Machine Learning Engineer

Shape the Future of AI: Machine Learning Engineer

Are you ready to take ownership of the full ML lifecycle and turn complex data into world-changing products? We are looking for a proactive Machine Learning Engineer to bridge the gap between research and production. If you are passionate about deploying deep learning models at scale and mentoring the next generation of innovators, your work here will directly transform how global industries operate.

About UsTrimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation.

The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations.

What Makes This Role Great:In this role, you’ll be the technical architect of our machine learning future, moving beyond theory to deploy deep learning models that solve real-world industrial challenges at scale. You will have the unique opportunity to act as a visionary pragmatist—independently identifying and refining models that directly enhance the accuracy and reliability of our global product suite.

Key Exciting Responsibilities

• Mastermind the ML Lifecycle: Spearhead the full journey of deep learning models from initial conceptualization to large-scale production deployment.

• Drive MLOps Excellence: Elevate our technical standards by implementing robust containerization, versioning, and monitoring practices to ensure model reliability.

• Bridge the Gap: Collaborate with domain experts to translate ambiguous business needs into crisp, actionable machine learning tasks and technical solutions.

• Innovate at the Frontier: Research and adapt breakthrough methods, such as foundation models and self-supervised learning, into our production environment.

• Empower the Team: Serve as a pivotal technical resource, providing informal guidance and sharing best practices to foster the growth of emerging talent.

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 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.

Bonus Points For:​

• Experience with large-scale computing frameworks (, 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 (, 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 (, LLMs, diffusion models) and their application in real-world scenarios, including conversational AI and agentic platforms (, Semantic Kernel).

• Familiarity with computer vision techniques for image/video analysis (, drawing title block extraction, symbol classification).

Why You’ll Love Working With UsAt Trimble, we’re not just a company that “does good”—we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world’s most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.

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. Trimble thrives on individuals who take initiative and embrace ownership; you’ll find an entrepreneurial spirit where success is often “self-authored”.

Machine Learning Engineer, Senior ML Engineer, Deep Learning, PyTorch, MLOps, Python, AECO, Digital Construction, AI Research, Data Science

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.

Hiring Range

$122,–$168,

Pay Rate Type

Salary

Bonus Eligible?

Yes

Commission Eligible?

No

Benefits:Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date.

How to Apply: Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.

Application Deadline: Applications could be accepted until at least 30 days from the posting date.

At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values—Belong, Innovate, and Grow—we embrace and celebrate differences, knowing they make us stronger and more innovative. We are proud to be an equal opportunity employer, welcoming individuals of all backgrounds and advancing opportunities while embracing race, color, gender identity, sexual orientation, religion, disability, veteran status, or any other protected and diverse characteristic. We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more, please see Trimble's Code of Business Conduct and Ethics at, under “Corporate Governance.”

Our mission to transform the way the world works starts with transforming how we work together. By actively listening, asking questions, and taking intentional actions, we cultivate a culture that provides equitable opportunities for everyone to contribute and grow.

Trimble’s Privacy Policy

If you need assistance or would like to request an accommodation in connection with the application process, please contact om.