{"schemaVersion":"jobsearcher.job.v1","id":"2afbd63e610b5e773a5208e8","url":"https://jobsearcher.com/jobs/2afbd63e610b5e773a5208e8","canonicalUrl":"https://jobsearcher.com/jobs/2afbd63e610b5e773a5208e8","title":"Machine Learning Engineer","description":"Job Title\nMachine Learning Engineer\nSalary\n$90,000 - $110,000\nJob Classification\nSalaried\nLocation\nCheyenne, WY 82001 US\nFort Collins, CO 80527 US\nLaramie, WY 82072 US (Primary)\nUS\n\nJob Type\nRegular\n# of Hires Needed\n1\nApplication Deadline\nJob Description\nWestern EcoSystems Technology, Inc. (WEST) is a dynamic medium-size consulting firm with offices across the United States and Canada. We are looking for a full-time Machine Learning Engineer to join our team. WEST has a permanent core of professionals with broad experience in applied ecological studies, the sophisticated analysis of natural resource data, and impact assessment and permitting. Since its founding in 1990, the WEST team has shaped our work through our core values and key principles that our work matters to our clients, communities, and the environment. Join WEST and discover a company of passionate, committed, and highly motivated individuals.\n\nThe Machine Learning team specializes in wildlife monitoring solutions using cutting-edge technology. We develop end-to-end systems for processing and analyzing ecological data, including camera trap imagery, drone footage, and audio data. We focus on delivering practical, deployable solutions that support real-world conservation and monitoring efforts.\n\nExample projects include:\nSpecies classification and individual re-identification of wildlife from camera trap images\nHabitat and vegetation classification from drone footage\nAnimal tracking and behavior analysis from video collar footage\n\nThe minimum base salary for this position is $90,000 and the maximum is $110,000, plus additional annual profit-sharing bonus potential. Salary may vary based on education, knowledge, and experience.\n\nLocation is flexible, although a location in the Fort Collins, CO, Laramie, WY, or Cheyenne, WY office is preferred\n\nJob Description\n\nWe are seeking a talented and experienced Machine Learning Engineer to join our team. In this role, you will collaborate with Machine Learning Data Scientists to train machine learning models and create robust, scalable pipelines and software tools that can be used by internal teams and external clients. Projects often involve deploying models across a variety of environments, including cloud, on-premise, and field-based systems (e.g., drones or edge devices). This role is ideal for someone who enjoys building complete solutions, working with real-world data, and solving engineering challenges in applied computer vision.\n\nKey Responsibilities:\n\nMachine Learning Systems & Engineering\nDesign and implement end-to-end ML pipelines, including data ingestion, preprocessing, model inference, and results delivery\nDevelop reusable software tools and workflows that support internal teams and client-facing deliverables\nBuild systems that integrate model predictions into downstream analysis, reporting, or visualization pipelines\n\nDeployment & Productionization\nDeploy machine learning models across diverse environments, including cloud, on-premise, and edge/field systems\nOptimize models and pipelines for performance, reliability, and resource constraints (e.g., memory, compute, bandwidth)\nEnsure systems are maintainable and reproducible, including versioning of data, models, and code\n\nData & Model Development\nConduct data preprocessing, QA/QC, and dataset management for ML workflows\nDevelop and evaluate computer vision models, with attention to real-world challenges such as noisy labels, class imbalance, and domain shift\nIterate on model and pipeline performance based on testing and deployment feedback\n\nCollaboration & Communication\nCollaborate with data scientists, engineers, and domain experts (e.g., ecologists, remote sensing specialists) to design effective solutions\nCommunicate technical concepts, system limitations, and results to both technical and non-technical stakeholders\nContribute to technical reports, project proposals, and client deliverables\n\nOperational Ownership\nSupport debugging and monitoring of deployed systems, including identifying issues in data, models, or infrastructure\nContribute to team best practices around code quality, testing, and reproducibility\n\nThis is a general description of the functions for this position and is not inclusive of the duties which may be associated with this position.\nJob Requirements\nQualifications:\nMaster's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field, or Bachelor’s with relevant work experience.\nProficient in Python and PyTorch, experience in C# preferred\nExperience deploying ML models in resource-constrained or field environments (e.g., edge devices, drones, embedded systems)\nExperience building user-facing tools, APIs, or automated workflows for ML systems\nExperience with remote sensing, drone imagery, or ecological/biological datasets\nFamiliarity with cloud platforms, distributed processing, or large-scale data pipelines, especially Azure ML\nExperience working on interdisciplinary teams involving scientists or domain experts\nExcellent problem-solving skills and attention to detail.\nStrong communication and collaboration skills.\nExcellent interpersonal and human relations skills.\n\nAfter an offer of employment is made, the candidate must successfully pass a pre-employment background check, drug screening, and a DMV records check that meets WEST’s minimum criteria to operate a motor vehicle on behalf of the company. A valid driver’s license will be required.\n\nWEST provides equal employment opportunities to all individuals regardless of their race, color, religion, gender identity or expression, age, sex, sexual orientation, national origin, disability status, genetics, and any protected veteran status, and any other characteristic protected by federal, state or local law. Further, WEST takes affirmative action to ensure that all individuals are treated fairly, and without discrimination, for recruitment, selection, advancement and every other term and privilege associated with employment.\nEducation\nBachelor's Degree\nSalary Grade\nExemption Type\nExempt","company":"West","rawCompany":"west","city":"Cheyenne","state":"WY","isRemote":false,"isActive":false,"createdAt":"2026-08-04T20:05:35.956Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Job Title\nMachine Learning Engineer\nSalary\n$90,000 - $110,000\nJob Classification\nSalaried\nLocation\nCheyenne, WY 82001 US\nFort Collins, CO 80527 US\nLaramie, WY 82072 US (Primary)\nUS\n\nJob Type\nRegular\n# of Hires Needed\n1\nApplication Deadline\nJob Description\nWestern EcoSystems Technology, Inc. (WEST) is a dynamic medium-size consulting firm with offices across the United States and Canada. We are looking for a full-time Machine Learning Engineer to join our team. WEST has a permanent core of professionals with broad experience in applied ecological studies, the sophisticated analysis of natural resource data, and impact assessment and permitting. Since its founding in 1990, the WEST team has shaped our work through our core values and key principles that our work matters to our clients, communities, and the environment. Join WEST and discover a company of passionate, committed, and highly motivated individuals.\n\nThe Machine Learning team specializes in wildlife monitoring solutions using cutting-edge technology. We develop end-to-end systems for processing and analyzing ecological data, including camera trap imagery, drone footage, and audio data. We focus on delivering practical, deployable solutions that support real-world conservation and monitoring efforts.\n\nExample projects include:\nSpecies classification and individual re-identification of wildlife from camera trap images\nHabitat and vegetation classification from drone footage\nAnimal tracking and behavior analysis from video collar footage\n\nThe minimum base salary for this position is $90,000 and the maximum is $110,000, plus additional annual profit-sharing bonus potential. Salary may vary based on education, knowledge, and experience.\n\nLocation is flexible, although a location in the Fort Collins, CO, Laramie, WY, or Cheyenne, WY office is preferred\n\nJob Description\n\nWe are seeking a talented and experienced Machine Learning Engineer to join our team. In this role, you will collaborate with Machine Learning Data Scientists to train machine learning models and create robust, scalable pipelines and software tools that can be used by internal teams and external clients. Projects often involve deploying models across a variety of environments, including cloud, on-premise, and field-based systems (e.g., drones or edge devices). This role is ideal for someone who enjoys building complete solutions, working with real-world data, and solving engineering challenges in applied computer vision.\n\nKey Responsibilities:\n\nMachine Learning Systems & Engineering\nDesign and implement end-to-end ML pipelines, including data ingestion, preprocessing, model inference, and results delivery\nDevelop reusable software tools and workflows that support internal teams and client-facing deliverables\nBuild systems that integrate model predictions into downstream analysis, reporting, or visualization pipelines\n\nDeployment & Productionization\nDeploy machine learning models across diverse environments, including cloud, on-premise, and edge/field systems\nOptimize models and pipelines for performance, reliability, and resource constraints (e.g., memory, compute, bandwidth)\nEnsure systems are maintainable and reproducible, including versioning of data, models, and code\n\nData & Model Development\nConduct data preprocessing, QA/QC, and dataset management for ML workflows\nDevelop and evaluate computer vision models, with attention to real-world challenges such as noisy labels, class imbalance, and domain shift\nIterate on model and pipeline performance based on testing and deployment feedback\n\nCollaboration & Communication\nCollaborate with data scientists, engineers, and domain experts (e.g., ecologists, remote sensing specialists) to design effective solutions\nCommunicate technical concepts, system limitations, and results to both technical and non-technical stakeholders\nContribute to technical reports, project proposals, and client deliverables\n\nOperational Ownership\nSupport debugging and monitoring of deployed systems, including identifying issues in data, models, or infrastructure\nContribute to team best practices around code quality, testing, and reproducibility\n\nThis is a general description of the functions for this position and is not inclusive of the duties which may be associated with this position.\nJob Requirements\nQualifications:\nMaster's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field, or Bachelor’s with relevant work experience.\nProficient in Python and PyTorch, experience in C# preferred\nExperience deploying ML models in resource-constrained or field environments (e.g., edge devices, drones, embedded systems)\nExperience building user-facing tools, APIs, or automated workflows for ML systems\nExperience with remote sensing, drone imagery, or ecological/biological datasets\nFamiliarity with cloud platforms, distributed processing, or large-scale data pipelines, especially Azure ML\nExperience working on interdisciplinary teams involving scientists or domain experts\nExcellent problem-solving skills and attention to detail.\nStrong communication and collaboration skills.\nExcellent interpersonal and human relations skills.\n\nAfter an offer of employment is made, the candidate must successfully pass a pre-employment background check, drug screening, and a DMV records check that meets WEST’s minimum criteria to operate a motor vehicle on behalf of the company. A valid driver’s license will be required.\n\nWEST provides equal employment opportunities to all individuals regardless of their race, color, religion, gender identity or expression, age, sex, sexual orientation, national origin, disability status, genetics, and any protected veteran status, and any other characteristic protected by federal, state or local law. Further, WEST takes affirmative action to ensure that all individuals are treated fairly, and without discrimination, for recruitment, selection, advancement and every other term and privilege associated with employment.\nEducation\nBachelor's Degree\nSalary Grade\nExemption Type\nExempt","datePosted":"2026-08-04T20:05:35.956Z","dateModified":"2026-08-04T20:05:35.956Z","hiringOrganization":{"@type":"Organization","name":"West","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cheyenne","addressRegion":"WY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2afbd63e610b5e773a5208e8"},"url":"https://jobsearcher.com/jobs/2afbd63e610b5e773a5208e8"}}