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.
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.
Lead the development and optimization of machine learning models to detect and prevent AI security risks like prompt injection and jailbreaks.
Build reproducible training and evaluation pipelines on Reddit's ML platform, partnering with platform engineers to improve performance and reliability.
Set the technical vision and multi-quarter modeling roadmap, mentoring engineers and establishing best practices for responsible ML development.
Reddit is a community of communities, built on shared interests and authentic conversations, with 100,000+ active communities and 130 million daily active visitors. It is one of the internet's largest sources of information, fostering a culture of openness and trust.
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.
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.
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.
Architect, design, build, deploy, and maintain Model Serving infrastructure for a world-class Detection Engine.
Own projects that scale model serving and data processing to handle 10x traffic, including real-time streaming pipelines and online feature serving.
Collaborate with MLE and Data Science teams to build the ML Training platform, improving MLE velocity and model precision and recall.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 4,500+ enterprises trust our behavioral AI platform, and we foster a culture of innovation and impact.
Develop and deploy full-stack ML models for financial crime detection in transaction processing and onboarding.
Own the Dynamic Risk Score (DRS) system, scoring clients daily and driving quarantine and alert decisions.
Set up monitoring and champion-challenger frameworks to ensure best models are always in production.
Finom is a European tech startup developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing. With over 300 employees and a start-up culture, they prioritize innovation, swift implementation, and employee empowerment.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Design and build scalable ML and generative AI systems for customer-facing and operational use cases.
Develop end-to-end pipelines for training, deployment, and monitoring of AI solutions in production.
Collaborate with cross-functional teams to embed AI into core healthcare systems and drive technical ownership.
Redcare Pharmacy is Europe's No.1 e-pharmacy, dedicated to digital healthcare. The company fosters a collaborative environment where every employee feels valued and inspired to contribute to the vision 'Until every human has their health'.
Build tooling for capturing and processing data from agents and humans at significant scale.
Solve hard problems around compute, orchestration, scaling, security, and reliability.
Help develop approaches for training, benchmarking, and evaluating AI agents.
Prolific builds human data infrastructure for AI development, connecting researchers with a global pool of participants to collect high-quality, ethically sourced behavioral data. They are a mission-driven company at the forefront of AI innovation, with a remote culture and a focus on impactful work.
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.
Design and ship ML systems for document understanding, extraction, classification, and scoring to power Copilot and Autopilot features.
Own the full lifecycle of ML solutions from problem framing to production monitoring, using user feedback and error analysis to drive continuous improvement.
Partner with product, engineering, and accounting experts to integrate ML naturally into user workflows and define quality metrics that reflect real value.
Pennylane is a fast-growing fintech building the financial operating system for French SMEs and accounting firms, with a vision to expand across Europe. The company has grown to 1,000 employees, raised €400 million from Sequoia, and maintains a remote-friendly culture with a 4.6/5 Glassdoor rating.
Build and operate containerized services using orchestration platforms such as Kubernetes.
Develop maintainable and well-tested Python code for production services, automation, and internal tooling.
Implement data and model versioning, validation, and observability to support integrity and reproducibility throughout the ML lifecycle.
Redcare Pharmacy is Europe's No.1 e-pharmacy, dedicated to providing health products and services. With a focus on innovation and collaboration, the company fosters a supportive culture where employees are valued.
Own a major subsystem of a novel exploitability engine end-to-end, including design, delivery, and quality.
Drive design and code reviews, raise the engineering bar, and mentor engineers through influence.
Partner with product, security R&D, and SecOps to turn customer problems into subsystem design.
ServiceNow provides an AI platform that automates workflows to free people from busywork, serving as the AI control tower for business reinvention. It serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent are unstoppable.
Architect and own the technical roadmap for a secure local LLM platform deployed in company-controlled infrastructure.
Build modular inference layers with stable APIs, model routing, and production-grade serving optimizations.
Design and operate retrieval-augmented generation pipelines with permission-aware access and systematic evaluation.
Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built and powered. The company is a leader in software-centric, hardware-agnostic network solutions with a focus on reducing complexity and total cost of ownership.
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.
Lead security assessments of AI/ML models, data pipelines, and AI-enabled applications, identifying vulnerabilities such as prompt injection, model inversion, data poisoning, and adversarial inputs.
Partner with Data & Analytics and Engineering to embed security requirements and threat modeling into the AI development lifecycle, from data collection through model deployment.
Build and maintain guardrails, monitoring, and detection controls for AI systems in production, flagging anomalous model behavior and unauthorized data access.
Interra Health is a healthcare technology company that helps providers and patients navigate the prescription journey. It is a fast-growing, mission-driven team of about 100 employees, formed through the merger of DoseSpot, Arrive Health, and pVerify, and focused on reducing friction and improving access to medications.
Design and implement cutting-edge machine learning algorithms and model architectures.
Collaborate with product, engineering, and analytics teams to integrate AI features across Atlassian products.
Conduct rigorous experimentation, model evaluation, and mentor emerging ML engineers.
Atlassian creates team collaboration software like Jira, Confluence, and Trello, aimed at unleashing the potential of every team. They are a distributed-first company with thousands of employees, emphasizing diversity, inclusion, and flexible work arrangements.
Design, build, and deploy production ML and LLM-based systems for enterprise clients.
Own technical delivery end-to-end from architecture to deployment and iteration.
Mentor and support other ML engineers through code reviews and technical guidance.
TensorOps is a boutique AI consultancy that designs and ships production-grade AI systems for enterprise clients. The company has shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns, and operates fully remotely with a supportive, fast-growing culture.