Software Engineer - Machine Learning

Job Title: Software Engineer - Machine Learning

Job Location: Lake Oswego, OR

Our Department: Trimble AECO - Viewpoint

About the Role

Are you ready to independently design and implement impactful machine learning solutions, driving product innovation and mentoring emerging talent?

This role is for an experienced professional ready to take ownership of machine learning projects, from conceptualization to production. In this role you will apply in-depth knowledge to solve complex problems, improve existing systems, and contribute significantly to product development. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to act as a valuable resource for less experienced team members.

What You Will Do

• Independently identify, train, and refine deep learning models to solve real-world problems at scale, overseeing the full lifecycle from conception to deployment. Curate and maintain effective datasets, ensuring robust data coverage and quality for diverse industry use cases, directly impacting model performance.

• Work closely with teams who bring domain expertise, translating ambiguous needs into clear and actionable ML tasks.

• Contribute significantly to MLOps best practices, including containerization, model versioning, and robust monitoring, ensuring you know how to look for clues when models break.

• Apply advanced machine learning and statistical modeling techniques (e.g., decision trees, logistic regression, Bayesian analysis) to solve complex problems and significantly improve product/system performance and data accuracy.

• Conduct thorough testing, debugging, and optimization of ML models and associated code, ensuring high efficiency, scalability, and reliability in production environments.

• Act as a technical resource and provide informal guidance to less experienced colleagues, sharing best practices, fostering their development, and contributing to team knowledge.

• Collaborate effectively with product and service teams to translate complex business requirements into robust technical solutions and actionable insights, driving innovation.

What Skills & Experience You Should Bring

• Bachelor's degree in Computer Science, Math, Engineering, Statistics, or a related quantitative field

• 3+ years of relevant experience

• 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 .NET/C# coding

• Experience with DataBricks

• Solid grounding in data structures, data modeling, and software architecture, with an understanding of how code fits together and how to maintain its tidiness.

• 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.

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

Pay Rate Type

Bonus Eligible?

Commission Eligible?

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 https://investor.trimble.com, 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.

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