Design, build, and operate scalable backend services, APIs, and data pipelines for ML-driven personalization.
Improve reliability, performance, and observability of production ML systems, including model versioning and safe rollout.
Collaborate with data scientists and product engineers to translate business needs into robust technical solutions.
Hungryroot uses AI to build a consumer-centric food and wellness company, acting as a personal assistant for healthy living by recommending and delivering healthy groceries, recipes, and supplements. They are a distributed team across 28+ US states with a remote-first culture emphasizing collaboration, flexibility, and an annual company retreat.
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.
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.
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.
Design, develop, and deploy foundational AI and ML models, building robust, scalable pipelines for advanced analytics.
Champion top-tier coding, testing, and MLOps practices, navigating ambiguity to refine pipelines and elevate workflows.
Partner with cross-functional stakeholders to convert strategic needs into technical specs and embed ML features into live applications.
Wave helps small businesses thrive so the heart of our communities beats stronger. They create an environment buzzing with creative energy and inspiration, valuing boldness, quick learning, and generous knowledge sharing.
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.
Lead the technical vision and roadmap for the ML platform.
Partner with Product and Engineering leadership to align investments.
Establish MLOps practices and optimize large-scale model training and serving.
The hiring company builds machine learning platforms and MLOps solutions for large-scale AI development. It offers a collaborative and specialized environment with a focus on technical excellence and innovation.
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.
Design, develop, and maintain MLOps pipelines on AWS to automate and operationalize machine learning models.
Collaborate with Data Scientists to deploy, monitor, and scale ML solutions in production environments.
Architect cloud-based systems, integrate APIs, and build web applications and LLM-powered agents.
The company is a partner of Jobgether, specializing in cloud and AI solutions. It fosters a collaborative, innovation-driven environment with a focus on professional development and employee well-being.
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.
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.
Design and maintain CI/CD and MLOps pipelines for AI and software applications, ensuring seamless deployment and automation.
Build and scale cloud-native infrastructure using Kubernetes, Docker, and GPU clusters to support high-performance AI workloads.
Champion Infrastructure as Code and observability practices to ensure high availability, security, and compliance across multi-cloud environments.
Bitdeer is a world-leading technology company providing AI and Bitcoin mining infrastructure. Headquartered in Singapore, the company has a global presence with data centers in multiple countries and a culture focused on innovation and reliability.
Own production uptime, latency, provisioning speed, infrastructure cost, and incident response for core platform services.
Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management.
Design and improve backend and platform systems for scale — capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths.
A fast-growing AI/ML platform startup building infrastructure for training, evaluating, and aligning AI models within reinforcement learning environments. The engineering team of ~15 includes competitive programming medalists, serial AI startup founders, and researchers published at top venues.
Lead AI/ML strategy, architecture, and technical implementation across complex programs.
Design, develop, and deploy scalable AI/ML models and intelligent systems for decision support and automation.
Integrate cybersecurity, data governance, and compliance into AI/ML development workflows.
This company specializes in AI and machine learning solutions, focusing on secure, scalable production deployments. It fosters a collaborative culture with opportunities to work on advanced technologies and mentor others.
Design, build, deploy, and maintain scalable machine learning and AI systems in GCP to solve complex business problems and create new value.
Partner across teams to understand problem definitions, data needs, and solution approaches, and support model deployment with MLOps practices.
Take ownership of production issues, perform root cause analysis, and improve documentation and quality assurance processes for ML systems.
General Mills makes food the world loves, operating across 100+ markets. As a large company, it prioritizes being a force for good and fosters a culture of bold thinking and big hearts, where employees challenge each other and grow together.
Own the full ML delivery lifecycle from data discovery to deployment, monitoring, and retraining.
Build forecasting and detection models robust to real-world data quality issues and defend tradeoffs.
Maintain client-facing presence and feedback loop, shipping usable capability like FastAPI, React, or scheduled jobs.
We accelerate positive impact in critical industries through AI transformation, specializing in physics-informed ML and enterprise AI solutions for climate and sustainability. We're a fast-growing, profitable public benefit corporation founded in 2024, working with category leaders in real estate, energy, logistics, and utilities.
Define the technical vision and strategy for the machine learning platform supporting ML and generative AI development.
Set reference architectures and standards for scalable data and ML pipelines, MLOps practices, and production reliability.
Provide technical leadership and mentorship across engineering teams to raise the bar for ML systems.
PointClickCare provides cloud-based healthcare software solutions. With a large engineering team that values collaboration and innovation, they foster a culture of technical excellence and mentorship.
Design and maintain CI/CD and MLOps pipelines for software and machine learning models.
Build and scale cloud-native infrastructure using Kubernetes, Docker, and GPU clusters.
Champion Infrastructure as Code and observability to ensure high availability and governance.
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure, providing comprehensive solutions and cloud capabilities. Headquartered in Singapore, the company has deployed data centers across multiple countries and fosters a culture of innovation.
Own the ML/AI platform including training infrastructure, model serving, inference pipelines, and production integration.
Drive the GenAI/LLM strategy including retrieval architectures, evaluation harnesses, and agentic workflows.
Partner with data scientists, DevOps, and backend engineers to productionize models and define API contracts.
SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 banks and credit unions throughout the United States. The company was recognized as a 'Top 25 Places to Work' in the San Francisco Bay Area and is an Inc. 5000 Fastest Growing Company.
Build and operate the Kubernetes platform supporting AI test and evaluation frameworks.
Design infrastructure-as-code, GitOps workflows, and automated deployment pipelines.
Own platform reliability, observability, capacity planning, and operational readiness.
OpenTeams helps enterprises and governments build AI they control, govern, and evolve themselves. Founded by the creator of NumPy and SciPy, the company is built by people with deep roots across the open-source ecosystem and maintains a remote-first culture.