Design and maintain reliable, low-latency ML APIs to integrate Safety AI model outputs into cloud applications.
Build scalable data pipelines for continuous model iteration, backtesting, and online evaluation.
Optimize model artifacts for production and monitor rollout health, ensuring predictable failure modes.
Samsara builds a Connected Operations Cloud that helps physical operations use IoT data to improve safety, efficiency, and sustainability. Samsara is a recently public company with an employee-led remote culture and a long-term focus.
Productionize ML models into reliable, scalable systems with CI/CD, data versioning, and model governance.
Implement monitoring for data quality, drift, model performance, and pipeline health with clear alerting.
Refactor research code into reusable components and enforce engineering best practices.
Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years, backed by Spark Capital & Foundry.
Drive and continuously improve MLOps practices across the machine learning environment.
Build, optimize, and maintain CI/CD pipelines using GitLab for reliable ML delivery.
Productionize and maintain machine learning models using AWS, with a focus on SageMaker.
The company operates a globally deployed recommender system and focuses on machine learning infrastructure. The team is collaborative and supportive, with an emphasis on knowledge sharing and professional development.
Build and operate the real-time inference service that scores models for the risk decision engine, with low latency and high availability.
Own model deployment infrastructure including registry, versioning, CI/CD, and staged rollouts.
Build model observability with availability, latency, error monitoring, and drift detection.
Mercury is a fintech company that builds banking services for startups. They are committed to diversity and inclusion, and are an equal opportunity employer.
Own multi-terabyte-per-day log pipelines across AWS and GCP, including ingest, enrichment, schema management, and cost control.
Model security data and tune query performance in Snowflake, BigQuery, and Redshift for detection engineering.
Build automation, AI agents, and infrastructure as code to support cyber defense and incident response.
DoorDash is a technology and logistics company that connects consumers, merchants, and Dashers through its delivery network. It is a large, rapidly growing company with a culture of empowerment and inclusion, committed to supporting employee well-being.
Design and maintain the MLOps platform for experiment tracking, model registry, and CI/CD practices.\n- Productionize ML models into scalable, low-latency serving infrastructure with monitoring and rollback.\n- Automate retraining, evaluation, and deployment pipelines to reduce manual intervention.
Yuno builds payment infrastructure that connects companies to over 300 payment methods worldwide via a single API, using AI for intelligent routing and fraud prevention. It is a growing company with a global reach, founded by veterans from payments and technology, and emphasizes innovation and remote collaboration.
Develop and evolve the internal developer platforms that support development across Abnormal.
Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure.
Shape abstractions and workflows that are AI-native, consumable by both humans and AI agents.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. The company serves over 4,500 enterprises and fosters an inclusive culture as an equal opportunity employer.
Build and maintain high-volume ingestion and ETL pipelines in Python that process telemetry from mobile endpoints.
Implement detection logic from research prototypes and design parsers for complex mobile forensic artefacts.
Ensure data platform scalability and reliability, establishing monitoring, alerting, and data quality checks.
iVerify is the first mobile threat hunting company that protects mobile devices like any other vulnerable corporate endpoint. They are a venture-backed company committed to building a diverse, equitable, and inclusive workplace.
Build and operate model and inference serving infrastructure, managing latency, throughput, autoscaling, and reliability for real-time and batch inference.
Own the ML deployment lifecycle: model registry, versioning, promotion workflows, rollout strategies, and safe rollback.
Operate agentic and LLM workloads in production, managing inference providers, gateways, quotas, guardrails, and graceful degradation under load.
ReadyOn is an AI-native Labor Operating System that redefines how enterprises manage frontline labor by matching workers to shifts in real time. Headquartered in San Francisco with over 100 employees, it grew revenue 8x year over year in 2025.
Design, build, and ship production services, APIs, and user-facing interfaces.
Build and operate production AI systems including RAG, fine-tuning, and inference optimization.
Architect AWS/GCP environments with Kubernetes and Terraform and control cloud/AI costs.
Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. Serving nearly 100,000 customers across industries, the company values a diverse and inclusive workplace.
Develop tools and automate manual processes to improve operational efficiency and accelerate experimentation.
Build, integrate, and monitor end-to-end lifecycles of large-scale distributed machine learning systems.
Enhance ML pipelines for forecasting platforms with automated retraining and deployment.
Apella applies computer vision and machine learning to improve the standard of care in surgery. They are a remote-first startup focused on building reliable ML solutions for healthcare.
Own the platform including GCP, Kubernetes, Temporal, GPU fleet, and deploy/rollback machinery.
Contribute to AI enablement substrate: GPU capacity, training/inference pipelines, and cost optimization.
Strengthen team practices through tooling, standards, tests, observability, and release processes.
Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. They are a team of 150 backed by top investors like OpenAI and Andreessen Horowitz, with a culture that values collaboration and serendipitous discovery.
Drive technical design and delivery of foundational systems for autonomous investigation at scale.
Architect and implement core platform components across the AI-SOC stack, including data ingestion and ML model integration.
Provide technical mentorship to senior and staff engineers and establish engineering standards.
Rapid7 provides cybersecurity solutions to help organizations manage risk and eliminate threats across the entire threat landscape. With over 11,000 customers and 20 years of industry experience, the company fosters a dynamic and collaborative workplace where new ideas are welcomed.
Develop machine learning solutions for supply chain planning, from tech selection to production code.
Write Python code for microservice architectures and contribute to the continuous improvement of the AI platform.
Participate in agile processes including sprint planning, pair programming, and retrospectives with cross-functional teams.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2,000 employees worldwide, the company fosters a culture of innovation, collaboration, and continuous learning, and has won several Top Employer awards.
Design, build, and improve production agentic AI systems used to solve complex real-world problems.
Develop agent architectures, model integrations, and evaluation frameworks for reliable, production-grade AI.
Build scalable APIs, services, and infrastructure supporting agent execution and AI-powered product experiences.
Air is the leader in Enterprise Readiness, providing an AI-native platform to align development, production, delivery, and sustainment for government agencies and industrial suppliers. The company is a startup with a focus on mission-driven work and innovation.
Design, build, and operate end-to-end ML systems across batch and real-time workloads.
Develop production capabilities for personalization, recommendations, optimization, and experimentation.
Provide technical leadership for ML architecture and distributed systems.
Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. It is a remote-first company that values initiative, openness, and humility.
Own the infrastructure layer for AI workloads including inference serving, Kubernetes, and agent-sandboxing platforms.
Manage the serving tier for open-weight models, Kubernetes operators, and stateful data planes.
Oversee the sandbox runtime, control-plane services, and observability tooling.
AZX accelerates positive impact in critical industries through AI transformation, specializing in physics-informed ML and enterprise AI solutions for climate and sustainability. Founded in 2024, the company is a profitable public benefit corporation with a growing team working with category leaders in real estate, energy, logistics, and utilities.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
Designing and building scalable data pipelines that power AI models, machine learning workflows, and intelligent product capabilities.
Owning the reliability, performance, and operational excellence of production data platforms.
Developing ETL/ELT solutions using Python, SQL, AWS, and modern cloud-based data technologies.
Ideagen provides software solutions that improve safety and quality across aviation, food, and healthcare industries. With offices globally, the company values work-life balance and fosters a culture of innovation, leveraging AI to work smarter.
Develop and implement scalable, performant solutions for platform reliability and observability.
Partner with engineering managers and stakeholders to execute technical roadmaps using Agile processes.
Mentor and coach junior engineers, conducting thorough code reviews and fostering growth.
Aledade partners with independent primary care practices to build and operate accountable care organizations, leveraging technology to improve patient outcomes. They are a growing public benefit corporation with a collaborative culture and hundreds of employees.