Job Description
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective.
You will report to our Director, Analytics Engineering & Data Governance located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.
You Will:
- Build and deploy machine learning (ML) models and data pipelines, from training to inference, in production using MLOps best practices.
- Monitor and maintain production ML models by identifying and correcting for model drift/staleness, incorporating user feedback loops, and retraining models as necessary.
- Build, finetune, or use pre-trained LLMs, deep learning models or traditional machine learning models.
- Scale AI/ML Services using model optimization and accelerators.
- Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom built models.
- Provide architectural direction and leadership for a team consisting of data, ML, and software engineers.
- Distill complex ML concepts into easy to follow technical documentation.
- Partner effectively with software engineers and product managers to integrate the machine learning solution into the product.
You Have:
- 5+ years of experience with creating, deploying and scaling machine learning solutions in a cloud environment (eg. AWS, GCP, Azure) and ability to use tools such as SageMaker, Glue, Lambda, Docker etc. to create ML models and data pipelines.
- 7+ years of programming experience in languages used in AI/ML (eg python, scala etc)
- 4+ years of experience in developing deep learning and traditional ML models using common frameworks like pytorch, tensorflow, huggingface, scikit-learn etc.
- Strong applied data science skills - ability to recognize data patterns, understand how and when to use various machine learning approaches (eg. supervised/unsupervised learning, deep learning etc.), and evaluate the performance of ML algorithms.
- Proven ability to remain up-to-date with the latest advancements in Generative AI approaches (eg. OpenAI, LangChain, Stable Diffusion APIs).
- Experience developing, documenting, and supporting REST APIs
- A degree in Computer Science, Engineering, or a related field or equivalent practical experience.
- Legally eligible to work in the U.S. on an ongoing basis
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
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