Manage, mentor, hire and grow 8+ ML Engineers and Data Engineers across three distinct teams
Be a strong technical partner for engineers to guide ML system architecture, model deployment, and data platform design & execution
Ensure ML solutions are production-grade, scalable, observable, cost effective and maintainable
Apella is applying computer vision and machine learning to improve the standard of care in surgery. They build applications to enable surgeons, nurses, and hospital administrators to deliver the highest quality care; they are committed to equal employment opportunity.
Improve our existing machine learning ranking models using your core coding skills and ML knowledge
Identify new opportunities to apply machine learning to different parts of the Quora product
Work with other machine learning engineers to implement algorithms and systems efficiently
Quora's mission is to grow the world's collective intelligence with platforms like Quora and Poe. It is a remote-first company with passionate, collaborative, and high-performing global teams, rooted in transparency, idea-sharing, and experimentation.
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.
Be the founding expert driving the next era of our machine learning and personalization efforts.
Build and launch high-leverage personalization features from the ground up.
Be the technical pioneer and strategic leader for ML at Babylist.
Babylist is the leading registry, e-commerce, and content platform for growing families. With over $1 billion in annual GMV, and more than $500 million in 2024 revenue, Babylist is reshaping the $320 billion baby product industry.
Extract insights from data and deliver a ML project from beginning to end.
Develop machine learning algorithms with huge data sets to solve challenging business questions.
Discover new data sources and create new input features for ML models.
Experian is a global company providing data services. They help organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they are dedicated to innovation and prioritize inclusive culture, employee well-being, and career development.
Deliver a project that helps generalize model configuration and enables no-code model deploys.
Own the design and implementation of significant scalability improvements and additions to the ML platform.
Power replenishment decisions on more than 15% of all produce sold in the United States.
Afresh is on a mission to eliminate food waste and increase access to fresh, nutritious food with the first fresh technology platform built to solve the biggest challenges in the fresh supply chain. They are partnered with some of the largest grocers in the US and have raised over $148 million in funding from investors.
Develop machine learning algorithms with huge data sets.
Improve performances of existing algorithms.
Discover new data sources and create new input features for ML models.
Experian is a global data services company that helps organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they specialize in data gathering, analysis, and fraud prevention.
Own the end-to-end lifecycle of ML model deployment—from training artifacts to production inference services.
Design, build, and maintain scalable inference pipelines using modern orchestration frameworks (e.g., Kubeflow, Airflow, Ray, MLflow).
Implement and optimize model serving infrastructure for latency, throughput, and cost efficiency across GPU and CPU clusters.
MARA is building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds. They are redefining the future of sovereign, energy-aware AI infrastructure.
Understand complex business challenges and translate them into data science problems.
Design and implement machine learning models, statistical tests, and optimization strategies.
Deliver Proof-of-Concepts and production-ready models within Agile and cross-functional teams.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Architect, design, and oversee delivery of end-to-end AI/ML solutions.
Lead cross-functional teams to implement robust ML platforms, pipelines, and applications.
Communicate the business value and ROI of AI/ML solutions to stakeholders.
Jobgether is using an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads.
Implement automation and operationalize ML models workflows that streamline operational processes, reduce manual work, and improve system efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides a client experience platform for appointment-based, self-care businesses, empowering customers to give their clients magical moments. They value diverse backgrounds, equal opportunity, and an inclusive culture, with a team that values curiosity and experimentation.
Lead the creation and optimization of advanced machine learning algorithms to enhance advertising effectiveness and ROI.
Own the end-to-end development of production-grade ML models and collaborate with Machine Learning Engineers.
Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data.
StackAdapt empowers marketers to reach, engage, and convert audiences. They are a remote-first company with a diverse and inclusive team of collaborative, hardworking individuals.
Lead the development and application of machine learning and LLM-powered models across various functions.
Translate business problems into clear modeling objectives and experimentation plans.
Manage and mentor applied ML practitioners, setting high standards for modeling rigor.
Gametime helps people connect through shared experiences by making it easy to discover and access live events. They operate platforms across the US and Canada, reimagining the event ticket industry to move at the speed of life.
Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, quality, and optimisation.
Work directly alongside product teams as a trusted partner, helping them navigate technical challenges and arrive at effective solutions.
Develop blueprints, patterns, and paved roads that allow other teams to follow proven approaches and accelerate their own implementations.
Canva is a design platform that enables users to create professional designs. They have a flagship campus in Sydney, a second campus in Melbourne, and co-working spaces in other locations, with a flexible work environment.
Define and own demand forecasting to meet expert contributor growth targets.
Develop scalable sourcing strategies to support growth across global markets.
Partner with Analytics to develop robust models and queries for supply prediction.
Snorkel AI helps enterprises transform expert knowledge into specialized AI at scale. They work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before.
Lead, mentor, and grow a team of Machine Learning engineers and scientists
Drive execution of ML initiatives across Document Generation, Voice Agents, and Knowledge Base systems
Partner closely with Product and Engineering to define scope, priorities, and delivery plans
EvenUp aims to close the justice gap using technology and AI, empowering personal injury lawyers and victims. They are a fast-growing vertical SaaS company backed by top VCs, seeking talented, driven, and collaborative individuals.
Development and deployment of LLM-powered features, including summarization tools.
Build backend services in Python that integrate ML/LLM models with Fullscript’s platform.
Collaborate with medical and product teams to deliver AI features for practitioners and patients.
Fullscript is a health technology company committed to helping people get better by connecting practitioners to products and patients to care plans. They empower over 125,000 practitioners and 10 million patients through their comprehensive platform.
Improve our existing machine learning systems using your core coding skills and ML knowledge
Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems
Apply state-of-the-art machine learning algorithms at scale and serving for next-generation targeting and bidding products that directly impact the company’s top line metrics
Quora's mission is to grow the world's collective intelligence with 300M monthly unique visitors on their knowledge sharing platform and millions of users on Poe, where they can chat, explore and build with a wide variety of AI language models (bots). They have passionate, collaborative, and high-performing global teams and a culture rooted in transparency, idea-sharing, and experimentation.