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.
Design and maintain the MLOps platform for experiment tracking, model registry, and CI/CD practices.\n- Productionize ML models into scalable, low-latency serving infrastructure with monitoring and rollback.\n- Automate retraining, evaluation, and deployment pipelines to reduce manual intervention.
Yuno builds payment infrastructure that connects companies to over 300 payment methods worldwide via a single API, using AI for intelligent routing and fraud prevention. It is a growing company with a global reach, founded by veterans from payments and technology, and emphasizes innovation and remote collaboration.
Own a major subsystem of a novel exploitability engine end-to-end, including design, delivery, and quality.
Drive design and code reviews, raise the engineering bar, and mentor engineers through influence.
Partner with product, security R&D, and SecOps to turn customer problems into subsystem design.
ServiceNow provides an AI platform that automates workflows to free people from busywork, serving as the AI control tower for business reinvention. It serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent are unstoppable.
Help deliver near-term Fleet Intelligence initiatives including tire intelligence, utilization intelligence, and ROI measurement.
Translate product questions into clear hypotheses and develop practical machine learning models.
Partner with Product and Design to make model outputs understandable and actionable within customer workflows.
Fleetio provides a modern software platform for organizations worldwide to manage their fleet operations. The company has thousands of customers, raised $450M in Series D funding, and fosters a remote-friendly culture focused on innovation and diversity.
Develop and improve core AI methods and systems for reliable AI agents across the full lifecycle.
Create novel approaches for simulation, evaluation, and optimization of agent behavior in production.
Turn research ideas into working prototypes and production-facing capabilities.
This is an early-stage AI infrastructure company focused on making AI agents reliable in production. The company values innovation and practical deployment, with a small team driving frontier AI research and product development.
Identify opportunities where Data Science can create measurable business impact and design, build, and deploy Machine Learning solutions.
Develop forecasting and optimization solutions to support complex business and operational decisions.
Apply experimentation and causal inference techniques, and explore Generative AI where applicable.
Coderio designs and delivers scalable digital solutions for global companies. They are a remote-first company with a collaborative international team focused on technical excellence and career growth.
Designing and building scalable data pipelines that power AI models, machine learning workflows, and intelligent product capabilities.
Owning the reliability, performance, and operational excellence of production data platforms.
Developing ETL/ELT solutions using Python, SQL, AWS, and modern cloud-based data technologies.
Ideagen provides software solutions that improve safety and quality across aviation, food, and healthcare industries. With offices globally, the company values work-life balance and fosters a culture of innovation, leveraging AI to work smarter.
Lead the Independent Agency Data Science team, overseeing Quote Efficiency models and emerging opportunities to enhance agent and customer experience.
Collaborate with cross-functional teams to design and deploy AI/ML solutions that improve sales and operational efficiency.
Manage and develop a team of 7-10 data scientists, setting goals and promoting growth and diverse perspectives.
Liberty Mutual is a global insurer providing property and casualty insurance. It employs tens of thousands globally and fosters an inclusive, supportive culture focused on employee well-being and professional development.
Analyze large-scale network telemetry to identify malicious behavior and anomalies.
Design and refine ML models for threat detection, including evaluation on imbalanced data.
Provide technical leadership and collaborate with engineers to ship production-ready models.
ExtraHop protects enterprises with Network Detection and Response, revealing cyber threats and network issues. A leader recognized by major analysts, it fosters a values-driven culture of integrity, innovation, and teamwork.
Develop pipelines and ETL tasks with product managers, data analysts, and machine learning engineers to extract insights.
Translate product requirements into actionable project plans that you and your peers execute.
Establish data architecture processes that are scheduled, automated, replicated, and serve as standards for other teams.
Doximity is the leading clinical AI company with the largest network of U.S. clinicians, trusted by over 85% of physicians and 300+ health systems. The company values curiosity, ownership, inclusion, and meaningful impact, with a distributed team culture and over 500 private GitHub repositories.