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.
Advanced knowledge of AWS services including ML services (AWS SageMaker and AWS Step Functions).
Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion.
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.
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.
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.
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.
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 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.
Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Develop and maintain backend services using Python, focusing on AI-driven applications.
Design and implement APIs for seamless integration with AI models and services.
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans. They are rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.
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.
Design and implement production-grade RAG pipelines and agentic workflows using Python.
Evaluate new models and prototype approaches for SBIR/government deliverables.
Document architectures and contribute to technical reports for contract deliverables.
Unstructured is focused on transforming unstructured data into a format usable by LLMs. Their Public Sector team works on high-impact contracts and seek to bridge the gap between custom builds and a scalable product roadmap.
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.
Design AI integration patterns and architecture standards across the SaaS platform
Integrate LLM APIs (OpenAI, Anthropic, AWS Bedrock) into production features
Establish model evaluation, benchmarking, and observability processes
PerfectServe offers Best in KLAS clinical communication and physician scheduling solutions and is a Leader in the Gartner Magic Quadrant for Clinical Communication and Collaboration. They have seen an 88% growth rate over the past three years.
Architect, implement, and maintain production-grade, low-latency ML services.
Collaborate with data scientists, product managers, and engineers.
Design and support experimentation frameworks to test hypotheses and measure improvements.
Smart Working connects skilled professionals with global teams and products for full-time, long-term roles. They are one of the highest-rated workplaces on Glassdoor and value integrity, excellence, and ambition for their employees' personal and professional growth.
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people.
Design and build production-grade AI systems, including RAG pipelines, multi-step agents, and LLM-powered features.
Build comprehensive evaluation and observability frameworks to measure model accuracy, grounding, and quality drift.
Create production-quality Python services to wrap AI logic into secure microservices.
League, founded in 2014, is the leading healthcare consumer experience (CX) platform powered by AI, reaching over 63 million people globally. Payers, providers, and consumer health partners use League’s platform to deliver high-engagement healthcare solutions and improve health outcomes.
Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems.
Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops.
Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost.
Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets. They leverage AI and machine learning technologies to provide top international investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions. They are now a team of more than 300 highly passionate and curious individuals from all over the world.
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.
Develop, evaluate, and deploy predictive and generative models for real production use cases.
Build and maintain LLM-powered features and services.
Deploy and operate machine learning and GenAI models in production.
RealPage provides software and data analytics to the real estate industry. They aim to revolutionize the way rental housing is managed and monetized, offering solutions that streamline operations and improve resident experiences.