Calibration Lab Engineer Jobs

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . At Wealthsimple, we take our clients' security seriously. The Fraud Investigations team is the front line of defense within our Security & Risk group. We are looking for a sharp, decisive, and detail-obsessed Team Lead to oversee a pod of Fraud Investigators. You won't be tied to just one type of fraud. As a Team Lead, you will be the player-coach guiding the detectives who protect our platform from everything from complex account takeovers to sophisticated money mule networks. You will act as the ultimate escalation point, drive team performance, and ensure our defenses stay one step ahead of the bad actors. What You Will Do: Manage the day-to-day operations of a pod of Fraud Investigators. Conduct 1:1s, run side-by-sides, and actively coach your team to elevate their investigative techniques and decision-making. Oversee complex fraud queues, ensuring the team strictly maintains case-closure Service Level Agreements (SLAs) without sacrificing investigative quality. Step in on the most complex, ambiguous, or high-dollar investigations. You are the final set of eyes when an investigator needs help navigating a tricky bank indemnity, a complex crypto trace, or a sophisticated identity ring. Lead weekly calibration sessions with your pod. Spot emerging fraud typologies across the platform, document trends, and partner directly with Risk, Com

Job Details: Job Description: The Role and Impact As a Manufacturing Technician Intern, you will play a critical role in supporting manufacturing operations by ensuring efficient equipment setup, monitoring production workflows, and conducting quality checks. Through hands-on experience, you will develop technical skills in troubleshooting and optimizing machinery, laying the foundation for a successful career in semiconductor manufacturing. This internship provides the opportunity to contribute directly to Intel's operational success while gaining valuable experience in a dynamic and collaborative environment. Business group Intel Foundry is dedicated to delivering innovative semiconductor manufacturing solutions that drive technological advancement and support Intel's broader goals. By joining this organization, you will become part of a team committed to operational excellence, enhancing production efficiency, and maintaining high standards of safety and quality in a fast-paced manufacturing environment. Key Responsibilities - Assist with the setup and calibration of manufacturing equipment to ensure operational readiness. - Monitor production processes to maintain performance metrics and adhere to quality benchmarks. - Conduct routine quality checks and accurately document inspection results. - Support troubleshooting and preventive maintenance tasks to minimize operational downtime. - Collaborate with engineering and operations teams to optimize workflows and enhance production efficiency. - Learn, apply, and adhere to safety protocols to ensure a secure and compliant workspace. - Participate in hands-on projects to develop technical expertise and deepen understanding of manufacturing systems. <p style="text-align:inherit

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp's Financial Crime Compliance (FCC) team is looking for a senior investigator ready to shift from running cases to scaling the systems that run cases. You've built real depth in TM Alerts, AML Investigations, Complex Fraud, and EDD Reviews; you know what a good escalation looks like, where analysts get stuck, and where automation actually holds up in production versus just looks good in a demo. In this role, you'll spend most of your time partnering with Engineering and the Head of FCC Tooling to turn that judgment into scaled AI systems: testing model outputs, labeling and calibrating results, and making sure every automated decision point is well-documented and properly governed. You'll stay close enough to FCC's day-to-day workflows and will partake in some of them, but this is fundamentally a builder role. What You'll Do Partner directly with Engineering and the Head of FCC Tooling on automation experimentation and AI initiatives across TM, sanctions, complex fraud, and EDD, moving prototypes from one-off calibration exercises

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you! What you'll do Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm Implement and scale data pipelines, new features, and algorithms that are essential to our production models Collaborate with the engineering, credit, and product teams to define requirements for new products What we look for 2+ years of experience as a machine learning engineer or PhD in a relevant field Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus Strong engineering skills in Python and data manipulation skills like SQL Experience using large scale distributed systems like Spark or Ray Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow Experience developing machine learning models at scale from inception to business impact Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams The ability to

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. CDD Reviews Team Our Customer Risk Review team is seeking an experienced Senior CDD Risk Analyst with a strong compliance and regulatory background and deep CDD knowledge. The core impact of this role lies in the opportunity and autonomy to translate complex regulatory requirements into scalable, day-to-day operational processes. Working cross-functionally with Quality Assurance, Compliance, and Commercial teams you will shape how our team works. What You’ll Do End-to-End Case Management: Manage periodic reviews for high-risk enterprise customers, from initial assessment through final remediation. This involves conducting in-depth due diligence, analyzing complex ownership structures, and adhering to all regulatory obligations and internal policies are met within strict timelines. Uphold Quality & Consistency: Maintain "First-Time-Right" accuracy, perform regular quality control checks for the team, upskill team members on quality standards, ensure accurate risk reasoning, follow SOPs strictly, and maintain high-quality decision-making across all casework. Peer Mentorship: Coach peers, guide the team through complex cases, support upskilling team quality, and foster a culture of proactive risk management. Policy Alignment & Operational Excellence: Lead calibration sessions to translate Second Line compliance requiremen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. CDD Direct Customer Onboarding Team Our Direct Customer Onboarding (CDD) team is seeking an experienced Senior CDD Risk Analyst with a strong compliance background and deep CDD expertise. In this role, your core focus centers on two key pillars: leading quality improvements (and quality control processes sign-offs) and directly managing high-complexity enterprise onboarding cases. Additionally, you will serve as a Subject Matter Expert (SME) and mentor, actively helping to upskill the team while collaborating cross-functionally with Quality Assurance, Compliance, and Commercial teams to streamline our onboarding process while safeguarding Adyen through strict regulatory compliance. What You’ll Do Complex Merchant Onboarding & Collaborative Problem-Solving : Autonomously lead the onboarding process for Adyen’s most strategic and complex enterprise merchants. Conduct multi-jurisdictional due diligence, dissecting opaque corporate structures, and mitigating risks associated with PEPs, sanctions, adverse media, and high-risk industries. Regulatory Interpretation & Policy Alignment: Translate complex second-line compliance policies into actionable first-line operational procedures and lead calibration sessions to ensure consistent application across the team. Uphold Quality & Consistency: Maintain "First-Time-Right" acc

Job Details: Job Description: Intel is one of the world's leading semiconductor companies, driving innovation across computing, connectivity, and manufacturing. With a legacy of technological excellence and a bold vision for the future, Intel is committed to pushing the boundaries of what's possible — from the chip to the cloud. Our Advanced Packaging Technology Development – Substrate and Wafer Assembly (ATPD: SWA) organization is at the forefront of delivering innovative, cost-effective packaging solutions that power the next generation of technology. At Intel, we believe in investing in our people, fostering a culture of continuous learning, and empowering every team member to make a meaningful impact. We are looking for a skilled and motivated Manufacturing Equipment Technician to join our ATPD: SWA team in Arizona. In this role, you will be responsible for maintaining, troubleshooting, and optimizing advanced electromechanical equipment that is critical to Intel's semiconductor manufacturing operations. Your work will directly contribute to Intel's manufacturing innovation, production efficiency, and global competitiveness. This is an exciting opportunity to work with cutting-edge technology in a world-class cleanroom environment while growing your technical career at one of the most recognized names in the semiconductor industry. Shift Information This role operates on Shift 7: 6:00 AM – 6:18 PM on an alternating weekly schedule: Alternating 3-Day (Thu/Fri/Sat) and 4-Day (Wed/Thu/Fri/Sat) work weeks Key Responsibilities: Troubleshoot and resolve electrical and mechanical issues across a range of advanced manufacturing equipment. Perform equipment setup, calibration, and both corrective and preventive maintenance, with a f

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Role Summary We’re hiring a strategic, hands-on Country Account Management Lead for Poland, based in Warsaw, to lead and scale our account management function. You’ll lead the Poland account management team, guide its day-to-day work and advise the team, and bring structure while working on the ground. You’ll be accountable for gross value growth, adoption of new products and team performance. This is a leadership role: you’ll set the country strategy, work with senior stakeholders from other teams, and take part in top management quarterly business reviews. What you’ll own Strategy & Vision: Define and execute the account management strategy — segmentation, coverage model, lifecycle motions (onboarding, adoption, retention, growth), and long-term roadmap, including pricing, discounts and exclusivities for Poland. People Leadership: Lead the Poland team and guide its day-to-day work. Hire, coach and develop high-performing team members; run regular 1:1s, calibration, and career planning. Operational Excellence: Build standard operating procedures, playbooks, KPIs, forecasting cadence, quota & incentive design, and capacity planning for the channel. Revenue & Retention: Own revenue retention, expansion (upsell/cross-sell), and churn re

About Us Tamara is a leading fintech platform in Saudi Arabia and the GCC region with a mission to help people own their dreams built on being simple, trusted, and everywhere our customers need us. Today, more than 25 million customers and over 130,000 partner merchants depend on Tamara every day for reliable financial solutions across retail, travel, education, healthcare, and beyond. Tamara is backed by Sanabil Investments, a wholly owned company of the Public Investment Fund (PIF), and SNB Capital, among others. Your Role As a Trust & Safety Quality Analyst , you will be responsible for the end-to-end quality assurance (QA) framework within the Trust & Safety department. You will evaluate the work of Fraud Investigators to ensure they meet our rigorous standards for accuracy, regulatory compliance, and customer experience. Responsibilities QA Framework Design: Develop and refine the Quality Assurance scorecard and evaluation methodology for both Consumer and Merchant fraud investigations. Operational Calibration: Lead weekly "Deep-Dive" sessions with Team Leads and Investigators to align on decision-making logic. You are responsible for ensuring there is zero "quality variance" across different shifts and locations. Feedback & Coaching: Deliver constructive, data-driven feedback to Investigators and Team Leads. You will facilitate "calibration sessions" to ensure all team members are aligned on what "high quality" looks like. Root Cause Analysis: When a fraud loss occurs, you lead the "Operational Post-Mortem." You identify if the failure was a human error, a training gap, or a tool malfunction, and you drive the immediate fix. Process & Product Improvement: Partner with Product and Engineering teams to advocate for tool enhancements. Use quality data to suggest product features that reduce manual work, improve detection accuracy, and automate repetitive verification steps. High-Risk Decision Support: Provide guidance on complex, high-stakes inves

Senior Low Observables Design & Integration Engineer - Pole Model Company: The Boeing Company Come join a winning team and support the development of Boeing’s Next Generation Air Dominance (NGAD) platforms. The Boeing Defense, Space & Security (BDS) - Phantom Works organization is seeking a Senior Low Observables (LO) Design & Integration Engineer to lead design and analysis activities supporting the fabrication and test of an RCS pole model. The successful candidate will apply deep expertise in LO materials, integration, manufacturing, computational electromagnetic (CEM) modelling, and test support to design, build and test a representative pole model for an advanced next generation program in the St. Louis region. Key Responsibilities: Lead detailed LO design and integration for the RCS pole model, including material selection, incorporation of advanced technologies, supplier hardware integration. Use computational electromagnetic solvers to model, analyze, and optimize radar cross section (RCS) and scattering behavior across required frequency bands and aspect angles in support of pre-test predictions and diagnostics. Work with Manufacturing to ensure proper alignment between design, analysis and fabrication of LO components. Define and support fabrication processes, QA checks, and build plans for LO skins, coatings, RAM treatments, and attachments; identify and mitigate manufacturability risks, provide LO liaison support to the shop. Develop and execute test plans for RCS characterization (anechoic chamber and outdoor ranges), including instrumentation, calibration, and measurement repeatability considerations. Prepare and execute data processing workflows to reduce, calibr

Work Flexibility: Onsite What you will do As a Quality Assurance Representative, you will perform incoming, in-process, and final quality control inspections of components, assemblies, and electromechanical products while ensuring products and documentation meet established specifications, quality standards, and regulatory requirements. Conduct incoming, in-process, and final quality control inspections of components, assemblies, electromechanical products, and completed customer orders using established inspection procedures and specifications. Perform routine, non-routine, and advanced inspections using calibrated gauges, meters, calipers, measurement tools, and other inspection equipment, including close-tolerance measurements. Review inspection and testing documentation, Device History Records, packaging, labeling, product literature, and revision levels for compliance with specifications and Good Documentation Practices. Interpret engineering drawings, blueprints, and schematics to complete accurate inspections and verify product requirements. Document inspection results, identify and report nonconformities or abnormalities, and work with Quality, Operations, Materials, Engineering, suppliers, and other partners to resolve quality issues. Maintain inspection equipment and work areas in accordance with calibration, line clearance, quality, and documentation requirements. Train and provide inspection technique, process, and procedure guidance to other Quality Control Inspectors. Support internal and external audits, quality improvement projects, inspection plan updates, non-standard inspection activities, and testing activities such as Production Part Approval Process and Gage Repeatability and Reproducibility studies. What you will need Required High sch

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are seeking a Principal Analog Design Engineer to lead the design, integration, and delivery of advanced analog and mixed-signal IPs for High Bandwidth Memory (HBM) products. This role is critical in developing and integrating high-performance analog subsystems within the HBM logic die, enabling industry-leading bandwidth, power efficiency, and reliability. As a principal engineer, you will provide deep technical leadership across analog design, IP integration, system alignment, and silicon execution, driving end-to-end success of HBM solutions. Responsibilities will include, but are not limited to: Lead the design and own critical HBM analog circuits, including: High‑speed transmitters and receivers Clock generation and distribution (PLLs, DLLs, CDRs) SerDes‑related analog blocks Biasing, reference, and calibration circuits Power delivery and regulation circuits (LDOs, regulators) Define and lead IP interfaces, power domains, clocking schemes, and reset strategies across subsystems Perform detailed pre‑layout and post‑layout simulations Conduct PVT, Monte Carlo, mismatch, and aging analyses Work closely with layout engineers to define floorplanning and symmetry requirements, ensure matching, shielding, and EM/IR compliance Review and sign off on analog layouts Drive layout‑aware build optimizations for advanced nodes <

Work Flexibility: Hybrid or Onsite Join our engineering team in Advanced Operations and help ensure the accuracy, reliability, and effectiveness of measurement and inspection processes that support product quality and manufacturing excellence. In this role, you will apply your metrology expertise to support engineering, quality, operations, and supplier quality teams while contributing to continuous improvement initiatives and the adoption of advanced inspection technologies. What You Will Do Support metrology and engineering research activities, including the evaluation and implementation of new measurement and inspection technologies. Conduct and analyze measurement system studies, inspection data, and gauge repeatability and reproducibility assessments to help optimize manufacturing processes. Develop and improve metrology tools, methods, and processes that increase measurement capability and reduce inspection-related variation. Provide technical guidance to engineering, quality, operations, and supplier quality teams on measurement methods, inspection strategies, and measurement-related issues. Create, validate, maintain, and troubleshoot coordinate measuring machine (CMM) inspection programs and related inspection software. Support investigations related to complaints, nonconformances, and corrective actions through inspection, measurement analysis, and technical expertise. Review CAD models and engineering drawings, applying geometric dimensioning and tolerancing (GD&T) principles to support product development and manufacturing. Maintain metrology procedures, including measurement system analysis documentation, and support inspection and calibration activities for measurement equipment and custom gauges. What You Will Need Required Qualifications Bachelo

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As the Facilities Operations Supervisor at SpaceXSI Memphis, you will oversee the maintenance and performance of critical data center infrastructure, including power, cooling, and environmental systems. You will lead a team of Facilities Operations Technicians, driving hands-on technical operations, team leadership, process optimization, and cross-functional collaboration to ensure the reliability and efficiency of our data center. This role emphasizes fostering a team-first culture, prioritizing team focus, and promoting a collaborative work environment. RESPONSIBILITIES: Lead and mentor a team of Facilities Operations Technicians, fostering a culture of excellence, collaboration, and continuous improvement. Oversee maintenance, monitoring, and troubleshooting of data center infrastructure, including HVAC, power distribution, and backup systems. Develop, implement, and optimize preventive maintenance schedules, equipment calibration, and system performance monitoring. Create and enforce standard operating procedures (SOPs) to ensure operational consistency and efficiency. Ensure compliance with safety regulations and industry standards. Collaborate with engineer

About the Team Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping researchers assess changes and improve models and products. We work closely with research teams to develop useful measurements and make them practical to run. Our work spans classifier development, rigorous evaluation, and efficient production inference, with ownership from initial experimentation through deployment and continued improvement. About the Role We’re looking for a machine learning engineer to develop new classification and evaluation capabilities and bring them into production. You’ll help turn open-ended questions about model behavior into well-defined ML problems, build methods that address them, and establish how reliably those methods work. This role combines traditional machine learning, model evaluation, and real-time engineering. You’ll own classifiers throughout their lifecycle, including supervised fine-tuning, distillation, evaluation, deployment, and production inference. You’ll work closely with researchers to identify valuable problems and with software engineers to make promising approaches useful at scale. In this role, you will: Build, deploy, and operate production classification and evaluation systems that provide useful feedback to post-training and research teams. Optimize production inference, including model serving, batching, caching, throughput, latency, compute utilization, and cost. Train and optimize classifiers using supervised fine-tuning and distillation, validating quality and efficiency before deployment. Own the reliability and observability of deployed classifiers, diagnose production issues, and improve their performance over time. Design rigorous evaluations that assess accuracy, calibration, generalization, and potential measurement bi