Design, build, and operate LLM-powered systems used in production.
Build scalable agentic AI automation solutions, selecting appropriate patterns based on business requirements.
Make system-level tradeoffs across model choice, latency, cost, accuracy, and operational complexity.
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Build decisioning and optimisation models for Canva’s payments platform.
Define the ML strategy and operating model for payments optimisation.
Work with engineering, data, fraud, and product teams to improve revenue outcomes.
Canva is redefining how the world experiences design. They have campuses in Sydney and Melbourne plus co-working spaces in other cities, and offer flexible work arrangements to empower their team.
Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges.
Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices.
Build high-performance data pipelines (ETL/ELT) for both training and real-time inference, ensuring our systems are scalable and reliable.
EDITED is the world’s leading AI-driven retail intelligence platform. They empower the world’s most successful brands and retailers with real-time decision making power. Their environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow.
Design and implement knowledge distillation pipelines.
Distill large foundation models into smaller, faster, and cheaper models for inference.
Run and analyze large-scale training experiments to evaluate quality, latency, and cost tradeoffs.
They are a small, senior team with a strong research and engineering culture, offering high ownership and direct impact on product and roadmap. The company values being remote-friendly and an async-first environment.
Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. They help their customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs.
Architect and implement robust application integrations using Python, JavaScript, or similar languages.
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction.
Atlassian aims to unleash the potential of every team through its software products designed for all types of work. They value the unique contributions of all Atlassians and do not discriminate based on various factors, ensuring an inclusive culture.
Implement the latest research advances in Neural Rendering and generative models.
Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations.
Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training.
Torc Robotics is dedicated to transforming travel, freight, and business through autonomous vehicle technology. As a part of the Daimler family, Torc focuses on developing software for automated trucks and fostering a collaborative, energetic, and team-focused culture.
Build end-to-end training pipelines: data → training → eval → inference
Design new model architectures or adapt open-source frontier models
Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)
A1 is a self-funded AI group operating in full stealth, building a new global consumer AI application focused on an important but underexplored use case. They are assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Design, train, and refine large-scale 3D generative models from covering pre-training, post-training, and emerging paradigms in diffusion.
Bridge the gap between cutting-edge research and product, deploy models in real products used by millions of creators, using human feedback and creative evaluation.
Create novel model architectures to make 3D generation faster, higher-quality, and more controllable.
Meshy believes 3D creation should be boundless and accessible. They built a full pipeline for 3D content ranging from text / image to 3D, texturing, texture editing, animation rigging, etc. They are the market leader in 3D generative AI with a vibrant community.
Prototype new training frameworks and production-ize solutions at scale.
Design, optimize and test model integration infrastructure.
Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, LLM's and audio recognition. Clarifai was founded in 2013 and has employees remotely based throughout the United States, Canada, Argentina, India and Estonia.