Machine Learning Engineer / Research Engineer (Contractor)

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 cl…

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.

Join Spotify's innovative Platform Mission as a Data Scientist, where you'll leverage data-driven insights to enhance our platform's capabilities. Collaborate with cross-functional teams to design and implement models that drive strategic decision-making and improve user experience.

We are seeking innovative and driven Data Scientists with a strong passion for tackling real-world challenges. You will thrive in environments that require working with both structured and unstructured data and will be motivated to develop and deploy scalable machine learning models. This role demands exceptional critical thinking and problem-solving abilities.

Join Movable Ink as a Senior Engineer on our Data Platform team, where you will be instrumental in architecting and developing the systems that facilitate data flow across our organization. In this pivotal role, you will contribute to the creation and maintenance of a unified data platform that is responsible for ingesting, processing, and serving substantial volumes of data that underpin our innovative products. Collaborating with cross-functional teams in engineering, analytics, and infrastructure, you will design scalable data ingestion pipelines and backend services that seamlessly integrate data from diverse sources while ensuring reliability, governance, and high availability. Your expertise will guide the modernization of legacy data pipelines towards contemporary architectures, enhancing the cohesion of our products and services in their data access. Your contributions will significantly influence the evolution and enhancement of Movable Ink’s offerings.Key Responsibilities:Contribute to the design and implementation of robust data ingestion pipelines and infrastructure.Facilitate the migration of legacy data management processes to a new platform, ensuring minimal disruption for current data consumers.Establish and monitor SLIs and SLOs for the new data platform, utilizing dashboards and alert alerts to ensure optimal performance.Create a versatile data storage layer that accommodates various use cases, including transactional, analytical, and machine learning workloads.Develop comprehensive monitoring and incident response protocols for all data pipelines and services.Partner with product engineering, analytics, and machine learning teams to define data access strategies.

Role Overview Paytm is hiring a Staff AI Platform Engineer in Toronto, Canada, with a focus on Inference and Agentic Systems. This role centers on designing and improving AI-powered platforms that support intelligent, agent-like features for users and business applications. What You Will Do Work with a skilled team to build and refine AI solutions that support agentic behaviors and inference-driven capabilities. Apply experience in machine learning, software engineering, and system architecture to develop and scale reliable AI platforms. Contribute technical leadership and hands-on expertise to projects that advance Paytm’s AI offerings. Key Skills Deep knowledge of machine learning and inference methods Strong background in software engineering Experience designing and maintaining complex system architectures

At d-Matrix, we are pioneering the potential of generative AI to transform the technology landscape. Positioned at the cutting edge of both software and hardware innovation, we continuously strive to expand the horizons of what can be achieved in this dynamic field. Our workplace culture is built on the principles of respect and collaboration.We emphasize the importance of humility and open communication. Our inclusive team thrives on diverse perspectives, which lead to innovative solutions. We are on the lookout for motivated individuals who are passionate about overcoming challenges and are driven by tangible outcomes. Are you ready to explore your playground? Together, we can unlock the infinite possibilities of AI.Job Title: Software Engineering Intern - KernelsLocation: Toronto, CanadaProgram Duration: 12 weeks: June 1st - August 21st or June 22nd - September 11thProject Overview:As a Software Engineering Intern on our Kernels team, you will have a significant impact on the development of high-performance kernels that are crucial for accelerating machine learning models. Your role will encompass creating reference implementations for accuracy verification, defining unit tests for the implemented operators, optimizing performance, conducting scalability analysis across varying problem sizes, and packaging and shipping the final implementations. You will also gather performance metrics and identify bottlenecks to enhance core functionality.What You Will Do:Implement high-performance kernels using low-level languages (Assembly/ISA experience is a plus).Develop, test, and optimize kernels for machine learning models and performance.Automate the creation of reference implementations and unit tests.Analyze scalability and performance, collect metrics, and troubleshoot bottlenecks.Package and share implementations with partner teams.

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.

Cresta is dedicated to transforming customer interactions into a strategic edge by harnessing the full potential of contact centers. Our innovative platform merges advanced AI capabilities with human intelligence, enabling contact centers to uncover valuable customer insights, streamline conversations, automate inefficient processes, and empower team members to enhance productivity. Founded by visionary leaders from the esteemed Stanford AI lab, including Sebastian Thrun, known for his groundbreaking work with Google X and Waymo, Cresta's leadership also features Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI.Embark on an exhilarating journey with us to redefine the workplace through AI. The future of work is unfolding at Cresta.About the Role:The Knowledge Assist (KA) team at Cresta is at the forefront of developing AI solutions tailored for the contact center industry, with a primary focus on enhancing agent productivity by ensuring access to the right knowledge at the right moment.Current projects include:Generative Knowledge Assist (GenKA): Provides real-time, context-aware suggestions for contact center agents, integrating multiple knowledge bases to facilitate quick information retrieval and ensure accurate responses.Knowledge Search (KS): A custom search experience designed specifically for contact center agents, built on the GenKA infrastructure, with aspirations to evolve into a comprehensive enterprise search solution.Retrieval-Augmented Generation (RAG): A pivotal initiative supporting GenKA and KS, focusing on efficient retrieval of relevant knowledge and generating ready-to-use responses based on this knowledge.Our internships are set in a dynamic, fast-paced environment where collaboration with top researchers and engineers is encouraged. Interns will have the opportunity to contribute to significant AI research and implement innovative techniques at scale.This internship offers a rare chance to influence the future of AI at Cresta by tackling complex challenges and introducing groundbreaking AI advancements into real-world applications.

Join shyftlabs as a Sales Engineer specializing in AI and Data Platforms. In this role, you will leverage your technical expertise to support the sales team in delivering innovative solutions to our clients. You will work closely with customers to understand their needs and demonstrate how our products can drive their success. Your ability to communicate complex technical concepts in an understandable way will be key to your success.

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.

Join Warner Music Group, a vibrant global community of music creators, innovators, and passionate professionals. Here, we transform dreams into reality and cultivate fandoms that resonate worldwide. Our operations are anchored by three fundamental values that guide our diverse endeavors: • Curiosity: Our creativity flourishes when we explore culture and push boundaries. Curiosity fuels our innovation, which is essential for our future success.• Collaboration: The essence of music-making lies in originality enhanced by teamwork. Great ideas resonate globally, and we ignite passion and forge connections within our diverse network of artists, songwriters, partners, and fans.• Commitment: We strive for excellence for our team and our talent. Every aspect of music involves venturing into the unknown, and we are dedicated to maintaining integrity and fulfilling our promises.Technology is integral to our business. From onboarding new artists to delivering precise data to platforms like Spotify and YouTube, or empowering artists with cutting-edge AI tools and insightful data, technology is the backbone of our success. Our engineering team at Warner Music Group brings these visions to life.We proudly represent a diverse array of artists, musicians, and songwriters who contribute to our achievements. We are committed to fostering a work environment that values, appreciates, and respects every individual, encouraging applications from candidates with a variety of backgrounds and experiences.Consider a career at WMG, where you can enjoy the dynamism of a global music powerhouse while embodying the creative spirit of an independent entity.Your Role:We are developing the next-generation Data Platform, designed to set benchmarks in freshness, accuracy, comprehensiveness, and usability, to empower Warner Music Group’s operations. We are reengineering this platform from the ground up, encompassing:

Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.

We are seeking dedicated Machine Learning Engineers with a passion for developing innovative systems utilizing large language models (LLMs) and real-world data. In this dynamic role, you will collaborate with clients and team members to design, prototype, and implement scalable machine learning solutions that drive results.Join our high-performing, collaborative team that prioritizes clear communication, practical execution, and continual learning. If you excel in fast-paced environments, enjoy solving complex problems, and are committed to the quality and impact of your work, we would love to hear from you.

Join Tiger Analytics, a dynamic and rapidly expanding advanced analytics consulting firm recognized for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We partner with leading Fortune 100 companies to unlock the potential of their data, driving substantial business value. Acknowledged by Forrester and Gartner for our leadership in the analytics space, we are on the lookout for exceptional talent to help build the world’s premier analytics consulting team.We are currently seeking a skilled Data Engineer proficient in Dataiku to join our innovative data team. In this role, you will design, construct, and maintain data pipelines, integration processes, and infrastructure. Working closely with data scientists, analysts, and other key stakeholders, you will facilitate efficient data flow and empower data-driven decision-making throughout the organization.

About IdeogramAt Ideogram, we are on a mission to democratize world-class design, enhancing human creativity through innovative solutions. Our proprietary generative media models and AI-driven creative workflows address previously unsolved problems in graphic design. Our team is composed of pioneers with proven success in technology breakthroughs, including foundational research in Diffusion Models and the development of Google’s Imagen and Imagen Video. We prioritize design, aesthetics, and craftsmanship, alongside rigorous research and engineering, delivering experiences that resonate with creatives.With nearly $100 million raised from leading investors like Andreessen Horowitz and Index Ventures, Ideogram is headquartered in Toronto and expanding rapidly, aiming to triple our team this year. We foster a flat organizational structure, encouraging a culture of ownership, collaboration, and mentorship.Discover more about our innovations by exploring Ideogram 3.0, Canvas, and Character. Experience Ideogram at ideogram.ai.About The RoleWe are searching for a talented Software Engineer specializing in ML Data Infrastructure to join our innovative team. You will collaborate with a group of skilled engineers to create cutting-edge AI design experiences that engage millions of users.You will thrive in this role if you are passionate about:Collaborating on complex technical challenges, from scaling distributed systems to enabling novel generative media experiences.Constructing robust data infrastructure capable of supporting foundation models at petabyte scale, ensuring reliability and performance across multi-modal training pipelines.Optimizing data processing workflows for high throughput, engaging directly with distributed systems, TPU infrastructure, and large-scale storage solutions.Partnering with research scientists to grasp data requirements and translating them into production-grade systems that expedite model development cycles.What We’re Looking ForTechnical Excellence2-5 years of experience in developing and deploying large-scale distributed systems, showcasing the ability to manage complexity through thoughtful abstractions and scalable design.Strong grasp of data structures, algorithms, and system design principles.

Welcome to OktaAt Okta, we are redefining identity management. We empower individuals to securely access any technology, from any device or application, fostering a transformative approach to business security and growth. Our innovative solutions, including the Okta Platform and Auth0 Platform, prioritize identity at the heart of operational success.We value diverse perspectives and experiences, seeking lifelong learners who contribute to our dynamic culture.Join us as we shape a future where identity is truly in your hands.Are you driven to tackle complex data challenges and make a significant impact? Do you want to collaborate with a passionate team of cloud engineers and architects? If yes, we want to hear from you!The Auth0 platform manages over 100 million logins daily for clients worldwide and is rapidly expanding. As part of the Data Platform team, you will be instrumental in developing and managing essential data services that enable scalability, reliability, efficiency, and operational excellence. In your role as Senior Manager, you will collaborate with engineers across departments, guide the platform roadmap, and establish the foundational infrastructure for Auth0's future growth.As a leader, your passion for developing high-performing teams and your ability to coordinate across organizations will make you an ideal fit for this position!Your Responsibilities Include:Leading a diverse, agile software development team focused on delivering value with expertise in distributed systems, cloud infrastructure, and site reliability engineering.Fostering a culture of discovery, learning, and experimentation within a geographically distributed team through continuous coaching and mentoring.Collaborating closely with architects and engineers to design scalable, robust, and extensible services using modern technologies such as Go, Node.js, Kubernetes, Docker, AWS, and Azure.Building and managing data streaming teams utilizing event-driven architecture and Kafka.Partnering with product management and engineering leadership to define a platform roadmap that supports the next generation of identity products, overseeing planning, execution, and delivery of data platform services.Implementing process improvements to drive operational excellence and efficiency during a period of significant growth.

Join Waabi as a Senior / Staff Software Engineer specializing in machine learning datasets and data pipelines. In this pivotal role, you will architect and develop robust data solutions that drive our cutting-edge autonomous vehicle technology. Your expertise will help streamline data collection, processing, and analytics to enhance our machine learning models.

Join Lyft's innovative Telematics team as a Senior Backend and Data Engineer, where your expertise will directly contribute to enhancing safety and affordability within our ride-sharing platform. In this role, you'll develop and maintain high-frequency data processing systems, utilizing our advanced technology stack, including AWS, Kubernetes, Spark, and Apache Airflow. Collaborate with passionate colleagues across software engineering, machine learning, and data science to transform telematics data into actionable insights that drive our mission of reducing accidents and improving the rider and driver experience.

Role Overview The University Health Network in Toronto is seeking a Postdoctoral Researcher to advance machine learning research in multimodal healthcare AI. This position centers on developing new approaches to improve healthcare outcomes by applying advanced AI methods to complex data. What You Will Do Develop and implement machine learning algorithms for healthcare applications Analyze large, multimodal datasets from clinical and research sources Collaborate with a multidisciplinary team, including clinical experts and researchers Translate research findings into insights that support clinical decision-making Collaboration and Impact This role works closely with professionals from diverse backgrounds. The research aims to create practical solutions that can be applied in real healthcare settings, contributing to better patient care and outcomes.