Track Engineer Jobs

At Lyft, our purpose is to serve and connect. Lyft Urban Solutions designs, builds, and operates bikeshare systems in more than 50 cities worldwide, including New York, Chicago, London, Barcelona, Mexico City, Rio de Janeiro, and Montréal. Our Longueuil facility is the birthplace of BIXI, North America's first automated bikeshare system, and today builds the bikes and stations behind some of the world's largest bikeshare networks. We are looking for a Hardware Field Quality Engineer Intern to join our Field Quality team at our Longueuil facility. Once our bikes, e-bikes, batteries, and stations leave the factory, Field Quality owns how they hold up in the real world: millions of rides, all four seasons, in cities across the globe. You will work alongside field quality engineers to help spot emerging hardware issues, investigate their root cause, and support fixes with engineering, manufacturing, and market operations teams. You will spend time hands-on with failed parts in the lab, and just as much time in the data working out how big a problem really is. Responsibilities: Support failure analysis on parts returned from the field, including requests from enterprise customers, by helping with teardown, inspection, and electrical testing and documenting findings with photos. Help monitor field data, such as vehicle and station alerts and repair records, and flag emerging issues to the team. Build and update dashboards and queries that track reliability metrics and retrofit progress. Assist with field retrofit campaigns by helping identify affected units and tracking progress. Help review repair SOPs and troubleshooting guides used by market mechanics, and suggest improvements. Contribute to field failure investigations in Jira, working with engineers on root cause and corrective actions. Experience: Currently enrolled in a Bachelor's or Master's program in Mechanical, Electrical, Mechatronics, or Industrial Engineering, or a related field, at a Canadian university, gr

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As our Security Operations Data Loss Prevention (DLP) Engineer, you will own and elevate Everpure’s enterprise data protection strategy across every digital and physical vector. In this high-impact individual contributor role, you will establish data governance standards and architect practical controls that safeguard customer information, source code, intellectual property, and other sensitive assets without hindering business velocity. You will partner with Engineering, Legal, Privacy, DevSecOps, and GISO leadership to define how sensitive data is discovered, classified, monitored, and protected across the enterprise. WHAT YOU'LL DO Architect Enterprise DLP Strategy: Own and mature the multi-channel DLP program end to end across endpoint, network, SaaS, application, cloud, and generative AI environments. Define program metrics, track outcomes, evaluate build-versus-buy decisions, and report data-protection posture to GISO leadership. Establish Data Standards & Governance: Author data-classification frameworks, handling requirements, and exception processes. Maintain a sensitive-data map with data owners so the organization understands where regulated and proprietary data lives, how it is classified, and who is accountable for it. Protect Endpoints & Physical Channels: Design and operate controls across macOS, Windows, and Linux, including removable media, printing, clipboard, screen capture, and local cl

At Zoox we have set the goal to provide our customers with the highest level of safety while using our fully autonomous vehicles. As a member of the Zoox Vehicle Safety Engineering team you will work with a team of world-class engineers with diverse backgrounds such as robotics, control, and vehicle engineering. You will be responsible for developing occupant protection system performance and you will be involved all the way through the complete vehicle development process from conception to part, system and full vehicle crash testing. You will be working closely with our internal and external safety experts, CAE and module system teams, with our suppliers as well as internal and external test laboratories. Working at Zoox offers you the chance to manifest your technical creativity, utilize your excellent organizational and communication skills and make a big difference in the final product. In this role, you will: Own assigned load cases end-to-end: translate vehicle technical specification (VTS) safety targets into testable metrics, and drive restraint system development through the vehicle integration process to meet them Develop virtual and physical DVPs and track execution against plan Analyze test results, feedback analysis to engineering teams, and report out at project gateways Support system-level and full-vehicle test activities, including defining test requests, test matrix, instrumentation and test targets with the support of the validation team Identify and document performance issues; generate and track Jira tickets to closure Drive CAE-to-physical test correlation for your load cases Qualifications BS or MS in Engineering with passion for electric, autonomous mobility 5+ years of experience within automotive development and testing, preferable safety testing Sound knowledge of FMVSS regulatio

Talkdesk is seeking a Sr. Technical Support Engineer who thrives at the intersection of deep technical troubleshooting and high-level customer consulting. In this role, you aren’t just closing tickets; you are a strategic partner to our clients, an advocate for their needs internally, and a developer of tools that make our entire support engine run smoother. You will be the bridge between our customers and our Engineering, Product, and Professional Services teams, ensuring that complex technical challenges are met with elegant, scalable solutions. Key Responsibilities Technical Leadership & Triage Advanced Troubleshooting: Lead Talkdesk’s most intricate support tasks. Outline reproduction steps, drive issues to resolution, and manage customer expectations with clarity. Escalation Management: Serve as the definitive point of contact for issues escalated from Tier 1 or Client Services, ensuring timely resolution. Developer Advisory: Act as the primary technical contact for partner and user developers, comfortably navigating and advising on custom solutions and integrations. Efficiency & Innovation Tool Development: Identify recurring manual tasks and develop internal tools or scripts (JavaScript, etc.) to automate the team’s most time-consuming workflows. Process Optimization: Leverage strong technical acumen to dynamically identify processes and technical solutions for unexpected or high-pressure situations. Customer Advocacy & Success Voice of the Customer: Identify and synthesize customer feedback to act as a strategic advocate to internal Product and Engineering teams. Strategic Consulting: Develop trust with client leadership to remove roadblocks, formulate best practices, and document functional/technical requirements. Risk Mitigation: Work closely with customers to track work progress and create strategies for risk mitigation and contingency planning. Feature Demonstrations: Conduct engaging demos of feature enhancements for both new and existing cu

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role Block's Support ML Modeling team is a central driver of innovation in customer support experiences across our entire ecosystem—including Cash App, Square, and other business units. We are dedicated to advancing the state of intelligent, automated support through machine learning and generative AI. From customer-facing chatbots to smart internal tools for agents, our team builds high-impact, scalable systems that improve support quality, efficiency, and accessibility. We're building the future of support at Block: one powered by AI, voice interfaces, and smart automation. We're looking for candidates with a passion for intelligent systems, practical ML experience, and a desire to build product-driven solutions. Our ideal candidate is a leader in the field, with a proven track record of building ML systems that can accelerate our ability to scale our conversational AI initiatives. You Will Lead the end-to-end delivery of multiple ML initiatives, from planning and design through rollout, documentation, and long-term maintenance Partner strategically with risk, product, engineering, design, and operations leaders to define and drive long term ML roadmaps, informed by domain expertise and industry trends Guide the team’s direction, identifying new ML/AI opportunities and advising leadership on strategic trade

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department People Who You Are Reporting to the Senior Manager, People Strategy Operations, the Senior AI Enablement Engineer, People, is a technical founder embedded within the People function. You have a track record of shipping internal tools and AI-powered workflows that people actually use. You're as comfortable mapping a team’s AI gaps and designing a solution as you are vibe-coding a working prototype with an AI agent. You're insatiably curious and never satisfied with the status quo — you operate with urgency and agency, center the customer in every decision, and make every team you join better. You think in systems, move fast, and know how to bring people along without manufacturing consensus. You don’t need to come from HR. You need to care about building tools that make people’s work lives better. This is a true engineering role. We are looking for someone with production experience shipping AI systems — not someone who uses AI tools, but someone who builds them. Senior here means senior by organizational reach and shipped impact, not by years of CS experience. Your Success Profile What You Will Work On Building the Cor

What you’ll do Own the tissue-class segmentation and labeling models for the ultrasound CT clinical analysis layer, and the pipelines that make them trainable and verifiable. Retune across 2D per-slice, 3D volumetric, and 2D×3D fusion as reconstructed image inputs are continuously updated, and clinical indications for use expand. Define training/evaluation pipelines, datasets, and metrics from the ground up or from open source; map model behavior to user needs and design requirements. Work with data labeling contractors, expert clinicians, and our internal cloud/data teams on labeling specs, QC, and dataset versioning. Help productionize models into a versioned, HIPAA-bound analysis service: reproducible/low-latency inference, per-prediction confidence, drift monitoring, and safe fallbacks. What we’re looking for Strong applied ML experience with a track record of developing new models — architecting, training, and evaluating from scratch as well as benchmarking against existing models. Experience with image segmentation (semantic/instance, 2D and ideally 3D/volumetric) and the modeling and training-data choices that make it robust across diverse patient anatomy. Comfortable moving fluidly between open-ended research iteration and producing quantifiable, testable models. Fluent in modern deep-learning tooling (e.g., PyTorch) and current development practices. Comfortable working under design controls, where model changes carry documentation and verification weight. Useful experience Image segmentation and label generation with modern architectures (U-Net / nnU-Net, 3D U-Net, transformer-based and promptable segmentation like SAM), including the geometry that ties voxel- and mesh-level predictions back to a coordinate frame. Learning under limited or noisy supervision: self-supervised / semi-supervised methods (masked autoencoders, contrastive pretraining like DINO/SimCLR), active learning, weak labels, and simulation-driven pretraining. Hands-on experience with data

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. Join Micron as a Senior Fire Protection Systems Engineer and work on challenging projects driving innovation in fire protection engineering. Your role will be pivotal in managing and accomplishing fire protection engineering projects on-site. You will ensure flawless construction quality, strict consistency to schedules, uncompromising safety standards, effective cost control, and successful implementation of acceptance procedures. Responsibilities Manage on-site construction based on fire protection drawings and technical specifications such as automatic sprinklers, fire alarms, fire compartmentation, and smoke exhaust systems. Supervise and coordinate subcontractor work quality and progress, ensuring compliance with builds and regulatory acceptance standards. Plan, complete, and track construction schedules, regularly reporting progress and cost performance. Coordinate interfaces among civil, electrical, plumbing, and fire protection trades, resolving conflicts and schedule disruptions. Handle fire protection submissions, functional tests, coordinated tests, and acceptance procedures, compiling related documentation. Requirements At least 2 years of experience in fire protection or MEP site management, including a minimum of 2 completed fire acceptance projects. Familiarity with fire protection submissions, functional and coordinated testing, and acceptance processes, alo

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. About the Role & Team Everpure acquired Portworx to create the industry's most complete Kubernetes Data Services Platform for cloud-native applications. In this role, you will be supporting multi-cloud data services for Kubernetes and containerized workloads, enabling leading enterprises to run mission-critical data applications smoothly across public and private clouds. WHAT YOU'LL DO Analyze & Support: Troubleshoot and support large-scale customer deployments in public/private clouds across all severity levels. Technical Expertise: Provide hands-on guidance during all deployment phases, POCs, pre-sales calls, and production environments for key accounts. Cross-Functional Collaboration: Partner with engineering teams to analyze logs, reproduce complex customer issues, and develop long-term fixes. End-to-End Ownership: Track customer support cases end-to-end, triage multi-layer software stack issues, and escalate to core engineering when needed. Knowledge Sharing: Author and maintain KB articles, FAQs, and technical documentation for internal teams and customers. WHAT YOU BRING Experience: 2 - 4+ years in customer-facing technical support or Site Reliability Engineering (SRE). Containers & Orchestration: Solid working knowledge of Kubernetes, OpenShift, Tanzu, or VMware container solutions ( CKA certification is a plus ). Cloud Platforms: Hands-on experience with AWS, Azure, GCP, or related cloud technol

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Engineer (PHD Holder Only) 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PHD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. Strong logical thinking and problem-solving ability, able to independen

About the Team The Emerging Products team is a lean, high-output product lab group that builds products at the forefront of model capabilities. We collaborate across all teams within the company, from research and infrastructure to consumer products. The team is responsible for identifying new product opportunities, building them quickly, dogfooding them internally, and then launching the successful products to users. We use data, user research, and analytics to inform our ideas, and make decisions on what experiments are worth iterating, stopping, or scaling. About the Role We’re looking for a senior, product-minded software engineer to own ambiguous 0-to-1 work from idea through prototype, validation, and handoff. This is a full-stack role with a strong frontend and product emphasis: you will build the interfaces and supporting backend systems needed to test new experiences quickly, while making sound architectural choices that enable successful concepts to scale. This role is based in our Mission Bay office in San Francisco. In this role, you will: Build and ship high-quality, product experiments across the full stack. Turn ambiguous user needs and emerging technical capabilities into testable product concepts, using research and metrics to guide iteration. Own technical direction for 0-to-1 projects, balancing speed, reliability, and a clear path from prototype to scalable product. Partner closely with design, product, research, and engineering teams to dogfood, evaluate, launch, and transition successful experiments. You might thrive in this role if you: Have a track record of building and shipping end-to-end products in fast-moving, startup, founder-led, growth, or other high-ownership environments. Bring strong frontend engineering skills and enough backend and systems depth to make sound full-stack architectural decisions. Pair product intuition with evidence, using user research and product data to identify opportunities and make pragmatic tradeoffs. Operat

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Contract Student Worker Program Zoox's contract student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview Create flexible framework dashboards that can accommodate multiple KPI elements. Incorporate new KPI's as needed and continuously seek to improve dashboards Responsibilities Support of Vehicle Engineering Dashboard project, including: Interviewing managers to understand what metrics they need to track Gap Analysis: Work with Zoox internal data team to identify existing dashboard platforms and data sources. Develop plans to collect data to track items not currently covered. Collaborate with IT: To establish mechanisms to push standard and custom dashboards to targeted people and to public screens Document process, findings and future plans Required Qualifications Mathematics, Any Engineering Discipline, Technical backgrounds, Information design or UI/UX Bonus Qualifications Specialty or Prior Experie

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own the critical backend services that ensure safety on the token generation path, and we own the operational work of getting those systems safely into production: standing up safeguards for every new model launch, and deploying new safety classifiers as they ship. Every frontier model release runs through this team – we configure, verify, and roll out safeguards across every platform Claude runs on (1P, AWS Bedrock, GCP Vertex, etc.), and we lead incident response when issues arise. This role sits at the center of that operational work. You'll ensure safeguards are properly configured and deployed for model launches and own the off-cycle deployment of new safety classifiers — canarying changes, verifying that the right safeguards are provably live on the right models, and holding rollback authority when something looks wrong. Every launch should also shrink the checklist, and the manual verifications should evolve into a system that runs itself. You'll turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. We're looking for engineers with deep experience in production change management at scale — people who have owned deploy pipelines, config management systems, rollout safety, or launch readiness for systems under real production pressure. Familiarity with ML research or transformer architectures is not required — you will learn that on the job. What we prioritize is production judgment: a track record of shipping cha

Zoox is seeking a high-agency, hands-on Lead Data Platform Engineer to architect, optimize, scale and own the next generation of our enterprise & AI data foundation. In this role, you will architect a high throughput, data fabric that unifies data across Zoox and downstream AI agents. You will drive performance tuning, cost optimization, RBAC, data governance and CI/CD pipelines to deliver secure, low-latency, 'AI-ready' data foundations across the organization. You will serve as the primary technical driver for our data platform, designing autonomous frameworks, building scalable data infrastructure and establishing strict standards for security and developer velocity. This is an engineering-intensive leadership role for a builder who thrives on solving complex challenges. In This Role, You Will... Scaling self-healing data pipelines that automatically handle schema evolution, detect anomalies, execute circuit breakers and recover from failures without manual intervention. Define and enforce company-wide data governance, access, automated data quality testing, schema evolution policies and metadata management to maintain high-fidelity data assets. Implement intelligent storage lifecycle strategies, resource throttling and query optimization to minimize compute overhead while delivering high-throughput, low-latency data access for analytics and AI agents. With a focus on Databricks vs EMR (AWS) cloud optimization (cost and performance). Build automated CI/CD deployment templates, environment isolation, testing frameworks and version control standards, enabling rapid, reliable and zero-downtime deployments Qualifications 10+ years of hands-on experience in Data Platform Engineering or Software Engineering with a proven track record of architecting and scaling production-grade data foundations. Deep expertise in scaling and optimization, query tuning, compute resource allocation and impl