Software Development Team Lead

Datatonic partners with organizations to help them manage and transform their data using Google Cloud. The team specializes in machine learning, data engineering, and analytics, supporting clients as they adapt to evolving business needs and seek actionable insights. Role overview The Lead Machine Learning Engineer - Team Lead will provide both technical leadership and people management for a group of engineers working on machine learning and data science projects. This role involves shaping project direction, mentoring team members, and supporting their development. The position is well suited to someone who enjoys change and wants to influence both team and company outcomes. Team leadership Guide the machine learning team with strategic and technical direction, ensuring practices align with industry standards. Recruit and onboard data scientists and machine learning engineers to build team capabilities. Mentor team members to support their technical growth and career progression. Foster a culture of inclusion, innovation, and open knowledge sharing. Conduct performance reviews, set objectives, and provide constructive feedback for continuous improvement. Project delivery Oversee complex machine learning projects from planning through deployment, focusing on quality and timely delivery within budget. Work with Delivery Managers to define project scope, set timelines, allocate resources, and monitor milestones. Location This position is based in Canada.

Join Us in Shaping the Future of AI & DataAt Datatonic, we proudly serve as Google Cloud's premier partner in AI, leading transformative initiatives for world-class businesses. Our expertise in machine learning, data engineering, and analytics on the Google Cloud Platform enables our clients to future-proof their operations, extract actionable insights, and maintain a competitive edge in an ever-evolving landscape.Your RoleAs a Lead Machine Learning Engineer, you will take the reins as the technical authority for our most ambitious projects. You will establish the technical vision, mentor a team of talented engineers, and translate intricate business challenges into pioneering AI solutions on Google Cloud. This hands-on leadership position requires you to not only architect innovative solutions but also engage actively in client discussions and oversee project delivery from inception to completion.Your responsibilities will include building strong relationships with prospects, identifying creative machine learning applications to address challenges, scoping projects, and ensuring successful delivery of these initiatives.To excel in this role, you will need a solid foundation in ML & Data Science and the ability to select the appropriate tools and strategies for diverse ML use cases. Proficiency in model optimization and deployment tools is essential, along with exceptional communication and consulting skills, and a passion for addressing real business needs through innovative AI and Cloud solutions.

Join Upwork Inc., a global leader in connecting businesses with AI-enabled talent, as a Senior Lead Machine Learning Engineer. In this pivotal role, you will architect and scale the future of agentic intelligence, leading the end-to-end development of AI agents and their underlying platform. From training and evaluating large language models to ensuring runtime orchestration and safety, you will drive innovative solutions that empower both internal teams and external developers to create reliable and high-performing AI agents. This hands-on position blends applied research with platform engineering, making a significant impact on Upwork's mission to transform the workforce for the age of AI.

Jobgether is looking for a Team Lead in Learning and Development to join the team in Canada. This position sets the course for how employees learn and grow, playing a central part in shaping training across the organization. Key responsibilities Direct the design and launch of learning initiatives throughout the company Supervise the creation of training programs aimed at building skills and supporting career advancement Encourage a workplace culture that values ongoing improvement and learning Location This role is based in Canada.

Affirm, Inc. is looking for a Lead Manager, Machine Learning Engineering to join the team remotely from anywhere in Canada. This leadership role centers on guiding engineers as they create and implement machine learning models that support Affirm’s financial products. Role overview The Lead Manager will provide direction and mentorship to a team of machine learning engineers. The work involves overseeing projects that use advanced machine learning techniques and ensuring models are successfully developed and deployed for Affirm’s financial solutions. What you will do Mentor and manage a team of machine learning engineers Lead projects that utilize advanced machine learning methods Guide the development and deployment of models for Affirm’s financial offerings Location This is a remote position open to candidates based in Canada.

About the Role c-serv is building a dedicated AI Red Team to strengthen the security of enterprise AI products. The Adversarial Machine Learning Engineer will play a central part in uncovering vulnerabilities in LLM-based systems and testing their defenses before they reach enterprise clients. This is a hands-on position focused on practical security challenges in real-world AI deployments. Main Responsibilities Carry out adversarial assessments targeting LLMs and other AI systems Simulate real-world attacks, such as: Prompt injection Jailbreaking and bypassing model guardrails Data exfiltration Model inversion and evasion Manipulation of retrieval-augmented generation (RAG) pipelines Develop scripts and tools to automate attack scenarios Evaluate model behavior and performance under adversarial conditions Pinpoint weaknesses in technical components, including: APIs Embedding pipelines Vector databases Fine-tuned model deployments Work closely with engineering teams to confirm fixes and improvements Document findings clearly and thoroughly Location This role is based in Calgary, Alberta, Canada. Impact The work done in this role will directly support the reliability and security of AI systems before they are deployed at scale for enterprise use.

Role Overview MineSense Technologies Ltd. is hiring a Mechanical Engineering Team Lead in Vancouver. This leadership role shapes the future of mining technology by guiding mechanical engineering projects from concept through execution. What You Will Do Lead mechanical engineering projects and guide teams toward successful delivery Work closely with colleagues from other disciplines to develop and improve mining solutions Mentor and support junior engineers as they grow their technical skills Monitor project progress and help ensure milestones are achieved on time and to a high standard

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change

About Us Nubank stands as one of the largest digital financial platforms globally, serving over 127 million customers across Brazil, Mexico, and Colombia. With a mission to combat complexity and empower individuals, we are on a journey to redefine financial services in Latin America, and this is just the inception of the vibrant future we are constructing. As a publicly traded company on the New York Stock Exchange (NYSE: NU), we leverage proprietary technology, advanced data intelligence, and a streamlined operating model to provide financial products that are straightforward, accessible, and human-centric. Our contributions to the financial sector have garnered recognition from esteemed global rankings such as Time's 100 Companies, Fast Company's Most Innovative Companies, and Forbes' World’s Best Bank. Explore more about our team and opportunities at Careers at Nubank. About the Role Data forms the cornerstone of Nubank’s AI and machine learning models, allowing millions of customers to access equitable financial products. As a Lead Machine Learning Engineer within the AI Core Data Intelligence team, you will engage in a diverse range of activities—from constructing scalable data infrastructures and feature pipelines that support our cutting-edge foundation models to designing, training, and deploying transaction classification models that enhance crucial customer experiences throughout the organization. Your role will be pivotal at the convergence of data and applied machine learning, contributing to various phases of the ML lifecycle: acquiring and labeling data, training and assessing models, and assisting in deployment and production monitoring through rigorous quality controls. Collaboration with product, compliance, and ML teams will be essential to ensure that models are auditable, respect privacy, and yield measurable business value. Joining our team means being part of the data engineering backbone of AI Core, where you will ensure data is accessible, healthy, and accurately tracked across our entire ML ecosystem. Here, you will merge your skills in building scalable data systems with your enthusiasm for machine learning, crafting solutions that enable our models to learn from richer, higher-quality data. Learn more about our work in the AI Core team on our blog: Understanding Our Customers' Finances Through Foundation Models.

About the CompanyAt Torc Robotics, we believe that autonomous vehicle technology will revolutionize how we travel, transport goods, and conduct business. As a leader in autonomous driving since 2007, Torc has spent over a decade bringing innovative solutions to market in collaboration with seasoned partners. We are now part of the Daimler family, allowing us to focus exclusively on developing software for automated trucks. We aim to transform the global goods transport landscape.Join our team and propel your career within a company that has been at the forefront of autonomous driving technology. We are the first software company in this field to partner directly with a truck manufacturer.Meet the Team:Torc is advancing its AV 3.0 strategy, with Data Loop and Simulation components being critical for autonomous trucking. Our team is working on sensor simulations based on neural rendering and generative models for Torc's data-driven simulator. High-quality data from original scenarios fills the data gaps in the domain, enhancing our solutions.

Join Semperis, where our mission is to be a force for good by creating a supportive and empowering workplace. We believe that a nurturing environment fosters innovation and excellence. Our commitment to our employees has earned us recognition as one of America's Fastest-Growing Cybersecurity Companies by Inc. 5000, and we are proud to be a designated DUNS 100 Top Startup to Work For and a multi-year Inc. Best Workplace awardee.Position OverviewWe are actively seeking an Engineering Team Lead to spearhead the establishment and development of a new engineering team focused on enhancing and scaling our SaaS-based recovery products. This is a foundational role within an established product group. You will be instrumental in forming and leading a new team, taking full ownership of its charter from day one, and overseeing the processes of recruitment, onboarding, and team setup.Key ResponsibilitiesIn your capacity as the Engineering Team Lead, you will:Direct the technical strategy and implementation of our SaaS recovery solutions within your team.Begin as a hands-on leader, making significant individual contributions while transitioning to lead a growing team.Work collaboratively with product managers, architects, security experts, and existing engineering teams to shape and realize the product vision.Provide technical leadership and mentorship, including system design, code reviews, and architectural decision-making.Establish and enforce engineering processes and best practices for the new team, including coding standards, CI/CD, testing, and observability.Monitor the team’s development process and ensure accountability for product delivery, quality, and timelines.Set high-quality benchmarks, choosing technical solutions that cater to current needs while being scalable for future demands.Play a key role in the design and implementation of new components and services.Foster the growth and development of team members through daily mentorship, constructive feedback, and guidance for long-term career advancement.Collaborate with recruitment to source, interview, and onboard new engineers for your team.

Principal Backend Engineer – Edge Platform (Advertising Delivery Systems)Full-time Position (Hybrid)Montréal, Canada(English below)Have you ever wondered how outdoor screens manage to display advertisements that seem perfectly tailored to your tastes and interests? This is made possible through Digital Out Of Home (DOOH) advertising, typically enabled by programmatic technology. That’s exactly what we do. Hivestack has transformed the future of our industry by developing a unique full-stack advertising technology platform.On the buyer side, marketers leverage Hivestack’s Demand Side Platform (DSP) to create measurable campaigns that activate DOOH screens in real-time based on consumer behavior and audience movement patterns. On the seller side, DOOH media owners use Hivestack’s Supply Side Platform (SSP), Ad Server, and Header Bidder to manage their inventory and maximize revenue.The secret to our success lies in our incredible global team passionate about innovation. We don't confine ourselves to traditional work models: we embrace change and are unafraid to stand out and champion new ideas. Interested? Join us and make a real impact on digital screens around the world.Job DescriptionReporting to the VP of Engineering, we are seeking a Principal Backend Engineer (Edge Lead) to take technical responsibility for our real-time delivery systems while leading and developing a team of engineers.This is an operational leadership role—a true player-coach position.Key ResponsibilitiesTechnical Responsibility• Architecting and evolving our Ad Server, SSP, Exchange, and DSP execution components• High-throughput, low-latency distributed systems• Performance optimization (latency, memory, throughput)• Reliability, resilience, and incident recovery strategies• Scalability planning and capacity forecasting• Technical guidance for refactoring and long-term improvementsYou will define architectural standards and make critical system design decisions that have a direct impact on revenue and delivery performance.Team Leadership• Direct management of Edge team engineers (Ad Delivery)• Mentorship, performance development, and recruitment• Fostering a culture of collaboration and innovation.

Join our dynamic team at Jobs for Humanity as a Programming Team Lead. In this pivotal role, you will lead a talented group of engineers, fostering innovation and driving the development of impactful software solutions. Your leadership will guide the team to achieve excellence in coding standards, project delivery, and collaboration with cross-functional teams.

About Us:Geotab Inc. is a pioneering force in the realm of IoT and connected transportation, recognized as a certified “Great Place to Work™.” Our innovative team comprises diverse talents committed to fostering business growth and enhancing the safety and sustainability of communities.At Geotab, we are at the forefront of security advancements, connecting commercial vehicles to the internet and delivering web-based analytics to empower fleet management. With our open platform and Geotab Marketplace®, featuring hundreds of third-party solutions, we empower businesses of all sizes to automate their operations by integrating vehicle data with other data assets. Processing billions of data points daily, we utilize data analytics and machine learning to boost productivity, reduce fuel consumption, enhance driver safety, and ensure compliance with regulatory changes.As our team expands, we seek individuals who are passionate, innovative, and eager to make a significant impact. Our dynamic environment offers constant challenges and opportunities for personal and professional growth. Join us for a rewarding career filled with innovation, competitive benefits, and a vibrant, inclusive workplace culture. To explore the Geotab experience, visit our blog and follow us on Instagram. Join our talent network to stay updated on job opportunities.

“Transform every logistics journey into a remarkable experience”Company Overview:Established in 2014, Quincus is a pioneering B2B SaaS platform specializing in supply chain operations, with its headquarters in Singapore. Our mission is to tackle the pressing challenges of global supply chains through innovative technology. By leveraging AI and machine learning, we have revolutionized the logistics landscape, providing our clients with unparalleled transparency and efficiency in their supply chain operations.Founded by two visionary entrepreneurs with over a decade of tech experience, Quincus is led by Chief Product Officer Katherina-Olivia Lacey, who champions a tech revolution while promoting women's empowerment within the supply chain sector. CEO Jonathan E. Savoir, recognized in Forbes' 30 Under 30 Asia List in 2020, also contributes to several startup boards, driving innovation forward.Role Overview:Quincus Research is at the forefront of developing the next generation of intelligent systems for our suite of products. We are seeking a highly motivated and skilled Machine Learning Engineer to join our dynamic team. You will play a pivotal role in designing and deploying deep learning and reinforcement learning algorithms at scale. Your expertise will be essential in creating scalable systems for model serving, optimizing inference performance, and managing production workflows.Key Responsibilities:- Design and implement scalable systems for deploying deep learning and reinforcement learning models.- Optimize the inference performance of models through advanced techniques like quantization, pruning, and distillation.- Leverage GPU computing to enhance model training and inference efficiency.- Develop and manage production workflows for the training and deployment of machine learning models.- Collaborate cross-functionally with data scientists and software engineers to create effective machine learning systems.- Monitor and enhance the performance of machine learning models in production.- Stay abreast of the latest advancements in deep learning and reinforcement learning methodologies.

Join Our Innovative TeamSanctuary AI is at the forefront of developing dexterity-driven Physical AI for versatile robots. We are on the lookout for talented Machine Learning Engineers to become part of our dynamic team of engineers, researchers, and scientists. Together, we are committed to overcoming significant challenges in robotic perception, dexterous manipulation, planning, and reasoning.In this role, you will concentrate on creating robust systems to train and implement machine learning policies in robotic platforms. You will collaborate closely with researchers to introduce and execute cutting-edge ML techniques in production environments. Utilizing our state-of-the-art in-house robotic systems, you will design, test, and enhance software that connects advanced methodologies to practical outcomes. This role presents a unique opportunity to contribute to both the engineering foundations and the applied ML capabilities that propel our robots into the future.Note: Your role may require occasional travel (typically one to two weeks at a time, several times a year) to work closely with partners and teams on essential projects.

Join bree as a Machine Learning Engineer, where you will be at the forefront of cutting-edge technology, developing algorithms and models that drive innovation. Collaborate with a dynamic team to enhance machine learning frameworks and contribute to impactful projects that transform data into actionable insights.

Jobgether is hiring an Engineering Team Lead to guide the Core Product Engine team. This position is based in Canada and centers on backend development for the company’s main products. Role overview The Team Lead will oversee a group of engineers, providing direction and support as they build and improve backend systems. Collaboration with other departments is essential to ensure new features are integrated and deployed smoothly, always aligning with broader company goals. What you will do Lead and mentor backend engineers working on the core product engine Support the team in developing scalable backend solutions Work with cross-functional teams to deliver features that match strategic priorities Requirements Experience leading engineering teams focused on backend development Strong background in building scalable backend systems Ability to collaborate with teams across the organization

Affinity integrates billions of data points from extensive datasets to craft a precise and powerful depiction of the global professional relationship graph. Our users gain essential insights and visibility to cultivate and leverage opportunities within their teams' networks. The position is part of the AI Platform team, responsible for the AI services that drive Affinity's premier relationship intelligence platform. Our work involves extracting and retrieving information from vast amounts of structured and unstructured data to provide actionable insights to our clients. As a Senior Machine Learning Engineer, you'll collaborate closely with data engineers, software engineers, and product managers to shape the future of the leading CRM platform in private capital. Your role will involve designing and building AI systems that efficiently uncover insights from dynamic business interaction data—an exciting and unique opportunity within the sector. This position focuses on applied machine learning with a significant emphasis on engineering rather than research. You will be instrumental in enhancing our ML Engineering capabilities, specifically in information retrieval and ultimately in recommendation systems. Key Responsibilities: Own the full ML lifecycle: Guide projects from ideation to production, encompassing feature engineering, model selection, deployment, and model observability and evaluation. Translate business needs into ML solutions: Gather product requirements and convert them into robust ML system design specifications. Build recommendation and ranking systems: Architect and implement ranking and recommendation infrastructure from the ground up, initially leveraging integrated off-the-shelf models and evolving to tailored solutions over time. Solve complex problems: Tackle diverse challenges in information extraction, storage, and retrieval for both structured and unstructured data. Collaborate cross-functionally: Work alongside cross-functional teams (product, infrastructure, data engineering, and software engineering) to develop robust, high-scale systems that underpin our data processing and ML operations.