Machine Learning Engineer (Remote Eligible)

Machine Learning Engineer (Remote Eligible)

Qualifications

• 3+ years of experience with creating, deploying and scaling machine learning solutions in a cloud environment (e.g., AWS, GCP, Azure) and ability to use tools such as SageMaker, Glue, Lambda, Docker, etc.
• 3+ years of experience in developing deep learning (especially NLP models) and traditional ML models using common frameworks like PyTorch, TensorFlow, Hugging Face, Scikit-learn, etc.
• 4+ years of programming experience in languages used in AI / ML (e.g., Python, Scala, etc.)
• Strong applied data science skills ability to recognize data patterns, understand how and when to use various machine learning approaches (e.

g., 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.
• 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.

Responsibilities

• Build and deploy Machine Learning (ML) models and data pipelines, from training to inference, in production using MLOps best practices.
• Use pre-trained Generative AI models, deep learning models, or traditional machine learning models to solve customer problems.
• Monitor and maintain production ML models by identifying and correcting for model drift / staleness, incorporating user feedback loops, and retraining models as necessary.
• Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and / or custom built models.
• 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.

Benefits

• HSA, 100% employer-paid premiums, or buy-up medical / vision and dental coverage options for full-time employees.
• Equity Restricted Stock Units (RSUs) for eligible roles.
• Lucrative Employee Stock Purchase Program (15% discount).
• 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay).
• Monthly stipend to support your work and productivity.
• Flexible Time Away Program, plus Incidental Sick Leave.
• US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans.
• US employees receive 12 paid holidays per year.
• Up to 24 weeks of Parental Leave.
• Personal paid Volunteer Day to support our community.
• Opportunities for professional growth and development including access to LinkedIn Learning online courses.
• Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account.

In 2005, Smartsheet was founded on the idea that teams and millions of people worldwide deserve a better way to deliver their very best work.

Today, we deliver a leading cloud-based platform for work execution, empowering organizations to plan, capture, track, automate, and report on work at scale, resulting in more efficient processes and better business outcomes.

You will report to our Sr. Director, Data Science & BI located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

Company information : Smartsheet (NYSE : SMAR) is the enterprise platform for modern work management. By aligning people and technology so organizations can move faster and drive innovation, Smartsheet enables its millions of users to achieve more.

Visit www.smartsheet.com to learn more.

Find out if this opportunity is a good fit by reading all of the information that follows below.

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Remote working / work at home options are available for this role.