Software Engineer - Machine Learning Lake Oswego

Position: Software Engineer - Machine Learning Lake Oswego, OR, US
## Software Engineer - Machine Learning

US - OR, Lake Oswego Job Family Software Engineering
*
* Job Title:

** Software Engineer - Machine Learning
*
* Job Location:

** Lake Oswego, OR
** Our Department:
** Trimble AECO - Viewpoint
** About the Role
** 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 Git Hub portfolios.
* Fluency in .NET/C# coding
* Experience with Data Bricks
* 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
**** Salary Yes 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:

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