Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
Reddit is a community of communities built on shared interests and trust, and is home to open conversations on the internet. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Develop and maintain backend services using Python, focusing on AI-driven applications.
Design and implement APIs for seamless integration with AI models and services.
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans. They are rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.
Design, train, and deploy machine learning models that enhance ButterflyMX products and user experiences.
Build and maintain full stack applications and services that integrate ML capabilities into production systems.
Develop and optimize data pipelines for model training, evaluation, and inference.
ButterflyMX empowers people to open and manage doors & gates from a smartphone. They are installed in multifamily, commercial, gated communities, and student-housing properties worldwide. Fantastic people are the key to our success.
Build and productionize reusable MLOps components supporting scalable and reliable ML workflows.
Establish strong ML lifecycle practices including experiment tracking, evaluation, and reproducibility.
Enable robust and monitored ML systems aligned with healthcare-grade reliability and compliance requirements.
Neko Health aims to shift healthcare from treating illness to preventing it, using advanced, non‑invasive technology and clinical expertise to deliver early, actionable health insights. The company has nearly 100 full-time engineers and supports a flexible workplace that prioritizes work-life balance.
Design and implement production-scale AI agent systems and orchestration frameworks.
Deploy and optimize LLMs/SLMs in production with fine-tuning techniques.
Build data pipelines for training data curation, synthetic generation, and PII masking.
FourKites is the leader in AI-driven supply chain transformation for global enterprises and a pioneer of advanced real-time visibility. They turn supply chain data into automated action helping 1,600+ global brands prevent disruptions. They provide competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe.
Define and lead the technical vision for Cresta’s next-generation Agentic AI systems.
Architect scalable, production-grade LLM systems that integrate reasoning, retrieval, planning, tool use, and real-time decision-making into cohesive, intelligent workflows.
Own evaluation strategy for complex, non-deterministic AI systems, including offline benchmarking, online experimentation, LLM-as-a-judge methodologies, and systematic failure analysis.
Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Their platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster.
Architect the system and mentor the team, spend significant time hands-on in the codebase.
Drive our strategy for SFT and RLHF/DPO; oversee the sourcing, labeling, and cleaning of diverse datasets.
Design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment.
EverAI is building the future of AI companionship, creating entirely new categories. They have 40 million users and are aiming for 100M and then 500M, consisting of an enthusiastic, passionate and hardworking team of 75 people.
Work directly with CV researchers to understand their goals, review their code, and engineer it for reliability and performance at scale.
Profile and optimize performance-sensitive code across both training and real-time inference.
Identify patterns across research efforts and propose standardized, composable abstractions.
GameChanger believes in the life changing impact youth sports have on and off the field. By building the first and best place to experience the youth sports moments important to their community, they are helping families elevate the next generation through youth sports. They are a remote first, dynamic tech company based in New York City, and they are solving some of the biggest challenges in youth sports today.
Co-create evaluation frameworks, proctoring solutions, and critical security mechanisms.
Evaluate and implement state-of-the-art AI/ML techniques.
Design, build, and deploy scalable AI services and pipelines.
The company develops and scales a global Certification-as-a-Service platform that automates the entire lifecycle of professional exams. The solution enables companies and organizations to quickly and inexpensively create and administer official online exams/certifications.
Profile large-scale training workloads and identify communication and computation bottlenecks.
Custom kernel development to improve training performance.
Enhance and maintain our training and inference codebases.
Poolside aims to be the company that builds a world where AI powers economically valuable work and scientific progress. Their team is a multidisciplinary blend of research, engineering, and business experts distributed across Europe and North America, fostering a culture of collaboration and hard work.