Develop and evaluate deep learning models for feature detection, matching, depth estimation, and visual localization.
Own data preparation, training workflows, and evaluation of learned components for vision-based navigation.
Partner with state estimation and deployment engineers to integrate and optimize models for onboard systems.
Shield AI is a venture-backed defense-tech company developing intelligent systems to protect service members and civilians, with products like Hivemind autonomy software and V-BAT aircraft. It has offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, actively supporting operations worldwide.
Design, build, and ship custom internal AI tooling, agents, and workflows for autonomy and research.
Integrate and extend third-party AI tools and evaluate new AI models with structured pilots.
Partner with cross-functional teams to prototype solutions and drive adoption of AI tools.
Waabi is a leader in Physical AI, founded by AI visionary Raquel Urtasun. The company is growing quickly with offices in Toronto, San Francisco, Dallas, and Pittsburgh, and seeks diverse, innovative candidates.
Develop and optimize 3D computer vision components, including triangulation, bundle adjustment, and camera calibration, and integrate them into the GenWeb3D stack.
Design and implement 3D point and sparse patch tracking systems from video data.
Integrate deep learning models into classical vision workflows, including lightweight neural modules that accelerate 3D inference.
GenWeb is building the next generation of 3D perception systems. As a company, we focus on developing high-performance computer vision pipelines that bridge classical geometry with modern machine learning, aiming to make real-world 3D understanding faster and more accurate. Our team is engineering-focused, valuing robustness and production-quality deployment.
Work directly with leading AI labs and enterprises to define research goals and technical requirements.
Build data intelligence systems and implement ML pipelines for data curation, model training, and evaluation.
Develop LLM applications, including multi-agent systems, RAG workflows, and evaluation harnesses.
Our client is a venture-backed AI company building intelligent systems by combining human expertise with machine learning. With over $40 million in funding and a global expert network, they provide critical infrastructure for AI development.
Develop and deploy cutting-edge AI/ML solutions to enhance the platform and improve student learning experiences.
Design, develop, and optimize LLM-powered agentic systems and APIs for real product use cases.
Collaborate with senior engineers and contribute to evaluation frameworks and MLOps pipelines.
Interview Kickstart specializes in interview preparation and career transitions into high-demand tech fields like AI, ML, and Data Science. Over 17,000 tech professionals have been guided by current and former hiring managers to land coveted positions at companies like Google and Amazon.
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.
Own Merlin's foundation and world-model work, including architecture selection, post-training, and capability roadmap.
Lead and mentor a small team of world-model engineers, setting the technical bar and review culture.
Design model interface to the autonomy stack with structured, schema-constrained plan outputs and build evaluation harnesses.
Merlin is a publicly traded aerospace and defense company building a non-human pilot for full-stack aircraft autonomy. Headquartered in Boston, it is expanding its organization to accelerate the deployment of its autonomy platform.
Design and implement state-of-the-art ML models and training pipelines for robotics.
Develop efficient data/training strategies and evaluation frameworks for rapid experimentation.
Collaborate with engineering to optimize training infrastructure and deployment.
We're revolutionizing real-world automation by making robotic systems accessible to everyone. Our AI-powered platform brings software automation to physical spaces, and we're a small startup team working across the stack to solve customer problems.
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.
Set the technical direction for AI engineering across the team: agent architecture patterns, evaluation methodology, deployment and monitoring strategies
Design the AI platform layer, including shared agent frameworks, tool integrations, and evaluation infrastructure
Work directly with clients on the most complex engagements, identifying new problem domains and ensuring production quality
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries managing nearly $10 trillion in assets, Addepar fosters a culture of ownership, collaboration, and innovation.
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, develop, and deploy AI/ML models including NLP, predictive models, and intelligent automation workflows.
Integrate LLM-powered features using APIs like OpenAI and implement RAG patterns and AI agent workflows.
Collaborate with cross-functional teams to translate requirements into AI use cases and contribute to engineering best practices.
We are a confidential US-based organization dedicated to leveraging AI and technology to drive business transformation. Our team values innovation and collaboration, and we foster a culture that supports employee growth and responsible AI practices.
Design high-performance training platform components including orchestration, observability, and performance tuning.
Deliver end-to-end ML pipelines from dataset curation to training, validation, and deployment.
Drive technical direction across ML Platform, Infrastructure, Autonomy, and Safety teams.
Stack is developing revolutionary AI and advanced autonomous systems for safer, more reliable, and efficient operations, focusing on autonomous trucking. The Stack team brings decades of experience in real-world systems and is committed to a culture of inclusion, entrepreneurship, and innovation.
Build and ship features of AI/ML and LLM-powered systems with guidance from senior engineers.
Implement and maintain AI/ML and AI agent pipelines from data ingestion through model deployment.
Contribute to LLM-powered features such as prompts, evaluations, retrieval, and tool integrations, while documenting experiments clearly.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity. Teams average fifteen-plus years of experience and value ownership, craft, direct feedback, and continuous learning.
Build and ship a project end to end: understand the problem, build a working version, and improve it based on user feedback.
Work with business teams to understand their workflows and translate requirements into actionable solutions.
Use AI-augmented development tools as your default workflow and develop judgment about their effectiveness.
M3 is a global healthcare technology company providing innovative research and technological solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members and is publicly traded on the Tokyo Stock Exchange, ranked in Forbes' Global 2000 list.
Own large problems end to end across the stack, building a multi-agent orchestration SDK and CAD conversion pipeline.
Develop 3D-to-3D search across real customer part libraries and integrate constraint solvers with AI agents.
Address open problems in geometry reasoning and deploy hybrid cloud solutions for manufacturers.
3ive builds an AI co-engineer for physical products that works natively in 3D and learns from engineering decisions. The company is in production with major European manufacturers and has real revenue and customers.
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, implement, and deploy ML/AI models end-to-end, including data pipelines, training workflows, and production optimization.
Collaborate with product, engineering, and data teams to align AI work with business goals and translate technical tradeoffs.
Contribute to AI architecture decisions and raise engineering practices, using AI-forward coding tools like Claude and Cursor.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity to ship production-ready AI in 30 to 45 days. The company values craft, ownership, and direct feedback, with teams averaging fifteen-plus years of experience.
Build production-grade agentic workflows to automate fan issue triage, seller risk monitoring, and marketplace optimization.
Coach non-technical teammates to use AI tools and create their own automations.
Own the full lifecycle of built solutions, from design to production, and scale successes across operations teams.
Gametime makes it easy for people to discover and access live experiences, with platforms supporting over 60,000 events across the US and Canada. They are a mid-sized company focused on reimagining the event ticket industry, with a culture that emphasizes inclusivity and innovation.