Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Build, ship, and own product features end-to-end using cutting-edge AI/ML techniques.
Apply classical ML and LLM-based approaches like RAG, prompt engineering, and fine-tuning to enhance the audit and risk platform.
Collaborate with cross-functional teams in an Agile environment to deliver scalable, production-quality code.
Optro is a leading audit, risk, ESG, and InfoSec platform trusted by over 50% of the Fortune 500. The company has been named one of the 500 fastest-growing tech companies in North America for seven consecutive years, fostering a culture of innovation and collaboration.
Develop and improve NLP systems and language model-powered experiences.
Fine-tune and optimize language models for domain-specific use cases and build evaluation frameworks.
Deploy and maintain production-grade ML systems on GPU infrastructure with a focus on scalability and safety.
BetterHelp removes barriers to therapy and makes mental health care accessible globally. Founded in 2013, it is now the world's largest online therapy service with over 30,000 licensed therapists, and it invests deeply in employee well-being and professional development.
Own end-to-end Machine Learning (ML) system execution including data pipelines, training, and deployment.
Fine-tune and adapt models using state-of-the-art methods like LoRA and DPO.
Architect scalable inference systems and collaborate closely with application engineering.
This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.
Design and build systems that improve the efficiency of ML training and inference workloads.
Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active users, Reddit is one of the internet's largest sources of information.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
Develop and fine-tune large language models for intelligent, safe, and responsive browser interactions.
Apply retrieval-augmented generation, summarization, classification, and intent modeling in real-world browser workflows.
Collaborate with product and engineering partners to design, iterate, and launch user-facing AI features aligned with Mozilla's values.
Mozilla Corporation is a non-profit-backed technology company that makes Firefox and Pocket, with a mission to reclaim an internet built for people. With over 225 million monthly users and a focus on AI, security, and open-source software, Mozillians work in a collaborative, mission-driven culture.
Design, build, and deploy AI-powered product features leveraging LLMs to enhance user workflows.
Develop and maintain evaluation frameworks, guardrails, and monitoring systems for AI reliability.
Collaborate with cross-functional teams to integrate generative AI into backend services and APIs.
This company provides a modern SaaS platform that helps organizations strengthen security, compliance, and trust. They have a remote-first environment with a strong engineering culture focused on ownership and collaboration.
Train and fine-tune language models powering AI companions and own agent harnesses, agentic loops, and chat interface algorithms.
Build and maintain the full LLM stack from model training to production deployment while tracking cutting-edge NLP research.
Collaborate with validation, content, and dataset preparation teams to design experiments and measure model quality.
Social Discovery Group is one of the world's largest groups of social discovery companies, solving loneliness and disconnection through social entertainment platforms like DateMyAge and Dating.com. The international team of 1000+ professionals works remotely worldwide and is a two-time 'Great Place to Work' winner.
Prototype and improve LLM-based features for tasks such as entity extraction, summarization, and document comparison.
Develop and evaluate prompt strategies, embedding approaches, and semantic search workflows.
Collaborate with engineers and product managers to integrate your work into the live platform.
Outmarket is building the AI-powered operating system for commercial insurance. Our team brings experience from Uber, Meta, Adobe, and IBM Watson, and we move quickly from idea to deployment.
Design and build LLM-powered AI components for internal tools and user-facing applications.
Develop systems for data retrieval, embeddings, and intelligent automation workflows.
Collaborate with cross-functional teams on AI use cases and contribute to technical vision.
Jobgether powers job matching using AI to connect candidates with opportunities. They emphasize a remote-first, collaborative culture with high autonomy and flat structure.
Design and build AI-enabled features for education products, working with stakeholders to understand real workflows.
Integrate LLM APIs and develop evaluation approaches for quality, consistency, and reliability.
Build prototypes quickly, test against real use cases, and productionize successful approaches.
We are a global EdTech company building a suite of AI-enabled products for students, teachers, and education partners to support better learning outcomes at scale. Our team fosters a culture of experimentation and disciplined engineering.
Develop and refine features for deep learning models using large-scale customer and behavioral datasets.
Implement model architecture changes informed by recent academic research from venues like NeurIPS.
Optimize model training pipelines for efficiency and scalability while collaborating with client teams.
OpenTeams builds AI that empowers, offering energy-efficient and cost-effective models with a commitment to open source. The company values freedom, teamwork, accountability, and quality, and reinvests 3% of profits into the open-source community.
Design, develop, and deploy production-grade AI-powered backend systems integrating LLMs and traditional ML models.
Integrate and optimize vector databases for RAG pipelines, and write clean, well-structured Python code.
Debug complex cross-layer issues and collaborate with product and engineering teams to deliver cohesive solutions.
We are a fast-growing product company integrating cutting-edge AI capabilities into our core offering to deliver exceptional value to customers. Our small, fast-moving team works on practical, real-world AI applications with high autonomy.
Design and develop machine learning solutions ensuring accuracy, performance, security, and scalability
Implement and maintain end-to-end AI/ML pipelines from data ingestion to deployment
Collaborate across planning, design, and code review to raise overall code quality
We shape the future of communications from remote-first environments. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide, with a strong culture of connection and inclusion.
Build and ship AI agents, APIs, and applications on Affirm's internal platform, owning the full lifecycle from architecture to production.
Turn messy business requirements from People Operations stakeholders into production systems, integrating with tools like Workday and Notion.
Design reliability infrastructure for multi-model LLM services, including structured output validation and quality controls.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The People Tech & Analytics team builds and owns the data, AI, and technology infrastructure for Affirm's People function, running like a product engineering group embedded in HR.
Build the AI Platform Foundation by leading design and ownership of core infrastructure.
Standardize the AI Developer Path by architecting high-level abstractions and APIs.
Engineer AI Trust & Safety Systems through monitoring and quality assurance layers.
Smartsheet provides a collaborative work management platform. As a publicly traded company with thousands of employees, it fosters a culture of innovation and inclusion.
Develop and integrate ML, NLP, and Generative AI models to create smart collaborative solutions.
Build and optimize agentic workflows using LangChain, LangGraph, and similar frameworks.
Collaborate with engineering and product teams to deliver AI-driven features and prototype tools.
We are a technology company building next-generation AI-powered workplace assistants. Our team values innovation, engineering excellence, and continuous learning in an open and supportive environment.
Lead the development and optimization of Large Language Models and Mixture of Experts models.
Collaborate with cross-functional teams to integrate ML models into our platform and conduct cutting-edge research in machine learning.
Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.
webAI is an end-to-end private AI platform that enables enterprises and governments to bring AI to their data, powering specialized intelligence trained on their own knowledge. The company is a dynamic, fast-growing team fostering an exciting and growth-oriented work culture, committed to truth, ownership, tenacity, and humility.
Champion the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.
Work cross-functionally with product, design, and engineering teams to design and build efficient AI solutions for customer support.
Learn and share the latest AI/ML technologies with the team to drive innovation.
Airbnb connects travelers with unique stays and experiences hosted by locals worldwide. With over 5 million hosts and 2 billion guest arrivals, the company fosters authentic community connections and values inclusion and belonging.