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Experience Level
Senior
About the job
About the Role
Movable Ink is hiring a Senior Platform Engineer with a focus on Machine Learning for its Toronto office. This role centers on building and improving machine learning features within our marketing technology platform.
What You Will Do
Work closely with colleagues from different teams to design and implement machine learning solutions that strengthen the platform.
Develop and maintain systems that help clients deliver personalized experiences to their audiences at scale.
Apply engineering expertise to create reliable, maintainable, and scalable ML infrastructure.
About the Role Movable Ink is hiring a Senior Platform Engineer with a focus on Machine Learning for its Toronto office. This role centers on building and improving machine learning features within our marketing technology platform. What You Will Do Work closely with colleagues from different teams to design and implement machine learning solutions that stre…
Join Fullscript as a Senior Machine Learning EngineerAt Fullscript, we’re revolutionizing health technology with a commitment to enhancing patient care. Established in 2011, our mission is straightforward: to empower practitioners with easy access to trusted products, enabling them to provide superior care.Our platform has evolved to support over 125,000 practitioners, offering clinical insights, lab interpretations, patient analytics, and access to premium supplements. More than 10 million patients depend on Fullscript to maintain their care plans and achieve their health goals.We develop innovative tools designed to simplify healthcare, making it smarter and more personal. By consolidating everything practitioners need in one place, we enable them to concentrate on what truly matters: helping people get better.Your Opportunity Awaits.Bring your creativity, dedication, and compassion to our team. Join us in shaping the future of healthcare.We're on the lookout for a Senior Machine Learning Engineer to join our dynamic AI team. In this role, you will spearhead the development of cutting-edge AI features that enhance clinicians' services and empower patients to achieve better health outcomes.
Full-time|CA$118K/yr - CA$152K/yr|On-site|Canada - Montreal
Role overview Capco is seeking a Senior Machine Learning Engineer based in Montreal, Canada. This position centers on designing, developing, and refining machine learning models that drive data-informed decisions for clients in the financial services industry. The work covers the complete machine learning lifecycle: from experimentation and deployment to monitoring and continuous improvement. Generative AI and large language models are central to many of the solutions developed in this role. Main responsibilities Build and maintain machine learning models to address key business challenges Manage all phases of the model lifecycle, including feature engineering, tuning, evaluation, and calibration Use predictive analytics and develop queries to extract insights from complex datasets Test, benchmark, and monitor model performance over time Collaborate with stakeholders to translate business needs into scalable AI solutions Requirements Over 5 years of experience in machine learning or data science roles Strong Python programming abilities and hands-on experience building machine learning models Solid understanding of machine learning concepts, model lifecycle, and established practices Experience with large language models, generative AI, and designing queries Analytical approach and clear communication skills, comfortable working with both technical and business teams Preferred qualifications Background in wealth management or financial services (considered an asset) Knowledge of deploying, monitoring, and retraining models in production environments Experience with cloud-based AI platforms or scalable data infrastructure Familiarity with workflow automation or optimization tools Experience working within agile or cross-functional teams Why join Capco? Work on innovative solutions alongside a collaborative team Partner with recognized experts in the field Grow your career in a supportive and inclusive environment Competitive salary and benefits
c-serv is forming an AI Red Team to improve the security of enterprise AI products. As an Adversarial Machine Learning Engineer, the focus will be on identifying vulnerabilities in large language model (LLM) systems and testing their defenses before they reach enterprise clients. This hands-on position addresses practical security challenges in real-world AI deployments. Main responsibilities Perform adversarial assessments targeting LLMs and other AI systems Simulate real-world attack scenarios, including: 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 Identify weaknesses in technical components, such as: APIs Embedding pipelines Vector databases Fine-tuned model deployments Collaborate with engineering teams to verify fixes and improvements Document findings clearly and thoroughly Location This position is based in Calgary, Alberta, Canada. Impact The work in this role directly supports the reliability and security of AI systems before they are deployed at scale for enterprise use.
Join Mistplay, the leading loyalty application for mobile gamers, as we redefine the gaming experience! Our platform connects millions of enthusiastic mobile players, allowing them to discover exciting new games while earning rewards for their time and investment. Players can redeem these rewards for gift cards, making gaming more rewarding than ever. Our mission is to provide the ultimate mobile gaming experience for everyone, everywhere!We are currently seeking a Senior / Staff Platform Engineer, ML & Data to join our dynamic team. In this role, you will report to the Vice President of Data and Machine Learning Platform, playing a crucial role in developing and enhancing our data architecture and machine learning capabilities.
Join RAVL, a premier technology advisory and engineering firm dedicated to transforming the financial services sector. Our mission is to empower clients to achieve significant ROI through smart technology investments. We are seeking experienced Senior Machine Learning Platform Engineers on a contract basis, to play a pivotal role in the development and scaling of innovative machine learning platforms across diverse client projects. Your responsibilities will include crafting ML pipelines, enhancing platform functionalities, and facilitating MLOps workflows within cloud environments. This position offers an exciting opportunity to engage in both active project deliveries and prospective initiatives, allowing you to work on cutting-edge, production-level ML systems.
“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.
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.
Join HelloFresh as a Senior Machine Learning Engineer within our Growth Tech Alliance! In this pivotal role, you will design and implement the robust infrastructure that powers our innovative marketing systems. You will transition algorithmic prototypes into high-performance production systems, enabling our AI-driven marketing optimization to operate reliably and independently on a global scale.About the TeamWe are looking for a Senior Machine Learning Engineer who can elevate our AI tools by constructing and deploying a resilient infrastructure for our intelligent marketing optimization systems. You will play a crucial part in executing our AI initiatives, developing scalable microservices for predictive scoring, and orchestrating complex LLM-based agents for creative intelligence. As the ML engineering leader, you will facilitate the evolution of algorithmic prototypes into high-performance production systems, ensuring maximum speed and agility as we redefine how HelloFresh automates marketing at an unprecedented scale.ResponsibilitiesCreate robust integration layers for visual AI pipelines that handle multi-modal embeddings driving various predictive models.Convert proof-of-concept models into resilient production microservices while architecting LLM-based orchestration frameworks.Develop high-throughput, low-latency data pipelines to process first-party data and channel signals to external platforms like Meta and Google.Collaborate with cross-functional teams of data scientists and engineers to enhance HelloFresh’s value forecasting efficiency.Establish CI/CD processes, feature stores, and drift detection mechanisms to guarantee continuous delivery and model reliability.Undertake additional duties as assigned.
About Torc RoboticsAt Torc, we firmly believe that autonomous vehicle technology will revolutionize the way we travel, transport goods, and conduct business.As a pioneer in autonomous driving since 2007, Torc has spent over a decade delivering solutions alongside seasoned partners. We are now part of the Daimler family, allowing us to focus solely on developing software for automated trucks. We are poised to change the way the world moves goods.Join our team and propel your career forward with a company that has played a pivotal role in creating autonomous driving technology (AD). We are the first AD software company to have the vision to partner directly with a truck manufacturer.
About Torc RoboticsAt Torc Robotics, we are at the forefront of revolutionizing autonomous vehicle technology, fundamentally changing the way we travel, transport goods, and conduct business. As a pioneering leader in the autonomous driving sector since 2007, we have spent over a decade collaborating with experienced partners to bring our innovative solutions to market. Now part of the esteemed Daimler family, we are dedicated exclusively to developing cutting-edge software for automated trucks, reshaping the future of freight movement. Join us to elevate your career with a company that has not only pioneered autonomous technology but also uniquely partnered with truck manufacturers to advance the field.Meet the Team:The Pseudo-Labeling team is committed to generating high-quality annotations on sensor data, including images and point clouds. Our annotations encompass 2D and 3D bounding boxes, classifications, trajectories, lane markings, segmentations, and depth information. These annotations serve various downstream users, supporting both perception teams in model training and simulation teams in data generation.
About Torc RoboticsAt Torc Robotics, we are at the forefront of revolutionizing transportation with our autonomous vehicle technology. Since our inception in 2007, we have partnered with leading organizations to commercialize our solutions. Now a proud member of the Daimler family, we focus on developing cutting-edge software for automated trucks, aiming to transform freight movement globally.Join us at Torc Robotics and elevate your career with a pioneering company in autonomous technology, recognized as the first AV software firm to collaborate directly with truck manufacturers.Meet The Team:Our dedicated team empowers machine learning developers across Torc to create advanced autonomous vehicle solutions on a large scale. We oversee the entire ML experimentation lifecycle, from concept creation to model validation and performance comparison, ultimately converting the most effective models into operational truck formats. As we leverage AWS along with Lightning and Ray for distributed ML tasks, we seek a talented Senior ML Engineer to help shape the future of autonomous freight.
Are you passionate about harnessing the power of machine learning to drive innovation in the mining industry? Stratum-AI is seeking a proactive and skilled Machine Learning Operations Engineer to become a vital part of our Infrastructure Team. In this role, you will play a key role in developing and maintaining the platform that trains, evaluates, and deploys our AI models, ensuring we deliver impactful solutions to our mining clients.Your expertise in Python and machine learning workflows will be instrumental as you collaborate with our talented team of engineers. Together, you will focus on creating a robust infrastructure and advanced tools that elevate our services.This is a fully remote position, allowing you to work from anywhere in Canada.
Join Fullscript as a Staff Machine Learning Engineer, where you will play a pivotal role in designing and implementing innovative machine learning solutions that enhance our platform’s capabilities. You will work closely with cross-functional teams to develop algorithms and models that drive our business forward, making a significant impact on the healthcare industry.
Full-time|On-site|Vancouver, British Columbia, Canada
Later is the leading platform in influencer marketing, empowering brands to craft unforgettable campaigns with confidence. By leveraging genuine creator relationships, reliable intelligence, and expert support, Later eliminates uncertainty from one of marketing's most visible investments.Our AI-driven platform, backed by over a decade of proprietary data—including billions of social interactions, impressions, and more than $2.4 billion in verified influencer-generated purchases—enables teams to predict campaign success before launch.By merging valuable insights with expert guidance, Later takes the guesswork out of influencer marketing, allowing brands to select the ideal creators, execute thoroughly managed campaigns, and achieve significant growth in awareness, engagement, and revenue. Trusted by major enterprise brands such as Nike, Wayfair, Unilever, and Southwest Airlines, Later harmonizes creativity with performance to ensure campaigns not only look impressive but also yield tangible results. Discover more at later.com.About this Position:We are seeking a Machine Learning Infrastructure Engineer to join our expanding Data & Platform team. In this pivotal role, you will establish the framework that drives our AI and machine learning capabilities across Later's product suite. As our inaugural dedicated ML Infrastructure Engineer, you will oversee the systems that facilitate model experimentation, training, deployment, and large-scale monitoring.This position is essential for accelerating our data science endeavors and fostering future AI innovations. You will design and maintain reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to deploy impactful models confidently. If you are passionate about creating robust ML systems in a dynamic environment and are eager to set the standard for ML Ops at Later, this is your chance.
At MaintainX, we are revolutionizing asset and task management in industrial and frontline environments with the world's leading mobile platform. Our modern, IoT and cloud-based solutions enhance maintenance, safety, and operational efficiency for physical equipment and facilities. We empower over 12,000 organizations, including renowned names like Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, to achieve operational excellence and reliability at scale. Following our $150 million Series D funding led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, we have raised a total of $254 million, valuing MaintainX at $2.5 billion. As we embark on our next phase of growth, we are heavily investing in AI/ML, LLM, and industrial IoT to transform frontline team operations by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and procedure. The Role We are seeking a highly qualified and motivated Senior Machine Learning Engineer to drive the technical direction and architecture of our predictive maintenance and asset intelligence initiatives. You will combine deep expertise in machine learning with strong software engineering and leadership skills. You will mentor engineers, develop systems, and lead the roadmap for AI-driven maintenance intelligence across thousands of industrial sites. This position sits at the intersection of machine learning architecture, IoT data systems, and product impact, forming the cornerstone of MaintainX's predictive and generative AI strategy. Key Responsibilities: Lead the technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across all MaintainX products. Design end-to-end ML systems, from data ingestion and feature engineering to model training, deployment, and monitoring. Mentor a growing team of ML and data engineers, instilling best practices in experimentation, evaluation, and model lifecycle management. Collaborate with product and engineering leaders to align our efforts with the company's overarching goals.
MaintainX is the world's leading mobile platform dedicated to asset and task management in industrial and frontline environments. We offer a modern, cloud-based IoT solution that streamlines the maintenance, safety, and operation of physical equipment and facilities. Empowering over 12,000 organizations including Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, we help them achieve operational excellence and reliability at scale. Following our Series D funding round of $150 million led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion. As we enter our next growth phase, we are heavily investing in AI/ML, LLMs, and industrial IoT to transform how frontline teams operate by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and process.
Dropbox is looking for a Senior Machine Learning Engineer to help develop AI-driven features for its products. This position is fully remote and open to candidates based in select locations across Canada. Key responsibilities Design and implement advanced machine learning models for Dropbox’s product suite. Collaborate with colleagues from engineering, product, and design to integrate AI capabilities into real user workflows. Apply machine learning techniques to enhance product functionality and improve the user experience. Team collaboration This role works closely with cross-functional teams to ensure that AI solutions fit seamlessly into Dropbox’s offerings. Frequent communication with product, engineering, and design partners is central to how this work gets done.
About the Role Movable Ink is hiring a Senior Platform Engineer with a focus on Machine Learning for its Toronto office. This role centers on building and improving machine learning features within our marketing technology platform. What You Will Do Work closely with colleagues from different teams to design and implement machine learning solutions that stre…
Join Fullscript as a Senior Machine Learning EngineerAt Fullscript, we’re revolutionizing health technology with a commitment to enhancing patient care. Established in 2011, our mission is straightforward: to empower practitioners with easy access to trusted products, enabling them to provide superior care.Our platform has evolved to support over 125,000 practitioners, offering clinical insights, lab interpretations, patient analytics, and access to premium supplements. More than 10 million patients depend on Fullscript to maintain their care plans and achieve their health goals.We develop innovative tools designed to simplify healthcare, making it smarter and more personal. By consolidating everything practitioners need in one place, we enable them to concentrate on what truly matters: helping people get better.Your Opportunity Awaits.Bring your creativity, dedication, and compassion to our team. Join us in shaping the future of healthcare.We're on the lookout for a Senior Machine Learning Engineer to join our dynamic AI team. In this role, you will spearhead the development of cutting-edge AI features that enhance clinicians' services and empower patients to achieve better health outcomes.
Full-time|CA$118K/yr - CA$152K/yr|On-site|Canada - Montreal
Role overview Capco is seeking a Senior Machine Learning Engineer based in Montreal, Canada. This position centers on designing, developing, and refining machine learning models that drive data-informed decisions for clients in the financial services industry. The work covers the complete machine learning lifecycle: from experimentation and deployment to monitoring and continuous improvement. Generative AI and large language models are central to many of the solutions developed in this role. Main responsibilities Build and maintain machine learning models to address key business challenges Manage all phases of the model lifecycle, including feature engineering, tuning, evaluation, and calibration Use predictive analytics and develop queries to extract insights from complex datasets Test, benchmark, and monitor model performance over time Collaborate with stakeholders to translate business needs into scalable AI solutions Requirements Over 5 years of experience in machine learning or data science roles Strong Python programming abilities and hands-on experience building machine learning models Solid understanding of machine learning concepts, model lifecycle, and established practices Experience with large language models, generative AI, and designing queries Analytical approach and clear communication skills, comfortable working with both technical and business teams Preferred qualifications Background in wealth management or financial services (considered an asset) Knowledge of deploying, monitoring, and retraining models in production environments Experience with cloud-based AI platforms or scalable data infrastructure Familiarity with workflow automation or optimization tools Experience working within agile or cross-functional teams Why join Capco? Work on innovative solutions alongside a collaborative team Partner with recognized experts in the field Grow your career in a supportive and inclusive environment Competitive salary and benefits
c-serv is forming an AI Red Team to improve the security of enterprise AI products. As an Adversarial Machine Learning Engineer, the focus will be on identifying vulnerabilities in large language model (LLM) systems and testing their defenses before they reach enterprise clients. This hands-on position addresses practical security challenges in real-world AI deployments. Main responsibilities Perform adversarial assessments targeting LLMs and other AI systems Simulate real-world attack scenarios, including: 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 Identify weaknesses in technical components, such as: APIs Embedding pipelines Vector databases Fine-tuned model deployments Collaborate with engineering teams to verify fixes and improvements Document findings clearly and thoroughly Location This position is based in Calgary, Alberta, Canada. Impact The work in this role directly supports the reliability and security of AI systems before they are deployed at scale for enterprise use.
Join Mistplay, the leading loyalty application for mobile gamers, as we redefine the gaming experience! Our platform connects millions of enthusiastic mobile players, allowing them to discover exciting new games while earning rewards for their time and investment. Players can redeem these rewards for gift cards, making gaming more rewarding than ever. Our mission is to provide the ultimate mobile gaming experience for everyone, everywhere!We are currently seeking a Senior / Staff Platform Engineer, ML & Data to join our dynamic team. In this role, you will report to the Vice President of Data and Machine Learning Platform, playing a crucial role in developing and enhancing our data architecture and machine learning capabilities.
Join RAVL, a premier technology advisory and engineering firm dedicated to transforming the financial services sector. Our mission is to empower clients to achieve significant ROI through smart technology investments. We are seeking experienced Senior Machine Learning Platform Engineers on a contract basis, to play a pivotal role in the development and scaling of innovative machine learning platforms across diverse client projects. Your responsibilities will include crafting ML pipelines, enhancing platform functionalities, and facilitating MLOps workflows within cloud environments. This position offers an exciting opportunity to engage in both active project deliveries and prospective initiatives, allowing you to work on cutting-edge, production-level ML systems.
“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.
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.
Join HelloFresh as a Senior Machine Learning Engineer within our Growth Tech Alliance! In this pivotal role, you will design and implement the robust infrastructure that powers our innovative marketing systems. You will transition algorithmic prototypes into high-performance production systems, enabling our AI-driven marketing optimization to operate reliably and independently on a global scale.About the TeamWe are looking for a Senior Machine Learning Engineer who can elevate our AI tools by constructing and deploying a resilient infrastructure for our intelligent marketing optimization systems. You will play a crucial part in executing our AI initiatives, developing scalable microservices for predictive scoring, and orchestrating complex LLM-based agents for creative intelligence. As the ML engineering leader, you will facilitate the evolution of algorithmic prototypes into high-performance production systems, ensuring maximum speed and agility as we redefine how HelloFresh automates marketing at an unprecedented scale.ResponsibilitiesCreate robust integration layers for visual AI pipelines that handle multi-modal embeddings driving various predictive models.Convert proof-of-concept models into resilient production microservices while architecting LLM-based orchestration frameworks.Develop high-throughput, low-latency data pipelines to process first-party data and channel signals to external platforms like Meta and Google.Collaborate with cross-functional teams of data scientists and engineers to enhance HelloFresh’s value forecasting efficiency.Establish CI/CD processes, feature stores, and drift detection mechanisms to guarantee continuous delivery and model reliability.Undertake additional duties as assigned.
About Torc RoboticsAt Torc, we firmly believe that autonomous vehicle technology will revolutionize the way we travel, transport goods, and conduct business.As a pioneer in autonomous driving since 2007, Torc has spent over a decade delivering solutions alongside seasoned partners. We are now part of the Daimler family, allowing us to focus solely on developing software for automated trucks. We are poised to change the way the world moves goods.Join our team and propel your career forward with a company that has played a pivotal role in creating autonomous driving technology (AD). We are the first AD software company to have the vision to partner directly with a truck manufacturer.
About Torc RoboticsAt Torc Robotics, we are at the forefront of revolutionizing autonomous vehicle technology, fundamentally changing the way we travel, transport goods, and conduct business. As a pioneering leader in the autonomous driving sector since 2007, we have spent over a decade collaborating with experienced partners to bring our innovative solutions to market. Now part of the esteemed Daimler family, we are dedicated exclusively to developing cutting-edge software for automated trucks, reshaping the future of freight movement. Join us to elevate your career with a company that has not only pioneered autonomous technology but also uniquely partnered with truck manufacturers to advance the field.Meet the Team:The Pseudo-Labeling team is committed to generating high-quality annotations on sensor data, including images and point clouds. Our annotations encompass 2D and 3D bounding boxes, classifications, trajectories, lane markings, segmentations, and depth information. These annotations serve various downstream users, supporting both perception teams in model training and simulation teams in data generation.
About Torc RoboticsAt Torc Robotics, we are at the forefront of revolutionizing transportation with our autonomous vehicle technology. Since our inception in 2007, we have partnered with leading organizations to commercialize our solutions. Now a proud member of the Daimler family, we focus on developing cutting-edge software for automated trucks, aiming to transform freight movement globally.Join us at Torc Robotics and elevate your career with a pioneering company in autonomous technology, recognized as the first AV software firm to collaborate directly with truck manufacturers.Meet The Team:Our dedicated team empowers machine learning developers across Torc to create advanced autonomous vehicle solutions on a large scale. We oversee the entire ML experimentation lifecycle, from concept creation to model validation and performance comparison, ultimately converting the most effective models into operational truck formats. As we leverage AWS along with Lightning and Ray for distributed ML tasks, we seek a talented Senior ML Engineer to help shape the future of autonomous freight.
Are you passionate about harnessing the power of machine learning to drive innovation in the mining industry? Stratum-AI is seeking a proactive and skilled Machine Learning Operations Engineer to become a vital part of our Infrastructure Team. In this role, you will play a key role in developing and maintaining the platform that trains, evaluates, and deploys our AI models, ensuring we deliver impactful solutions to our mining clients.Your expertise in Python and machine learning workflows will be instrumental as you collaborate with our talented team of engineers. Together, you will focus on creating a robust infrastructure and advanced tools that elevate our services.This is a fully remote position, allowing you to work from anywhere in Canada.
Join Fullscript as a Staff Machine Learning Engineer, where you will play a pivotal role in designing and implementing innovative machine learning solutions that enhance our platform’s capabilities. You will work closely with cross-functional teams to develop algorithms and models that drive our business forward, making a significant impact on the healthcare industry.
Full-time|On-site|Vancouver, British Columbia, Canada
Later is the leading platform in influencer marketing, empowering brands to craft unforgettable campaigns with confidence. By leveraging genuine creator relationships, reliable intelligence, and expert support, Later eliminates uncertainty from one of marketing's most visible investments.Our AI-driven platform, backed by over a decade of proprietary data—including billions of social interactions, impressions, and more than $2.4 billion in verified influencer-generated purchases—enables teams to predict campaign success before launch.By merging valuable insights with expert guidance, Later takes the guesswork out of influencer marketing, allowing brands to select the ideal creators, execute thoroughly managed campaigns, and achieve significant growth in awareness, engagement, and revenue. Trusted by major enterprise brands such as Nike, Wayfair, Unilever, and Southwest Airlines, Later harmonizes creativity with performance to ensure campaigns not only look impressive but also yield tangible results. Discover more at later.com.About this Position:We are seeking a Machine Learning Infrastructure Engineer to join our expanding Data & Platform team. In this pivotal role, you will establish the framework that drives our AI and machine learning capabilities across Later's product suite. As our inaugural dedicated ML Infrastructure Engineer, you will oversee the systems that facilitate model experimentation, training, deployment, and large-scale monitoring.This position is essential for accelerating our data science endeavors and fostering future AI innovations. You will design and maintain reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to deploy impactful models confidently. If you are passionate about creating robust ML systems in a dynamic environment and are eager to set the standard for ML Ops at Later, this is your chance.
At MaintainX, we are revolutionizing asset and task management in industrial and frontline environments with the world's leading mobile platform. Our modern, IoT and cloud-based solutions enhance maintenance, safety, and operational efficiency for physical equipment and facilities. We empower over 12,000 organizations, including renowned names like Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, to achieve operational excellence and reliability at scale. Following our $150 million Series D funding led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, we have raised a total of $254 million, valuing MaintainX at $2.5 billion. As we embark on our next phase of growth, we are heavily investing in AI/ML, LLM, and industrial IoT to transform frontline team operations by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and procedure. The Role We are seeking a highly qualified and motivated Senior Machine Learning Engineer to drive the technical direction and architecture of our predictive maintenance and asset intelligence initiatives. You will combine deep expertise in machine learning with strong software engineering and leadership skills. You will mentor engineers, develop systems, and lead the roadmap for AI-driven maintenance intelligence across thousands of industrial sites. This position sits at the intersection of machine learning architecture, IoT data systems, and product impact, forming the cornerstone of MaintainX's predictive and generative AI strategy. Key Responsibilities: Lead the technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across all MaintainX products. Design end-to-end ML systems, from data ingestion and feature engineering to model training, deployment, and monitoring. Mentor a growing team of ML and data engineers, instilling best practices in experimentation, evaluation, and model lifecycle management. Collaborate with product and engineering leaders to align our efforts with the company's overarching goals.
MaintainX is the world's leading mobile platform dedicated to asset and task management in industrial and frontline environments. We offer a modern, cloud-based IoT solution that streamlines the maintenance, safety, and operation of physical equipment and facilities. Empowering over 12,000 organizations including Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, we help them achieve operational excellence and reliability at scale. Following our Series D funding round of $150 million led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion. As we enter our next growth phase, we are heavily investing in AI/ML, LLMs, and industrial IoT to transform how frontline teams operate by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and process.
Dropbox is looking for a Senior Machine Learning Engineer to help develop AI-driven features for its products. This position is fully remote and open to candidates based in select locations across Canada. Key responsibilities Design and implement advanced machine learning models for Dropbox’s product suite. Collaborate with colleagues from engineering, product, and design to integrate AI capabilities into real user workflows. Apply machine learning techniques to enhance product functionality and improve the user experience. Team collaboration This role works closely with cross-functional teams to ensure that AI solutions fit seamlessly into Dropbox’s offerings. Frequent communication with product, engineering, and design partners is central to how this work gets done.
