Set technical vision and strategy for foundational model and user understanding roadmap.
Collaborate cross-functionally with vertical customer, horizontal signal, and infrastructure teams.
Lead and mentor a high-performing ML team, driving technical execution from ideation to deployment.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Architect, implement, and maintain foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, and Ads.
Create ML data-governance tools that help MLEs discover and reason about signals.
Drive complex projects end to end from technical planning through implementation, testing, rollout, and ongoing operation.
Reddit is a community of communities hosting authentic conversations on shared interests. With 100,000+ active communities and about 130 million daily active visitors, it is a top internet information source.
Own the full ML lifecycle for Misdirected Email detection, from data wrangling to deployment and monitoring.
Run rigorous experiments and A/B tests, set thresholds, and conduct error analysis to prevent regressions.
Partner with product and engineering stakeholders to align deliverables and ensure successful GA launches.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 5,000 enterprises trust our behavioral AI platform.
Lead and grow the ML Dataset Platform team as both technical lead and people manager, setting technical direction and defining the roadmap.
Define APIs, tools, and storage formats for ML datasets, balancing reuse with specific training workload needs.
Own common dataloading tools, streamline multi-cloud data access, and drive adoption across model teams.
Waabi is the leader in Physical AI, developing autonomous transportation technology for commercial trucks and robotaxis. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, we're a growing company with a world-class team that values diversity and innovation.
Build and scale the core infrastructure powering Vectara's AI agent platform.
Lead backend services, CI/CD, and observability initiatives with a focus on reliability.
Mentor team members and champion best practices in code quality and DevOps.
Vectara is an AI agent platform that builds secure, scalable infrastructure for AI-powered search and assistants. The team values engineering excellence, automation, and collaboration as they scale their platform.
Lead and support a senior team of Data Scientists and Machine Learning Engineers, driving career development and growth.
Partner with Product Management and Decision Science to shape the product roadmap and define success metrics.
Design, build, and deploy machine-learning pipelines for modeling jobseeker behavior and marketplace dynamics.
ZipRecruiter is a leading online employment marketplace powered by AI-driven smart matching technology. The company actively connects millions of businesses and job seekers through innovative mobile, web, and email services, with the #1 rated job search app.
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.
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 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 end-to-end ML systems from data and training to evaluation, inference, and deployment.
Build and evolve training, fine-tuning, and inference infrastructure for large models.
Partner with research and application engineering to turn model capabilities into product improvements.
Next Step Systems is an IT recruiting and staffing agency that connects companies with machine learning and technology talent. They specialize in placing candidates in remote and on-site roles across the United States and emphasize a fast-paced, results-oriented culture.
Lead three highly technical teams spanning machine learning engineering, computer vision, forecasting, and data platform.
Ensure machine learning systems move reliably from research to production with measurable real-world impact.
Manage, mentor, hire, and grow the department of engineers and data engineers across three distinct teams.
Apella Technology applies machine learning to surgical healthcare operations, using computer vision and forecasting to improve clinical workflows. The company fosters a remote culture and is an equal opportunity employer, encouraging diverse backgrounds to apply.
Orchestrate production pipelines on Databricks Jobs with task dependencies and failure handling.
Manage model lifecycle in MLflow and Unity Catalog across dev, QA, and production.
Ensure operational continuity with cost monitoring, observability, and incident diagnosis.
Muttdata builds innovative data products and machine learning solutions for demand planning, forecasting, and e-commerce. As a fast-growing, remote-first startup, they value ownership, collaboration, and continuous learning.
Build production-ready infrastructure for autonomous AI agents, including secure code execution, state management, and model routing.
Collaborate with research teams to turn emerging ML ideas into scalable, fault-tolerant distributed systems.
Prototype and evaluate new technologies for agent workflows, from identity to resource management.
Cohere is a security-first enterprise AI company building foundation models and end-to-end products for real-world problems. We are a global team of engineers, researchers, and designers passionate about our craft, with offices worldwide.
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.
Lead technical design and architecture for Medium's ML recommendation backend.
Build and scale feature store, recommender systems, and ML Ops.
Mentor engineers and drive cross-functional technical direction.
Medium is an online publishing platform that connects millions of readers with ideas and stories. The company values engineering excellence, collaboration, and a culture of mentorship and continuous improvement.
Design, build, and evolve systems for distributed model training and batch inference at scale.
Develop workflows for experiment tracking, model evaluation, and registry management.
Optimize training and inference performance across GPU utilization, data loading, and distributed communication.
NOETIK is a frontier therapeutics company using AI to understand human biology and improve oncology outcomes, building foundation models on proprietary multimodal data. It fosters a collaborative, interdisciplinary culture focused on solving hard problems together.
Build and maintain automated, tested ML/data pipelines to take data science models from notebooks to production.
Optimize CI/CD, workflow orchestration, and observability to keep match data reliable at scale.
Partner with data science to maintain feature pipelines, run EDA, and apply AI tools across workflows.
PAR Technology is a leader in restaurant technology, providing software and hardware that help brands create guest connections and drive growth. Serving over 100,000 restaurants in 110+ countries, it fosters a collaborative 'Better Together' culture within its growing SaaS organization.
Design, build, and operate AWS infrastructure supporting ML models, AI tools, and event-driven integrations.
Build reliable CDC pipelines and event-driven integrations with third-party systems like Salesforce and Braze.
Implement observability, secure operations, and model monitoring for production ML and LLM systems.
National Debt Relief helps consumers resolve debt and has settled over $10 billion for 450,000 clients. It is a certified Great Place to Work known for a team-oriented culture and employee growth.
Architect automated ML systems and establish core infrastructure.
Translate ambiguous business needs into concrete technical roadmaps.
Drive end-to-end deployment of ML products with measurable business impact.
Hims & Hers is a leading health and wellness platform providing personalized care from diagnosis to treatment. The company is publicly traded on NYSE and fosters a flexible, remote-first culture with a focus on innovation and employee well-being.