Trimble Inc. · 17 hours ago
Machine Learning Engineer
US - OR, Lake Oswego
Full-time
Onsite
Mid, Senior Level
$122K/yr - $168K/yr
3+ years expTrimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. They are seeking a proactive Machine Learning Engineer to take ownership of the full ML lifecycle, deploying deep learning models at scale and mentoring emerging talent.
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Responsibilities
Spearhead the full journey of deep learning models from initial conceptualization to large-scale production deployment
Elevate our technical standards by implementing robust containerization, versioning, and monitoring practices to ensure model reliability
Collaborate with domain experts to translate ambiguous business needs into crisp, actionable machine learning tasks and technical solutions
Research and adapt breakthrough methods, such as foundation models and self-supervised learning, into our production environment
Serve as a pivotal technical resource, providing informal guidance and sharing best practices to foster the growth of emerging talent
Qualification
Required
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 GitHub portfolios
Fluency in Python and deep learning frameworks (PyTorch is a must, TensorFlow is welcome), along with strong familiarity with NumPy, 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
Preferred
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 DevOps, 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 SageMaker) 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)
Benefits
Medical
Dental
Vision
Life
Disability
Time off plans
Retirement plans
Paid Parental Leave
Employee Stock Purchase Plan
Company
Trimble Inc.
Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done.
10001+ employees
H1B Sponsorship
Trimble Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (62)
2024 (61)
2023 (43)
2022 (52)
2021 (51)
2020 (34)
Funding
Current Stage
Public CompanyTotal Funding
$1.02BKey Investors
Bank of America
2022-12-30Post Ipo Debt· $1B
2002-01-15Post Ipo Equity· $19.2M
1990-07-27IPO
Leadership Team
Robert Painter
Chief Executive Officer
Phillip Sawarynski
Chief Financial Officer
Recent News
2026-02-04
2026-01-22
Company data provided by crunchbase