The ad says“Strong ability to evaluate AI systems rigorously, including designing benchmarks, analyzing failure modes, and improving model performance through data, prompts, architecture, or workflow design”
The ad says“Strong Python coding skills, with the ability to build reliable systems that interact with various models, APIs, databases, customer infrastructure, and production workflows”
Values
The ad says“Experience working with modern visual recognition models, including object detection, segmentation, tracking, action recognition, anomaly detection, and/or vision-language models for multi-modal understanding, reasoning, and retrieval”
The ad says“Experience working with modern visual recognition models, including object detection, segmentation, tracking, action recognition, anomaly detection, and/or vision-language models for multi-modal understanding, reasoning, and retrieval”
The ad says“Experience with popular machine learning and computer vision frameworks and tools, such as PyTorch, TensorFlow, JAX, Hugging Face, Numpy, OpenCV, or similar technologies”
The ad says“Experience with popular machine learning and computer vision frameworks and tools, such as PyTorch, TensorFlow, JAX, Hugging Face, Numpy, OpenCV, or similar technologies”
The ad says“Experience with popular machine learning and computer vision frameworks and tools, such as PyTorch, TensorFlow, JAX, Hugging Face, Numpy, OpenCV, or similar technologies”
The ad says“Experience working with modern visual recognition models, including object detection, segmentation, tracking, action recognition, anomaly detection, and/or vision-language models for multi-modal understanding, reasoning, and retrieval”
The ad says“Experience with popular machine learning and computer vision frameworks and tools, such as PyTorch, TensorFlow, JAX, Hugging Face, Numpy, OpenCV, or similar technologies”
The ad says“Experience with popular machine learning and computer vision frameworks and tools, such as PyTorch, TensorFlow, JAX, Hugging Face, Numpy, OpenCV, or similar technologies”
The ad says“Experience working with modern visual recognition models, including object detection, segmentation, tracking, action recognition, anomaly detection, and/or vision-language models for multi-modal understanding, reasoning, and retrieval”
The ad says“Experience with popular machine learning and computer vision frameworks and tools, such as PyTorch, TensorFlow, JAX, Hugging Face, Numpy, OpenCV, or similar technologies”
The ad says“Experience working with modern visual recognition models, including object detection, segmentation, tracking, action recognition, anomaly detection, and/or vision-language models for multi-modal understanding, reasoning, and retrieval”
The ad says“Experience working with modern visual recognition models, including object detection, segmentation, tracking, action recognition, anomaly detection, and/or vision-language models for multi-modal understanding, reasoning, and retrieval”
We’re looking for a Principal Software Engineer to join the Elasticsearch - Search team
This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene
This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs
Our company is distributed by intention
We hire the best engineers we can find wherever they are, whoever they are
We collaborate across continents every day over email, GitHub, Zoom, and Slack
At our best, we write fast, scalable and intuitive software
We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements
Train and deploy state-of-the-art vision-centric and vision-language models across a broad range of industrial domains, including manufacturing, automotive, logistics, aerospace, data center infrastructure, security, and more
Deploy end-to-end CV systems across a range of environments (cloud, edge, hybrid)
Define benchmarks and perform quantitative and qualitative evaluation of the AI systems, including accuracy, reliability, latency, throughput, and/or robustness, and then iterate to meet production requirements
Design and develop industrial-grade imaging systems for high-quality, consistent data collection
Integrate Matroid into customer workflows and systems, such as manufacturing execution systems, PLCs, SCADA systems, quality management systems, safety alert systems, and video management systems, with common industrial protocols
Act as the technical expert, advising on all matters from technical scoping of engagements to model adaptation, deployment architecture, evaluation, integration, and customer enablement
Empower customers with AI by designing and leading product training sessions, technical workshops, and deployment playbooks
You will be a computer vision and multi-modal AI guru, intelligently translating real-world business problems into performant computer vision and/or vision language solutions
You will be a SOTA model adapter, selecting, fine-tuning, prompting, evaluating, and orchestrating the right models for the task at hand
You will be a product expert, deeply understanding Matroid’s platform and applying the right features, models, workflows, and integrations to solve customer problems
You will be a customer advocate, understanding customers’ operational requirements and relaying feedback to the broader Matroid team to drive customer-centric development
You will be an AI orchestrator, integrating robust and efficient deep learning systems with third-party systems to deliver real-world impact
You will operate in a collaborative yet highly autonomous environment that isn’t bogged down by unnecessary meetings or project management overhead
You will learn a lot along the way, diving into new technologies and the world of computer vision and multi-modal AI, both on your own and during frequent company tech talks
Benefits
Free lunch, snacks, drinks, and caffeine every day
Gym membership with yoga and pilates classes next door
Budget for whatever hardware you want
Competitive salary and equity
Flexible hours
Dental and vision insurance with 100% paid premiums
Work from home opportunities
Health insurance
Preferred experience
Strong ability to evaluate AI systems rigorously, including designing benchmarks, analyzing failure modes, and improving model performance through data, prompts, architecture, or workflow design
Bachelor’s degree in computer science, computer engineering, electrical engineering, machine learning, artificial intelligence, or another technical field
Experience with popular machine learning and computer vision frameworks and tools, such as PyTorch, TensorFlow, JAX, Hugging Face, Numpy, OpenCV, or similar technologies
Adept at communicating with both technical and commercial audiences
Strong Python coding skills, with the ability to build reliable systems that interact with various models, APIs, databases, customer infrastructure, and production workflows
Solid oral, written, presentation, collaboration, and interpersonal communication skills
Experience working with modern visual recognition models, including object detection, segmentation, tracking, action recognition, anomaly detection, and/or vision-language models for multi-modal understanding, reasoning, and retrieval
Graduate degree with a concentration in computer vision, artificial intelligence, machine learning, natural language processing, robotics, or related fields
Previous work experience in forward-deployed engineering, field engineering, professional services, consulting, solutions engineering, or another customer-facing technical role
Experience deploying AI systems in industrial, manufacturing, aerospace, logistics, security, or other operational environments
Experience with complex computer vision and vision language tasks, like spatial-temporal reasoning, open-world visual recognition, 3D visual understanding/reconstruction, or agentic workflows
