage and grow a high-performing team * Coach, develop, and support a team of data scientists/analysts; set expectations and maintain quality bars. * Hire and onboard as the team scales; establish repeatable workflows (reviews, documentation standards, runbooks). Build scalable, harmonized data foundations * Design and maintain curated clinical data layers that support repeatable analytics and ML workflows (not one-off extracts). * Partner with Engineering to productionize pipelines and implement safeguards around quality, lineage, and access controls. Work across diverse healthcare sources * Investigate and operationalize new sources as they come online (e.g., EHR extracts, claims-like feeds, clinical text, imaging metadata, device/monitoring outputs). * Ensure data integrity through profiling, anomaly detection, reconciliation, and rigorous QA. Be a technical partner to customer-facing teams * Support stakeholder communication on delivery status, limitations, and data interpretation in a clear, accessible way. * Contribute to playbooks and reusable artifacts that make delivery faster over time. What Success Looks Like * Datasets ship on time with predictable quality, strong documentation, and minimal rework. * Your team runs a consistent process for intake, transformation, validation, and release. * Internal stakeholders trust the data layers as “source of truth” for downstream analysis and product development. Qualifications Required * Experience leading teams (formal or informal), with strong project management instincts in technical environments. * Deep hands-on experience with healthcare data (EHR, claims, registries, clinical research datasets, etc.). * Strong proficiency in SQL and at least one analytics language (typically Python). * Demonstrated ability to communicate both detailed technical tradeoffs and executive-level summaries. * Strong writing/documentation skills and a quality-first mindset in regulated data contexts. Nice to have * Familiarity with common health data standards/terminologies (e.g., FHIR/HL7 concepts, ICD/CPT/LOINC/SNOMED-style vocabularies). * Experience with modern transformation tooling (e.g., dbt-like workflows), version control, and cloud data stacks. * Exposure to clinical NLP, imaging (DICOM ecosystems), or common data models (e.g., OMOP-style structures). * Startup/early-stage experience where priorities shift and you build process as you go. Working Style & Logistics * Fast-paced, iterative environment; emphasis on learning, experimentation, and continuous improvement. * Occasional in-person team gatherings (typically quarterly). Compensation Competitive base + equity + benefits (details shared during the process).

Job DescriptionDescriptionOPENING DATE: March 23, 2026 CLOSING DATE: April 3, 2026 TYPE OF POSITION: Trust Indefinite (Non-Federal) DIVISION: ATOMIC AND MOLECULAR PHYSICS LOCATION: CAMBRIDGE, MA AREA OF CONSIDERATION: This position is open to all eligible candidates. Conditions of Employment • Pass Pre-employment Background Check and Subsequent Background Investigation, as required., • Complete a Probationary Period if applicable., • Maintain a Bank Account for Direct Deposit/Electronic Transfer., • The position is open to all candidates eligible to work in the United States. Proof of eligibility to work in U.S. is not required to apply. SUMMARY This is the position of Atmospheric Physicist in the Atomic and Molecular Physics Division of the Smithsonian Astrophysical Observatory (SAO). The employee will perform research on atmospheric composition measurements, including aerosols and trace gases from Earth satellites’ observations. The employee will be part of a research group working on the design, development and implementation of software for atmospheric measurements and on the application of the measurements for scientific studies. The software will involve advanced algorithms for generation of data products for aerosols, gases, and clouds from UV/visible spectra. Research includes data analysis and sensitivity studies for satellite observations, especially for TEMPO (Tropospheric Emissions: Monitoring of Pollution) and its synergistic missions. MAJOR DUTIES1. Define scientific and system requirements to develop and evaluate advanced scientific and numerical algorithms, especially for aerosols and trace gases. This will involve implementing retrieval algorithms for remote sensing of atmospheric constituents, testing software, improving algorithm, and assessing result.2. Assist other scientists and/or programmers in developing programs for retrieval and application of satellite data products.3. Perform scientific studies involving atmospheric measurements, radiative transfer, chemical transport modeling, tropospheric chemistry, and spectroscopy. 4. Prepare refereed publications and present results at professional meetings.5. Contribute to the enhancement or enrichment of the research portfolio of the atmospheric measurement group at SAO through innovative retrieval method, science application, or modeling for satellite observations. QUALIFICATION REQUIREMENTSBasic Requirements A) Degree in physics; or related degree that included at least 24 semester hours in physics; or B) Combination of education and experience -- courses equivalent to a major in physics totaling at least 24 semester hours, plus appropriate experience or additional education. In either A or B above, the courses must have included a fundamental course in general physics and, in addition, courses in any two of the following: electricity and magnetism, heat, light, mechanics, modern physics, and sound. Additional Requirements In addition to the Basic Requirements above, you must have: a) One year of specialized experience that is equivalent in difficulty and responsibility to grade 11 level work in the Federal government. The experience would have included operating with wide latitude for independent judgment, performing complex analysis in the field of aerosol / trace gas remote sensing, and collaborating effectively with colleagues. OR Education for Grade 12: Ph.D. or equivalent doctoral degree. OR Combinations of successfully completed graduate level education and specialized experience may be used to meet total experience requirements. Knowledge, Skills, and Abilities (Required) • Knowledge of Fortran 90/95, Python, IDL, MATLAB, shell script, and Linux operating systems, • Knowledge of scientific software development, • Experience in the concepts, principles and practices of atmospheric science or a related field, as evidenced by a PhD, • Experience in developing operational retrieval algorithms for satellites, especially Geostationary, • Knowledge of mathematics and physics of satellite remote sensing, • Knowledge of radiative transfer, • Skill in developing new software, modifying existing programs, and designing, coding, testing, and maintaining complex programs, • Demonstrated ability to present in conferences/meetings and publish in peer-reviewed papers., • Skill in oral and written communication as evidenced by refereed journal publications and scientific presentations What To Expect Next: Once the vacancy announcement closes, a review of your resume will be compared against the qualification and experience requirements related to this job. After review of applicant resumes is complete, qualified candidates will be referred to the hiring manager. Commitment to Diversity, Equity, and Inclusion The Smithsonian Institution provides reasonable accommodation to applicants with disabilities where appropriate. Applicants requiring reasonable accommodation should contact . Determinations on requests for reasonable accommodation will be made on a case-by-case basis. To learn more, please review the Smithsonian’s Accommodation Procedures. The Smithsonian Institution is an Equal Opportunity Employer. We believe that a workforce comprising a variety of educational, cultural, and experiential backgrounds support and enhance our daily work life and contribute to the richness of our exhibitions and programs. See Smithsonian EEO program information: . The Smithsonian Astrophysical Observatory is an equal opportunity employer committed to diversity in our workplace. Please visit the SAO website at .

Job DescriptionAt Laminar (formerly H2Ok Innovations), we're leading the charge in cleantech innovation, reshaping process industrials and manufacturing to drive operational efficiency and sustainability for our world’s most foundational industries. Powered by our Laminar AI Co-pilot models and state-of-the-art sensors, our solutions optimize facility performance across various processes, including process manufacturing, production, water management, energy reduction, and waste minimization. Based at Greentown Labs, North America's premier cleantech innovation community, we're a woman-founded startup backed by renowned investors like Greycroft, Construct Capital, 2048 Ventures, and Flybridge Capital. Our groundbreaking technologies have earned accolades and adoption from industry giants like Unilever, The Coca-Cola Company, ABinBev, and Mitsubishi Electric. We're committed to unlocking untapped data for our customers, empowering them to gain a competitive edge and create Industry 4.0. Transforming our most foundational sectors of society is hard. Very hard. But we’re building an empire. And empire building is not easy. It’s deeply fulfilling, and you will learn and grow tremendously while driving sustainable impact globally with some of the largest players that make everything we eat, use, and wear. Our culture is to foster extraordinary growth within our teammates. We believe in autonomy, ownership, empowerment, demanding excellence, being mission-driven. We believe in creativity, authenticity, and extraordinary growth. We’re looking for relentless, ambitious, creative, and exceptional people to join our team and build the factory of the future. As our company grows and scales, we’re seeking an Electronics Reliability and Test Engineer to help ensure our products meet our high standards for performance and reliability across the entire hardware product lifecycle. You’ll work closely with our Hardware Engineers and our Contract Manufacturers, assist with PCB and hardware design review, and develop strategies to diagnose, track, and address quality incidents in design, manufacturing, and deployment. We value a self-sufficient, hands-on engineer who thrives in a fast-paced environment and enjoys tackling diverse technical challenges. Your work will directly impact hardware product design, improve overall product performance, and help achieve high customer satisfaction. What You Will Do • Develop and execute test strategies (and potentially develop test hardware) for PCBs in early-stage designs and through production, defining clear quality acceptance criteria and validation requirements, • Review mechanical and electrical designs, identify potential functionality/reliability risks, and recommend improvements, • Perform comprehensive root-cause analysis and recommend corrective action for downed or underperforming field devices, • Build processes for tracking and addressing manufacturing defects and field quality incidents, • Work closely with the Hardware, Software, and Deployments teams to coordinate device debugging, • Travel to customer sites when required to debug devices in field if context is needed (approximately 10%)About You, • 3+ years (mid-level) experience in hardware reliability, validation, or test engineering, • Electronics experience: PCB SMD and THT soldering, rework, troubleshooting, oscilloscope use, digital signal analysis, • Ability to read and debug electrical schematics, • Skilled in formal hardware debugging, root cause analysis, and executing corrective action plans, • Basic coding experience: Python, C, C++, • Generalist mindset: comfortable working with all parts of electromechanical assemblies, data logging, as well as system-level topics, • Clear, efficient, and respectful communicator, comfortable collaborating both with engineering teams and external contract manufacturers, • Database or test logging system experiencePreferred, • 5+ (senior-level) experience in hardware reliability, validation, or test engineering, • Experience working with PCB contract manufacturers, machine shops both domestic and international, • Experience designing automated PCB testing fixtures, • Familiarity with Six Sigma, • PCB design experience with microcontrollers, industrial communications protocols, • Previous experience navigating the balance between “move fast and break things, but not the important things”, • Comfortable building a test logging system from scratch, • Experience managing NPI (new product introduction) processesBenefits, • Direct impact on product and culture., • Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more., • 401k plan with employer matching, • Equity, • Competitive salary and bonus opportunities., • Dynamic and inclusive work environment., • Opportunities for growth and professional development., • Access to Greentown Labs' extensive network of cleantech startups.Learn How We Think, • Learn about our startup journey: Our Journey

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. Data is at the heart of every decision made at Klaviyo, and we're looking for a Senior Data Engineer to join our Business Intelligence (BI) team. BI at Klaviyo collaborates across all departments to provide a platform that powers all internal data, analytic, and reporting needs. Our mission is to champion data-driven value creation, and you will own creating and maintaining the internal data infrastructure that powers Klaviyo's business. This role in particular will significantly contribute to the infrastructure, pipelines, and security/compliance aspects of our internal analytics platform while driving architectural innovation and mentoring the team. How You'll Make a Difference As a Senior Data Engineer, you will shape the scalability, reliability, and cost-efficiency of our data platform. You'll lead architectural decisions, establish engineering best practices, and mentor other engineers while partnering closely with analytics, engineering, and business stakeholders. Your work will directly influence data-driven decision-making across the organization by ensuring our data systems are performant, observable, and built to scale. What You'll Do (Responsibilities) Accelerating Engineering with AI • Design, develop, and maintain scalable dbt models and pipelines, including advanced incremental and merge strategies., • Architect solutions for attribution models, event data pipelines, and analytics at scale., • Lead performance optimization efforts across Snowflake and related data systems., • Own end-to-end data pipelines, ensuring reliability, scalability, and observability., • Lead complex DAG orchestration with Airflow/MWAA., • Oversee Spark/EMR cluster management, job optimization, and large-scale backfills., • Architect infrastructure-as-code solutions using Terraform for Snowflake and AWS resources., • Oversee integration of AWS services (S3, EMR, Secrets Manager, CloudWatch) into the data platform., • Guide CI/CD pipeline design and improvements using GitHub Actions and CodeBuild., • Monitor Snowflake and EMR usage to proactively optimize costs., • Analyze query performance and warehouse efficiency., • Mentor and coach junior and mid-level data engineers through code reviews and technical guidance., • Establish and enforce coding standards, testing practices, and CI/CD processes., • Serve as technical lead for cross-functional data initiatives., • 5+ years of data engineering experience, including demonstrated technical leadership., • Expert-level proficiency in dbt, including advanced modeling, testing frameworks, incremental strategies, and performance tuning., • Deep expertise in SQL and Snowflake, including query optimization, warehouse sizing, and cost governance., • Strong Python skills for data processing, API integrations, and internal tooling., • Experience architecting data lakehouse solutions., • Hands-on experience designing and operating Apache Iceberg-based data lake architectures on Amazon EMR., • Proven experience operating production systems with a strong focus on reliability and cost efficiency., • Demonstrated experience leveraging AI to improve personal and team workflows., • Strong problem-solving skills and an operational mindset focused on SLAs and production stability., • Ability to align technical decisions with business priorities., • Expertise in Spark/EMR performance optimization and scaling strategies., • Advanced Terraform usage across multi-environment infrastructure., • Extensive experience with Airflow/MWAA orchestration at scale., • Strong Docker and container orchestration experience., • Experience architecting AI-driven workflows, including multi-agent systems, concurrent execution models, and tool-augmented agents., • Domain experience in:, • Marketing attribution modeling and analytics data flows, • Event data ingestion, transformation, and large-scale aggregation, • Data warehouse governance, optimization, and cost modeling, • BI infrastructure and operational excellence We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$124,000—$186,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Mission Summary: Our Infrastructure Interns will help build and optimize the data pipelines, tooling, and platforms that enable Perception, Behaviors, and Actions teams to develop and deploy models at scale. This role focuses on high-reliability data systems, dataset processing workflows, storage and retrieval tooling, and infrastructure automation. Responsibilities: • Support development of scalable data ingestion, processing, and validation pipelines, • Build tools for dataset management, versioning, and quality measurement, • Work with large multimodal datasets (images, video, telemetry, logs), • Implement automation to improve data labeling workflows, annotation QA, and metadata tracking, • Collaborate with Perception, Behaviors, and Actions teams to understand data requirements and optimize tiered dataflows, • Contribute to the observability of data pipelines, including metrics, dashboards, and alerting, • Support development of Cloud Operations Platform to manage autonomous vehicle fleet, • Support development of Development Portal to improve SDLC workflows and systems, • Currently pursuing a degree in Computer Science, Computer Engineering, Machine Learning, Robotics, or a related field, • Strong programming skills in Python, C++, Golang or other modern programming languages, • Coursework or project experience in data engineering, distributed systems, automation, or backend infrastructure, • Coursework or project experience serverless architectures, building systems using SQL and NoSQL databases, • Experience with big-data technologies, • Knowledge of workflow orchestration tools, • Exposure to ML data pipelines, dataset lifecycle management, or ETL systems, • Experience with source management tools (ex. git, svn, ClearCase), • Familiarity with tools for logging, monitoring, or observability, • Experience with cloud or containerized environments or willingness to learn Note: This will be a hybrid onsite internship position in Boston or Pittsburgh. We will accept resumes on a rolling basis until the role is filled. Compensation will be based on location and degree level. Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo is looking for a Senior Security Engineer to add to our growing Detection and Response (D&R) Team. This is a hands-on technical role that involves building and maintaining secure, reliable, and scalable detection and response systems to enhance our security observability capabilities. This role will also be responsible for participating in full end-to-end detection development and response lifecycle and support with threat response operations. As a Senior Security Engineer, you will have the opportunity to leverage your security and engineering skills to provide thought leadership, solve complex security challenges and ultimately improve Klaviyo's overall security posture. How you will make a difference: • Build systems that facilitate security observability for detection and response, • Develop AI-first security systems to automate detection and response operations, • Onboard, normalize and optimize security logging data for large-scale data analysis, detection engineering, deployment of ML models, and efficient querying during incidents., • Develop high-fidelity rule-based and/or ML-based detections as code, • Respond to security alerts, cyber threats, and security incidents, • Drive end-to-end incident response investigations, • Automate and codify detection and response workflows and processes, • 5+ years of experience in software, security, and/or data engineering, • Automation-first and AI-first approach for all work performed, • Experience with centralized logging, data lakes, and SIEM solutions, • Familiarity with large-scale data pipelines and data engineering techniques, • Proficient in programming languages to automate / build (e.g., Python, Go or similar), • Proven experience with git/GitHub and CI/CD automations, • Familiarity with tactics, techniques, and procedures used by threat actors, • Experience being part of detection and response or incident response on-call, • Strong passion for continuous learning and staying updated on evolving technology, • Strong oral and written communication skills Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$141,600—$212,400 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description About Us We are looking for a motivated Escalation Engineer to join our team. You have a passion for understanding and supporting your users, and are excited to deepen your software development and investigation skills. You thrive in fast-paced environments where no two days are the same -- triaging complex issues, diving into logs and code, and working side-by-side with engineering to keep our platform reliable. You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health. We are looking for a motivated Escalation Engineer to join our team. You have a passion for understanding and supporting your users, and are excited to deepen your software development and investigation skills. You thrive in fast-paced environments where no two days are the same -- triaging complex issues, diving into logs and code, and working side-by-side with engineering to keep our platform reliable. You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health. Preferred Schedule: Candidates located in or able to work Eastern Standard Time (EST) hours are preferred. Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people's lives! What You'll Do • Respond to submitted requests through our ticketing system and via direct message, providing technical support for our clinical applications, • Coordinate with other teams on Slack to troubleshoot issues, triaging by severity and driving toward resolution within SLA targets, • Respond to incidents -- gathering information, troubleshooting, and helping guide them to resolution alongside engineering teams, • Update status pages during escalations and write postmortems summarizing root cause, impact, and follow-up actions, • Create knowledge base articles, runbooks, and canned responses with clear, repeatable steps in Confluence, • Perform deep troubleshooting using past experience, internal tools, and observability platforms such as Datadog and Sentry -- investigating down to the code level where needed, • Translate complex technical findings into clear updates for non-technical stakeholders including clinical and operational teams, • Identify trends in recurring incidents and surface patterns to engineering and product teams to drive systemic improvements, • Build tools and scripts to support our teams, improving development and operational efficiency, • Operate within our Quality System, creating and updating records that support our regulated Medical Devices, • 3–5 years of experience in technical support, escalation engineering, or a related role involving hands-on troubleshooting of production systems, • Demonstrated software development experience (e.g., Python, TypeScript, NodeJS, React), • A proactive mindset that persistently hunts down root causes and implements durable solutions rather than applying one-off fixes, • Hands-on experience with observability tools (Datadog, Sentry, New Relic, or similar) and ticket management in Jira, • Experience with incident management processes, including acting as incident commander or on-call responder, • Experience debugging web applications using browser developer tools and tracing issues across the full stack, • Ability to troubleshoot APIs, reproduce issues, and write clear defect reports for engineering teams, • Calm under pressure with strong prioritization skills -- comfortable managing competing urgent requests simultaneously, • Outstanding communication skills with the ability to work collaboratively in remote/async environments and translate technical issues for non-technical audiences, • An excitement to learn new skills and technologies on the job, • Experience in safety-critical environments, medical technology, or HIPAA/privacy-sensitive environments, • Familiarity with MRI imaging workflows, DICOM, or clinical application support, • Background in SRE practices: monitoring, alerting, runbook automation, • Familiarity with Auth0 or AWS infrastructure, • Experience with SQL and database troubleshooting Our Values First: we are Pioneers • An avenue to make a positive impact on people's lives and their health, • We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member, • Growth opportunities are at the heart of our people journey, we're doing big things with bright minds - there is no single path to success, it can be shaped along the way, • Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize, • Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it, • We now offer the Prenuvo's Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we've got you covered—making your commute easier and more affordable!, • Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions., • We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules. Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to .

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business. As a Sr. AI Engineer at Klaviyo, you'll play a key role in designing and building scalable backend systems and user experiences that power our AI products and AI agent solutions. You'll partner closely with product managers, machine learning engineers, and data scientists, to drive real-world impact at scale. This is a backend-heavy role with opportunities to influence architecture, async processing pipelines, distributed systems, and more. How You Will Make a Difference * Design and build backend systems that support scaling our AI solutions for 167K+ customers. * Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume. * Develop robust, reliable and scalable services to serve AI models in production environments. * Contribute to evolving our agentic architecture — making our AI agents more self-sufficient and performant. * Contribute to a culture of ownership, experimentation, and customer-centric product thinking. Who You Are * 5–7 years of professional experience in software engineering, with a strong focus on backend systems and distributed architectures. * Have hands-on experience building and deploying generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation. * Experienced backend engineer with a strong track record of building scalable, distributed systems, especially in the service of AI agent capabilities. * Proficient in Python and modern backend frameworks (FastAPI, Django preferred). * Experience creating human and automated evals to ensure high AI model quality. * Proficient in big data tools such as Apache Spark and Hadoop. * Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis). * Strong understanding of database technologies and ORMs (SQLAlchemy, Alembic). * Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); can manage infrastructure and CI/CD pipelines. * Skilled at designing and building robust APIs. * Able to operate with a high degree of autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment. * Driven by curiosity. You're someone who learns and stays up to date with this rapidly evolving field. * Comfortable collaborating directly with product managers and customers to shape solutions. Nice to Have * Trained ML models in the past and deployed them in production systems to generate impact to businesses. * Experience in reinforcement learning. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$152,000—$228,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionCompany Description Are you ready to trade your job for a journey? Become a FlyMate! Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire, we’re on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world. What more do we need to truly be unstoppable? Perhaps, that is you! Who we are: Flywire is a global payments enablement and software company, founded more than a decade ago to solve high-stakes, high-value payments in higher education. We’ve since scaled into new regions and industry verticals and expanded our product offerings to deliver meaningful value to our clients around the world. Today we support more than 4,800 clients across the global education, healthcare, travel & B2B industries, with diverse payment methods across 240 countries & territories and more than 140 currencies. With over 1,200 global FlyMates, representing more than 40 nationalities, and in 12 offices world-wide, we’re looking for FlyMates to join the next stage of our journey as we continue to grow. Job Description The Opportunity We, at Flywire, are looking for an experienced Manager II, Site Reliability Engineering to join our team. In this role, you’ll help drive reliability, automation and performance within our cloud-based infrastructure. At Flywire, the SRE team is responsible for the lifecycle of production systems. Our team is embedded within Software Engineering teams enabling and empowering them to achieve full speed on shipping reliable and operable systems. They also work at a global scale driving initiatives to achieve production excellence. • Coordinate and support daily activities for SREs on the team and partner with their managers to determine approach for managing daily tasks, • Track success on the team based on established goals and objectives, • Work on issues of limited scope with the ability to find and execute solutions to routine problems, • Become embedded within an Engineering team helping them navigate production excellence and advocate for best practices, • Mentor team members and drive initiatives, • Drive a design for a feature while understanding system-wide and architectural concerns, • Understand the basic day-to-day tasks traits of a production environment and participate in on-call support, • Engage and collaborate with other disciplines within the design, deployment, operation and optimization of services, • Debug production issues across services and levels of the stack as well as practice incident response and blameless postmortems, • Identifies opportunities both in processes and tools to improve the overall productivity of the team, • Identify great talent and excite them to join our team, • Provide estimations, track progress and manage risk as well as team members' time, • Participate in an on-call shift along with other disciplines to respond to incidents, • Become involved in tech communities and add contributions to enhance them Here's what we're looking for • 5 years of experience within the SRE space, • 2-5 years of leading or managing and developing SRE teams, • Comfortable with the idea of being or becoming a generalizing specialist as we are aiming to build a multidisciplinary and balanced team based on "t-shaped" individuals., • Experience with at least one programming language is required as software engineering is an important part of our work and we actively use and support many different platforms and languages, • Proficient with testing techniques such TDD or BDD will be highly valued, • Familiarity with the container ecosystem, cloud infrastructure, build systems and CI/CD tools is key for being successful at this role, • Comfortable taking ownership of complex systems challenges and help uncover opportunities for improvement, • Strong communication and collaboration skills, and most importantly, empathy as we enable, empower and encourage our fellow colleagues Some Technologies We Use: • Ruby, Java, Kotlin, Go, Node, Python, • AWS: EC2, ECS, Lambda, Cloudwatch, SQS, RDS, Kinesis, S3, ElasticSearch, DocumentDB, • Linux, Docker, Terraform, Make, Chef, • Gitlab, Jenkins, • Sentry, Sumologic, Honeycomb Our Culture: • We are a global company. Our engineering team is distributed across 3 continents and 4 different countries so remote work is allowed!, • Our engineering practice is shaped around concepts including Agile, Lean, and Extreme Programming. Each team has a high level of autonomy to organize themselves in the way they consider more appropriate to execute their mission., • We actively engage in knowledge sharing by hosting internal cross-discipline events., • We are active in contributing to open source whenever possible., • We contribute to our local communities by hosting different events, Meetups, etc Additional Information What We Offer: • Competitive compensation, • Employee Stock Purchase Plan (ESPP), • Flying Start - Our immersive Global Induction Program (Meet our Execs & Global Teams), • Work with brilliant people that will keep you on your toes, learn more about their journeys by checking out #InsideFlywire on social media, • Dynamic & Global Team (we have been collaborating virtually for years!), • Wellbeing Programs (Mental Health, Wellness, Yoga/Pilates/HIIT Classes) with Global FlyMates, • Competitive time off including FlyBetter Days to volunteer in your community and Digital Disconnect Days!, • Great Talent & Development Programs (Managers Taking Flight – for new or aspiring managers!) Submit today and get started! We are excited to get to know you! Throughout our process you can expect to meet different FlyMates including the Hiring Manager and other Flymates. Your Talent Acquisition Partner will walk you through the steps and be your “go-to” person for questions. Flywire is an equal opportunity employer. With over 40 nationalities across 12 different offices, and diversity and inclusion at the core of our people agenda, we believe our FlyMates are our greatest asset, and we’re excited to watch our unique culture evolve with each new hire. The US base salary range for this full-time position is $160,000 - $200,000 and benefits. Our salary ranges are determined by role, position level, and location. The range displayed on this 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 and several other factors, including job-related skills, experience, relevant education and training. #LI-Remote

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Team Overview: The Amplify Engineering team builds internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organization, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to solve real operational problems with practical, well-designed software. Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly. This role is for builders and leaders who enjoy turning real-world pain points into reliable, scalable solutions. The work is highly visible and deeply impactful, shaping how thousands of Klaviyos get their work done every day through fast iteration, high ownership, and clear outcomes. How you'll make an impact: The Amplify team builds the internal platforms, automation, and AI-driven systems that power how Klaviyos work every day. As an Engineering Manager, you will: • Lead multiple engineering teams and set the technical vision for internal tools and platforms that drive efficiency, automation, and productivity., • Own a portfolio of internal systems supporting Sales, Marketing, Customer Service & Success, R&D, and Finance, including AI-powered workflows, internal web applications, data and event pipelines, 3rd party integrations, and support tooling., • Balance technical leadership and people leadership, setting direction, modeling best practices, and enabling teams to deliver efficiently., • Partner closely with engineers, product managers, designers, and senior stakeholders to translate organizational challenges into scalable, high-quality software solutions., • Learn and evolve Klaviyo's end-to-end internal workflows, scaling platforms and processes to support the company's next phase of growth., • Foster a culture of innovation, systems thinking, technical excellence, and an AI-first mindset., • Make a direct, visible impact on how thousands of Klaviyos get their work done every day. Who you are: • You are passionate about building software effectively and for the long term, balancing technical quality, velocity, and business impact., • BA or BS Degree in Computer Science, related field, or equivalent experience., • You have 6-8+ years of hands-on software development experience building and operating highly available, full-stack SaaS products at scale, and a strong understanding of modern web architectures and scalable, multi-tenant design patterns., • You have 5+ years of experience as an engineering manager, leading high-performing teams that deliver complex, cross-team initiatives over multiple quarters using an agile, iterative approach., • You are an AI-native technical leader. You have hands-on experience using modern AI tools and workflows (e.g., OpenAI, Anthropic, Gemini, N8N) in your own work and enabling teams to do the same. You are excited to experiment with various AI tools to increase team productivity and innovation., • You are comfortable setting technical direction and standards, partnering with peers and senior leadership to evolve architecture, development practices, and shared engineering processes., • You have a strong track record of end-to-end ownership, from design through delivery and deployment, including estimating work, managing risks, and ensuring teams reliably meet their commitments., • You are an effective cross-functional leader and communicator, serving as a clear interface between engineering, product, and business stakeholders to align priorities and drive execution., • You are a people-first leader and coach, experienced in hiring, onboarding, mentoring, and developing engineers through constructive feedback and growth opportunities, while fostering a healthy, collaborative team culture., • You enjoy leading teams that build internal platforms, tools, or systems that improve end-user productivity, automation, and operational efficiency., • You like to question convention, continuously improve how work gets done, and thrive in small, autonomous teams that ship early and often in close partnership with product and business stakeholders. 30 / 60 / 90 / 6-12 month Plan 30 Days: Build context across the Amplify domain by learning the teams' areas of ownership, architecture, and core workflows. Establish trust with engineers and partners while participating in technical discussions and tradeoff decisions. 60 Days: Assess team roadmaps and delivery practices, incorporating stakeholder and team input. Align priorities and plans with the technical vision and business goals you're helping to set. Start assisting the Amplify team with hiring. 90 Days: Improve how teams and stakeholders work by introducing or refining tools, processes, or architectures. Provide technical leadership through reviews, guidance, and targeted hands-on contributions when useful. 6-12 months: Be a trusted owner of your teams' platforms and systems, known for delivering meaningful, scalable impact. Partner closely with product and design to drive adoption of Amplify systems and evolve them to support Klaviyo's continued growth. Nice to have: • Experience building internal tools and automations for developers and/or non-technical stakeholders as well as operational systems that improve reliability and productivity., • Hands-on experience in full-stack environments, including diagnosing and improving application performance., • Deep practical experience using AI tools and patterns (e.g., APIs/SDKs, prompt and context design, agentic or automated workflows, RAG, and evaluation/monitoring) to solve real user problems. Klaviyo's platform is primarily built with Python and React and runs on AWS. New hires join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include: • Python / Django / FastAPI, • Typescript / React, • MySQL / Redis / Memcached, • RabbitMQ / Celery / Apache Kafka / Apache Pulsar This role is based in Boston, Massachusetts and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position. At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$176,000—$264,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionAt WHOOP, we are on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking an experienced Data Engineer who thrives on innovation and takes ownership of building and evolving data systems at scale. In this role, you will design, build, and optimize scalable data pipelines and platforms that power our data driven insights. You will play a key role in shaping robust ELT architectures, improving reliability and performance, and influencing technical direction across the data platform. With a strong focus on modern AWS infrastructure and tooling such as Snowflake, DBT, Kafka, and Spark, you will help elevate our analytical and operational capabilities. If you are excited about using AI to improve developer productivity and drive meaningful impact, we want you to join our team. RESPONSIBILITIES: • Design, build, and operate scalable ELT pipelines using Python and PySpark, with a focus on reliability, performance, and maintainability, • Own and improve batch and streaming data systems using Spark and Kafka, including monitoring and resolving production data issues, • Develop and optimize Snowflake data models and DBT transformations to support analytics, experimentation, and trusted metrics, • Partner with data scientists, analysts, and product teams to translate business requirements into well-designed data solutions, • Contribute to the evolution of the data platform by improving observability, data quality, and engineering best practices, • Leverage AI tools to accelerate development, improve code quality, and automate repetitive data engineering workflowsQUALIFICATIONS:, • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, • 3-5 years of professional experience building and operating ETL/ELT pipelines in production environments, • Strong proficiency in SQL and hands-on experience with modern data warehousing concepts and dimensional modeling, • Professional experience using Python for data engineering, including writing clean, testable, and reusable code, • Experience with DBT for data modeling, testing, and documentation is preferred, • Experience with Spark and Kafka for batch or streaming data processing is preferred, • Strong problem-solving skills, clear communication, and the ability to work independently while collaborating in an agile environment

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Role Summary Klaviyo is seeking a Manager of Advanced Analytics & Automation to lead strategic analytics programs and AI first automations for our Customer Success Strategy and Analytics team. This role owns the development of scalable customer intelligence systems, and spans customer cohorting, health and success signals, churn and expansion drivers, and AI-powered workflows that translate insight into action. You will operate as a senior technical individual contributor with program-level ownership, combining advanced data analytics and applied AI in partnership to build durable tools and processes used across GTM. This role is ideal for someone who can architect, build, QA, and operationalize advanced analytics and insights projects end-to-end while partnering deeply across Product, Ops, and Data teams. What You'll Do • Own Customer Success Intelligence & Advanced Analytics & Insights, design Production-Grade Data Models & Analytics Pipelines, and champion AI Tooling, Automation & Workflow Orchestration, • Build and maintain customer cohorting, segmentation, and benchmarking frameworks, in collaboration with our Product Data Science team, that captures meaningful differences in Customer behavior, maturity, and value, • Define and evolve customer health, adoption, and success scoring and signals, including leading indicators of churn and expansion, • Design and scale advanced analytics projects and models, including cohort analysis, statistical inference, and impact measurement systems, that connect product usage and engagement to customer retention outcomes, • Act as a technical program owner for complex analytics initiatives, driving roadmap definition, sequencing workstreams, coordinating dependencies, and delivering outcomes, • Create advanced SQL and Python outputs that power customer insights, forecasting inputs, and operational reporting, using GitHub for version control and change management, and applying strong data modeling and governance practices, • Partner closely with Data Engineering, CS OPs, Data Science and Product Analytics, to deliver strategic analytical tools and insights that inform GTM priorities, roadmap decisions, and customer strategy, and collaborate to deliver prototype AI-assisted tools that provide GTM teams real time actionable insights into customer behavior, • Design and deploy workflow automations using n8n, Airflow or other AI tools, and establish integrated AI driven alerts that surface real-time customer risk and opportunity, • Lead initiatives end-to-end: problem framing, design, build, QA, documentation, rollout, and iteration, • Maintain a high bar for execution quality, accuracy, reliability, and long-term scalability, • Translate complex technical outputs into clear, actionable narratives for senior business and GTM stakeholdersWhat We're Looking For, • 5+ years of experience in advanced analytics, technical analytics or data analytics (SaaS strongly preferred), • Advanced proficiency in SQL and GitHub, with experience owning complex analytical data models, • Strong hands-on experience with Python and/or R, including statistical inference, cohort analysis, and advanced research, • Tableau Developer–level fluency, with solid understanding of dashboard logic, metrics, and database structures, • Confident using AI tooling (e.g., Cursor, Glean, Codex, GitHub AI etc.) to accelerate development, and familiarity with workflow automation platforms (n8n, Airflow, DBT); experience with LangChain a plus, • Demonstrated ability to build and operationalize analytics and AI workflows used by CS, Sales, or GTM teams, • Experience operating as a technical program manager for analytics or data initiatives, • Strong communication skills and comfort partnering with senior, non-technical stakeholders, • High standards for analytical rigor, QA, documentation, and system reliability, • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. #LI-Abbey #LI-hybrid We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$124,000—$186,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionDescriptionWe are seeking a Principal Engineer to spearhead the development of cutting-edge Application Security products. This high-impact role involves working closely with Product and Engineering teams to build scalable security solutions, integrating AI-driven security alert detection, and driving strategic partnerships with top organizations. As a technical leader, you will shape the future of Application Security through innovation, efficiency, and collaboration. Key Responsibilities • Part of a team that is developing and integrating code scanning and application security products to proactively detect and remediate vulnerabilities., • Build a next-generation application scanner that seamlessly integrates with VIPR and AppScanner to enhance security measures., • Work with top-tier organizations as a design partner to refine and scale security solutions from inception., • Develop and optimize a multi-agent AI pipeline to improve application security operations., • Detects security alerts and contextualizes them using an AI-first approach for improved incident response., • Drive NPI (New Product Introduction) strategies, ensuring efficient resource allocation and cost-effective security solutions., • Join an established high-growth development team and influence security architecture and strategy across the organization Skills, Knowledge & Expertise • 7+ years of experience in Software Engineering, with some level experience in App Security Engineering or DevSecOps. (Developer Security operations experience), • Deep expertise in security vulnerability management, secure coding practices, and security automation., • 5+ years of experience with Python, Node, AWS, GIT Administration and CI/CD Pipelines, • 5 years of experience with MongoDB or S3 Architecture, • Ability to influence cross-functional teams and work with executive stakeholders., • Experience working with large enterprises and high-profile partners to drive security innovation and adoption., • Experience with embedding Security Controls in CI/CD Pipelines Job BenefitsThe salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.

Job Description At WHOOP, we’re on a mission to unlock human performance and healthspan. Our wearable technology provides personalized insights that help millions of members better understand their bodies and make smarter decisions about training, recovery, and lifestyle. Identity is foundational to securing modern cloud-native platforms, SaaS ecosystems, and enterprise systems. We are seeking an IAM Security Engineer to support the design, implementation, and continuous improvement of identity and access management controls across workforce identity, SaaS platforms, and production cloud environments. In this role, you will work closely with Security, IT, and Engineering teams to implement secure authentication and authorization patterns that protect critical systems and data. Responsibilities • Implement authentication and authorization controls across SaaS platforms, cloud infrastructure, and internal applications, • Configure and maintain SSO, MFA, conditional access policies, and federation integrations, • Assist with the evolution of single sign-on (SSO), multi-factor authentication (MFA), conditional access, and zero trust access models, • Assist in design and enforce role-based and attribute-based access control models (RBAC/ABAC) across cloud and SaaS systems, • Validate identity provider integrations, including application onboarding and SCIM provisioning, • Partner with Engineering to secure application authentication flows, API access, service-to-service authentication, and token management, • Harden and optimize identity provider configurations, including lifecycle management, federation, and SCIM provisioning, • Support AWS IAM security, including policy implementation, role configuration, cross-account access management, and identity federation, • Implement privileged access and identity lifecycle controls, including provisioning, deprovisioning, access reviews, entitlement governance, least privilege enforcement, and just-in-time access mechanisms, • Secure APIs, service accounts, and non-human identities used in automation and CI/CD workflows, • Implement and improve identity monitoring and detection capabilities, including anomaly detection, session risk analysis, and identity threat response, • Partner with GRC to support identity-related audits, evidence collection, and control validation across frameworks such as ISO 27001, SOC 2, PCI DSS, and GDPR, • Contribute to incident response efforts involving identity compromise, credential abuse, or unauthorized access eventsQualifications, • 3+ years of experience in IAM engineering or identity architecture, • Hands-on experience with enterprise identity providers such as Okta, Azure AD, or similar enterprise IAM platforms, • Strong understanding of modern authentication and authorization protocols, including SAML, OAuth 2.0, OIDC, SCIM, and JWT, • Experience designing and implementing RBAC and/or ABAC models in cloud-native environments, • Strong knowledge of AWS IAM, cross-account access models, and cloud identity federation, • Experience securing APIs, service accounts, machine identities, and CI/CD authentication workflows, • Experience with privileged access management concepts and least privilege enforcement, • Experience automating IAM tasks using scripting or infrastructure-as-code tools (i.e., Python, Terraform, or similar infrastructure-as-code tooling), • Familiarity with identity threat detection and response methodologies Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Job DescriptionAbout RevenueBase: * We're building the data infrastructure that makes AI agents trustworthy instead of error-prone. * We provide continuously refreshed, verified B2B data and tools for humans and autonomous AI agents. * We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive. * We power AI agents for Clay, Orbital, Dun & Bradstreet, and the next generation of AI GTM tools. About the Role: We are looking for a Developer Relations Engineer to help us evolve our customer experience from a sales-led motion to a developer-first, product-led engine. Your primary goal is to remove friction. You will ensure that developers can evaluate RevenueBase, understand our value, and deploy code without needing to schedule a sales call. You will be the bridge between our product and the developer community, focusing on time-to-value and technical transparency. Why We're Hiring This Role: * Developers building AI agents need data infrastructure they can trust—we're that infrastructure. * We need someone who can define how builders experience RevenueBase—through onboarding, docs, technical support, content, and code examples. * This role makes RevenueBase the obvious choice for developers building autonomous AI systems. What You'll Do: * Drive "Time-to-Value": Lead the initiative to reduce the developer onboarding time to <5 minutes to "Hello World". You will audit and improve our docs and flows so users can run their first search or API call immediately. * Create "Code-First" Content: Ensure that every operation and workflow we support has copy-pasteable code snippets available publicly on our website, replacing the need for a sales call. * Bridge the Infrastructure Gap: Many of our customers are new to the data stack. You will write foundational guides on how to configure the tools they use with us—specifically Snowflake, S3 buckets, and data warehouses—to ensure they can successfully ingest and use our data to support their different business needs. * Enable Asynchronous Evaluation: Recognize that developers prefer async communication over meetings. You will ensure our documentation is indexed for search and LLM queries and advise us on creating a highly developer-friendly product trial experience. * Community Trust & Support: Engage with the developer community by separating technical help from "selling." You will build trust by providing what works and offering technical advice, not upsells. Who You Are: * Technical & Hands-on: You are comfortable writing Python and SQL to build the same agents and workflows our customers are building. * Champion of Self-Serve: You understand that developers hate being sold to and dislike scheduling calls. You prioritize documentation and product improvements that allow them to self-serve. * Empathetic Educator: You realize that while our API is the product, the customer's blocker might be their own infrastructure (e.g., configuring an S3 bucket), and you are eager to create content that solves those peripheral problems. * Clear Communicator: You can explain complex data problems simply, ensuring that our website clearly communicates exactly which problems we solve (e.g., email verification, job title search). * Motivated Collaborator: You thrive in high-agency environments where you ship daily and collaborate directly with Engineering, and Sales. * Trail Blazer: You're genuinely excited about AI agents and want to help developers build reliable autonomous systems. Why RevenueBase: * Frontier impact: Define the data infrastructure patterns for autonomous AI agents as they move from prototype to production. * Proven traction: Cashflow positive, 100% retention, tripling growth—we have product-market fit and you'll accelerate it. * Technical depth: Real problems without Stack Overflow answers—debugging agent loops, architecting data flows for continuous AI, building reliability into autonomous workflows. * Founding role: First DevRel hire with clear path to leadership as we scale from supporting dozens to thousands of AI developers. What We Offer: * Real stake: Competitive salary and meaningful equity as a founding technical hire. * Comprehensive health coverage: Medical, dental, and vision plans. * Direct impact: Work directly with CEO (previous company sold to D&B for $125M), and small team. * Flexible time off: Take what you need.

< Overview Join the Alnylam Commercial Data and Analytics team and help build a product-driven engine that turns data-driven insights into deployed decisions with measurable business impact. As part of Customer Experience and Innovation, you will work cross-functionally with technical and business partners to accelerate commercial outcomes by standardizing what we build, how we build it, and how we deliver it through the tools and workflows business users rely on every day. As ___Associate Director, Advanced Analytics, you will contribute to prioritized Value Teams across the commercial organization: Business Performance & Drivers, Customer & Account Growth, Omnichannel & Media Optimization, Patient Pull-Through & Outcomes, and Evaluation & Learning. Value Teams collaborate fluidly to deliver and manage decision products that enable specific business outcomes, driving competitive foresight and actioning for the commercial organization through predictive and prescriptive analytics. In this role, you will bring product thinking to analytics end-to-end. You will be deeply embedded with the business to lead discovery and problem framing, define decision logic and success measures, and partner with engineering and platform product management to deliver analytics that are adopted, measurable, and continuously improved. You will work within and across multiple Value Teams, leading on specific outcomes while also building reusable analytical components and shared standards that accelerate delivery across the broader portfolio. The position will be based in Cambridge, MA. Key Responsibilities • Work within and across multiple Value Teams, aligning to transparent priorities and delivering reusable analytics that scale across franchises and markets., • Own analytics product strategy and roadmap for assigned decision products: identify the highest-leverage decisions, size opportunity, and sequence releases to maximize impact and adoption., • Lead complex decision-product analytics such as launch readiness and early performance, competitive dynamics and share shifts, account opportunity prioritization, and patient journey risk forecasting, with outputs embedded into core workflows., • Drive end-to-end product framing for decision-focused use cases: user definition, problem statement, hypotheses, decision points, and success metrics that combine value and adoption., • Translate business needs into deployable analytic requirements, including thresholds, segmentation logic, trigger definitions, measurement plans, and learning loops that improve over time., • Deliver decision-ready insights with clear storytelling and stakeholder-ready visuals, including executive-level readouts that drive decisions and follow-through., • Partner with engineering to move prototypes into production and define expectations for monitoring, retraining, and operational performance where models are involved., • Partner with Data Stewardship to define and use single source of truth metrics, ensure traceability to governed definitions and gold-layer data products, and contribute to analytics engineering using dbt-informed specifications and documentation., • Use AI tooling to increase efficiency and throughput, including AI-native IDEs and safe use of agentic AI analytics when appropriate; operate in agile delivery rhythms using Jira and GitHub-based version control for analytic artifacts. Qualifications • BS degree in Business, Data Science, Computer Science, Engineering, Information Systems, or related field, or equivalent experience., • 9+ years in commercial advanced analytics or data science, ideally in healthcare or life sciences., • Strong product-thinking and cross-functional delivery skills, including discovery, prioritization, measurement discipline, and adoption-focused enablement., • Advanced proficiency in SQL and Python or R, and comfort with modern analytics tooling such as Spark and dbt for analytics engineering and metric standardization., • Experience with AI and ML frameworks and APIs, and partnering with engineering to productionize analytics and support monitoring., • Experience using AI tooling to improve throughput and quality, including responsible use of agentic AI analytics and AI-native IDEs., • Experience with healthcare data such as EHR, administrative claims, and laboratory data, including common vendors and datasets., • Strong measurement and inference skill set, including experimentation, causal inference, uplift modeling, optimization, or advanced forecasting as relevant to commercial and patient decisions., • Proven ability to communicate complex insights to diverse audiences, including senior executives, with strong attention to detail and problem-solving skills., • Experience working in Jira and collaborating using git-based version control in GitHub. Value Teams • Business Performance & Drivers: delivering a single, trusted view of performance, key drivers, and competitive dynamics to unlock growth through sophisticated products and skillful leadership in business reviews., • Customer & Account Growth: optimizing commercial levers across field, strategic accounts, and digital to achieve sales ambition through proactive opportunity analytics and predictive insight, productized to drive ongoing value., • Omnichannel & Media Optimization: enabling proactive management of channel mix, messaging, sequencing, and spend through data products and a centralized user console., • Patient Pull-Through and Outcomes: identifying and preventing journey drop-offs and targeting access interventions to start and sustain therapy, enabling a differentiated patient experience that continuously improves outcomes. $164,000.00 - $221,800.00 The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity). Alnylam's robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k)with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together. Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: ___ AboutAlnylam We are the leader in RNAi therapeutics- a revolutionaryapproach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possibleand are just at the beginning of what's possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, wherean authentic, inclusive culture and breakthrough thinkingfuel one another. At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.

Golden Solution Authoring:** Develop "Gold Standard" Python solutions for each subproblem and create corresponding unit tests to verify accuracy - Quality Control and Review: Review peer prompts, golden solutions, and unit tests for accuracy, comprehensiveness, and difficulty. Expert Python Prof

The client is searching for an Associate Director of Data Science and Analytics to lead the clients data strategy and oversee analytics initiatives. This role involves establishing best practices in data science to support the Digital Americas business, including leading the design and delivery of AI/ML models for key business outcomes like churn, pricing, and lifetime value (LTV). A hands-on leadership approach is required to guide model, algorithm, and MLOps development while collaborating with global teams to improve data architecture aligned with strategic goals. The position also requires prioritizing Americas' requests in global systems, supervising development, quality assurance, and rollouts, and integrating regional tools into data warehousing and analytics platforms. Responsibilities include collaborating with the Digital Americas team to refine data processes, deliver actionable insights, and support decision-making. Additionally, this role involves leading web analytics audits to maintain accurate tagging and reporting, managing third-party data and analytics vendors, and building analytics tools that support revenue growth and business accountability. The Associate Director will assess performance metrics to guide the optimization of marketing, product, and digital experiences while ensuring the team remains up-to-date with trends in analytics and AI. Mentoring a Business Analyst and providing ad hoc analyses and cross-functional reports are also key duties. Candidates for this position should hold a bachelors degree, with a masters degree in a quantitative field such as statistics, mathematics, or economics preferred. They should have 812+ years of experience in eCommerce and digital marketing data science and analytics. Proficiency in SQL, Python, R, and advanced modeling, machine learning, and experimental design skills are essential, as is experience with cloud platforms, ML frameworks, and visualization tools. Familiarity with web analytics, digital KPIs, MLOps, and related technologies is vital. If interested, candidates are encouraged to submit their resumes for consideration.

Software Engineer with expertise in Python and C++. Knowledge of relevant Python frameworks such as FastAPI, Django, and Flask.

The role focuses on Python development, automation, AWS, and modern testing tools like Cypress and JMeter.

Opportunity to join the industries top AI Consulting firm // Working with the world’s top brands to execute data initiatives in artificial intelligence // FULLY REMOTE This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $185,000 per year A bit about us: We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team. This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack. The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers. This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Very generous PTO, • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: • Design and build robust and scalable ML solutions to meet business requirements., • Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production., • Develop and maintain data pipelines for large scale data processing., • Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation., • Implement best practices for ML development, including testing, documentation, and version control., • Collaborate with cross-functional teams to understand their needs and translate them into ML solutions., • Provide consulting services to internal and external stakeholders on ML best practices and solutions., • Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models., • Implement and manage CI/CD pipelines for ML solutions., • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field., • Minimum 5 years of experience in designing and implementing ML solutions., • Strong programming skills in Python and Scala., • Experience with data pipeline tools such as Spark and Snowflake., • Proven experience in consulting, with excellent communication and problem-solving skills., • Experience with infrastructure management tools such as Terraform and Docker., • Experience in setting up and managing CI/CD pipelines., • Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations., • Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges., • Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders., • Self-motivated and proactive, with the ability to work independently and as part of a team., • Strong desire to learn and stay updated with the latest advancements in the field of ML. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Very generous PTO, • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: • Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)., • Ensure the robustness, scalability, and enterprise-level security of solutions., • Collaborate with the data science team to transform prototypes into new products, services, and features., • Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation., • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity., • Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data., • Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices., • Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus., • Minimum of 6 years of experience as a Machine Learning Engineer or similar role., • Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting., • Proven experience in designing and implementing machine learning solutions at scale on AWS., • Solid experience in software development with a focus on quality, performance, and scalability., • Proven ability to design and implement robust data pipelines., • Strong experience with data modeling, data access, and data storage techniques., • Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders., • Strong problem-solving skills, attention to detail, and ability to think creatively., • Ability to work independently and as part of a team in a fast-paced, dynamic environment., • Strong passion for learning and adapting to new technologies., • AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy