Production Line Management Engineer Jobs

** Remote - Canada ** Who Are We? Thanx is a leading loyalty and guest engagement platform for restaurants. Thanx helps regional and national restaurant brands grow customer lifetime value with easy-to-use lifecycle marketing automations and innovative customer loyalty tools focused on access, status, and personalization over rote discounts. Thanx’s proprietary credit card tokenization technology dramatically increases the volume and accuracy of purchase data which sits at the core of our CRM suite of tools and our app and web-based ordering experiences deliver industry-leading conversion and repeat purchasing. We were named to Nation’s Restaurant News “2020 Power List” as one of the 50 most influential innovators in food-service. Thanx has gained the investment of prominent venture and growth equity luminaries, having raised more than $30M from elite investors such as M33 Growth, Ribbit Capital, and Sequoia Capital. Core to our success is a culture that has attracted some of the best talent from across the country; we are proud of incredibly strong employee tenure, track record of internal promotions, and impressive alumni network. We credit our cultural “core behaviors” with these accomplishments: Think Boldly, Execute Reliably, Focus on What Matters, Say “Thanx” Genuinely, Encourage Diverse Perspectives, and Lead, Virtually. Key Responsibilities Build scalable, maintainable software solutions across the entire stack Develop using AI augmented workflows. Our engineers use Claude Code as their primary development tool with MCP connections to production data, Jira, Notion, Sentry, and Datadog. We expect engineers to actively leverage and improve these workflows. Diagnose bugs and address root causes to enhance stability; participate in on call rotations Actively engage in code reviews and technical discussions Systematically identify and mitigate technical debt Stay current with emerging technologies and participate in learning opportunities Core Require

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Senior Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have p

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking a Senior / Staff Mechanical Engineer to design, develop, and refine mechanical systems and components for cutting-edge robotic products. You will collaborate with multidisciplinary teams to create reliable and high-performance robotic solutions. This role offers an opportunity to push the boundaries of robotics technology while working on projects with real-world applications. Responsibilities Design and develop mechanical systems for AI robots. Collaborate with cross-functional teams to integrate mechanical, electrical, and software components. Conduct feasibility studies and simulations to evaluate designs. Create engineering drawings, specifications, and documentation for manufacturing. Work closely with vendors to design and develop various modules. Perform prototype fabrication, testing, and validation to meet performance, reliability, and safety standards. Requirements Master’s degree or PhD in Mechanical Engineering, Robotics, or related field. 5+ years of experience in mechanical design, preferably in robotics or automation. Proficient in CAD software (e.g., SolidWorks, AutoCAD). Strong understanding of materials, manufacturing processes, and mechanical systems. Experience with FEA and other simulation tools. Proven track record of leading projects from concept to production. Excellent problem-solving, communication, and collaboration skills. Requires 5 days/week in-office collaboration with the teams. Bonus Qualifications Experience with robotics, mechatronics, or automation. Familiarity with actuators, sensors, and control systems. Rapid prototyping techniques. Knowledge of regulatory compliance and safety standards in robotics. Benefits Competitive stock options/

P-1348 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Staff Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product. The impact you will have: Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance. Design and run the cross-c

P-1348 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Senior Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product. The impact you will have: Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance. Design and run the cross-

About the Team The security team at Meesho is like the Avengers to Meesho's S.H.I.E.L.D. After all, when 5% of Indian households shop with us, it’s important to build resilient systems to manage millions of orders every day. We’ve done this – with zero downtime! 😎 Sounds impossible? Well, that’s the kind of Engineering muscle that has helped Meesho become the e-commerce giant it is today. We value speed over perfection, and see failures as opportunities to become better. We’ve taken steps to inculcate a strong ‘Founder’s Mindset’ across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. As a Security Engineer, you will be part of self-starters who thrive on teamwork and constructive feedback. We know how to party as hard as we work! If we aren’t building unparalleled tech solutions, you can find us debating the plot points of our favorite books and games – or even gossiping over chai. So, if a day filled with building impactful solutions with a fun team sounds appealing to you, join us. About the Role As a Security Engineer 4, your role is integral in ensuring the security of our products throughout their development lifecycle. You will be involved from the very beginning, participating in threat modeling and design reviews to identify potential risks early. You'll also integrate and manage SAST tools within our CI/CD pipeline, ensuring continuous security testing as code evolves. Additionally, you'll lead and conduct vulnerability assessments and penetration testing (VAPT) to proactively uncover and address security vulnerabilities before they reach production. What you will do Lead and manage all aspects of the Secure Software Development Lifecycle (SDLC). Implement and manage security tools within the CI/CD pipeline (DevSecOps). Conduct and oversee VAPT for web applications, APIs, iOS, and Android apps.<

About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Applied Foundations team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability. Integrity Foundations provides the core building blocks and infrastructure for this work. About the Role At OpenAI, our mission is to advance AI in a way that is safe, reliable, and aligned with broad societal values. The applied foundations role is crucial for maintaining the trustworthiness of our platforms. You will be pivotal in developing robust defenses against a spectrum of adversarial behaviors that threaten our ecosystem. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. In this role, you will: Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting. Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems. You might thrive in this role if you: Have at least 3 years of professional software engineering experience. Have experience setting up and maintaining production backend services and data pipelines. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Are self-directed

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s the opportunity? We are looking for a Senior Engineer to join the team that enables the core technologies that Fin is built on . This role is especially compelling for engineers who enjoy scaling Elasticsearch in production and who also like working across adjacent systems such as MySQL, ingestion pipelines, and owning how they operate from low level systems engineering to all parts of our Rails and monolith. Our team’s mission is to accelerate Fin’s growth and stability through educated and operationally excellent core technology usage. This means that we’re here to help product engineers and ML scientists build simpler, more performant product - faster. This can be through things like making low level database improvements that enhance everyone's experience, building best in class Elasticsearch tooling, or partneri

About us At Design Bridge and Partners, part of WPP, we design brands with the power to move. Pulling people towards them with an irresistible force that compels and connects. With 900 creative minds across 17 studios worldwide, diverse in expertise, experience, backgrounds and beliefs, we are united in our ambition to achieve real impact for our clients’ brands benefiting their business, people and the planet. With expertise across brand strategy, brand design, brand engagement and brand effectiveness our clients across the world include NASA Artemis, Unilever, Coca-Cola, Diageo, Mastercard, Intel, HSBC, Tencent, Twitch, Heineken, Reckitt and the BBC. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com . About the role We’re looking for a Senior Designer for our Singapore studio who can work on the full spectrum of creative projects – visual identity, packaging, campaigns, activations, brand guardianship and more. About you You will already have worked in a similar role for around 5–8 years, with a range of brand design experience for clients in the APAC region, and your portfolio will be full of inspiring examples of your work across multiple touchpoints - visual identities to packaging

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a Hardware Engineering Intern at Verkada, you’ll contribute to the design and development of new cameras, access control systems, sensors, and other enterprise IoT products. Verkada’s Hardware Engineers own all aspects of the electrical design from prototype through to mass production. You’ll make a big impact — your designs will be a part of future products that Verkada ships. This is a full-time internship, in-person role based in our San Mateo, CA office. What You'll Do Partner with experienced engineers to design, debug, and validate our hardware products. Design and execute experiments to test new circuit concepts. Schematic capture and layout for systems and/or test boards. Learn to work with our manufacturing partners to drive ongoing improvements to efficiency. What You Bring Pursuing a degree in Electrical Engineering or

About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We are looking for an experienced Research Engineer to work on retrieval & search problems across our API and ChatGPT. As the AI landscape has evolved over the last few years, retrieval & search have emerged as key use cases for our models, and we are investing in ensuring that we can offer these search-based product experiences for our users. You will be at the center of our retrieval & search efforts as a company, and the progress you drive here will reach millions of end users. In this role, you will: Work on retrieval & search algorithms and methodologies in close collaboration with our research team, including problems in such domains as document search, enterprise search, knowledge retrieval, and web-scale search. Deploy these search methodologies into production in both the API and ChatGPT to be used by millions of end users. Explore novel research topics in retrieval & search that may inform our product strategy in the medium and long term. Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world You might thrive in this role if you: Have extensive prior experience building and maintaining production machine learning systems. Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases Have prior experience building and iterating on internet-scale search systems Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or de

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje About The Team: You’ll join Prodigal’s Strategy & Operations team, the consulting and services arm of the company. We partner with lenders (Banks, NBFCs & BNPLs etc.) and debt collection agencies to transform how they engage consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of product, dat

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About this Role As a Hardware Engineer on our hardware team, you will lead the design and development of Verkada’s newest products. Verkada’s Hardware Engineers own all electrical engineering design and validation aspects, working directly with our JDM partners to ship cutting-edge products. This is a full-time, in-person role based in our San Mateo, CA office. What You'll Do Lead electrical engineering for new products from initial proof of concept through to mass production. Collaborate with US and an international team of hardware engineers, mechanical engineers, industrial designers, software engineers and product managers to develop new products. Own component selection, schematic and layout development based on the architecture you have created. Own and maintain Hardware Requirements Document, ensuring it

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods Databricks and drives the future direction of the products. The impact you will have: “ Analysis at the speed of thought ”: Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists. “ Extend capabilities of Databricks ”: Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product “ Strategic bus

Who we are ? Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Over the last few years, Data Science at Artefact Morocco has skyrocketed in terms of novel projects coupled with a growing diverse team. We tackle use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics & Statistics for Machine Learning and Deep Learning, with a recently strong focus on Generative AI. Responsibilities : In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to: Qualify the feasibility of Use Cases, translating business challenges into technical formulations Define the business and statistical hypothesis, and build the solution followed by testing and validation For those Use Cases that are validated, you will help develop a production-ready solution. When consulted on a business challenge, you propose adequate AI or machine learning options to address this need. You act as an expert on the best algorithm to c