Lead Manager I 2c Engineering Code Coverage Salary India in Canada

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi. A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine. You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams. Responsibilities: Design and build scalable, high throughput, and low latency distributed systems using Scala Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art. Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc. Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. Your Background: Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM b

About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What You’ll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring

The Opportunity We're hiring a mid-level Product Designer to be the creative partner behind Enigma's go-to-market efforts. Our identity is mid-refresh, so this isn't a role that only applies to our existing design system, you'll help systematize its evolution. You'll work directly with our marketing lead (a generalist across channels and strategy) to turn GTM ideas into campaigns, web pages, sales collateral, and social content. What You’ll Do Shape GTM creative, don't just execute it. Partner on campaign concepts and go-to-market ideas, bringing your own point of view rather than filling in a pre-set brief. Systematize the brand system. Contribute to Enigma's brand organization including but not limited to maintaining asset libraries, deck templates, and brand guideline documents. Build and update the website. Design and ship pages directly in our custom CMS (deployed on Vercel), from layout to content to launch, alongside marketing and engineering. Create sales and marketing collateral. One-pagers, case studies, pitch decks, and flexible slide systems the team can reuse for sales, marketing, and leadership. Own social and campaign content. Design LinkedIn carousels and campaign graphics, and cut short-form video (“cut-ups”) from longer source material. Design HubSpot campaign assets. Email templates and campaign landing pages that support lifecycle and demand-gen marketing. Prep imagery. Retouch and prepare hero and content images for web, social, and marketing channels. Use AI as part of the workflow. Use Claude, ChatGPT, Gemini etc. for ideation, copy support, team collaboration, and speeding up production, we want someone comfortable working this way, not resistant to it. Maintain consistency. Typography, color, imagery, and tone stay on-brand across every deliverable. What Makes This Role Exciting? Real ownership: you're helping build the brand system, not just maintaining one that's already locked. A true creative partnership: you'll work directly with a mark

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit’s ads measurement and signal systems. This role sits at the center of how Reddit proves advertiser value, improves signal quality, builds privacy-aware measurement systems, and connects ads exposure to real advertiser outcomes. As a Senior Staff Data Scientist for Ads Measurement, you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement ecosystem. In a landscape rapidly shifting due to privacy regulations, browser changes, and evolving platform dynamics, you will spearhead innovation across experimental design (incrementality/lift), identity, signals, and privacy-safe 1P/3P measurement. This is a high-visibility, high-impact role requiring a rare blend of deep experimentation & causal inference expertise, strategic foresight, and the ability to influence cross-functional executives and industry standards. You will not just adapt to the changing ad-tech environment, you will redefine how we measure value. Responsibilities Technical Vision & Strategy: Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. Set the Cross-Pillar Measurement Science Strategy: Define the long-term data science strategy across a

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are seeking a senior leader to lead Revenue Strategy & Operations for Reddit’s Global Large Customer Sales (LCS) channel. This role will serve as the operating partner to the global LCS leadership team, helping translate company and channel strategy into clear goals, disciplined execution, and measurable revenue outcomes across regions, verticals, and customer segments. You will own the strategy and operations that drive LCS growth—from annual and quarterly planning through weekly performance management, forecasting, resource allocation, and execution of the highest-impact growth initiatives. You will partner closely with Sales, Finance, Marketing, Product, Business Operations, and other cross-functional leaders to improve sales productivity, unlock new pockets of demand, and scale a globally consistent go-to-market model. This is one role that will lead Strategy & Operations for the Global Large Customer Sales channel. The role is required to be based within commuting distance (50mi) of one of our North America sales hubs in San Francisco, Los Angeles, Chicago, New York, or Toronto. Responsibilities: Serve as a trusted strategic partner to the Global LCS leadership team, shaping channel strategy, priorities, operating model, and investment decisions. Lead the annual and quarterly planning processes for Global LCS, partnering with Finance as well as regional and vertical sales leaders to build credible goals, capacity plans, coverage models, and resource recommendations. Establish and run the global business

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are seeking a senior leader to lead Revenue Strategy & Operations for Reddit’s Global Large Customer Sales (LCS) channel. This role will serve as the operating partner to the global LCS leadership team, helping translate company and channel strategy into clear goals, disciplined execution, and measurable revenue outcomes across regions, verticals, and customer segments. You will own the strategy and operations that drive LCS growth—from annual and quarterly planning through weekly performance management, forecasting, resource allocation, and execution of the highest-impact growth initiatives. You will partner closely with Sales, Finance, Marketing, Product, Business Operations, and other cross-functional leaders to improve sales productivity, unlock new pockets of demand, and scale a globally consistent go-to-market model. This is one role that will lead Strategy & Operations for the Global Large Customer Sales channel. The role is required to be based within commuting distance (50mi) of one of our North America sales hubs in San Francisco, Los Angeles, Chicago, New York, or Toronto. Responsibilities: Serve as a trusted strategic partner to the Global LCS leadership team, shaping channel strategy, priorities, operating model, and investment decisions. Lead the annual and quarterly planning processes for Global LCS, partnering with Finance as well as regional and vertical sales leaders to build credible goals, capacity plans, coverage models, and resource recommendations. Establish and run the global business

Most security assurance work is reactive: a customer asks, a team scrambles, an answer goes out. This role exists to end that cycle. As a Senior Staff Analyst, you’ll own a named portfolio of our most significant customers from a security perspective, and get ahead of what they need — their regulatory environment, their audit calendar, their risk appetite, their control expectations — well enough to have the evidence ready before the request arrives. You’ll lead customer security audits hands-on, sit across from customer security teams as a peer rather than a form-filler, and build account security plans that make the next assessment predictable instead of painful. This is deliberately a hands-on senior individual contributor role. You’ll spend your time in audits, in customer conversations, and in the detail of controls and evidence — not in a management chain. If you’ve got deep SOC 2 and ISO 27001 knowledge, real technical range across cloud architecture, identity and vulnerability management, and the presence to hold a room with a sceptical CISO, this is a portfolio you can genuinely own. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Own a portfolio of strategic accounts as their dedicated security point of contact, building durable relationships with their security, risk, compliance and procurement teams. Lead customer security audits and assessments hands-on — scoping, preparing evidence, running the sessions, defending control design and driving findings to closure with internal owners. Build and maintain an account security plan for each account: their frameworks and regulators, audit and reassessment cycles, known concerns, open items and the roadmap commitments they care about. Anticipate requirements before they’re raised, tracking regulatory change, industry expectations and each account’s compliance calendar so documentation and evidence are staged in advance. Act

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. You will: Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. Own services or systems and define their long-term health goals, while also improving the health of surrounding components Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance Ideally you'd have: Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web develo

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a Director of Accounting Operations to lead and scale the company’s core accounting operations function. This leader will build a disciplined, accurate, audit-ready, and scalable organization that can support rapid growth, global expansion, increasing transaction complexity, and future public-company requirements. In this role, you will oversee day-to-day accounting operations across AP, AR, payroll accounting, fixed assets, accruals, reconciliations, and close operations while partnering across global finance functions. This role is hybrid, based out of Santa Clara,CA; Austin,TX; Boston, MA; or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An experienced accounting operations leader who thrives in fast-paced, high-growth environments and brings strong technical accounting judgment, operational discipline, and a builder’s mindset. Equally comfortable solving detailed accounting issues and designing scalable processes, systems, and controls, with a strong foundation in US GAAP, close, reconciliations, accruals, AP, AR, payroll accounting, fixed assets, internal controls, and audit support. Able to tell wha

About the Team Come help us build and develop tools serving hundreds of engineers internally! We’re looking for a Fullstack Software Engineer to join our Developer Insights team. About the Role Our mission is to improve the developer experience of engineers at DoorDash by building various internal products, including our internal developer portal, Developer Insights. Our success as a platform team depends on the success of the product teams we serve. Because of this, we invest in building a strong community that encourages participation and promotes best practices. You’re excited about this opportunity because you will… Introduce cutting edge technologies to our engineering organization, including tools built on LLMs Build new features for Developer Insights (using Backstage.io) Improve the developer experience for all of our engineers Work and collaborate across team boundaries. Contribute features and bug fixes to upstream open-source projects. Mentor and educate your peers. Lead the team in a technical fashion and assist in roadmap planning and measurement of existing features. Represent the team at large in OKR and engineering all-hands presentations. Context switch from frontend to backend to data depending on the need that arises. We’re excited about you because… You have at least 2 years of experience in web technologies using Typescript with React on the frontend with Java, Kotlin, Python or Go backend experience. You have a product mindset and apply that to how you would build out platform services. You love systems and software, and you're proficient in both. You’re curious and dive deep into different system architectures. You are an organized and excellent written and verbal communicator. You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Compensation The successful candidate’s starti

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring a Firmware Validation & Integration Engineer for our autonomy software team. This is a critical role to build robust and scalable validation for our firmware and systems to ensure reliability at every level. In this role, you will work with our electrical, firmware, and autonomy engineers to build the infrastructure and test suites required to validate the system. This includes designing and implementing our Hardware-in-the-Loop (HIL) simulation environments and automation frameworks from the ground up. You will report to the Autonomy Platform Lead on our Autonomy Platform Team at DoorDash Labs. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Play an integral role on a small and focused team. Design and build Hardware-in-the-Loop (HIL) systems to simulate vehicle dynamics and sensor data for comprehensive firmware and system-level validation. Develop automated test infrastructure and software tools to exercise multiple embedded platforms throughout our robot system. Interface many layers of our control system including vehicle controls, power management, and motion control to ensure seamless system integration. Implement low-level test sequences and validation algorithms to safely stress-test vehicle components such as batteries, drive-train, and thermal management devices. Collaborate with cross-functional teams to identify edge cases and hardware-software corner cases that impact vehicle safety and performance. We’re excited about you because… BS/MS degree in Computer Science, Robotics, Electrical Engineering, or related technical field. 5+ years of experience in validati

About the Team DoorDash’s Internal Audit team provides independent assurance that the company’s risk management, governance, and internal control processes are operating effectively. We are a small team that is looking to expand and bring on motivated professionals. We don’t think of ourselves as a typical audit function - we are obsessively focused on risks to the organizations which reflects in the type of projects we support and execute. DoorDash is rapidly growing - we are expanding in multiple geos and launching new products. This exciting growth allows us to drive creative analysis, strategy, and solutions. Our focus areas include financial, operational, regulatory, security, IT, and more. About the Role We are seeking a Senior Director, IT Internal Audit to lead the strategy, execution and evolution of DoorDash’s global IT audit function. In this highly visible role, you will help shape the technology risk management practices across DoorDash - you will oversee a broad portfolio of audits, including IT SOX, cybersecurity, data governance, AI governance, and operational technology. You will report directly to the Chief Audit Executive and serve as a strategic advisor to DoorDash’s technology, security, and engineering leaders. You will bring deep technical audit expertise, exceptional leadership skills, and a passion for innovation to build and lead a world-class IT audit organization that scales with the business. This role demands someone who can balance strategy with execution (and isn’t afraid to roll up their sleeves) — a leader who can anticipate emerging technology risks, foster strong cross-functional partnerships, translate complex technical concepts into meaningful business insights, and be ready to operate at the lowest level of detail. You will partner with teams across Security, Platform Engineering, Data Engineering, Privacy Legal, AI, Product, and Compliance to strengthen our risk posture and drive a data-driven approach

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We're looking for an experienced technical operator to lead live testing, deployment, and operational validation of cutting-edge autonomous technologies. This role sits at the intersection of engineering and operations, helping ensure new capabilities are safely deployed, thoroughly evaluated, and translated into actionable engineering feedback. You’re excited about this opportunity because you will… Lead and oversee live testing across transport, deployment, and safety validation. Partner closely with hardware, software, and business operations teams to validate new product capabilities while providing guidance and mentorship to junior team members. Conduct and document complex tests for autonomous technologies, evaluating robot behavior, identifying issues, and validating new features and requirements. Provide actionable technical feedback to engineering teams based on test outcomes. Exercise technical judgment during live testing by evaluating robot behavior, assessing operational risk, distinguishing expected behavior from product defects, and determining when engineering escalation or additional validation is required. Develop and implement testing processes, protocols, and checklists that improve the safety, efficiency, and reliability of new products. Utilize internal tools to analyze logs, investigate issues, document findings, and track issues through resolution. Mentor junior team members in structured debugging and documentation practices. Conduct detailed analyses and generate comprehensive reports that identify trends, summarize findings, and provide strategic recommendations to engineering and operations partners. We’re excited about you because… 2+ years of exper

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Bikes & Scooters team is developing the future of micro-mobility and we are looking for a Mechanical Engineer to come in and help drive the development of our newest vehicles and sustain our fleet in operation. Responsibilities: Drive design decision by collaborating with product, engineering (EE/ME/FW/SW), reliability, and systems engineering teams Lead post-launch sustaining activities intended to support a smooth transition into production while maintaining high quality standards Derive technical architecture and engineering specifications from product requirements Use analysis to support engineering designs Lead sustaining and continuous improvement projects from concept through release and into field operations Work with GSM and Manufacturing teams to vet supply chain and production partners Prototype; create quick experimental mock-ups and meticulous mechanical models Research technologies and scope development opportunities Develop CAD databases and drawing packages, and drive handoff to manufacturers Support the build and test product development cycle, travel required Test failure analysis and solution validation to complete successful product development Conduct field failure analysis and solution evaluation Lead large projects from idea to positive execution Act on feedback to learn and grow Effectively communicate across cross functional teams to achieve results Experience: BS or MS degree in Mechanical Engineering or related technical field, and 5+ years of related industry experience Experience leading the development of a feature or module of a consumer product Strong foundation in mechanical engineering fundamentals, including solid mechanics, electromagnetics, thermodynamics, and knowledge of basic engineering materials and manufacturing processes Experience in perfo