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.
Own end-to-end ML system execution including data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
Architect scalable inference systems, balance latency, cost, and reliability, and deploy production-grade ML solutions.
Gina's Tech Jobs is a recruiting and staffing company that helps firms hire technical talent. They are a small agency focused on IT roles, fostering a high-trust, collaborative environment.
Design and implement advanced knowledge distillation pipelines, including teacher-student approaches and multi-teacher architectures.
Run large-scale machine learning experiments to optimize model quality, latency, efficiency, and cost trade-offs.
Collaborate with research teams to transform emerging distillation techniques into reliable production-ready implementations.
Our partner is an innovative company focused on advancing the efficiency and scalability of next-generation machine learning systems. They offer a remote-friendly work environment with an async-first culture and a small, senior team combining research expertise and engineering excellence.
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.
Design and develop production-grade LLM applications using Python and FastAPI.
Build and optimize retrieval-augmented generation pipelines with LangChain or similar frameworks.
Implement prompt engineering strategies and evaluate AI systems for accuracy and performance.
Our partner is an innovative engineering team building advanced AI solutions that transform how businesses interact with complex operational data. They offer a fully remote work environment with opportunities to work on cutting-edge technology and collaborate with global teams.
Design and scale production ML systems for LLM-based applications.
Build training and evaluation pipelines for continuous model improvement.
Fine-tune foundation models using modern adaptation techniques such as LoRA, QLoRA, SFT and DPO.
A1 is a new AI venture building the next generation of AI-native productivity applications, starting with an email agent that uses autonomous AI. Backed by an initial $100M investment, the company is a small, high-talent founding engineering team focused on solving challenging AI infrastructure problems.
Build and iterate on consumer-facing AI features powered by large language models (LLMs) and generative AI systems
Collaborate with engineers across the AI stack including prompt engineering and agentic workflow optimization
Run structured experiments and monitor production AI systems to optimize latency, cost, and scalability
Quora is a global knowledge sharing platform with over 300M monthly unique visitors, connecting people to share insights and learn. Poe provides a platform for users to chat and build with AI language models. They are a remote-first company with a culture rooted in transparency and experimentation.
Design, develop, and deploy ML models, including large language models, for various NLP tasks.
Collaborate with cross-functional teams to gather requirements, define architectures, and iterate on model development.
Stay up-to-date with latest research and contribute to best practices for responsible ML development.
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, it is one of the internet's largest sources of information, fostering a culture of authenticity and community.
Design, build, and maintain production-grade AI systems and APIs that power our products.
Integrate and fine-tune models (LLMs, embeddings, or other ML architectures) for customer-facing and internal use cases.
Own the full lifecycle of AI features — from research and prototyping to productionization, deployment, and monitoring.
Tiny Health is advancing lifelong health through precision microbiome science, founded in 2020 by microbiome scientists and physicians. They are a small, remote-first startup with a high-performing team focused on experimentation and transparency.
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.
Lead technical execution of complex AI initiatives, designing and delivering ML and LLM systems for patient and provider-facing products.
Own problems end-to-end: scope with clinicians, build datasets, iterate on modeling, and ship to production with monitoring and guardrails.
Develop robust evaluation frameworks including offline benchmarks, human-in-the-loop review, and online experiments to ensure model safety and accuracy.
Curai harnesses artificial intelligence and clinical expertise to make healthcare more affordable and accessible for everyone. They are a small, senior team committed to rigorous research, clinical integrity, and improving health outcomes.
Design, develop, and deploy production-ready generative AI and machine learning applications.
Collaborate with cross-functional teams to integrate AI capabilities into business systems.
Apply prompt engineering, retrieval-augmented generation, and evaluation strategies to optimize AI performance.
The company is a technology firm specializing in AI transformation initiatives. It fosters a collaborative culture centered on learning, innovation, and professional development.
Evaluate LLM architecture logic for technical accuracy and audit ML code and notebooks for efficiency.
Refine RLHF frameworks to align models with human intent and analyze model reasoning in complex chain-of-thought prompts.
Benchmark performance by conducting comparative testing between model outputs based on technical metrics.
Prolific connects researchers with a global pool of participants for collecting high-quality human data to train AI models. With over 35,000 users, they focus on ethical data gathering to advance AI capabilities.
Design and maintain LLM-powered backend services using Python and FastAPI.
Implement retrieval-augmented generation (RAG) for structured and unstructured fleet data.
Optimize retrieval accuracy, latency, and hallucination rates through automated evaluation pipelines.
Datakrew revolutionizes EV fleet intelligence with IoT and AI solutions. They aim to serve one million EVs within 5 years and cultivate a mission-driven culture.
Lead the design, development, and deployment of enterprise-scale AI and data solutions using AWS and Snowflake.
Architect and implement large language models and agentic AI workflows for business automation and decision support.
Collaborate with cross-functional teams to ensure solutions meet regulatory, security, and compliance requirements in financial services.
U.S. Financial Technology operates the largest and most advanced mortgage securitization platform globally, supporting the Uniform Mortgage-Backed Security of Fannie Mae and Freddie Mac. The company supports 70% of the mortgage-backed securities market and offers a full lifecycle of services with a focus on cloud-based technology and innovation.
Optimize RAG pipelines to pull real-time clinical context for safe, accurate AI recommendations in autism therapy.
Design evaluation frameworks and monitor AI production outputs for quality, drift, and failure modes.
Partner with clinical teams to bridge AI capabilities with clinical expertise, ensuring models are deeply rooted in real-world care.
AnswersNow is trailblazing the future of autism therapy with a virtual ABA therapy platform designed by clinicians to recreate in-person therapy. The team operates fully remote and is focused on reshaping autism therapy for families nationwide.
Define and execute the research strategy for core AI intelligence, including reasoning, planning, memory, and context representation.
Lead technical decisions on model architecture, balancing proprietary solutions with state-of-the-art models.
Establish and oversee AI alignment, safety, and guardrail strategies to ensure responsible system behavior.
This company develops an advanced AI platform to automate complex digital workflows. They are a small, highly experienced team with a fast-moving culture focused on cutting-edge machine learning.
Design, develop, and deploy production-ready AI solutions using LLMs and RAG pipelines.
Own the end-to-end lifecycle of AI features from problem definition to monitoring and improvement.
Collaborate closely with software engineers and business stakeholders to embed AI into customer-facing products.
The company is a modern SaaS provider that builds cutting-edge AI solutions. It has a collaborative, diverse, and inclusive international culture with a focus on innovation and continuous learning.
Own and improve the machine learning models and systems powering the Home feed and Shortcuts experience.
Design and build personalized recommendations serving millions of Spotify listeners globally.
Train, fine-tune, and optimize large language models using techniques like SFT and distillation.
Spotify is a leading audio streaming platform that delivers personalized music and podcast experiences to millions of listeners globally. The Personalization team is a large, collaborative group behind iconic features like Discover Weekly, with a culture of innovation and user-centricity.