Fine-tune open-weight LLMs using SFT, LoRA/QLoRA, and post-training methods such as DPO and GRPO to shape model behavior for 50M+ users.
Diagnose model failures and turn them into experiments, building training data and evals that directly influence production models.
Ship to production, speed up the training loop, and collaborate with Product, Web, and DevOps teams.
EverAI is building the world's largest AI companionship platform, redefining relationships for millions. With ~100 people, it's a fully remote, hardworking team with an ownership-driven culture and a track record of scaling products from 0 to IPO.
Design, deploy, and optimize large-scale ML systems for retrieval, ranking, and LLM-powered features.
Lead ML projects from concept to production, improving answer relevance and user experience.
Collaborate with Product, Data Science, and Engineering teams to shape technical direction.
The hiring partner is a technology company focused on building advanced AI systems that help users discover relevant answers from large collections of online conversations. It values innovation, collaboration, and responsible AI development, offering a remote work environment within the United States.
Own the AI that assesses patients for US mental healthcare, from conversation to treatment recommendation.
Build evaluation harnesses and simulated patient conversations to test every configuration before deployment.
Raise the engineering bar through architecture, code review, and mentorship while ensuring regulatory compliance.
Limbic develops AI mental health chatbots for patient assessment and therapy, with clinical validation and FDA/NHS adoption. The company has supported over 820,000 patients and emphasizes safety, science, and an inclusive culture.
Develop, fine-tune, deploy, and monitor pretrained language models for healthcare applications
Work with messy unstructured EHR data, including clinical text and imaging, to generate real-world insights
Collaborate cross-functionally to translate clinical questions into data analytics requirements
Verana Health is a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network in ophthalmology, neurology, urology, and oncology. Backed by Johnson & Johnson Innovation and GV, the company recently raised $150 million in Series E and maintains a diverse, remote-friendly culture with offices in San Francisco, New York City, and Knoxville.
Build the component layer around our layout synthesis engine, including API contracts, services, and evaluation gates.
Turn model retraining into a one-command job with built-in benchmarks and readable results for the whole team.
Own latency and cost budgets for learned capabilities and partner with infrastructure engineers on MLOps and deployment.
Higharc is a VC-backed startup that is changing how new homes are designed and built using spatial AI and generative floor plan technology. The company is fully remote, has raised over $175M, and values flexibility, collaboration, and asynchronous deep work.
Develop machine learning and LLM capabilities for query intelligence and search relevance.
Build agentic search planners and improve model behavior through prompt development and fine-tuning.
Own projects from problem definition to production deployment and collaborate with cross-functional teams.
Atlassian builds software products that help teams collaborate and manage work. The company fosters a flexible and inclusive culture, with employees able to choose where they work and a focus on innovation.
Build a pipeline for parsing clinical documents and validating executable modules.
Design and refine a target syntax for representing guideline logic.
Run experiments across open and closed models, fine-tuning approaches, and constrained decoding.
They build a compiler that turns clinical guidelines into structured, executable decision logic for healthcare. The team is research-focused with production engineering stakes, working closely with clinicians and technical leadership.
Lead exploration and application of Large Language Models and Generative AI into core product lines.
Translate the latest research into high-performing systems that enhance customer experiences.
Collaborate with cross-functional teams to set strategy and deploy ML solutions with real business impact.
Replicant is the industry leader in voice AI for customer service, providing automated phone bots for enterprises like AAA and Fanatics. Founded in 2017, the company is backed by top-tier Silicon Valley investors, has offices in the SF Bay Area, Toronto, and New York, and maintains a distributed team across the US and Canada.
Build pipelines that parse clinical standards and transform them into executable modules using document and layout models.
Evaluate open and closed models, fine-tuning approaches, and constrained decoding strategies.
Develop datasets, benchmarks, metrics, and adversarial cases to assess clinical fidelity and correctness.
They build a clinical AI compiler that turns healthcare standards into validated, executable decision logic. The team is research-focused, collaborative, and works closely with clinicians to make recommendations traceable and reliable.
Build, train, and evaluate machine learning models end to end, from data and experiment design through training and reporting.
Design reinforcement learning environments, reward functions, and verifiers, and fine-tune language models using methods like PPO, DPO, and GRPO.
Collaborate with domain experts, analyze datasets, and present findings clearly to both technical and non-technical audiences.
EnableComp provides specialty revenue cycle management solutions for healthcare organizations using its unified E360 RCM platform. It is a multi-year Top Workplaces recipient and has been named to the Inc. 5000 list of fastest-growing private companies for eleven years.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.
Design, build, and deploy LLM-powered agents that detect spam, harassment, and policy-violating content on Quora.
Develop agentic workflows to automate content moderation and user safety tasks at scale.
Evaluate model performance, investigate failures, and refine AI systems for accuracy and efficiency.
Quora is a global knowledge-sharing platform that connects people with expert answers. This role sits on a small, collaborative engineering team with a remote-first culture and a focus on AI safety and content quality.
Lead the AI/ML organization behind the immigration case management platform, including document understanding and extraction.
Manage and grow a team of ML engineers, setting technical direction on build-vs-buy for AI/ML capabilities.
Be accountable for cost, quality, and throughput of every model in production, with recognized depth in the field.
Envoy Global innovates in global immigration, combining a tech platform with holistic service to streamline immigration for employers and individuals. The company is scaling its AI/ML organization and seeks a Director to lead document understanding and automation.
Build and operate real search infrastructure for ranking and multi-modal search across Nivoda's marketplace.
Own the full lifecycle of ranking and recommendation models, from features and training through deployment and monitoring.
Build context-aware and conversational search using LLMs, embedding-based retrieval, and image embeddings.
Nivoda is the operating system for the global jewellery industry, connecting diamond and gemstone suppliers directly with retailers across more than 70 countries. We're a small, high-ownership team with a remote-first culture, powering over $300M in annual transactions.
Build LLM-powered agents and production ML systems to automate security analysis.
Collaborate with threat-research and data engineering to turn risk identification into scalable solutions.
Own deployment, monitoring, and quality of solutions in CI/CD frameworks.
Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. The company is the world's largest in-line cloud security platform, distributed across 160+ exchanges, with an AI-native culture focused on ownership, collaboration, and trust.
Build and ship production AI systems for the core finance workflows.
Own evals: metrics, test datasets, and monitoring of quality, cost, and latency.
Iterate end-to-end on AI products, from data pipelines to deployment.
Sibill is an AI-powered platform that unifies invoicing, payments, treasury, and accounting for SMEs and accountants in Italy. Backed by €12M from Creandum, the company serves over 5,000 businesses and 300+ firms with a team of over 130 people.
Shape ML course content including sections, lessons, labs, and notebooks.
Write and narrate short video lessons and record demo walkthroughs.
Collaborate with curriculum and production teams to deliver engaging training.
A global hands-on tech-education platform used by over a million engineers to learn DevOps, cloud, Kubernetes, and AI. Its courses are built around real labs and taught by practising engineers, fostering a collaborative and flexible culture.
Research and develop new methods that push the frontier of Speech AI.
Improve data quality, build evaluation harnesses, and analyze production model accuracy.
Partner with researchers and engineers to turn research prototypes into production-ready systems.
AssemblyAI builds best-in-class Voice AI models powering next-generation voice applications. With under 100 employees, the company is lean, capital-efficient, and meritocratic, giving every team member outsized ownership and impact.
Build new functionality within a fast-moving product, taking ambiguous ideas from design to rigorous experimentation within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build production-grade ML systems at Twilio scale, leveraging the latest AI development stacks to focus on core differentiation.
Twilio is a cloud communications platform that enables businesses to create personalized customer experiences through APIs and AI-driven solutions. The company is remote-first, serving hundreds of thousands of businesses, and fosters a culture of connection, inclusion, and innovation.