More jobs:
Machine Learning Engineer
Job in
Westminster, Adams County, Colorado, 80031, USA
Listed on 2026-02-16
Listing for:
Trimble
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
** What Makes This Role Great:*
* ** Key Exciting Responsibilities*
* ** Bridge the Gap:
** Collaborate with domain experts to translate ambiguous business needs into crisp, actionable machine learning tasks and technical solutions
** Essential Skills & Experience*
* * Bachelor's degree in Computer Science, Math, Engineering, Statistics, or a related quantitative field with 3-5 years of relevant experience, or a Master's degree with 1-3 years of relevant experience, demonstrating in-depth knowledge and practical application.
* In-depth conceptual and practical knowledge of machine learning and deep learning principles, including model selection, training, and evaluation methodologies.
* Proven track record as a Machine Learning Engineer or similar role, with evidence of production-ready ML work, including shipped projects, open-source contributions, or strong Git Hub portfolios.
* Fluency in Python and deep learning frameworks (PyTorch is a must, Tensor Flow is welcome), along with strong familiarity with Num Py, pandas, and scikit-learn.
* Experience with Linux and bash scripting.
* Solid grounding in data structures, data modeling, and software architecture, with an understanding of how code fits together and how to maintain its tidiness.
* Practical statistical sense, with the ability to run experiments with rigor, understand how to collect data, compare approaches, and avoid biased sampling or flawed metrics.
* Strong algorithmic and problem-solving skills, capable of tackling complex challenges with a structured approach and knowing when to iterate rapidly and deploy effective solutions.
* Experience with large-scale computing frameworks (e.g., Spark, Hadoop) and designing/implementing solutions for distributed systems.
* Contributions to open-source projects or academic publications in ML/AI, showcasing thought leadership.
* Experience with MLOps practices for seamless model deployment, monitoring, and lifecycle management, including tools like Azure Dev Ops, New Relic, and Azure Monitor for AI-driven infrastructure optimization and automated incident management.
* Familiarity with cloud-native ML services (e.g., Azure Cognitive Services, AWS Sage Maker) and their integration into broader architectures.
* Adaptable and curious mindset, eager to dig into new techniques or tools where appropriate and iterate rapidly.
* Experience with generative AI models (e.g., LLMs, diffusion models) and their application in real-world scenarios, including conversational AI and agentic platforms (e.g., Semantic Kernel).
* Familiarity with computer vision techniques for image/video analysis (e.g., drawing title block extraction, symbol classification).You’ll work on
** projects that truly matter**:
Our purpose-driven culture means you’ll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide
You will work with a
** collaborative, supportive team
** that shares your purpose and fosters a genuine sense of belonging
**** Compensation:
**** Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, or federal law.
Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability,…
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