Machine Learning Engineer for Growth at HelloFresh

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 a…

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.

The Growth Tech Alliance at HelloFresh is dedicated to transforming our marketing strategies by harnessing the power of AI-driven automation, intelligent systems, and advanced optimization techniques. We have developed innovative methodologies for programmatic campaign optimization utilizing cutting-edge AI/ML technologies, and we are now expanding these capabilities across our global marketing operations. Our team is responsible for designing, developing, and maintaining autonomous decision-making systems, sophisticated ML models for marketing optimization, and real-time intelligence that generates significant business outcomes. We operate at the intersection of modern AI architectures, deep statistical modeling, and enterprise-scale ML operations. About the Team As a Senior Data Scientist in our AdTech division, you will play a pivotal role in designing, building, and deploying high-quality machine learning models aimed at maximizing marketing ROI. Your expertise will be essential in enhancing our intelligent marketing optimization systems, overseeing the entire ML lifecycle from data preprocessing and feature engineering to large-scale deployment and performance monitoring. By translating intricate marketing challenges into robust production systems, you will ensure our AI capabilities yield measurable business impact and improved efficiency on a global scale. Key Responsibilities Develop, build, and refine advanced machine learning models across primary adtech domains to optimize marketing performance and facilitate efficient marketing workflows. Design and implement ML models for Media Optimization, contributing to their integration into high-impact production environments. Enhance Creative Automation initiatives by developing predictive AI models that assist our global production studios. Create and implement ML models for Value Optimization to intelligently identify high-value customers. Contribute to the team's ML operations (MLOps) practices, focusing on experiment tracking, system observability, and model reliability in production. Rapidly prototype innovative machine learning solutions, including Gen AI-forward methodologies, and integrate them within our orchestrated multi-agent systems to enable complex autonomous workflows. Work collaboratively with Product, Engineering, and Marketing teams to identify high-impact programmatic automation opportunities and execute rigorous A/B testing and experimentation designs in challenging environments. Perform other duties as assigned.

Join Our Dynamic Team As a Senior Staff Analytics Engineer at HelloFresh, you will play a pivotal role as the technical architect and strategic leader for our data assets that drive growth on a global scale. At HelloFresh, data-driven decision-making is embedded in our company culture; your extensive experience in both technical and business domains will empower us to make informed and swift decisions. You will collaborate with various teams within the Growth Alliance, including Conversions, Payments, Pricing/Benefits, Communications, and Adtech, proactively identifying opportunities and developing robust data infrastructures for insightful analytics and AI applications. As a key member of the Growth Analytics team, you will mentor fellow team members and champion the integration of innovative technologies and methodologies. Key Responsibilities Lead Data Quality & Strategic Optimization: Serve as the final authority on SQL/Python reviews, addressing systemic issues, managing non-functional requirements like global scalability, and making crucial design trade-offs in challenging scenarios. Architect Robust Data Models & AI Foundations: Spearhead the design of scalable models and establish AI-ready data foundations. You will implement medallion architecture (Bronze to Gold) to ensure high-quality feature engineering and create data sets that accurately reflect intricate business logic. Drive Pipeline Stewardship & Best Practices: Take full responsibility for pipeline reliability while defining the tooling roadmap. Lead significant migrations, establish monitoring strategies for latency and throughput, and promote the adoption of new technologies such as DBT and observability tools. Enable Cross-Functional Strategy & Mentor the Team: Collaborate with leadership to convert business objectives into technical roadmaps while mentoring and scaling the team effectively.

Role overview HelloFresh seeks an Engineering Manager for Growth based in Toronto, Ontario. This position leads a team dedicated to enhancing product features and driving customer engagement. The focus is on scaling initiatives that support customer satisfaction and retention, ensuring solutions meet both user needs and business goals. What you will do Lead and mentor engineers working on projects that drive growth and engagement. Work closely with teams across HelloFresh to ensure engineering efforts align with broader business objectives. Use technical expertise and strategic insight to shape and expand growth-focused initiatives. Oversee the delivery of new features and improvements designed to keep customers engaged and satisfied with HelloFresh products.

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

“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 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.

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.

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.

Join Stripe as a Machine Learning Engineer focused on supportability. In this role, you will leverage machine learning techniques to enhance product support and improve user experience. You will work collaboratively with cross-functional teams to develop innovative solutions that address customer needs.

Role overview Aerovect is looking for a Machine Learning Operations Software Engineer to join the team in Toronto. The position centers on building and deploying machine learning models that support the company’s products. The main focus is on refining workflows, maintaining model reliability, and contributing to the team’s results. What you will do Develop and maintain systems that handle the deployment of machine learning models Collaborate with engineers and data scientists to improve and streamline machine learning processes Help ensure the performance and reliability of Aerovect’s product offerings Location This role is based in Toronto.

About Boson AI: At Boson AI, we are at the forefront of innovative AI solutions, shaping the future of enterprise AI. Our dedication to advanced AI research, especially in the realms of large language models and agentic systems, empowers us to address intricate real-world challenges for businesses and generate substantial value. Our vibrant and collaborative team of researchers and engineers is committed to pushing the limits of possibility, ensuring that we deliver high-quality, reliable products that integrate seamlessly into enterprise workflows and establish new benchmarks in the industry.About the Role: We are looking for a talented, detail-oriented, and driven Machine Learning Engineer to join our enterprise team. In this crucial position, you will spearhead the development and deployment of innovative AI solutions. This role entails integrating sophisticated language, voice, and vision models, mastering fine-tuning methodologies, constructing advanced workflows and platforms, and pioneering novel agentic strategies. You will engage with challenging problems that require a profound understanding of model behavior, precise implementation, and an unwavering dedication to quality and reliability in enterprise settings. A thrilling aspect of this role is your contribution to the architecture and implementation of intelligent systems where AI agents autonomously execute intricate tasks, interfacing with various data sources and tools, as we collectively strive to build truly integrated and powerful AI capabilities for our clients.

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.

Role overview Stripe is hiring a Machine Learning Engineer in Toronto to help improve the support experience for users. This role centers on applying advanced machine learning methods to make customer interactions smoother and support operations more efficient. What you will do Work with cross-functional teams to design and build solutions that strengthen Stripe’s user support systems. Apply machine learning to real-world support challenges, aiming to improve both customer satisfaction and operational efficiency. Contribute to Stripe’s broader goal of growing the GDP of the internet by making support more effective. Location This position is based in Toronto, Canada.

Greetings, Future Homie!Join us at Homebase, where we are passionate about empowering small businesses to flourish. Our dynamic team is driven by empathy, urgency, and a bold approach that leads to meaningful outcomes. At Homebase, every team member contributes to elevating our standards, supporting each other, and celebrating our collective successes.We are not merely developing an application; we are fostering unstoppable teams. Are you ready to join us?Your Impact Begins HereAs a Platform Engineer, you will play a key role in designing and implementing components for our data and ML platforms. Your contributions will empower data engineering, data science, and product teams to create features driven by data and machine learning, ensuring that our systems are scalable, reliable, and seamlessly integrated.Architect, develop, and enhance the ingestion processes for large volumes of both structured and unstructured data from a variety of sources.Facilitate data architecture transformation initiatives on Databricks, promoting scalable and efficient systems.Lead the design and implementation of platform components for training, deploying, and monitoring machine learning models in production environments.Provide insights into industry best practices, tools, and technologies in the field of machine learning engineering.Champion continuous enhancements of data and ML workflows through automation and innovative solutions.Own projects end-to-end, ensuring successful delivery from planning to execution.Collaborate with cross-functional teams to gather business requirements and develop effective technical solutions. Key to Your Success - These experiences and strengths will position you for success:Over 5 years of experience in software development, with a focus on data and machine learning.Proficient in SQL, Python, and Databricks.Experience with Airflow, Kafka, and Redshift.Strong skills in data modeling and database design.Expertise in building and deploying machine learning models, including language models.Experience in creating model serving pipelines for batch, streaming, and real-time inference.Demonstrated ability to work collaboratively in a fast-paced environment.

About maneva maneva builds AI systems for manufacturing, using vision and production data to reduce downtime, improve quality, and support worker safety through automation on the factory floor. Role Overview This contract position calls for a Machine Learning Engineer / Research Engineer to join maneva's research and engineering efforts. The role involves close collaboration with a lead researcher and robotics engineers to advance industrial automation solutions. What You Will Do Work alongside a lead researcher to guide modeling choices, run structured experiments, and contribute to academic paper development. Implement and maintain policy training code for methods such as ACT, Diffusion Policy, Pi0 fine-tuning/OpenPi, and baseline techniques. Independently investigate and apply new methods from recent academic literature. Run ablation sweeps, prepare comparison tables and plots, and analyze results to extract insights. Maintain an evaluation harness to support reproducibility across experiments. Conduct literature reviews and organize documentation for ongoing and completed work. Draft and refine technical writing, including methods, experiments, and related work sections. Review training code written by robotics engineers as needed. Location Remote , Toronto, Ontario, Canada

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.

Join RAVL, a leading boutique technology advisory and engineering firm dedicated to transforming the financial services sector. Our mission is to empower clients by maximizing their technology investments and delivering measurable ROI. We are expanding our engineering team and seeking talented Machine Learning Platform Engineers to architect and implement scalable ML solutions for our diverse clientele. Your expertise will be vital in developing cloud-native ML infrastructures, enhancing MLOps capabilities, and facilitating comprehensive model lifecycle management in enterprise settings. This position addresses immediate project demands and anticipates future hiring needs, with an emphasis on constructing robust, production-ready ML systems at scale.

Role Overview HelloFresh is searching for a Product Operations Manager (Menu) to guide the team in Toronto. This role centers on improving the meal experience for customers by managing the day-to-day operations of menu offerings. What You Will Do Oversee daily menu operations, maintaining quality and encouraging new ideas in recipe development. Work closely with teams across the company to support strategic objectives. Drive process improvements that enhance both menu performance and customer satisfaction. Who We’re Looking For A proactive leader who cares deeply about food and pays attention to details. Someone ready to optimize menu operations and help raise the bar for customer experience. Location Toronto, Ontario, Canada