Job Title
Machine Learning Engineer
Salary
$90,000 - $110,000
Job Classification
Salaried
Location
Cheyenne, WY 82001 USFort Collins, CO 80527 USLaramie, WY 82072 US (Primary)US
Job Type
Regular
of Hires Needed
1
Application Deadline
Job Description
Western 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.
The 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.
Example projects include:
Species classification and individual re-identification of wildlife from camera trap images
Habitat and vegetation classification from drone footage
Animal tracking and behavior analysis from video collar footage
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The 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.
Location is flexible, although a location in the Fort Collins, CO, Laramie, WY, or Cheyenne, WY office is preferred
Job Description
We 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.
Key Responsibilities:
Machine Learning Systems & Engineering
Design and implement end-to-end ML pipelines, including data ingestion, preprocessing, model inference, and results delivery
Develop reusable software tools and workflows that support internal teams and client-facing deliverables
Build systems that integrate model predictions into downstream analysis, reporting, or visualization pipelines
Deployment & Productionization
Deploy machine learning models across diverse environments, including cloud, on-premise, and edge/field systems
Optimize models and pipelines for performance, reliability, and resource constraints (e.g., memory, compute, bandwidth)
Ensure systems are maintainable and reproducible, including versioning of data, models, and code
Data & Model Development
Conduct data preprocessing, QA/QC, and dataset management for ML workflows
Develop and evaluate computer vision models, with attention to real-world challenges such as noisy labels, class imbalance, and domain shift
Iterate on model and pipeline performance based on testing and deployment feedback
Collaboration & Communication
Collaborate with data scientists, engineers, and domain experts (e.g., ecologists, remote sensing specialists) to design effective solutions
Communicate technical concepts, system limitations, and results to both technical and non-technical stakeholders
Contribute to technical reports, project proposals, and client deliverables
Operational Ownership
Support debugging and monitoring of deployed systems, including identifying issues in data, models, or infrastructure
Contribute to team best practices around code quality, testing, and reproducibility
This is a general description of the functions for this position and is not inclusive of the duties which may be associated with this position.
Job Requirements
Qualifications
:
Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field, or Bachelor's with relevant work experience.
Proficient in Python and PyTorch, experience in C# preferred
Experience deploying ML models in resource-constrained or field environments (e.g., edge devices, drones, embedded systems)
Experience building user-facing tools, APIs, or automated workflows for ML systems
Experience with remote sensing, drone imagery, or ecological/biological datasets
Familiarity with cloud platforms, distributed processing, or large-scale data pipelines, especially Azure ML
Experience working on interdisciplinary teams involving scientists or domain experts
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Excellent interpersonal and human relations skills.
After 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.
WEST 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.
Education
Bachelor's Degree
Salary Grade
Exemption Type
Exempt
WEST is proud to provide 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.
Apply at: https://ipc.us/t/1DE79D0681E04E66.
