Assist engineering teams in identifying and solving challenges related to AI development, focusing on improving efficiency and usability.
Support the development and optimization of AI infrastructure, including pipelines for model training and evaluation.
Contribute to the development and improvement of centralized AI services, such as document parsing, search tools, and integration of large language models (LLMs).
Sprinto is an AI-native GRC platform that helps organisations manage risks, audits, vendor oversight, and continuous monitoring from a single connected platform. With a team of 350+ employees serving 3,000+ customers across 75+ countries, it is backed by top-tier investors such as Accel, Elevation, and Blume Ventures.
Build and maintain scalable machine learning solutions in production.
Train and validate deep learning and statistical models for real-world applications.
Partner with product managers and engineers to define requirements and drive ML roadmap.
Twilio is a cloud communications platform that empowers businesses to build personalized customer experiences through APIs. With thousands of employees worldwide, the company champions a remote-first culture focused on inclusion and innovation.
Design, build, and ship ML models that power content generation and quality eval scoring for Canva's generated element and template library.
Own the full ML lifecycle — from data pipelines and training through to deployment, monitoring, and iteration.
Partner with Content Engine, CORE AI Research, AI Media, and Discovery teams to align ML work with the broader content strategy.
Canva is redefining how the world experiences design with its intuitive design platform. We serve hundreds of millions of users globally and foster a culture of flexibility, inclusion, and innovation.
Collaborate on innovative data solutions with a team of consultants, data scientists, and engineers.
Manage end-to-end project value chain including data collection, analysis, ML models, and production.
Communicate technical concepts to business stakeholders and prioritize tasks with deadlines.
Artefact LatAm is a data consulting firm that helps clients transform their data strategy using advanced analytics and AI. They focus on building a diverse and inclusive culture where all voices are heard and valued.
Own and extend the offline eval suite across AI products, including datasets, judges, and metrics.
Build and maintain online quality dashboards tracking resolution rate, CSAT, LLM-as-judge signals, and more.
Close the production feedback loop by mining failure patterns and translating data into product decisions.
Finom is a European tech startup headquartered in Amsterdam, developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing. With over $346 million in total funding and a team of hundreds, they foster a start-up culture focused on innovation, swift implementation, and user impact.
Design and implement entity resolution and ontology population within established graph schemas.
Build pipelines that extract structured knowledge from unstructured conversational and document data.
Implement graph traversal logic and feature queries that feed downstream scoring signals.
Outreach is the only complete agentic AI platform for revenue teams, founded in 2014. It powers hundreds of use cases across revenue motions for world leading enterprises like Databricks, SAP, Siemens, and Verizon.
Own the evaluation framework and quality strategy for advanced AI and vision systems, defining pass/fail metrics and data validation loops.
Lead artifact auditing, failure taxonomy development, and release-quality reporting to translate model behavior into product decisions.
Partner with model, simulation, and platform owners to drive quality improvements and production-readiness decisions.
HERE Technologies is a location data and technology platform company that empowers customers to improve outcomes from city infrastructure to driver safety. With a global team and a focus on innovation and inclusion, they foster a collaborative culture dedicated to positive change.
Lead the company-wide AI strategy, governance, and adoption to drive measurable business impact.
Oversee analytics, machine learning, and AI teams while managing the data platform for scalability and quality.
Partner with product, finance, marketing, and operations to translate data into actionable insights and predictive features.
PadSplit is a mission-driven company tackling the affordable housing crisis by offering shared housing solutions. They are a growing organization with a culture focused on impact, innovation, and responsible AI adoption.
Develop graph-based analytics solutions for fraud detection and investigative analysis using Neo4j and machine learning.
Apply network analysis, centrality, community detection, and anomaly detection to identify hidden relationships across large datasets.
Collaborate with investigators and stakeholders to build visualizations and deploy operational graph analytics models.
Ardent supports the federal government’s most critical national security and defense priorities. It offers competitive pay, comprehensive health coverage, flexible PTO, and a culture that values hard work and adaptability.
Design robust feature representations from implicit behavioral data to capture true user intent.
Architect sequential models that adapt to shifting user preferences for personalized recommendations.
Integrate ML scores with operations-research engines to balance personalization with business constraints.
Hungryroot uses AI to build a consumer-centric food and wellness company, acting as a personal assistant for healthy living. They are a distributed team of top talent across 28+ U.S. states with a remote-first culture emphasizing collaboration and flexibility.