Work with customers to develop requirements and scope for new AI/ML projects.
Develop computer vision and machine learning based solutions for inspection platforms.
Analyze large datasets to extract meaningful insights and drive business decisions.
Loram provides advanced insights into inspection data collected for customers worldwide. The company has a small, collaborative team managing the entire project lifecycle, offering employees an outsized impact on inspections and maintenance recommendations.
Work directly with CV researchers to understand their goals, review their code, and engineer it for reliability and performance at scale.
Profile and optimize performance-sensitive code across both training and real-time inference.
Identify patterns across research efforts and propose standardized, composable abstractions.
GameChanger believes in the life changing impact youth sports have on and off the field. By building the first and best place to experience the youth sports moments important to their community, they are helping families elevate the next generation through youth sports. They are a remote first, dynamic tech company based in New York City, and they are solving some of the biggest challenges in youth sports today.
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!
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.
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.
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
AssemblyAI builds best-in-class Speech AI models that power the next generation of voice applications. They are a remote team building one of the next great AI companies where teammates define and build their company culture.
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.
Investigate new feature extraction and data augmentation techniques for generative image/video detection.
Collaborate with scientists and engineers across the organization. Perform research into deepfake image/video detection.
Aid in integrating insights gained from research into RD products.
Reality Defender, Inc. focuses on detecting and defending against manipulated media. We didn't find information about company size, culture, or number of employees.
Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI
Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams
Operate and maintain production applications at scale, ensuring high availability, performance, and reliability
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. Valued at over $1 billion, SmartAsset has earned recognition on the Inc. 5000 and Deloitte Technology Fast 500 lists.
Build and productionize reusable MLOps components supporting scalable and reliable ML workflows.
Establish strong ML lifecycle practices including experiment tracking, evaluation, and reproducibility.
Enable robust and monitored ML systems aligned with healthcare-grade reliability and compliance requirements.
Neko Health aims to shift healthcare from treating illness to preventing it, using advanced, non‑invasive technology and clinical expertise to deliver early, actionable health insights. The company has nearly 100 full-time engineers and supports a flexible workplace that prioritizes work-life balance.
Develop, train, fine-tune, and deploy machine learning models.
Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) Systems, NLP, and computer vision.
Design and develop RESTful APIs for AI model deployment using Flask or FastAPI.
Jobgether is a platform that partners with companies to connect them with talent. They use an AI-powered matching process to ensure applications are reviewed quickly and fairly.
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.
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.
Build and manage the full ML lifecycle—from experiment tracking to model deployment and retraining.
Implement ML-specific CI/CD (e.g., CML, Kubeflow Pipelines) to automate the promotion of models to production.
Architect distributed systems for large-scale model inference.
Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group, recognized as Hungary’s most attractive employer in 2025. They provide IT and telecommunications services with more than 5300 employees, serving hundreds of large customers in Germany and other European countries.
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.
Torc is an autonomous vehicle technology company that aims to transform how we travel, move freight, and do business. They develop software for automated trucks and partner directly with a truck manufacturer.
Building, testing, and shipping ML-powered features that enhance our ad generation experiences
Designing scalable ML pipelines in collaboration with our platform teams
Working closely with PMs, designers and engineers to align on user needs and product direction
Canva is a company that is redefining how the world experiences design. They have a flagship campus in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, Adelaide, and Auckland, NZ. You have flexibility in how and where you work.
Design and own CI/CD pipelines for ML/AI workflows.
Build and maintain scalable ML/AI infrastructure on cloud platforms.
Equip is a virtual, evidence-based eating disorder treatment program. They aim to ensure everyone can access effective treatment, operating in all 50 states and partnering with major health insurance plans, recognized for its engaged culture and sustainable treatment.