CV/ML Engineer
Location
United States
Posted
54 days ago
Salary
$140K - $190K / year
Seniority
Mid Level
No structured requirement data.
Job Description
CV/ML Engineer
Coulson Aviation
Role Description This is a remote position with occasional travel. You will own all machine learning and computer vision work on the team. Your primary focus will be applying CV and ML to sensor data from operational wildfire aircraft to turn raw imagery into accurate, actionable outputs for the agencies on the ground. The work will grow in scope as the program matures and the data starts flowing. What You'll Own - Design and train CV/ML models to extract meaningful fire intelligence from sensor data - Establish model validation workflows using ground-truth perimeter data from host agencies - Iterate on model accuracy by fire type, terrain, and atmospheric condition - Shape the roadmap for how ML can extend beyond detection into predictive and operational analytics - Work with internal Coulson IT on model deployment and inference infrastructure - Contribute to the strategy for how real-time video processing can extend the system’s operational value Qualifications - 3+ years applied ML or CV engineering in a production environment - Strong experience with image segmentation, object detection, or scene classification (PyTorch, TensorFlow, or equivalent) - Comfortable taking a model from training through to deployed inference - Experience working with noisy, real-world sensor data rather than clean benchmark datasets - Ability to define and track model performance metrics independently Nice to Have - Experience with thermal or infrared imagery — satellite, aerial, or ground-based - Background in remote sensing, geospatial ML, or environmental monitoring - Familiarity with real-time or near-real-time video inference pipelines - Understanding of fire behavior, wildland fire operations, or related domains - Experience with edge or embedded inference (onboard processing) - Familiarity with photogrammetry or structure-from-motion pipelines - Preference for west coast location. Extra points for PNW A Note on the Role This role is intentionally broad for a small team. You will be the only ML engineer for a significant period. The ideal candidate is someone who has built models for real-world problems and is energized by working close to the operational use case rather than at arm's length from it.
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
• The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. • The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. • Model Development and Optimization: Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. • Data Preparation and Feature Engineering: Clean, preprocess, and transform structured and unstructured datasets for training and inference. • Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. • Work with business stakeholders to translate real-world problems into AI/ML use cases. • Stay updated with the latest research, frameworks, and tools in machine learning and AI. • Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. • Maintain comprehensive documentation for models, experiments, and pipelines.
• The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. • The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. • Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. • Select appropriate algorithms and techniques based on business needs and data characteristics. • Clean, preprocess, and transform structured and unstructured datasets for training and inference. • Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. • Work with business stakeholders to translate real-world problems into AI/ML use cases. • Stay updated with the latest research, frameworks, and tools in machine learning and AI. • Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. • Maintain comprehensive documentation for models, experiments, and pipelines.
• The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. • Collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. • Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. • Clean, preprocess, and transform structured and unstructured datasets for training and inference. • Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. • Work with business stakeholders to translate real-world problems into AI/ML use cases. • Stay updated with the latest research, frameworks, and tools in machine learning and AI. • Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. • Maintain comprehensive documentation for models, experiments, and pipelines.
Python Engineer (AI / Machine Learning Focus)
Oowlish TechnologyOowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team. As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions.
Join Our Team Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team. As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact. We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence. About the Role We are building a pipeline of Python Engineers with strong AI and Machine Learning experience to support current and upcoming projects across multiple clients and industries. This is not a traditional backend role. We are looking for engineers who are actively working with AI-driven solutions, building real-world applications using modern tools and frameworks. You will be part of a talent pool considered for high-impact opportunities involving AI integrations, data-driven systems, and intelligent automation. We are especially interested in engineers who combine strong technical fundamentals with the ability to apply AI in practical, scalable ways. Key Responsibilities: - Design and develop systems using Python for AI/ML-driven applications - Build and integrate AI-powered features (LLMs, automation, data pipelines) - Work with structured and unstructured data to generate insights and functionality - Collaborate with product and engineering teams to deliver scalable solutions - Optimize models, workflows, and system performance - Stay up to date with evolving AI tools and frameworks Must Have: - 5+ years of experience working with Python in production environments - Hands-on experience with AI/ML frameworks or tools - Experience working with data processing, pipelines, or model integration - Experience integrating or working with LLMs (OpenAI, Anthropic, or similar) - Strong problem-solving skills and ability to work independently - Experience using AI tools in development workflows Nice to Have: - Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks - Experience with RAG pipelines, agents, or automation workflows - Experience with cloud environments (AWS, GCP, Azure) - Experience working with APIs and backend systems - Experience in startup or fast-paced environments Benefits & Perks: Home office; Competitive compensation based on experience; Career plans to allow for extensive growth in the company; International Projects; Oowlish English Program (Technical and Conversational); Oowlish Fitness with Total Pass; Games and Competitions; You can also apply here: Website: https://www.oowlish.com/work-with-us/ LinkedIn: https://www.linkedin.com/company/oowlish/jobs/ Instagram: https://www.instagram.com/oowlishtechnology/
