Lead the design and operation of production machine learning systems for batch and online use cases with a focus on reliability and scalability.
Build and improve ML lifecycle infrastructure including training pipelines, inference workflows, monitoring, and automation.
Partner with cross-functional teams to translate business problems into ML solutions and guide prototypes to robust production systems.
Included Health is a healthcare company delivering integrated virtual care and navigation, aiming to raise the standard of healthcare for everyone. They are a remote-first organization offering comprehensive benefits and fostering a culture of inclusion.
Design and implement AI capabilities for intelligent data characterization and decision support.
Evaluate, optimize, and deploy open-weight foundation models for resource-constrained edge environments.
Develop efficient inference pipelines and implement RAG, semantic search, and model optimization techniques.
Expression provides data fusion, analytics, AI/ML, software engineering, and spectrum management solutions to the U.S. Department of Defense and national security community. Founded in 1997 and headquartered in Washington DC, the company was ranked #1 on Washington Technology's 2018 Fast 50 and is a Top 20 Big Data Solutions Provider, fostering a collaborative culture with opportunities for growth.
Design and maintain scalable ML infrastructure including data pipelines, training workflows, and model deployment systems.
Own end-to-end ML lifecycle operations, ensuring reliable delivery of models into production at scale.
Implement monitoring, telemetry, and feedback loops for ML models running across large-scale device fleets.
Our partner company develops ML systems for connected hardware products used by customers worldwide. They operate in a fast-paced, product-driven environment with a collaborative and technically ambitious culture focused on real-world ML impact.
Design and implement security controls for AI systems, including LLMs and ML pipelines.
Develop threat models and guardrails to protect against adversarial ML risks like prompt injection and model abuse.
Collaborate with cross-functional teams to ensure secure and responsible deployment of AI capabilities at scale.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. They partner with companies to manage applications and next steps, focusing on efficient and fair hiring processes.
Own the ML serving API and deploy models to production with CI/CD and infrastructure as code.
Build monitoring, alerting, and reliability for NBA models and LLM agents.
Drive architectural decisions and mentor engineers on MLOps patterns.
Clutch is a vertical SaaS company backed by Andreessen Horowitz, revolutionizing how credit unions engage with members via fintech lending software. The company is small and ambitious, with a lean data team of five that values pragmatism and fast shipping.
Build and maintain scalable machine learning solutions in production.
Train and validate deep learning and statistical models for real-world applications.
Partner with product managers and engineers to define requirements and drive ML roadmap.
Twilio is a cloud communications platform that empowers businesses to build personalized customer experiences through APIs. With thousands of employees worldwide, the company champions a remote-first culture focused on inclusion and innovation.
Build into the product by writing investigation flows, building integrations with security tools, and fixing bugs.
Evolve the investigation logic and pipelines to handle new classes of security alerts, balancing accuracy, performance, and maintainability.
Contribute directly to the Python codebase while influencing architectural decisions and long-term product strategy.
Dropzone AI scales cybersecurity beyond human limits by augmenting security engineers with AI specialists. The venture-backed company is disrupting the $200B+ cybersecurity market and has a team with deep experience in cybersecurity, AI/ML, and SaaS.
Collaborate with data scientists and engineers to build scalable ML pipelines, troubleshoot infrastructure issues from Linux to Kubernetes, and optimize model performance.
Drive high engineering standards, design on-premises MLOps solutions, and maintain tools for deployment and monitoring.
Refine CI/CD workflows, incorporate ML model training and evaluation into testing, and ensure seamless handover between research and production.
Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, focused on supercharging productivity and learning. The company supports high-growth businesses with centralized corporate operations and has a virtual-first culture with employees across multiple countries.
Define security architecture and build controls for AI platforms, training and inference workflows, and agentic systems.
Design reusable security patterns for identity, authorization, and runtime controls to constrain execution and data exposure.
Lead hands-on security reviews and influence security architecture through practical design changes and reusable controls.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs, delivering industry-leading training and inference speeds. With dozens of model releases and rapid growth, they have a non-corporate work culture that respects individual beliefs.
Collaborate with data scientists and software engineers to build scalable data pipelines and ML deployment systems.
Troubleshoot issues across the ML infrastructure stack, from Linux and Docker to Kubernetes and model serving.
Drive high engineering standards through code reviews, testing, and CI/CD enhancements.
Quillbot helps students and professionals strengthen their writing with AI-powered tools. We serve over 56 million users globally and foster a collaborative, virtual-first culture.
Lead cross-functional efforts to re-architect or modernize core data systems.
Create sustainable data contracts that address data governance requirements.
Enable scalable, secure, and reliable data pipelines supporting both cloud and on-prem environments.
Dragos is the global leader in xOT cybersecurity, combining technology, threat intelligence, and expert services. The company is remote-first with a mission-driven team across North America, Europe, the Middle East, and APAC, built on authenticity, transparency, and trust.
Build ML infrastructure for low-latency model deployment, distributed inference pipelines, and real-time telemetry.
Scale ranking systems by moving models from experimentation to production, optimizing latency and cost trade-offs.
Implement model CI/CD for automated versioning, canary releases, hot-swappable container rollouts, and zero-downtime rollbacks.
Sequen provides an integrated platform that pairs cutting-edge frontier ranking models with infrastructure to run them in production at sub-10ms latency and enterprise scale. They are a small, highly technical, early-stage team focused on turning recent AI advances into production-grade systems.
Engineer security infrastructure across AWS and Kubernetes including telemetry pipelines, cryptographic lifecycle, and compliance automation.
Build and maintain agentic AI workflows using tools like Claude Code and MCP integrations to automate security engineering tasks.
Embed security controls into deployment pipelines and develop threat models that inform architecture decisions.
Lumin Digital creates cutting-edge digital banking solutions for credit unions and banks as a 100% cloud-native company. Their culture is built on trust, respect, and boldness in a fully remote environment.
Build and operate production-grade model serving infrastructure using vLLM, TGI, or Triton frameworks.
Design and implement auto-scaling, multi-model architectures, and intelligent request routing for ML inference.
Optimize GPU utilization, memory efficiency, and observability to ensure low-latency, cost-effective systems.
They are a distributed cloud infrastructure startup building AI-native cloud services with GPU-powered compute. The company is well-funded, fast-scaling, and operates in a remote-first environment with a focus on sustainability and decentralization.
Drive security engineering initiatives and embed security across engineering teams.
Manage threats and respond to incidents with advanced automation and AI agents.
Architect secure solutions for AI/ML workloads and mentor team members.
EarnIn is a pioneer of earned wage access, building products that deliver real-time financial flexibility for those living paycheck to paycheck. They have an experienced leadership team and world-class funding partners, and are growing fast with a healthy core business.
Define and document enterprise AI use cases, business value drivers, and target delivery models aligned with organizational goals.
Develop and maintain current-state and target-state AI architecture across the enterprise, including platforms, data flows, integration patterns, security controls, and governance.
Lead build-versus-buy evaluations for AI platforms and services, establish reusable architecture patterns, and guide proof-of-concept strategies.
ISC2 is the world's leading nonprofit member organization for cybersecurity professionals, dedicated to a safe and secure cyber world. With a globally recognized portfolio of certifications and a charitable arm, the organization fosters an inclusive culture built on integrity, advocacy, commitment, inclusion, and excellence.
Design and develop machine learning models for localization workflows, including machine translation and LLM finetuning.
Implement and optimize models using Python, TensorFlow, and deploy via Docker and AWS services.
Evaluate and select ML techniques, perform statistical analysis, and maintain clear documentation.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure with a network of over 500,000 linguists and domain experts, backed by seven ISO certifications.
Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics and automation.
Develop and operationalize end-to-end ML workflows from data preparation to model monitoring.
Collaborate with Product and Engineering teams to identify high-impact use cases and deliver AI-powered data products.
Boulevard provides a client experience platform for appointment-based self-care businesses, empowering customers to give clients magical moments. The company values diversity, experimentation, and simplicity, and celebrates diverse backgrounds.
Lead operational excellence, reliability, and support of enterprise AI and data platforms, ensuring stability, scalability, and observability.
Design and implement automation, monitoring, and operational tooling for AI/ML platforms including Palantir Foundry, AWS Bedrock, and SageMaker.
Serve as a senior escalation point for complex production issues, driving root cause analysis and improving platform stability.
CSAA Insurance Group, a AAA insurer, offers personal lines of property and casualty insurance to AAA members across 23 states and DC. Founded in 1914, they are one of the top personal lines insurers in the US with over 3,800 employees, known for a values-based culture and recognition in leadership development and community involvement.
Design, deploy, and optimize production-grade machine learning systems for the full ML lifecycle.
Build scalable MLOps platforms, CI/CD workflows, and model serving infrastructure.
Collaborate with engineering teams to improve platform scalability, security, and operational best practices.
They build scalable MLOps infrastructure for enterprise AI solutions. They foster a collaborative, remote-first culture focused on innovation and professional growth.