Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production
Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs
Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability
Own SentiLink’s real-time ML model monitoring domain.
Own our ML experimentation, model tracking, and versioning infrastructure.
Drive improvements to the model development process.
SentiLink provides identity and risk solutions for secure transactions. They are backed by investors like Craft Ventures and Andreessen Horowitz, recognized by Forbes Fintech 50, and have offices across the U.S. and India.
You will work to build, maintain and improve our Torc ML frameworks.
You have built ML solutions that have reached production.
You want to build, maintain, grow, and improve our ML platform.
Torc has been a leader in autonomous driving since 2007. Now a part of the Daimler family, they are focused solely on developing software for automated trucks to transform how the world moves freight.
Architect and optimize distributed training and inference systems for large-scale AI models
Design and deliver customer-focused solutions that maximize performance and business value
Lead the transition of ML pipelines from POC to scalable production systems
The company offers an AI-centric cloud platform reshaping the landscape of artificial intelligence. They provide infrastructure, tools, and services for developers to service the explosive growth of the global AI industry, catering to Fortune 1000 companies, startups, and AI researchers.
Support the full operational lifecycle of both traditional machine learning systems and emerging generative AI driven applications.
Enable scalable training, evaluation, deployment, and monitoring for a wide range of ML and GenAI workloads.
Manage model upgrades, framework versions, regression testing, maintenance tasks and maintaining performance across systems and solutions.
Achievers' employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. They're a team of passionate, thoughtful builders with more than 4.3 million users across 190 countries, who care deeply about their product, their customers, and each other.
Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks.
Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks.
Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones.
Loopio provides a workplace that recognizes the advantages of working flexibly, operating as a remote-first company. They have established hub regions around the world and foster a supportive culture with opportunities for connection.
Partner with stakeholders to tackle technical problems at scale, building framework agnostic services.
Establish roadmap and architecture for Wealthsimple’s Machine Learning platform.
Build highly performant scalable systems, contributing to our ML platform on Kubernetes, Bedrock and Sagemaker.
Wealthsimple aims to provide financial freedom by making financial services transparent and low-cost. As the largest fintech company in Canada, with over 1,500 employees, they manage over $100 billion in assets and foster a collaborative and quality-focused culture.
You own uptime, observability, incident response, and root cause analysis.
Own the AWS architecture.
Make ML pipelines reliable.
Ferra is building AI infrastructure for structural steel estimation. They process large-scale construction drawing PDFs, run computer vision + LLM pipelines, and generate structured steel graphs, takeoffs, and export-ready models. The team is small and technical, which means high ownership, fast decisions, and work has a direct impact on the core product.
Contribute to the development of the Everywhere Inference platform, a Kubernetes-based solution.
Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications.
Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and seamless autoscaling.
Gcore provides infrastructure and software solutions for AI, cloud, network, and security. They have 550+ professionals globally and collaborate with technology partners such as Intel, NVIDIA, Dell, and Equinix.
Build scalable Edge infrastructure, designing, developing, and maintaining delivery systems to deploy models to fleets of devices.
Work with cross-functional teams, collaborating with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities.
Drive automation and reliability, implementing infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift.
Hudl builds great teams and hires the best of the best to ensure you’re working with people you can constantly learn from. They work hard to provide a culture where everyone feels supported, and their employees feel it, helping them become one of Newsweek's Top 100 Global Most Loved Workplaces.
Design, build, and maintain machine learning model productionization infrastructure.
Streamline model training, validation, and deployment in collaboration with the data science team.
Implement robust monitoring and alerting for model performance, drift, and data quality.
The Athletic delivers in-depth coverage of sports, teams, and athletes. Their newsroom of 500+ full-time staff covers hundreds of professional and college teams across North American markets and football clubs.
Lead our AI & Data department with autonomy as a proactive tech enthusiast.
Develop, train, validate, optimize, and maintain Machine Learning models.
Extract, clean, validate large datasets, and interpret data for business opportunities.
Everfield buys, builds, and grows European vertical market and specialist software companies, providing them with the tools they need to move to the next level. Companies in the Everfield ecosystem follow a decentralised model, maintaining their team, brand, and offices, while focusing on what they do best - building products and supporting customers.
Building world-class AI infrastructure to support a 100+ person research team.
Designing and scaling multi-cloud systems that support high-performance model training and inference.
Improving monitoring, alerting and system observability for AI workloads
Canva is redefining how the world experiences design. It has campuses in Sydney and Melbourne, and co-working spaces in other major cities, trusting employees to choose the balance that empowers them and their team to achieve their goals.
Design, build, and deploy machine learning models to improve the accuracy of design imports.
Integrate ML systems into high-performance backend and rendering pipelines.
Define data strategies to continuously improve model performance.
Canva is a design platform that empowers anyone, anywhere to create designs. They have campuses in Sydney and Melbourne, and coworking spaces in other locations throughout Australia and New Zealand, and offers a flexible work environment.
Define and evolve the technical vision for AI and agentic systems across products.
Design orchestration, data, and serving patterns that handle global scale with reliability.
Collaborate with AI Research to turn prototypes into extensible, governed production frameworks.
KnowBe4 is a cybersecurity company that puts security first, empowering over 70,000 organizations worldwide to strengthen their security culture. They value radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves.
Co-create evaluation frameworks, proctoring solutions, and critical security mechanisms.
Evaluate and implement state-of-the-art AI/ML techniques.
Design, build, and deploy scalable AI services and pipelines.
The company develops and scales a global Certification-as-a-Service platform that automates the entire lifecycle of professional exams. The solution enables companies and organizations to quickly and inexpensively create and administer official online exams/certifications.
Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets.
Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.
Write clean, efficient, and modular code, with automated tests and appropriate documentation.
Turnitin partners with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. They are a global organization with team members in over 35 countries that embraces diversity, respects local cultures, and has a remote-centric culture.
Lead and manage a team of ML engineers, scientists, and researchers, fostering mentorship, development, and retention.
Execute the machine learning roadmap, focusing on 3D deep learning, computer vision, and generative AI applications.
Partner with product, engineering, and research stakeholders to align technical strategy with business objectives.
Jobgether is using an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They appreciate your interest and wish you the best!
Define requirements with stakeholders to solve problems.
Develop machine learning models for various data types.
Automate complex data engineering and analytic pipelines.
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
Translate complex business problems into solutions that leverage end-to-end, production-level machine learning systems
Develop, iterate on, and productionize machine learning models, owning both model logic and supporting systems.
Implement and own backend pricing services and APIs consumed by the Lime App.
Lime is a global shared micromobility business, operating in close to 30 countries. They are on a mission to build a future where transportation is shared, affordable, and carbon-free. They consider themselves an equal opportunity employer with a diverse and inclusive culture.