Take research-quality ML code from R&D and refactor it into production-ready, maintainable, deployable systems.
Own end-to-end deployment of ML pipelines including data ingestion, feature engineering, model serving, and monitoring.
Integrate structured development practices like task management, Git workflows, code reviews, and CI/CD on a fast-moving team.
Nascent builds, expands, and captures opportunity in open markets and permissionless technologies, deploying assets across liquid and long-term strategies. The team is an interdisciplinary group of engineers, quants, and operators who treat skill-building like a sport, with a culture of competition and curiosity.
Develop, train, and optimize machine learning models using Python and common ML libraries.
Support data preprocessing, feature engineering, and CI/CD integration for scalable ML solutions.
Collaborate with data engineers and stakeholders in an Agile environment to align ML solutions with business needs.
Makpar is a professional and technical solutions provider for the Federal government, specializing in cloud engineering, data management, cybersecurity, and emerging technologies. The company's connected and engaged workforce is dedicated to delivering success for clients and the American people.
Own, debug, and improve production ML pipelines for accuracy and efficiency.
Design LLM evals, LLM-as-a-judge systems, datasets, and benchmarks to monitor quality.
Run experiments on prompts, models, and pipeline designs to drive improvements into production.
Mimica is an AI-powered process intelligence platform that helps enterprises reclaim time by analyzing workflows and generating AI agents to automate tasks. Backed by $26M in Series B funding and trusted by Fortune 500 companies, the remote-first team spans 16+ countries and values high ownership and transparent communication.
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.
Bridge data science and production by building MLOps pipelines.
Develop scalable data processing solutions with Spark and Databricks.
Productionize ML models and ensure reliability through monitoring.
This company powers the global digital audio advertising ecosystem, turning large-scale listener data into actionable insights for advertisers. It operates in a technically advanced, cross-functional environment with a culture centered on respect, equity, and professional development.
Build and maintain features across CLI, backend, and frontend with AI coding agents as a core part of your workflow.
Take ownership of projects from idea through deployment and beyond, making architecture and design decisions.
Collaborate closely with teammates, operationalize quality, and contribute to a culture of support and excitement.
Minimal builds a secure, reproducible foundation for software with private artifact registries and policy enforcement. They are a small, remote team that values predictable and effortless software development.
Build production pipelines that parse clinical standards into validated, executable modules.
Design and refine representations for guideline logic, including exclusions, precedence, and recommendations.
Evaluate models, develop benchmarks and adversarial cases, and ship successful improvements into production.
This healthtech company builds a production compiler that turns clinical standards into executable, traceable decision logic. The team is research-focused and collaborative, working across disciplines to improve the reliability of clinical decision systems.
Build and maintain the backend systems powering ElevenLabs' managed services productions platform.
Own the scope of human data platforms, core productions engine, or editor platform using Rust and full-stack engineering.
Ensure reliability, scalability, and high quality in internal platforms and data pipelines.
ElevenLabs is an AI research and product company transforming how we interact with technology, providing AI voice, agent, creative, and API platforms. They have raised $781M in funding, valued at $22B, and serve millions of users and thousands of businesses with a high-velocity, impact-driven culture.
Design, build, and productionize machine learning and agentic AI functionality.
Partner with product engineering squads to embed AI capabilities into Arkestro's product.
Contribute to AI/ML architecture decisions and own evals and ground truth for your projects.
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations, helping teams move from reactive supplier bidding to data-driven offers. It is a hyper-growth, remote-first startup with a collaborative culture focused on meaningful work and significant impact.
Design, build, and deploy production-ready AI and LLM-powered applications for nonprofit organizations.
Develop evaluation methods, contribute to open-source tools, and collaborate with field teams.
Take technical ownership across the ML lifecycle and translate research into scalable products.
A mission-driven engineering team developing practical AI systems for healthcare, agriculture, education, and international development. The company values autonomy, collaboration, and technical excellence, working as a small, interdisciplinary team.
Design, build, and maintain infrastructure for training, fine-tuning, and serving large language models.
Deploy and scale LLM inference services, manage GPU compute, and optimize workload scheduling and utilization.
Automate deployment workflows with infrastructure-as-code and CI/CD, and collaborate with ML engineers to move models to production.
Hire Hangar connects top talent with vetted employers and offers competitive pay and real growth opportunities. It focuses on matching remote contractors with fast-growing global companies.
Be the AI/ML subject matter expert, shaping strategy and best practices.
Implement AI/ML solutions, write clean code and unit tests, and create documentation.
Collaborate in an Agile team with 2-week sprints, participating in code reviews and client meetings.
Smile Digital Health provides a FHIR-based data liberation platform that helps healthcare stakeholders collect and exchange data, used in over 20 countries. They foster a culture of respect, inclusion, and belonging, valuing diversity and empowering employees to bring their authentic selves to work.
Develop and enhance AI-powered features across existing products using LLMs and modern AI frameworks.
Integrate conversational AI, voice AI, and RAG pipelines into production applications.
Collaborate with product teams and AI scientists to improve AI quality and ensure scalability and performance.
Pleased provides customer service software (SaaS) to clients worldwide. The company has a remote development team in Europe with around 30 employees and is expanding, with a fast-moving startup culture that values ownership and collaboration.
Own the deployment and production lifecycle of models powering product experiences and marketing workflows.
Build and maintain feature pipelines, monitoring systems, and CI/CD infrastructure for real-time inference and model health.
Collaborate with data scientists and product engineers to ship scalable ML solutions across both product and marketing use cases.
Ethos is a leading life insurance technology company on a mission to democratize access to life insurance and empower agents at scale. With a three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers, and is publicly traded on Nasdaq.
Own the ML infrastructure end-to-end, from pipelines to production.
Build data products from internal signals like conversion and expansion.
Cross team boundaries, shipping in engineering's repos and driving cross-team work.
Clerk solves the user identity layer for developers, providing full-stack React components and hooks for authentication and user management. A globally distributed, deliberately small and senior team focused on building best-in-class developer infrastructure for AI software.
Embed with business and clinical teams to learn workflows and identify where AI can reduce manual work.
Ship production-quality AI tools that turn six-to-eight-hour tasks into under thirty minutes, using telemetry and privacy-by-design.
Drive adoption until teams run the tools independently, then turn learnings into reusable building blocks.
Rula is a mental health care company making mental healthcare work for everyone through evidence-based, compassionate care. It is remote-first, inclusive, and hires across most U.S. states.
Lead development of production ML models for customer lifetime value, conversion, and recommendations.
Advance personalization and recommendation systems using Databricks and MLflow.
Establish best practices in ML including monitoring, experimentation, and mentoring.
NerdWallet's mission is to provide clarity for all of life's financial decisions. They are a growing, remote-first company with an inclusive and supportive team culture.
Take customer problems from idea to working prototype quickly, prove or kill an approach with data, and move what works into production.
Train, fine-tune, and evaluate models for matching, classification, and extraction problems using classical ML, embeddings, and LLMs.
Design and ship RAG systems, embedding-based retrieval, and LLM-powered features on AWS, owning the full ML lifecycle.
Wiser Solutions is a competitive intelligence platform that brands, retailers, and marketplace sellers use to win more sales online. It serves brands and retailers globally, providing real-time visibility into pricing, product availability, and promotions.
Design, build, and operate data pipelines across the Accelerator's medallion architecture, ensuring data quality and versioned schema contracts.
Develop and operate ML and NLP enrichment pipelines, including language identification, translation, and classification at scale.
Collaborate with research teams to define data products and provide direct technical support on the platform.
Princeton University is a leading Ivy League institution that advances education and research across disciplines. Its Accelerator supports computational social scientists with a shared data and compute platform, fostering a collaborative and innovative environment.