Build the component layer around our layout synthesis engine, including API contracts, services, and evaluation gates.
Turn model retraining into a one-command job with built-in benchmarks and readable results for the whole team.
Own latency and cost budgets for learned capabilities and partner with infrastructure engineers on MLOps and deployment.
Higharc is a VC-backed startup that is changing how new homes are designed and built using spatial AI and generative floor plan technology. The company is fully remote, has raised over $175M, and values flexibility, collaboration, and asynchronous deep work.
Design, develop, and deploy advanced machine learning and statistical models that optimize the global supply chain, including demand forecasting and supplier risk modeling.
Own the full ML stack from modeling and MLOps to deployment and monitoring, building production systems that drive real business decisions.
Partner cross-functionally with teams in Planning, Procurement, Fulfillment, Finance, Sales, Engineering, and executive leadership to align on data requirements and drive adoption.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights and improved efficiency. As a recently public company, Samsara fosters a culture of ownership and long-term impact, with a flexible remote model and comprehensive benefits for its diverse team.
Conduct independent research in Generative AI, LLMs, NLP, and multimodal AI to design experiments and evaluate models.
Develop and implement LLM evaluation frameworks, analyze model performance, and identify data gaps for improvement.
Apply strong statistical and data science skills to clean, analyze, and interpret complex datasets for AI/ML research.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, the company is committed to delivering the highest quality data and outstanding outcomes for its customers.
Drive development and implementation of advanced machine-learning algorithms for business-critical applications.
Build scalable forecasting models, including deep-learning-based approaches, to predict company top-line metrics.
Lead the end-to-end ML lifecycle from problem definition through deployment and iteration.
Atlassian builds software products that help teams all over the planet collaborate and work together. With a distributed-first culture, Atlassians have flexibility in where they work, and the company is motivated by unleashing the potential of every team.
Serve as the technical bridge between Tenstorrent and customers across Southeast Asia, guiding evaluations and deployments of AI platforms.
Troubleshoot hardware and software issues, and translate complex AI/ML concepts for both technical and non-technical audiences.
Build trust with customers and internal teams through proactive problem solving and regional travel.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. They value collaboration, curiosity, and a commitment to solving hard problems.
Build reinforcement learning and agent environments for real customer and Frontier lab use cases, including task specifications, scoring, and evaluation.
Develop benchmarks and evaluation harnesses to measure model and data quality across accuracy, robustness, safety, latency, and cost.
Run fine-tuning, adapter, and other model experiments to evaluate how data and methods influence model behavior, and deploy local or self-hosted models for evaluation and inference.
Appen has been a leader in AI training data for over 30 years, specializing in human-generated data to train, fine-tune, and evaluate models across generative AI, LLMs, computer vision, and speech recognition. They support model development through an AI-assisted data annotation platform and a global crowd of over 1 million contributors in more than 200 countries, fostering a culture of innovation, collaboration, and humility over ego.
Develop and deploy cutting-edge AI/ML solutions to enhance the platform and improve student learning experiences.
Design, develop, and optimize LLM-powered agentic systems and APIs for real product use cases.
Collaborate with senior engineers and contribute to evaluation frameworks and MLOps pipelines.
Interview Kickstart specializes in interview preparation and career transitions into high-demand tech fields like AI, ML, and Data Science. Over 17,000 tech professionals have been guided by current and former hiring managers to land coveted positions at companies like Google and Amazon.
Lead the development and optimization of machine learning models to detect and prevent AI security risks like prompt injection and jailbreaks.
Build reproducible training and evaluation pipelines on Reddit's ML platform, partnering with platform engineers to improve performance and reliability.
Set the technical vision and multi-quarter modeling roadmap, mentoring engineers and establishing best practices for responsible ML development.
Reddit is a community of communities, built on shared interests and authentic conversations, with 100,000+ active communities and 130 million daily active visitors. It is one of the internet's largest sources of information, fostering a culture of openness and trust.
Lead data science work on grant-funded projects focused on teaching, coaching, and AI in education.
Apply statistical, machine learning, NLP, and generative AI methods to develop automated measures and workflows.
Collaborate with researchers and external partners to integrate research insights into educational tools and deliverables.
Harvard University is a world-renowned institution committed to advancing education and research. The Harvard Graduate School of Education fosters a diverse, collaborative community focused on maximizing impact in the field of education.
Create realistic PowerPoint tasks based on private equity or corporate development experience.
Complete each task to establish benchmark outcomes for AI-generated work.
Develop objective evaluation criteria and provide source materials for AI assessments.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. This role is posted on behalf of a partner company, and the hiring process is managed by their internal team.
Design and implement state-of-the-art ML models and training pipelines for robotics.
Develop efficient data/training strategies and evaluation frameworks for rapid experimentation.
Collaborate with engineering to optimize training infrastructure and deployment.
We're revolutionizing real-world automation by making robotic systems accessible to everyone. Our AI-powered platform brings software automation to physical spaces, and we're a small startup team working across the stack to solve customer problems.
Apply deep learning and foundation models to solve fraud detection and financial risk problems using large-scale behavioral and sequential datasets.
Take models through the complete ML lifecycle including data preparation, pretraining, deployment, and production optimization.
Collaborate with cross-functional teams and clients to translate model capabilities into actionable risk decisions.
The company is a fintech organization focused on fraud detection and financial risk using AI and deep learning. It operates with a remote-first culture and a collaborative, autonomous team.
Design and implement novel training optimization techniques for large-scale neural networks.
Investigate approaches to improve training efficiency, stability, and convergence speed.
Collaborate with infrastructure and inference engineering teams to translate research into production performance.
This partner company focuses on AI research and training optimization for large-scale models. They maintain a small, senior-level team that values deep technical thinking and thoughtful execution.
Identify and implement AI/ML opportunities across products, including generative AI and LLM applications.
Build, evaluate, deploy, and maintain machine learning models in production.
Collaborate with product managers, engineers, and experts to translate business challenges into scalable ML solutions.
The company applies machine learning and AI to real-world business and product challenges. It fosters a collaborative, remote-first environment centered on technical learning, innovation, and professional development.
Architect and implement state-of-the-art GenAI pipelines for ad creative generation, including brand asset preservation and image/video editing.
Fine-tune large vision-language models and build feedback loops using ad performance metrics (CTR, CVR) via RLHF/RLPF.
Partner with Product, Sales, Policy, and Ads ML teams to integrate creative capabilities into Ad Manager and ensure brand safety.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Collaborate with stakeholders to identify new AI opportunities and create intelligent AI applications.
Lead MVP development using a test-and-learn approach with cross-functional teams.
Experiment with generative LLMs to create and enhance generative applications using prompts and user feedback.
Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. They are passionate about serving customers and helping them use data as a competitive advantage.
Design high-performance training platform components including orchestration, observability, and performance tuning.
Deliver end-to-end ML pipelines from dataset curation to training, validation, and deployment.
Drive technical direction across ML Platform, Infrastructure, Autonomy, and Safety teams.
Stack is developing revolutionary AI and advanced autonomous systems for safer, more reliable, and efficient operations, focusing on autonomous trucking. The Stack team brings decades of experience in real-world systems and is committed to a culture of inclusion, entrepreneurship, and innovation.
Design and build scalable ML and generative AI systems for customer-facing and operational use cases.
Develop end-to-end pipelines for training, deployment, and monitoring of AI solutions in production.
Collaborate with cross-functional teams to embed AI into core healthcare systems and drive technical ownership.
Redcare Pharmacy is Europe's No.1 e-pharmacy, dedicated to digital healthcare. The company fosters a collaborative environment where every employee feels valued and inspired to contribute to the vision 'Until every human has their health'.
Train, evaluate, and iterate on ML models for customer feedback tasks with rigorous experimentation.
Build and maintain LLM-powered features including retrieval pipelines, reranking systems, and insight generation.
Contribute to evaluation frameworks, semantic search, and collaborate with engineering on model integration.
We help large brands like Uber, Amazon, and Wise put customers at the centre of everything they do using our AI-powered Customer Experience Intelligence platform. Our collaborative, growth-driven culture values trust, ownership, and humility as we build the next generation of customer feedback technology.
Design, develop, and deploy AI solutions that power business products and operations.
Collaborate with product, data science, and engineering teams to build scalable, production-ready AI systems.
Write clean, maintainable code and integrate AI/ML models into backend and frontend applications.
Zone & Co is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. They serve more than 4,500 customers worldwide and operate as a high-velocity, fully remote, global team.