Build and improve computer vision and 3D perception models that detect and assess infrastructure from LiDAR and imagery.
Develop LLM-powered products like agentic workflows, MCP servers, and AI copilots for customer tools.
Own models end-to-end, from data and training through evaluation, deployment, and monitoring in production.
Cyvl is a Physical AI company building purpose-built sensors, computer vision, and AI to turn every drive into current data for infrastructure. We're a fast-moving Boston startup with 500+ cities using our platform, and a culture of ownership, intensity, and care.
Design, develop, train, test, and deploy AI/ML models and solutions for enterprise environments.
Collect, clean, analyze, and prepare datasets for AI/ML modeling.
Evaluate AI/ML solutions for performance, security, reliability, and enterprise suitability.
PingWind provides cybersecurity, IT infrastructure, supply chain management, and professional services including system design and continuous improvement. It is an SDVOSB with offices in Northern Virginia and Huntsville, AL, and a focus on supporting federal government clients.
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.
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.
Own end-to-end technical strategy for major areas of the Voyager SDK’s application layer, including model deployment and pipeline development.
Set technical direction for image processing, create reusable architectures, and partner with the compiler team to resolve compilation issues.
Represent the Applications team’s capabilities to business stakeholders, mentor engineers, and drive documentation standards.
Axelera AI is a deep-tech company creating a next-generation AI platform to advance humanity. With $450 million raised and 250+ employees including 60+ PhDs, they have a strong business pipeline exceeding $100 million and are committed to innovation.
Own end-to-end deployment of Tines' platform within complex enterprise environments.
Drive adoption across the organisation by training and supporting stakeholders at all levels.
Identify and develop new use cases to expand value of the platform.
Tines is the intelligent workflow company that powers some of the world's most important workflows. They are driven by values of Simplicity, Speed, and Soundness and foster a culture of curiosity, growth, and integrity.
Design and build autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.
ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.
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.
Develop, configure, deploy, and optimize AI agents using Cresta's AI platform and tools.
Build AI agent integrations with external systems such as APIs, databases, and CRMs to ensure seamless workflow integration.
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI agent solutions.
Cresta builds a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency for customer experience channels. Born from Stanford AI Lab, the company has raised over $270 million from top investors and is led by AI industry veterans.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
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.
Translate AI investment and operational decision needs into a phased technical roadmap.
Connect governed source data to enterprise platforms and build analytics-ready fact models.
Lead a matrixed team to deliver trusted reporting products with automated quality controls.
General Dynamics Mission Systems engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry and offer a flexible work environment where contributions are recognized and rewarded.
Lead client-facing engineering and solutioning from pre-sales through early delivery for enterprise AI platforms.
Architect and implement AI stacks, agentic solutions, and cloud-native platforms using Python, GenAI, and LLMs.
Drive AIOps, observability, and mission-critical platform transformation programs for regulated industries.
Global technology consulting and digital solutions company that enables enterprises to reimagine operations and drive measurable business impact. Its Enterprise AI business unit focuses on scaled, production-grade AI adoption and agentic platforms.
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 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.
You will own technical delivery across federal deployments, from first prototype to stable production.
You will embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models.
You will deploy and operate models in self-hosted, air-gapped, and edge environments, guiding stakeholders on operational value.
Deepgram is a leading Voice AI platform providing real-time APIs for speech-to-text, text-to-speech, and voice agents. With 200,000+ developers and 1,300+ organizations, Deepgram operates with an AI-first mindset and a fast-paced, innovative culture.
Build and deploy AI workflows and skills using AIVA
Integrate AI solutions with APIs, databases and enterprise systems
Rapidly build, test, demonstrate and refine solutions with clients
Williams Lea is the leading global provider of tech-enabled business and marketing services helping clients manage and transform processes. The company serves clients in 20 countries across four continents and has 15,000 employees worldwide.
Own the evaluation framework for AI-assisted systems, building labeled ground truth datasets and designing statistically sound audit and sampling methodologies.
Measure model performance across releases, run drift and override reviews, and produce evidence packages supporting deployment decisions.
Work closely with data scientists and engineers to validate scoring and generative AI capabilities while maintaining independence from build roles.
DEFCON AI leverages artificial intelligence, mathematical optimization, and data analytics to help organizations optimize complex systems and manage disruptions. The company offers a fully remote, results-based environment with unlimited PTO, comprehensive benefits, and a focus on empowering employees to work independently.
Take ownership of technically complex, mission-critical areas, defining technical strategy for new products and platform capabilities.
Design and ship full-stack features end to end, working across backend, frontend, and mobile to deliver AI-powered products.
Partner with product, design, and customer-facing teams to translate real-world problems into measurable outcomes and mentor fellow engineers.
Samsara is the pioneer of the Connected Operations Cloud, helping organizations harness IoT data to improve safety, efficiency, and sustainability of physical operations. They are a public company with ~$2B ARR, growing 30%+ year over year, and foster a culture of ownership, customer focus, and long-term thinking.