Senior Software Developer, Machine Learning Specialist

Unity Technologies is shaping an ad-tech ecosystem that links billions of users with creators and their experiences. The Advertiser Growth team leads this work, delivering intelligent tools, dependable infrastructure, and a platform that encourages experimentation as the marketplace grows. Key responsibilities Design and build GenAI systems to create high-impact creative assets for advertisers Develop pacing algorithms that manage and optimize advertising budgets worth millions Maintain and improve billing pipelines to ensure accuracy and efficiency at large scale Create experimentation infrastructure to advance marketplace science and support data-driven growth Strategic focus for 2026 The team’s roadmap centers on three pillars: Foundation, Smart, and Intelligence. This position operates where financial execution, creative development, and marketplace science meet. Technical leadership in this role directly influences Unity’s financial accuracy and the long-term stability of the ad marketplace. Location This is a remote position based in Ontario, Canada.

At Stay22, we are transforming the way users convert online. Our AI-powered affiliate platform assists publishers, ticketing platforms, and content creators in generating new revenue streams while enhancing their audience's experience.Join us at Stay22, where our partners not only earn more but also provide a superior experience. Be part of a company that is fundamentally reshaping the affiliate landscape.Job SummaryYou will join the Neuro Squad, a specialized team dedicated to centralizing ML and AI innovation at Stay22. Neuro provides the technical foundations that power our core engines, including Roam (our machine learning-based redirect engine) and Spark (our AI-driven affiliate logic engine).As a Senior ML/DL Developer within the Neuro Squad, your responsibilities will include designing and architecting the intelligence behind these products. This role encompasses the entire lifecycle of our ML platforms—from training pipeline design to real-time inference API optimization.You will work with cutting-edge technologies (including LLMs) and collaborate closely with the Data team and Forge Squad to ensure our AI solutions are scalable, secure, and production-ready.

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.

Who We AreWe are a dynamic technology company, thriving in agile development. At the heart of everything we do are our people; that is what truly matters to us. We genuinely care about our clients and their environments, as well as the grand dreams, aspirations, and professional growth of every member of our team.We firmly believe that unity is strength, which is why we are constantly seeking new ways to build connections with everyone around us.We value diversity in all its forms: backgrounds, personalities, career paths, languages... absolutely everything. This subject opens opportunities for concrete innovations as well as learning and exchanges. We want everyone to feel welcomed and at home in all that we do.Fun is also part of our mission. Every day, we rise with the motivation to make the world a more efficient and enjoyable place.Role OverviewAs a Senior Software Developer and Machine Learning Specialist, you are ready and eager to collaborate with and mentor both technical and non-technical teammates while planning, developing, and delivering enterprise AI software solutions for our clients. We expect you to take ownership of your tasks, excel in time management, and learn quickly, while also focusing on continuous personal improvement.The technologies listed below are indicative. Above all, we consider personal skills and growth potential during the selection process.

About UsAt osedea, we are a dynamic and innovative technology development company that places people at the core of our mission. Our commitment extends beyond delivering exceptional services to our clients; we genuinely care about our team members' aspirations, dreams, and professional growth.We believe in the strength of community, actively seeking to forge meaningful connections with everyone we encounter.Diversity is celebrated in all its forms here. We value different backgrounds, perspectives, and experiences, fostering an environment where every individual feels welcomed and included.With a focus on collaboration and enjoyment, we approach each day with enthusiasm as we strive to create a more efficient and enjoyable world.

At Plusgrade, we believe travel is about the journey, not just the destination. Our mission is to redefine the future of travel by partnering with over 250 leading companies in the airline, hospitality, cruise, passenger rail, and financial services sectors. We focus on creating significant revenue opportunities through exceptional customer experiences. Emphasizing our core values of ambition, innovation, and collaboration, we are committed to exceeding expectations and fostering a culture of excellence. Join us as we turn ordinary travel into extraordinary experiences.ROLE OVERVIEW:As a Backend Developer specializing in Machine Learning within our ML Applications team, you will play a pivotal role in designing, developing, and deploying advanced machine learning solutions to tackle complex business challenges. This position demands a robust background in software development, a keen interest in innovative technologies, outstanding problem-solving abilities, and the capacity to thrive both independently and as part of a dynamic team.This position reports directly to the Director of ML Applications.KEY RESPONSIBILITIES:• Collaborate in a dedicated team focused on enabling machine learning applications across the organization.• Develop, scale, and operationalize state-of-the-art machine learning solutions.• Create scalable and resilient ML pipelines for predictive analytics, enhancing key performance indicators such as member engagement and revenue.• Implement robust monitoring processes for production ML pipelines.• Support production systems to deliver batch and real-time streaming model predictions.• Engage actively in solution design and modeling, ensuring adherence to best practices and ML architectural principles.• Partner closely with Product, Engineering, and Marketing teams to develop data-driven ML solutions addressing critical business questions.• Deploy models, assess their performance, and continuously refine them.• Oversee model retraining, drift monitoring, pipeline automation, quality control, and governance of production models.• Collaborate with the Operations team to ensure effective production support.CANDIDATE PROFILE:• Minimum of 4 years of experience in ML pipelines and ML-focused Python development.• Strong understanding of software engineering principles and practices.• Proficient in RESTful APIs.• Experienced in building ML and LLM-based recommendation systems.• Proven track record in designing and developing backend components optimized for low-latency and high-performance applications.

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

***English version below***Travel transcends destinations; it is woven from the memories created along the way. At Plusgrade, we are committed to redefining the future of travel by partnering with over 250 airlines, hotels, cruise lines, rail networks, and financial services to create meaningful new revenue streams through exceptional customer experiences. Grounded in our core values of ambition, innovation, and collaboration, we are continuously driven to push boundaries, exceed expectations, and harness the best of everyone. We cultivate a culture that believes our strength lies in our unity, working together to build an extraordinary future in the travel industry. Join us in transforming everyday journeys into truly remarkable experiences.ABOUT THE POSITIONAs a Machine Learning Engineer within the ML Applications team, you will be responsible for designing, developing, and deploying innovative machine learning platform solutions to tackle complex business challenges. This role requires a strong software development background, a keen interest in cutting-edge technologies, excellent problem-solving skills, and the ability to work both independently and collaboratively in a fast-paced environment.This position reports to the Director of ML Applications.YOUR RESPONSIBILITIES:• Collaborate within a small team passionate about scaling the use of ML applications across the organization.• Productionize, scale, and commercialize state-of-the-art machine learning solutions.• Design and develop scalable and robust ML pipelines to enable predictive data usage by downstream applications, enhancing key performance indicators (KPIs) such as member engagement and revenue.• Create and implement robust processes for monitoring production ML pipelines.• Support production systems to deliver batch and real-time model predictions to all applications.• Actively participate in solution design and modeling to ensure ML products are developed according to best practices, standards, and ML architecture principles.• Work closely with our product, engineering, and marketing teams to develop data and ML solutions that address critical business questions.

toloka-ai seeks a Freelance Machine Learning Developer for a contract position on its remote team. This role centers on building and improving AI systems for ongoing projects. Key responsibilities Collaborate with a distributed team to develop and enhance machine learning models Apply technical skills to projects that explore new AI methods Support the company’s machine learning work through hands-on development Location This position is fully remote and available to candidates residing in Manitoba, Canada.

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.

Who We AreSamsara (NYSE: IOT) leads the way in the Connected Operations™ Cloud, a platform designed to empower businesses reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational improvements. At Samsara, we strive to enhance safety, efficiency, and sustainability across industries that are vital to our global economy, such as agriculture, construction, field services, transportation, and manufacturing. Our mission is to digitally transform these sectors at scale.Joining Samsara means playing a key role in defining the future of physical operations and collaborating on a diverse range of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As a recently public company, you will have the freedom and support to make a significant impact as we build for the future.About the Role:We are in search of a Senior Machine Learning Engineer to spearhead the evolution of our safety systems architecture. You will drive the transition of our ML stack from isolated, end-to-end models to a cohesive Perception Platform Layer. Your objective is to develop a robust infrastructure that converts raw sensor data into immediate, high-stakes decisions, guaranteeing the reliable performance of our models in both cloud and edge environments.This position is fully remote for candidates located in Canada.You Should Apply If:You want to make a meaningful impact on essential industries: The software, firmware, and hardware you develop will lead to tangible outcomes—ensuring essential services are maintained, food reaches grocery stores, and, most importantly, that workers return home safely.You aspire to build for scalability: With over 2.3 million IoT devices deployed to our global clientele, you will engage with a variety of new and established technologies, fostering innovative solutions that propel the physical operations of the world's industries.You are a lifelong learner: Our ambitious goals require a growth mindset, as we navigate a broad spectrum of technologies, challenges, and customer needs.

Join Us in Shaping the Future of AI and Data!At Datatonic, recognized as a premier partner in AI for Google Cloud, we are at the forefront of technological transformation for leading global enterprises. Our expertise ranges from machine learning and data engineering to analytics, all within the Google Cloud Platform ecosystem. Collaborating with us enables our clients to future-proof their operations, harness actionable insights, and maintain a competitive edge in a fast-evolving landscape.Your MissionIn the role of a Senior Machine Learning Engineer, you will craft elegant, efficient code in Python and take pride in your engineering output. You will champion high-quality development practices for both production software and rapid prototypes.Although the position is predominantly hands-on, we are particularly interested in candidates ready to lead projects and engage actively in client discussions. Key responsibilities include establishing trusted relationships with clients, creatively applying machine learning to resolve challenges, defining project scopes, and managing the successful delivery of engagements.To excel in this role, you should possess robust ML and Data Science fundamentals, along with proficiency in selecting appropriate tools for diverse ML use cases. Comfort with model optimization and deployment practices is essential. Additionally, you should exhibit exceptional communication and consulting skills, with a commitment to addressing real business needs through innovative AI and Cloud solutions.

Tiger Analytics is seeking a talented and forward-thinking Senior Machine Learning Engineer with extensive hands-on experience in Google Cloud Platform (GCP) and Vertex AI. In this pivotal role, you will be responsible for designing, building, and deploying scalable machine learning solutions, while operationalizing ML models and managing the complete ML lifecycle from data ingestion to model serving and monitoring.Key Responsibilities: Develop, train, and optimize machine learning models utilizing Vertex AI, leveraging Vertex Pipelines, AutoML, and custom model training techniques. Design and construct scalable ML pipelines for feature engineering, model training, evaluation, and deployment. Deploy models to production via Vertex AI endpoints and ensure seamless integration with downstream applications or APIs. Collaborate closely with data scientists, data engineers, and MLOps teams to foster reproducible and dependable ML workflows. Monitor model performance, establish alerting systems, retraining triggers, and drift detection mechanisms. Utilize GCP services such as BigQuery, Dataflow, Cloud Functions, Pub/Sub, and GCS throughout ML workflows. Apply CI/CD principles to ML models using Vertex AI Pipelines, Cloud Build, and GitOps practices. Implement model governance, versioning, explainability, and security best practices within Vertex AI. Document architectural decisions, workflows, and model lifecycles clearly for internal stakeholders.

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of contact centers. Our innovative platform fuses advanced AI with human insight, enabling contact centers to uncover customer insights, streamline processes, and enhance team productivity. Founded by the renowned Sebastian Thrun, a pioneer from the Stanford AI lab and visionary behind Google X, Waymo, and Udacity, our leadership team also includes CEO Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI.Join us on an exhilarating journey to redefine the future of work with AI technology. The revolution begins at Cresta.

About Datatonic Datatonic stands as Google Cloud's top partner in AI, specializing in machine learning, data engineering, and analytics. The team helps clients across industries use advanced technology on Google Cloud Platform to modernize operations and uncover valuable insights. Role Overview The Senior Machine Learning Engineer position is a hands-on technical role based in Canada. This engineer writes production-quality Python code and prototypes solutions to complex problems. The role involves leading projects, collaborating closely with clients, and delivering reliable machine learning systems that address real business needs. What You Will Do Develop and maintain machine learning models using Python Apply strong engineering practices to both production systems and prototypes Lead project delivery and help scope new engagements Work directly with clients to understand challenges and deliver tailored solutions Build and maintain trusted client relationships What We Look For Solid foundation in machine learning and data science Experience selecting tools and methods for different ML applications Proficiency in optimizing and deploying ML models Strong communication and consulting skills Ability to deliver innovative AI and Cloud solutions for clients

At Affirm, we are transforming the credit landscape to offer a more honest and user-friendly experience, empowering consumers with the freedom to buy now and pay later, free from hidden fees and compounding interest.As a Senior Staff Machine Learning Engineer, you'll be a critical member of our pioneering machine learning team. Committed to Affirm’s mission of enhancing financial services with transparency and inclusivity, you will leverage cutting-edge machine learning technologies to ensure our financial products are responsible and accessible.In this influential role, you will help define the future of machine learning at Affirm. Collaborating with teams across ML Platform, engineering, product, and risk, you will design, implement, and scale sophisticated modeling strategies that inform vital decisions throughout the organization. You'll elevate our modeling capabilities, impact architectural strategies, and ensure our systems are equipped to handle increasingly complex workloads. As a mentor to senior engineers, you will provide clarity on intricate and ambiguous challenges while contributing to our comprehensive long-term machine learning strategy. If you are passionate about modern machine learning and eager to drive significant innovation in a rapidly evolving environment, Affirm is the perfect place for you.

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.

Discover More About Our TeamWe are on the lookout for a talented Machine Learning Engineer to join our Customer Value Forecasting team within the Customer Value Optimization department at HelloFresh. In this role, you will play a pivotal part in developing innovative machine learning products that enhance our value forecasting capabilities. You will tackle advanced forecasting challenges, leveraging AI technologies to produce solutions that directly influence business performance. Your expertise will be critical in designing and constructing scalable, robust, and efficient machine learning systems that can manage vast datasets and complex models.Your ResponsibilitiesWork collaboratively with data scientists and engineers in a cross-functional team to enhance HelloFresh’s value forecasting efficiency.Engage with product managers and business stakeholders to gather requirements and translate them into actionable machine learning products and analyses.Rapidly develop proof-of-concept machine learning models and iterate on them to transition into production-ready solutions with mentorship from senior team members.Assess the performance of machine learning models and provide insights for enhancements.Keep abreast of the latest developments in machine learning and artificial intelligence, proposing and implementing improvements to streamline the machine learning development lifecycle and increase team efficiency.Perform other duties as assigned.Why You’ll Be a Great FitA strong enthusiasm for addressing complex business challenges through machine learning in a dynamic environment. Prior experience in machine learning applications for marketing is advantageous.Proficient programming skills in Python and SQL; experience with PySpark is a bonus.Hands-on experience in designing and maintaining large-scale machine learning systems for production, including model monitoring and drift detection.Quickly adapt to new technologies and modeling methodologies while effectively solving real-world business challenges.A keen interest in utilizing modern data science tools such as cloud development, version control, CI/CD, model registries, and feature stores.Strong communication skills to convey complex technical concepts to both technical and non-technical audiences.What We OfferBox Discount - Generous discounts on one box per week! Enjoy a 75% discount on weekly HelloFresh boxes.

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. Location This position is based in Toronto at Movable Ink.